SlideShare ist ein Scribd-Unternehmen logo
1 von 54
Downloaden Sie, um offline zu lesen
Vietnam Residential
Energy Use
Energy use and associated CO2
emissions in residential
households in Vietnam

Cimigo                      Sustainable Futures Asia
Richard Burrage             Matt Parkes
richardburrage@cimigo.com   matt.parkes@sustainablefutures.asia
www.cimigo.com              www.sustainablefutures.asia


March 2013
Contents
   About the authors                                                         3

   Why does residential energy use matter?                                   6

   How did we understand energy use and CO2 emissions in Vietnamese homes?   11

   How does residential energy use vary?                                     17

   What impact do building materials have today?                             30

   Which energy conservation actions and attitudes prevail?                  34

   So what?                                                                  39

   About Sustainable Futures Asia                                            44

   About Cimigo                                                              48




                                               2
About the authors




                    3
Matt Parkes, Sustainable Futures Asia
                           Matt is the founder of Sustainable Futures Asia.
                            He is a UK qualified Architect with an MSc in
                            Climate Change and Sustainable Development.

                           Matt is involved with the UK Urban Development
                            Working Group, working with the UKTI and British
                            Council in promoting business and educational
                            links between the UK and Vietnam. In March
                            2010 he was responsible for producing the British
                            Council / UKTI’s ‘Sustainable Design &
                            Architecture Conference’ that was held in Ho Chi
                            Minh City.

                           He is now leading a PhD research project with The
                            Institute of Energy and Sustainable Development
                            at De Montfort University, UK, looking at
                            developing new models of low cost, energy self-
                            sufficient, sustainable housing for south east Asian
                            countries, focusing on Vietnam.

                           Matt moved to Vietnam in 2004, and prior to that
                            has lived and worked in the UK and Hong Kong.



                                4
Richard Burrage, Cimigo
   Richard Burrage has twenty one years
    of experience in market research and
    strategic consulting.

   Richard has worked across Asia
    Pacific consulting across a range of
    industries and business issues.

   Richard has spent the last sixteen
    years in Vietnam assisting in the
    development and building of
    numerous brands to achieve
    leadership positions.

   Richard is a UK national and resides
    in HCMC with his Vietnamese wife
    and their children.

   Richard founded Cimigo in 2003 and
    today has offices across eight
    countries in Asia.

                                           5
Why does residential
               energy use matter?




                 6
Increased energy demand – 800 Twh in 2030
                Population (Million)   Total mtCO2e (Million)                     800
140,000                                                                           700




                                                                Base Demand TWh
120,000                                                                           600
100,000                                                                           500
 80,000                                                                           400
 60,000                                                                           300
 40,000                                                                           200
 20,000                                                                           100
     0
                                                                                      0
                                                                                              1990        2000        2010       2020        2030

                                                                                          Historic and Future Energy Demand - 1990 to 2030
 Vietnam population and CO2 emission yearly growth
                                                                                          (Historic data – Tuyen & Michaelowa, 2004;
 (Population data - ADB, 2009; mt/CO2/capita – UNdata, 2009)
                                                                                          Future projections – Cuong, 2011)




                                                                                  7
37% is residential. US$124 billon investment required.
                      Coal          Gas                    Oil                Hydro                The estimated total investment
                      Nuclear       Diesel                 Renewables         Imports              capital required up to 2030 =
                                                                                                   US$123.8 Billion
                 80                                                                                (MONRE, 2011)


                 70                                                                                   Industry               Residential
                                                                                                      Other Buildings        Urban Infrastructure
                                                                                                      Others
                 60
                                                                                                              2%
                                                                                                                        4%
                 50
% Contribution




                 40                                                                                     20%
                                                                                                                                  37%
                 30

                 20

                 10
                                                                                                                37%
                  0
                          1995      2000            2010            2020               2030
                                                                                              Energy use by type
        Historic and Future % Fuel Contribution to Energy Generation - 1995 to 2030           (Energy Conservation Centre of HCMC: 2010)
        (Historic data – Tuyen & Michaelowa, 2004; Future projections – Cuong, 2011)



                                                                                  8
Which levers can be used to adjust energy use?

                                 •   Consumer habits.

                                 •   Extent of use of passive
                                     architecture.

                                 •   Use of high efficiency
                                     energy generation and
                                     management systems.




                             9
Residential dwellings in Vietnam




  Villas               Row Houses   Apartments


                               10
How did we understand
   energy use and CO2 emissions
            in Vietnamese homes?




                11
Cimigo interviewed 1,394 households nationwide
   This is a part of the Cimigo giving back programme which includes; Vietnamese
    Attitudes to Philanthropy, Vietnam’s NetCitizens and so much more, available at
    www.cimigo.com.

   Cimigo conducted a nationwide online survey in March 2013.

                                         Survey evaluation (N=1,394)
                                 86% positive towards the survey (scored 6-10)



      0 11 3       10       9            19                            23               17                     16




        Extremely Boring     2      3         4         5         6           7   8          9         Extremely Interesting


       0%        10%       20%     30%            40%       50%             60%   70%            80%       90%          100%




                                                                  12
Understanding dwellings and households therein
   Interviewing predominantly                          Household energy survey - sample distribution % (n=1394)

    urban (87%) and ABC                                             South                              54%
    economic (93%) households




                                 Region
    across 59 provinces.                                            North                        36%


                                                                  Central          10%

      ABC economic                                            Row house                                     69%
       households account for




                                 Dwelling
                                                                Apartment
       the top 65% of                                                                          29%

       household wealth                                         Villa house   2%
       distribution.



                                 Own or rent
                                                                      Own                                          78%


                                                                      Rent
   The mean average                                                                     22%


    households sharing a         # of Hholds/dwelling         1 household                              52%

    dwelling is 2.3.
                                                          2 - 3 households                 28%
                                                                                                             Mean 2.3 Hholds

                                                            4+ households                20%




                                          13
Exploring single household size and structure
                                                                                Household size and materials % (n=1394)
   Understanding the building
                                                                              100 or less                                 57%
    materials of the dwelling.




                                  Sq m /
                                  Hhold
                                                                               101 - 250                     30%            Mean 136 sqm

                                                                           More than 250          13%
                                                                                  1 floor                    30%




                                     # of floors
   Note the average row house                                                   2 floors                    31%
                                                                                                                            Mean 2.3 floors

    dwelling is;                                                                3+ floors                          39%
                                                                              1 - 3 rooms                    32%
      Width mode 4 metres




                                     # of rooms
                                                                                                                            Mean 4.7 rooms
                                                                             4 - 5 rooms                       37%

      Depth mode 20 metres                                                   6 - 7 rooms
                                                                               8+ rooms
                                                                                                       20%
                                                                                                  12%
      Floors mode 2                                                   Corrugated iron                              43%




                                     Roof materials
                                                                                 Cement                             42%
      Mean Sq metres 210                                                           Tiles         12%
                                                                                   Other    3%
                                                                                   Wood     1%
   The mean average                                                           Brickwork
                                     Floor materials Wall materials
                                                                                                                                67%
    apartment dwelling is 60 sq                                                  Cement                      29%
                                                                                    Steel   2%
    metres on a single level.                                                      Wood     1%
                                                                       Ceramic tiles tile                                             83%
                                                                                 Cement          10%
                                                                                   Wood      5%
                                                                                   Other    1%



                                                                      14
Per household space and key appliances
                                                                                   Household size and appliances % (n=1394)
   As dwellings are typically




                                           Sq m / Hhold
                                                                                   100 or less                              57%
    shared the mean average size
                                                                                     101 - 250                 30%
    of one household is:                                                                                                      Mean 136 sqm
                                                                               More than 250       13%

                                                                                  1 - 3 people                  35%




                                   # of people /
      Row house is 167 sqm.




                                       Hhold
                                                                                     4 people                  30%
                                                                                                                              Mean 4.2 people
      Apartment 50 sqm.                                                            5+ people                   34%




                                   # of electrical
                                                                                    < 20 items                                              88%




                                     appliances
                                                                                 20 - 40 items     11%
   The survey drilled down to
                                                                       Ventilation open to air                                        79%
    one household, their                                                            No aircon                           52%
    appliances and energy use.

                                           Air-con
                                                                                      1 aircon             28%

                                                                             2 or more aircon            20%

                                           Penetration of appliances         PC, Laptop Tablet                                               91%

                                                                            Washing machine                                       72%

                                                                        Electric water heater                          51%

                                                                                   Ceiling fan                        45%

                                                                            Solar water heater    10%

                                                                               Electric bicycle   8%



                                                                       15
Household durable penetration

                                                                       Household durable penetration (n=1394)

100   94          94                                                                                                                                                                                          3.00
                              91          91          89                                                                                   Incidence %
 90                                                               87         86
                                                                                                                                           Mean (inc. 0)
                                               2.51                                                                                                                                                           2.50
 80        2.39
                                                                                        72
 70                                                                                                67
                                   2.05                                                                                                                                                                       2.00
 60
                                                           1.64                                               51
                                                                                                                         48
 50                                                                                                                                 45                                                                        1.50

 40                                                                                                                                            37
                       1.16
                                                                       .97        .95                                                                                                                         1.00
 30                                                                                                                                                       23
                                                                                             .74        .78                   .78        .74
 20                                                                                                                .66
                                                                                                                                                                     10                                       .50
                                                                                                                                                    .38                         8         7
 10                                                                                                                                                                                                 4
                                                                                                                                                               .23        .11       .09       .08       .04
  0                                                                                                                                                                                                           .00




                                                                                                               16
How does residential
               energy use vary?




                 17
Electricity bill is 11% of household expenditure

                               Monthly electricity and household expenditure VND (n=1394)

                 Mean monthly VND electricity bill / household                          Mean other household VND expenditure / month

                 Electricity % of household expenditure

     6,000,000                                            606,142                                                      624,562       12%
                 565,758                                       11%                                                          11%
                                                                              529,284
     5,000,000
                               11%    461,777                                                                                        11%

                                                                                                  379,511
     4,000,000                                                                              11%
                                                                                                                                     11%




                                                                                                                         4,875,118
     3,000,000


                                                             4,728,298
                   4,577,512




                                                                                4,447,336
                                        4,129,043



                                                    10%                                                                              10%




                                                                                                     3,443,589
                                                                                                                 10%
     2,000,000

                                                                                                                                     10%
     1,000,000


            -                                                                                                                        9%
                  Total              Apartment            Row house            North               Central              South




                                                                         18
2.15 t-CO2 / household / annum


                 Variance in CO2 emmissions by household % (n=1,394)

                                                              t-CO2 / household / annum

                                                              t-CO2 / person in Hhold / annum
       2.50                      2.33
              2.15
                                                       2.03
       2.00

                                                                               1.55
       1.50


       1.00

                     0.56                  0.61
                                                              0.52
       0.50                                                                           0.41



         -
                Total              South                 North                   Central




                                                  19
3,722 KWH / household / annum


                 Variance in electricity use by household % (n=1,394)
      4,500
                                 4,042
      4,000   3,722                                                    kWh/ household / annum
                                                         3,530
                                                                       kWh / person in Hhold / annum
      3,500

      3,000
                                                                              2,689

      2,500

      2,000

      1,500
                      971                   1,063
                                                                 905
      1,000                                                                           717

       500

         -
                 Total              South                  North                Central




                                                    20
Factors to interrogate
              Total                  Total            Roof materials                 Corrugated iron
            Dwelling             Apartment            Roof materials                      Cement
            Dwelling             Row house            Roof materials                        Tiles
            Dwelling             Villa house          Wall materials                      Cement
             Region                 North             Wall materials                     Brickwork
             Region                Central              Floor finish                   Ceramic tiles
             Region                 South               Floor finish                      Cement
             Strata                   City         Exposed ventilation                       Yes
             Strata                  Rural         Exposed ventilation                       No
               SEC                    AB        # of electronic appliances                   <20
               SEC                     C        # of electronic appliances                  20-40
          Ownership                  Rent         Electric heated water              Washing clothes
          Ownership                  Own          Electric heated water            Washing in kitchen
     Household per dwelling         Only 1        Electric heated water          Washing in bathroom
     Household per dwelling          2 to 3       Cooking with electric           Cooking with Electric
     Household per dwelling       4 or more             Ceiling fans                    Ceiling fans
      People in household          3 or less               Aircon                        No Aircon
      People in household               4                  Aircon                         1 Aircon
      People in household         5 or more                Aircon                   2 or more Aircon
   Sq meter of each household    100 or less           Electric usage             Electric water heater
   Sq meter of each household      101-250             Electric usage              Solar water heater
   Sq meter of each household   More than 250          Electric usage              PC, laptop or tablet
             Floors                 1 Floor            Electric usage        Electric heated water machine
             Floors                2 Floors            Electric usage                 Electric bicycle
             Floors               3+ Floors            Water source                          Tap
       Number of rooms            1-3 rooms            Water source                     Tap & Well
       Number of rooms            4-5 rooms            Water source                      Well only
       Number of rooms            6-7 rooms
       Number of rooms            8 or more




                                                21
Most efficient have shared dwellings and large households
   Less living space per person provides more energy efficiency. Electricity efficiency is greatest
    in dwellings that have:
       Multiple households (and hence shared recourses)
       Large household sizes (4 plus)
       Yet demographic trends to less households/dwelling and less people per household.

   Rural households and households relying on well water are more efficient.
      Yet demographic trends are to urbanisation.

   Natural climate sees reduced use in Central followed by the North. Usage is highest in the
    South.

   Smaller structures are more efficient. Apartments followed by row houses with fewer rooms
    (and floors) use less.

   Renters are more efficient than home owners.




                                                    22
Least efficient have small households and air con
   Small households with three or less members are particularly inefficient users.

   Air conditioning has a massive impact on energy use.

   Inefficient households have larger homes (250 sqm +), 3 or more floors, many
    rooms and multiple air conditioners.

   Cooking with electricity and electric water heaters also increase use significantly.

   Solar water heaters have low penetration at 10%. However 3 in 10 households
    with a solar water heater also have an electric heater.




                                               23
Rural dwellings, in central Vietnam with no air con fair best

                                          Factors which lower electricity use by 8% or more of average (All dwellings n=1,394)



                                                                           People in      Household per                                                                   People in   Number of
        Strata           Water source            Region      Aircon        household        dwelling              Floor finish       Ownership       Dwelling             household     rooms




                                                                                                                                                        Apartment




                                                                                                                                                                                         1-3 rooms
                                                               No Aircon




                                                                              5 or more




                                                                                               4 or more
                              Well only




                                                                                                                       Cement
                                                   Central
          Rural




                                                                                                                                          Rent




                                                                                                                                                                             4
 30%

                                                                             22%
 20%
                                                                                                                                kWh / household / annum: index to average base=0

 10%                                                                                                                            kWh / person in Hhold / annum: index to average base=0

                                                                                              -7%
  0%
                                                                                                                                                                            -5%
                                                                                                                                                                    -9%                              -8%
 -10%                                                                                                                  -15%
                                                                                                                                                       -15%                 -9%
 -20%                                                                                                      -15%     -17%                -15%
                                                 -26%               -19%           -19%                                                                                               -19%
                            -25%
 -30%   -31%                                                 -23%
                                          -29%   -28%                                                                                   -27%
                  -35%
 -40%




                                                                                                           24
Many rooms, many air cons and small households fair worst

                                                 Factors which increase electricity use by 8% or more of average (All dwellings n=1,394)

                                         Sq meter of
                                            each                                                                                   Cooking with # of electronic          People in                           Number of
        Electric usage                    household          Region    Aircon        Electric usage             Floors               electric     appliances             household      Aircon                 rooms




                                                                                                                                        Cooking with Electric
              Electric water heater




                                                                                           Solar water heater




                                                                                                                                                                                          2 or more Aircon
                                             More than 250




                                                                                                                                                                                                                8 or more
                                                                                                                  3+ Floors
                                                                          1 Aircon




                                                                                                                                                                            3 or less
                                                                                                                                                                 20-40
                                                               South


 60%
                                                                                                                                                                52%                     53%                    52%
                                      kWh / household / annum: index to average base=0
 50%
                                      kWh / person in Hhold / annum: index to average base=0
 40%                                                                                                                                                                                    35%                    35%

                                            25%                                                                                                                 25%        26%
 30%                                                                                     26%
                                                                                                                23%                   18%
 20%                                                                                      14%
             11%                                                        11%                                     14%
                                             9%              9% 9%
               8%                                                                                                                     12%
 10%                                                                   5%
  0%

 -10%

 -20%                                                                                                                                                                      -18%




                                                                                                                              25
Row houses: Renters, with large households and no air con
fair well
                                Factors which lower electricity use by 8% or more of average (Row houses n=961)



                                                                   People in                       Household per    Number of       People in
       Strata       Region           Water source     Ownership   household        Aircon            dwelling         rooms        household          Region




                                                                                                                       4-5 rooms
                                                                                       No Aircon
                                                                      5 or more




                                                                                                        4 or more
                                          Well only
                      Central




                                                                                                                                                        North
         Rural




                                                         Rent




                                                                                                                                       4
20%
                                                                     17%

10%                                                                                                kWh / household / annum: index to average base=0

                                                                                                   kWh / person in Hhold / annum: index to average base=0
 0%

                                                                                                                       -9%            -7%             -5%
                                                                                                        -5%
-10%
                                                                                                                      -9%             -9%             -8%
                                                                                       -19%
-20%                                                                                                   -17%
                                        -22%
                    -28%                               -21%         -21%               -23%
-30%   -32%                            -25%
                      -30%                             -30%
             -34%
-40%




                                                                                  26
Row houses: small households and air con fair badly

                                Factors which increase electricity use by 8% or more of average (Row houses n=961)

                                                                                                                # of electronic
        Region                     Floors          Electric usage             Cooking with electric               appliances      Number of rooms   Aircon               People in household




                                                                                       Cooking with Electric
                                                         Solar water heater




                                                                                                                                                      2 or more Aircon
                                                                                                                                        8 or more
                                     3+ Floors




                                                                                                                                                                                 3 or less
                                                                                                                      20-40
             South




 50%
                                                                                                                    46%                44%          46%
 40%                 kWh / household / annum: index to average base=0                                                                                                          35%
                                                                                                                                        32%          33%
                     kWh / person in Hhold / annum: index to average base=0
 30%
                                                                                                                    23%
                                                                                     21%
                                                       20%
 20%                               16%

                                   10%                                               13%
 10%
                     9%                                13%
        8%
  0%


 -10%
                                                                                                                                                                                -13%
 -20%




                                                                                                               27
Apartments: large households, no air con fair well

             Factors which lower electricity use by 8% or more of average (Apartments n=410)




        People in household                      Aircon                                 Household per dwelling




                                                   No Aircon
                5 or more




                                                                                                  4 or more
 40%
                                                                    kWh / household / annum: index to average base=0

 30%                                                                kWh / person in Hhold / annum: index to average base=0


 20%

                                                                                                 -4%
 10%


  0%           32%

                                                                                                -11%
 -10%
               -17%                               -18%
 -20%
                                                  -16%

 -30%




                                                               28
Apartments: with air con, electric cooking and small
households fair badly
                               Factors which increase electricity use by 8% or more of average (Apartments n=410)


                                                                 Number of                                    People in        Electric heated Household per     Cooking with
        Region             Water source Roof materials             rooms        Electric usage                household             water        dwelling          electric                   Aircon




                                                                                                                                                                      Cooking with Electric
                                                                                      Electric water heater




                                                                                                                                     Washing clothes
                                               Corrugated iron




                                                                    6-7 rooms




                                                                                                                                                                                                1 Aircon
                                                                                                                   3 or less
             South




                                                                                                                                                        2 to 3
                                Tap




 40%
                                                                   32%
 30%                                                                                                                                                                                           27%
                                                                                                                                    21%                              18%
 20%                                                                                                                                                   16%
                                                                                    19%                            14%
                               9%             10%                  10%                                                                                               18%                      18%
         8%                                                                                                                                             9%
 10%                                                                                13%                                             14%
        7%                     8%             5%
  0%


 -10%                kWh / household / annum: index to average base=0


 -20%                kWh / person in Hhold / annum: index to average
                     base=0                                                                                    -22%
 -30%




                                                                                                              29
What impact do building
          materials have today?




                30
Building materials today have limited influence
   For row houses the optimal material (amongst existing use) is cement for roof,
    walls and flooring.

   For apartments the optimal materials (amongst existing use) are cement for roof,
    and brick for walls.




                                             31
Row houses: limited influence – cement most efficient

                                                        Building material impact (Row houses n=961)




       Dwelling         Roof materials
                              Corrugated iron   Roof materials   Roof materials   Wall materials     Wall materials       Floor finish          Floor finish




                                                                                                                               Ceramic tiles
            Row house




                                                                                                           Brickwork




                                                                                                                                                     Cement
                                                      Cement




                                                                                        Cement
                                                                       Tiles
 8%

 6%
                                                                     5%                kWh / household / annum: index to average base=0
                             4%
 4%                                                                                    kWh / person in Hhold / annum: index to average base=0
                                                                      2%
 2%                          1%                                                                          1% 1%
 0%
       0%                                                                                                                   -1%
       0%                                                                              -2%
 -2%                                                 -1%                                                                     -1%
                                                                                       -2%
 -4%
                                                                                                                                                  -6%
 -6%
                                                    -6%
 -8%
                                                                                                                                                   -8%
-10%




                                                                                  32
Apartments: cement roof and brick walls fair well

                                              Building material impact (Apartments n=410)




       Dwelling       Roof materials                   Roof materials            Wall materials          Wall materials    Floor finish




                            Corrugated iron




                                                                                                                                Ceramic tiles
          Apartment




                                                                                                               Brickwork
                                                             Cement




                                                                                       Cement
 12%
                           10%
 10%
                                                         kWh / household / annum: index to average base=0
 8%
                                                         kWh / person in Hhold / annum: index to average base=0
 6%                        5%                                                                                                5%
 4%
                                                                                      2%
                                                                                                                              4%
 2%
         0%                                                                           1%                     0%
       0%
 0%
                                                            -3%
 -2%
                                                                                                             -2%
 -4%

 -6%
                                                            -5%




                                                                            33
Which energy conservation
           actions and attitudes
                           prevail?




                  34
Growing vegetables and compost actions
   Households that are rural, in                              Renewable actions % (n=1394)
    the central region and use                   0        20             40                    60                80              100
    well water are more likely to        Total                                       47
                                                                              40
    exhibit renewable               Apartment                                 42
                                                                                                    Grow vegetables or herbs at home
                                                                     35
    behaviours in the home.                                                              48
                                                                                                    Use food and vegetable waste for
                                    Row house                                                       composting or animal feed
                                                                               42

                                        North                                            48
                                                                                    45
   Even 1 in 3 inhabiting             Central                                                          66
                                                                                               57
    apartments are active.                                                     42
                                        South                       34

                                          City                                 42
                                                                    34

                                         Rural                                                                  76
                                                                                                                76

                                         Rent                       33
                                                                  31

                                         Own                                              51
                                                                               43

                                          Tap                                 41
                                                                    35

                                    Tap & Well                                      45
                                                                          39

                                     Well only                                                             68
                                                                                                      64




                                                     35
Recycling waste and rain water harvesting actions
   Recycling is common for 4 in                                    Recycling actions % (n=1394)
    10 households.                               0        20                    40                  60               80              100

                                         Total                                            45
                                                               22

   Households that are rural       Apartment                   23
                                                                                           47            Separate recyclable waste from
                                                                                                         non-recyclable waste

    and use well water are more     Row house                  21
                                                                                      44
                                                                                                         Capture rain water and use it for
    likely to harvest rain water.       North                        25
                                                                                               49        cooking, washing, flushing or
                                                                                                         garden watering

                                       Central                                       42
                                                                      27

   Even 1 in 5 inhabiting              South             18
                                                                                      43

    apartments harvest rain               City                                            45
                                                          18
    water.                                                                              46
                                         Rural                                        43

                                         Rent                                                  50
                                                               20

                                         Own                                          44
                                                                22

                                          Tap                                             45
                                                          18

                                    Tap & Well                                            45
                                                               20

                                     Well only                                       41
                                                                           32




                                                     36
Strong comprehension of renewable energy benefits
   Nearly all are aware of                       97% are aware of renewable energies
                                           Perceived benefits of renewable energies % (n=1394)
    renewable energy sources.
                                                                             0             50              100



   Comprehension of                          Better for the environment                                   90


    environmental impact and
    potential energy bill savings         They will reduce my energy bills                            79

    is high.
                                                           They are safer                        54



                                    They are better for my family's health                  47



                                                   They are more reliable             21



                                                   They will save me time            17



                                                             I don't know        1




                                     37
Barriers are design build, cost and knowledge
                                        97% are aware of renewable energies
                                          Reasons for not using % (n=1394)
                                                                  0               20              40        60

                My home was not designed for these types of …                                          44

                                    They are expensive to buy                                30

                                             I don't know how                                30

              These energy sources are not popular in homes                                 27

                         I don’t have the time to organise this                        23

                     These energy sources are not convenient                      16

                      I rent my home and can not take action                      16

                I live in an apartment and con not take action                    16

               The weather is not right for this type of energy               8

                  I am not convinced they will save me money              6

                           I do not trust these energy sources        3

                                                  I don't know        2

                       They are not reliable sources of energy        2

            I am not convinced they will help the environment         2

                          They are not safe sources of energy         2




                                                              38
So what?




           39
Household energy efficiency will decline without action
1. The most energy efficient households have shared dwellings and large households. The least
   efficient have small households and air conditioning.

2. The most energy efficient households which exist today are declining. They are a factor of a
   low living space per person.

3. The desire to live in urban Vietnam, in single household dwellings, with less generations and
   hence a shrinking household size, is not a new phenomena.

4. Increasing economic progress will only increase demands for energy sapping durables and
   devices, straining available energy resources.

5. The building materials used to date have limited influence on household energy efficiency.

6. Consumers have a strong comprehension of renewable energy benefits. However the
   barriers are design, build, cost and knowledge.




                                                  40
Design, build, access, incentive and education
1. More energy efficient design to reduce energy resources for cooling particularly.

2. More efficient building design and materials which enable dwellings to absorb,
   retain, and release, at the appropriate times, radiate heat.

3. Residential access to and business incentives to provide renewable resources in
   new built homes.

4. Residential access to and incentives to convert to more efficient cooling/heating.
   Access encompasses availability and affordability (possibly financing).

5. Raising consumer knowledge and demonstrating household costs savings are both
   critical.




                                             41
What next…
1. A nationwide standard method of survey measurement and benchmarking needs
   to be established.

2. Promote greater transparency and sharing of data, making it more readily available
   to research institutions, corporate bodies and individuals who are looking to carry
   out research that support the development aims for Vietnam.

3. Build an educational campaign to promote comprehension of and accessibility to
   the 1. efficient use of existing energy, 2. conversion to more efficient energy
   sources and 3. new design and build models.

4. Establish a new public/private sector project, aimed at developing energy efficient
   housing models, against which future developments can be measured.




                                             42
Download your copy
              at www.cimigo.com



             cimigo.com
      The Voice of the Customer


                   43
About Sustainable Futures Asia




                  44
Professional ‘sustainability’ services
Sustainable Futures Asia (SFA) was established in 2011 to
provide professional sustainability services throughout the South
East Asia region.

SFA provide services in three key areas:
• Project Consulting – assisting governments and private
   enterprise in reviewing existing, and developing new
   economically sustainable business strategies.
• Architecture & Urbanism – providing sustainable design
   solutions, either leading or as part of the client design team,
   including VGBC Lotus accreditation services.
• Knowledge Creation – carrying out research in to
   sustainability issues, and organising sustainability
   conferences and other knowledge sharing events.


                    www.sustainablefutures.asia

                                                45
Founding members
          Matt Parkes RIBA
          Matt is a UK registered architect who has
          worked in Vietnam since 2004, having previously
          lived and worked in the UK and Hong Kong.
          With an MSc in Climate Change and Sustainable
          Development, Matt is now undertaking PhD
          research into new models of sustainable
          housing here in Vietnam.


                                          Dr Vu Thi Hong Hanh
                                          Hanh is a Vietnamese registered architect
                                          who has lived and worked in Vietnam,
                                          Australia and the United Kingdom,
                                          completing her MSc in Melbourne,
                                          Australia and her PhD in Oxford, UK.
                                          Hanh teaches at the Ho Chi Minh City
                                          University of Architecture.

                                     46
Recent clients include




                              Partner organisations




    Khai Duong Joint
     Stock Company


                         47
About Cimigo




               48
Starting 10 years ago in Vietnam
we’ve expanded to...


      India Hong Kong
  IndonesiaVietnam
    ChinaSingapore   Philippines




  We now have the privilege of representing

         3 billion customers
                              49
From seven
main cities
  in Vietnam…




                50
Cimigo’s extensive set of resources and expertise...

                              5 Call Centres
  130 Full-time staff           Online Panels
          45 Consultants Face-to-face
      12 Qualitative Specialists 650 Fieldworkers


…put the consumer into the boardroom to deliver
     consumer-rooted growth


                               51
Cimigo delivers a full range of services to ensure your
business remains connected to your consumers

  1. Consulting Services
     Motivational research         Market tracking
Market scoping and segmentation Product optimisation
        Concept testing              Brand equity
  New product development      Touch point management
       Brand positioning           Customer loyalty




 2. Research Services
         Ethnography           Telephone interviewing
    Accompanied shopping           Street intercepts
     In-depth interviewing        Mystery shopping
         Focus groups               On line surveys
           Vox pops             Social media tracking


                                                52
Cimigo for Brand Value
And for stronger consumer engagement &
intelligence.
  www.facebook.com/CimigoVietnam

  www.linkedin.com/company/cimigo

  @cimigovietnam




                                    53
Thank You




Cimigo                      Sustainable Futures Asia
Richard Burrage             Matt Parkes
richardburrage@cimigo.com   matt.parkes@sustainablefutures.asia
www.cimigo.com              www.sustainablefutures.asia


March 2013

Weitere ähnliche Inhalte

Was ist angesagt?

Allyson pollock
Allyson pollockAllyson pollock
Allyson pollock
jenidoyle
 
Renewable Energy Development in Germany / Rainer Hinrichs-Rahlwes
Renewable Energy Development in Germany / Rainer Hinrichs-RahlwesRenewable Energy Development in Germany / Rainer Hinrichs-Rahlwes
Renewable Energy Development in Germany / Rainer Hinrichs-Rahlwes
Sitra Kestävä talous -foorumi
 
Schneider Electric Sustainable Development
Schneider Electric Sustainable DevelopmentSchneider Electric Sustainable Development
Schneider Electric Sustainable Development
bdeclerc
 
AHA Wonderful Copenhagen
AHA Wonderful CopenhagenAHA Wonderful Copenhagen
AHA Wonderful Copenhagen
dboehlen
 
Cloud-Computing and Energy Efficiency an holistic approach.
Cloud-Computing and Energy Efficiency an holistic approach.Cloud-Computing and Energy Efficiency an holistic approach.
Cloud-Computing and Energy Efficiency an holistic approach.
Cisco Russia
 

Was ist angesagt? (20)

Taiwan's green energy ind alex tong itri 2012 10 31
Taiwan's green energy ind alex tong itri 2012 10 31Taiwan's green energy ind alex tong itri 2012 10 31
Taiwan's green energy ind alex tong itri 2012 10 31
 
Smart City Expo: What is next?
Smart City Expo: What is next?Smart City Expo: What is next?
Smart City Expo: What is next?
 
Creating Smarter Cities 2011 - 23 - Karen Fraser - EU Smart Cities and Commun...
Creating Smarter Cities 2011 - 23 - Karen Fraser - EU Smart Cities and Commun...Creating Smarter Cities 2011 - 23 - Karen Fraser - EU Smart Cities and Commun...
Creating Smarter Cities 2011 - 23 - Karen Fraser - EU Smart Cities and Commun...
 
Allyson pollock
Allyson pollockAllyson pollock
Allyson pollock
 
05 development in re policy landscape in the region final te
05 development in re policy landscape in the region final te05 development in re policy landscape in the region final te
05 development in re policy landscape in the region final te
 
Company Profile GreenMax Capital Advisors January 2012
Company Profile GreenMax Capital Advisors January 2012Company Profile GreenMax Capital Advisors January 2012
Company Profile GreenMax Capital Advisors January 2012
 
CBI climate change forum seminar - Ric Parker
CBI climate change forum seminar - Ric ParkerCBI climate change forum seminar - Ric Parker
CBI climate change forum seminar - Ric Parker
 
P 3.1 Innovations for Better Livelihoods
P 3.1 Innovations for Better LivelihoodsP 3.1 Innovations for Better Livelihoods
P 3.1 Innovations for Better Livelihoods
 
World Class Public Services
World Class Public ServicesWorld Class Public Services
World Class Public Services
 
Renewable Energy Development in Germany / Rainer Hinrichs-Rahlwes
Renewable Energy Development in Germany / Rainer Hinrichs-RahlwesRenewable Energy Development in Germany / Rainer Hinrichs-Rahlwes
Renewable Energy Development in Germany / Rainer Hinrichs-Rahlwes
 
Schneider Electric Sustainable Development
Schneider Electric Sustainable DevelopmentSchneider Electric Sustainable Development
Schneider Electric Sustainable Development
 
CARICOM-Canada Trade Development Forum - EDC and its relationship with CARICO...
CARICOM-Canada Trade Development Forum - EDC and its relationship with CARICO...CARICOM-Canada Trade Development Forum - EDC and its relationship with CARICO...
CARICOM-Canada Trade Development Forum - EDC and its relationship with CARICO...
 
AHA Wonderful Copenhagen
AHA Wonderful CopenhagenAHA Wonderful Copenhagen
AHA Wonderful Copenhagen
 
Scott Fogler - Globalization and Cooperation: Chemical Engineers Working to S...
Scott Fogler - Globalization and Cooperation: Chemical Engineers Working to S...Scott Fogler - Globalization and Cooperation: Chemical Engineers Working to S...
Scott Fogler - Globalization and Cooperation: Chemical Engineers Working to S...
 
The Geo-Political and Economic Implications of the ASEAN-China Free Trade Agr...
The Geo-Political and Economic Implications of the ASEAN-China Free Trade Agr...The Geo-Political and Economic Implications of the ASEAN-China Free Trade Agr...
The Geo-Political and Economic Implications of the ASEAN-China Free Trade Agr...
 
Pearl River Delta 2020
Pearl River Delta 2020Pearl River Delta 2020
Pearl River Delta 2020
 
VASO in China
VASO in ChinaVASO in China
VASO in China
 
Market Research Report: Lighting Industry in India 2010
Market Research Report: Lighting Industry in India 2010Market Research Report: Lighting Industry in India 2010
Market Research Report: Lighting Industry in India 2010
 
Day2 session 3: Jordan
Day2 session 3: JordanDay2 session 3: Jordan
Day2 session 3: Jordan
 
Cloud-Computing and Energy Efficiency an holistic approach.
Cloud-Computing and Energy Efficiency an holistic approach.Cloud-Computing and Energy Efficiency an holistic approach.
Cloud-Computing and Energy Efficiency an holistic approach.
 

Andere mochten auch

Philanthropy in Vietnam
Philanthropy in VietnamPhilanthropy in Vietnam
Philanthropy in Vietnam
Cimigo
 
Customer Service in Vietnam
Customer Service in VietnamCustomer Service in Vietnam
Customer Service in Vietnam
Cimigo
 

Andere mochten auch (8)

Philanthropy in Vietnam
Philanthropy in VietnamPhilanthropy in Vietnam
Philanthropy in Vietnam
 
Cimigo - Consumers in Mobile & Digital World
Cimigo - Consumers in Mobile & Digital World Cimigo - Consumers in Mobile & Digital World
Cimigo - Consumers in Mobile & Digital World
 
Vietnam: Strategies and opportunities for the creative industries sector
Vietnam: Strategies and opportunities for the creative industries sectorVietnam: Strategies and opportunities for the creative industries sector
Vietnam: Strategies and opportunities for the creative industries sector
 
Customer Service in Vietnam
Customer Service in VietnamCustomer Service in Vietnam
Customer Service in Vietnam
 
Online Mobile and Social Networks in Vietnam, October 2015
Online Mobile and Social Networks in Vietnam, October 2015Online Mobile and Social Networks in Vietnam, October 2015
Online Mobile and Social Networks in Vietnam, October 2015
 
TV Commercials still rule in much of Asia - How effective is yours?
TV Commercials still rule in much of Asia - How effective is yours?TV Commercials still rule in much of Asia - How effective is yours?
TV Commercials still rule in much of Asia - How effective is yours?
 
Cimigo - Consumer Healthcare Trends 2015
Cimigo - Consumer Healthcare Trends 2015Cimigo - Consumer Healthcare Trends 2015
Cimigo - Consumer Healthcare Trends 2015
 
Cimigo consumer trends vietnam 2016
Cimigo consumer trends vietnam 2016Cimigo consumer trends vietnam 2016
Cimigo consumer trends vietnam 2016
 

Ähnlich wie Cimigo on vietnam residential energy use 2013

Role of carbon finance in promoting renewable energy development in india
Role of carbon finance in promoting renewable energy development in indiaRole of carbon finance in promoting renewable energy development in india
Role of carbon finance in promoting renewable energy development in india
Pallav Purohit
 
20120414tanaka presentation
20120414tanaka presentation20120414tanaka presentation
20120414tanaka presentation
Fusaji Hayasaka
 
Hoffman presentation
Hoffman presentationHoffman presentation
Hoffman presentation
Leslie Feeney
 
Amg investor presentation q3 2011
Amg   investor presentation q3 2011Amg   investor presentation q3 2011
Amg investor presentation q3 2011
AMG
 
DESC: ICT Enablement of Low Carbon Cities
DESC: ICT Enablement of Low Carbon CitiesDESC: ICT Enablement of Low Carbon Cities
DESC: ICT Enablement of Low Carbon Cities
zadeknet
 
Norman anderson presentation gif
Norman anderson presentation gifNorman anderson presentation gif
Norman anderson presentation gif
Vikki Jacobs
 
SMART Seminar - Envisioning Low Carbon Cities: Challenges and Opportunities
SMART Seminar - Envisioning Low Carbon Cities: Challenges and OpportunitiesSMART Seminar - Envisioning Low Carbon Cities: Challenges and Opportunities
SMART Seminar - Envisioning Low Carbon Cities: Challenges and Opportunities
SMART Infrastructure Facility
 

Ähnlich wie Cimigo on vietnam residential energy use 2013 (20)

03 Alexandre Fernandes Adene 22nd Jan 2010 Ics
03 Alexandre Fernandes Adene 22nd Jan 2010 Ics03 Alexandre Fernandes Adene 22nd Jan 2010 Ics
03 Alexandre Fernandes Adene 22nd Jan 2010 Ics
 
Role of carbon finance in promoting renewable energy development in india
Role of carbon finance in promoting renewable energy development in indiaRole of carbon finance in promoting renewable energy development in india
Role of carbon finance in promoting renewable energy development in india
 
20100315 Fcc Corporativa Ingles 2009
20100315 Fcc Corporativa Ingles 200920100315 Fcc Corporativa Ingles 2009
20100315 Fcc Corporativa Ingles 2009
 
Tsing Capital Presentation by Daniel Zhu
Tsing Capital Presentation by Daniel ZhuTsing Capital Presentation by Daniel Zhu
Tsing Capital Presentation by Daniel Zhu
 
Energy Issues in the New Congress
Energy Issues in the New CongressEnergy Issues in the New Congress
Energy Issues in the New Congress
 
20120414tanaka presentation
20120414tanaka presentation20120414tanaka presentation
20120414tanaka presentation
 
Careers and Current Trends in the ICT Industry
Careers and Current Trends  in  the ICT IndustryCareers and Current Trends  in  the ICT Industry
Careers and Current Trends in the ICT Industry
 
Hoffman presentation
Hoffman presentationHoffman presentation
Hoffman presentation
 
Mechanical biological treatment - solution or hype?
Mechanical biological treatment  - solution or hype?Mechanical biological treatment  - solution or hype?
Mechanical biological treatment - solution or hype?
 
Amg investor presentation q3 2011
Amg   investor presentation q3 2011Amg   investor presentation q3 2011
Amg investor presentation q3 2011
 
Increased investments in renewable energy in emerging markets is good for the EU
Increased investments in renewable energy in emerging markets is good for the EUIncreased investments in renewable energy in emerging markets is good for the EU
Increased investments in renewable energy in emerging markets is good for the EU
 
Andrew Williams - The Role of the Built Environment in Social Programmes - He...
Andrew Williams - The Role of the Built Environment in Social Programmes - He...Andrew Williams - The Role of the Built Environment in Social Programmes - He...
Andrew Williams - The Role of the Built Environment in Social Programmes - He...
 
Amg investor presentation january 2012
Amg   investor presentation january 2012Amg   investor presentation january 2012
Amg investor presentation january 2012
 
DESC: ICT Enablement of Low Carbon Cities
DESC: ICT Enablement of Low Carbon CitiesDESC: ICT Enablement of Low Carbon Cities
DESC: ICT Enablement of Low Carbon Cities
 
Norman anderson presentation gif
Norman anderson presentation gifNorman anderson presentation gif
Norman anderson presentation gif
 
SMART Seminar - Envisioning Low Carbon Cities: Challenges and Opportunities
SMART Seminar - Envisioning Low Carbon Cities: Challenges and OpportunitiesSMART Seminar - Envisioning Low Carbon Cities: Challenges and Opportunities
SMART Seminar - Envisioning Low Carbon Cities: Challenges and Opportunities
 
Utr. prog. thursd. atta ur-rahman
Utr. prog. thursd. atta ur-rahmanUtr. prog. thursd. atta ur-rahman
Utr. prog. thursd. atta ur-rahman
 
Future of Carbon in China - Beijing Energy Network
Future of Carbon in China - Beijing Energy NetworkFuture of Carbon in China - Beijing Energy Network
Future of Carbon in China - Beijing Energy Network
 
Webcast: Crafting Clarity in a Climate of Chaos
Webcast: Crafting Clarity in a Climate of ChaosWebcast: Crafting Clarity in a Climate of Chaos
Webcast: Crafting Clarity in a Climate of Chaos
 
Welsh EfW policy - technology assessment of high thermal efficiency solutions
Welsh EfW policy -  technology assessment of high thermal efficiency solutionsWelsh EfW policy -  technology assessment of high thermal efficiency solutions
Welsh EfW policy - technology assessment of high thermal efficiency solutions
 

Kürzlich hochgeladen

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 

Kürzlich hochgeladen (20)

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 

Cimigo on vietnam residential energy use 2013

  • 1. Vietnam Residential Energy Use Energy use and associated CO2 emissions in residential households in Vietnam Cimigo Sustainable Futures Asia Richard Burrage Matt Parkes richardburrage@cimigo.com matt.parkes@sustainablefutures.asia www.cimigo.com www.sustainablefutures.asia March 2013
  • 2. Contents  About the authors 3  Why does residential energy use matter? 6  How did we understand energy use and CO2 emissions in Vietnamese homes? 11  How does residential energy use vary? 17  What impact do building materials have today? 30  Which energy conservation actions and attitudes prevail? 34  So what? 39  About Sustainable Futures Asia 44  About Cimigo 48 2
  • 4. Matt Parkes, Sustainable Futures Asia  Matt is the founder of Sustainable Futures Asia. He is a UK qualified Architect with an MSc in Climate Change and Sustainable Development.  Matt is involved with the UK Urban Development Working Group, working with the UKTI and British Council in promoting business and educational links between the UK and Vietnam. In March 2010 he was responsible for producing the British Council / UKTI’s ‘Sustainable Design & Architecture Conference’ that was held in Ho Chi Minh City.  He is now leading a PhD research project with The Institute of Energy and Sustainable Development at De Montfort University, UK, looking at developing new models of low cost, energy self- sufficient, sustainable housing for south east Asian countries, focusing on Vietnam.  Matt moved to Vietnam in 2004, and prior to that has lived and worked in the UK and Hong Kong. 4
  • 5. Richard Burrage, Cimigo  Richard Burrage has twenty one years of experience in market research and strategic consulting.  Richard has worked across Asia Pacific consulting across a range of industries and business issues.  Richard has spent the last sixteen years in Vietnam assisting in the development and building of numerous brands to achieve leadership positions.  Richard is a UK national and resides in HCMC with his Vietnamese wife and their children.  Richard founded Cimigo in 2003 and today has offices across eight countries in Asia. 5
  • 6. Why does residential energy use matter? 6
  • 7. Increased energy demand – 800 Twh in 2030 Population (Million) Total mtCO2e (Million) 800 140,000 700 Base Demand TWh 120,000 600 100,000 500 80,000 400 60,000 300 40,000 200 20,000 100 0 0 1990 2000 2010 2020 2030 Historic and Future Energy Demand - 1990 to 2030 Vietnam population and CO2 emission yearly growth (Historic data – Tuyen & Michaelowa, 2004; (Population data - ADB, 2009; mt/CO2/capita – UNdata, 2009) Future projections – Cuong, 2011) 7
  • 8. 37% is residential. US$124 billon investment required. Coal Gas Oil Hydro The estimated total investment Nuclear Diesel Renewables Imports capital required up to 2030 = US$123.8 Billion 80 (MONRE, 2011) 70 Industry Residential Other Buildings Urban Infrastructure Others 60 2% 4% 50 % Contribution 40 20% 37% 30 20 10 37% 0 1995 2000 2010 2020 2030 Energy use by type Historic and Future % Fuel Contribution to Energy Generation - 1995 to 2030 (Energy Conservation Centre of HCMC: 2010) (Historic data – Tuyen & Michaelowa, 2004; Future projections – Cuong, 2011) 8
  • 9. Which levers can be used to adjust energy use? • Consumer habits. • Extent of use of passive architecture. • Use of high efficiency energy generation and management systems. 9
  • 10. Residential dwellings in Vietnam Villas Row Houses Apartments 10
  • 11. How did we understand energy use and CO2 emissions in Vietnamese homes? 11
  • 12. Cimigo interviewed 1,394 households nationwide  This is a part of the Cimigo giving back programme which includes; Vietnamese Attitudes to Philanthropy, Vietnam’s NetCitizens and so much more, available at www.cimigo.com.  Cimigo conducted a nationwide online survey in March 2013. Survey evaluation (N=1,394) 86% positive towards the survey (scored 6-10) 0 11 3 10 9 19 23 17 16 Extremely Boring 2 3 4 5 6 7 8 9 Extremely Interesting 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 12
  • 13. Understanding dwellings and households therein  Interviewing predominantly Household energy survey - sample distribution % (n=1394) urban (87%) and ABC South 54% economic (93%) households Region across 59 provinces. North 36% Central 10%  ABC economic Row house 69% households account for Dwelling Apartment the top 65% of 29% household wealth Villa house 2% distribution. Own or rent Own 78% Rent  The mean average 22% households sharing a # of Hholds/dwelling 1 household 52% dwelling is 2.3. 2 - 3 households 28% Mean 2.3 Hholds 4+ households 20% 13
  • 14. Exploring single household size and structure Household size and materials % (n=1394)  Understanding the building 100 or less 57% materials of the dwelling. Sq m / Hhold 101 - 250 30% Mean 136 sqm More than 250 13% 1 floor 30% # of floors  Note the average row house 2 floors 31% Mean 2.3 floors dwelling is; 3+ floors 39% 1 - 3 rooms 32%  Width mode 4 metres # of rooms Mean 4.7 rooms 4 - 5 rooms 37%  Depth mode 20 metres 6 - 7 rooms 8+ rooms 20% 12%  Floors mode 2 Corrugated iron 43% Roof materials Cement 42%  Mean Sq metres 210 Tiles 12% Other 3% Wood 1%  The mean average Brickwork Floor materials Wall materials 67% apartment dwelling is 60 sq Cement 29% Steel 2% metres on a single level. Wood 1% Ceramic tiles tile 83% Cement 10% Wood 5% Other 1% 14
  • 15. Per household space and key appliances Household size and appliances % (n=1394)  As dwellings are typically Sq m / Hhold 100 or less 57% shared the mean average size 101 - 250 30% of one household is: Mean 136 sqm More than 250 13% 1 - 3 people 35% # of people /  Row house is 167 sqm. Hhold 4 people 30% Mean 4.2 people  Apartment 50 sqm. 5+ people 34% # of electrical < 20 items 88% appliances 20 - 40 items 11%  The survey drilled down to Ventilation open to air 79% one household, their No aircon 52% appliances and energy use. Air-con 1 aircon 28% 2 or more aircon 20% Penetration of appliances PC, Laptop Tablet 91% Washing machine 72% Electric water heater 51% Ceiling fan 45% Solar water heater 10% Electric bicycle 8% 15
  • 16. Household durable penetration Household durable penetration (n=1394) 100 94 94 3.00 91 91 89 Incidence % 90 87 86 Mean (inc. 0) 2.51 2.50 80 2.39 72 70 67 2.05 2.00 60 1.64 51 48 50 45 1.50 40 37 1.16 .97 .95 1.00 30 23 .74 .78 .78 .74 20 .66 10 .50 .38 8 7 10 4 .23 .11 .09 .08 .04 0 .00 16
  • 17. How does residential energy use vary? 17
  • 18. Electricity bill is 11% of household expenditure Monthly electricity and household expenditure VND (n=1394) Mean monthly VND electricity bill / household Mean other household VND expenditure / month Electricity % of household expenditure 6,000,000 606,142 624,562 12% 565,758 11% 11% 529,284 5,000,000 11% 461,777 11% 379,511 4,000,000 11% 11% 4,875,118 3,000,000 4,728,298 4,577,512 4,447,336 4,129,043 10% 10% 3,443,589 10% 2,000,000 10% 1,000,000 - 9% Total Apartment Row house North Central South 18
  • 19. 2.15 t-CO2 / household / annum Variance in CO2 emmissions by household % (n=1,394) t-CO2 / household / annum t-CO2 / person in Hhold / annum 2.50 2.33 2.15 2.03 2.00 1.55 1.50 1.00 0.56 0.61 0.52 0.50 0.41 - Total South North Central 19
  • 20. 3,722 KWH / household / annum Variance in electricity use by household % (n=1,394) 4,500 4,042 4,000 3,722 kWh/ household / annum 3,530 kWh / person in Hhold / annum 3,500 3,000 2,689 2,500 2,000 1,500 971 1,063 905 1,000 717 500 - Total South North Central 20
  • 21. Factors to interrogate Total Total Roof materials Corrugated iron Dwelling Apartment Roof materials Cement Dwelling Row house Roof materials Tiles Dwelling Villa house Wall materials Cement Region North Wall materials Brickwork Region Central Floor finish Ceramic tiles Region South Floor finish Cement Strata City Exposed ventilation Yes Strata Rural Exposed ventilation No SEC AB # of electronic appliances <20 SEC C # of electronic appliances 20-40 Ownership Rent Electric heated water Washing clothes Ownership Own Electric heated water Washing in kitchen Household per dwelling Only 1 Electric heated water Washing in bathroom Household per dwelling 2 to 3 Cooking with electric Cooking with Electric Household per dwelling 4 or more Ceiling fans Ceiling fans People in household 3 or less Aircon No Aircon People in household 4 Aircon 1 Aircon People in household 5 or more Aircon 2 or more Aircon Sq meter of each household 100 or less Electric usage Electric water heater Sq meter of each household 101-250 Electric usage Solar water heater Sq meter of each household More than 250 Electric usage PC, laptop or tablet Floors 1 Floor Electric usage Electric heated water machine Floors 2 Floors Electric usage Electric bicycle Floors 3+ Floors Water source Tap Number of rooms 1-3 rooms Water source Tap & Well Number of rooms 4-5 rooms Water source Well only Number of rooms 6-7 rooms Number of rooms 8 or more 21
  • 22. Most efficient have shared dwellings and large households  Less living space per person provides more energy efficiency. Electricity efficiency is greatest in dwellings that have:  Multiple households (and hence shared recourses)  Large household sizes (4 plus)  Yet demographic trends to less households/dwelling and less people per household.  Rural households and households relying on well water are more efficient.  Yet demographic trends are to urbanisation.  Natural climate sees reduced use in Central followed by the North. Usage is highest in the South.  Smaller structures are more efficient. Apartments followed by row houses with fewer rooms (and floors) use less.  Renters are more efficient than home owners. 22
  • 23. Least efficient have small households and air con  Small households with three or less members are particularly inefficient users.  Air conditioning has a massive impact on energy use.  Inefficient households have larger homes (250 sqm +), 3 or more floors, many rooms and multiple air conditioners.  Cooking with electricity and electric water heaters also increase use significantly.  Solar water heaters have low penetration at 10%. However 3 in 10 households with a solar water heater also have an electric heater. 23
  • 24. Rural dwellings, in central Vietnam with no air con fair best Factors which lower electricity use by 8% or more of average (All dwellings n=1,394) People in Household per People in Number of Strata Water source Region Aircon household dwelling Floor finish Ownership Dwelling household rooms Apartment 1-3 rooms No Aircon 5 or more 4 or more Well only Cement Central Rural Rent 4 30% 22% 20% kWh / household / annum: index to average base=0 10% kWh / person in Hhold / annum: index to average base=0 -7% 0% -5% -9% -8% -10% -15% -15% -9% -20% -15% -17% -15% -26% -19% -19% -19% -25% -30% -31% -23% -29% -28% -27% -35% -40% 24
  • 25. Many rooms, many air cons and small households fair worst Factors which increase electricity use by 8% or more of average (All dwellings n=1,394) Sq meter of each Cooking with # of electronic People in Number of Electric usage household Region Aircon Electric usage Floors electric appliances household Aircon rooms Cooking with Electric Electric water heater Solar water heater 2 or more Aircon More than 250 8 or more 3+ Floors 1 Aircon 3 or less 20-40 South 60% 52% 53% 52% kWh / household / annum: index to average base=0 50% kWh / person in Hhold / annum: index to average base=0 40% 35% 35% 25% 25% 26% 30% 26% 23% 18% 20% 14% 11% 11% 14% 9% 9% 9% 8% 12% 10% 5% 0% -10% -20% -18% 25
  • 26. Row houses: Renters, with large households and no air con fair well Factors which lower electricity use by 8% or more of average (Row houses n=961) People in Household per Number of People in Strata Region Water source Ownership household Aircon dwelling rooms household Region 4-5 rooms No Aircon 5 or more 4 or more Well only Central North Rural Rent 4 20% 17% 10% kWh / household / annum: index to average base=0 kWh / person in Hhold / annum: index to average base=0 0% -9% -7% -5% -5% -10% -9% -9% -8% -19% -20% -17% -22% -28% -21% -21% -23% -30% -32% -25% -30% -30% -34% -40% 26
  • 27. Row houses: small households and air con fair badly Factors which increase electricity use by 8% or more of average (Row houses n=961) # of electronic Region Floors Electric usage Cooking with electric appliances Number of rooms Aircon People in household Cooking with Electric Solar water heater 2 or more Aircon 8 or more 3+ Floors 3 or less 20-40 South 50% 46% 44% 46% 40% kWh / household / annum: index to average base=0 35% 32% 33% kWh / person in Hhold / annum: index to average base=0 30% 23% 21% 20% 20% 16% 10% 13% 10% 9% 13% 8% 0% -10% -13% -20% 27
  • 28. Apartments: large households, no air con fair well Factors which lower electricity use by 8% or more of average (Apartments n=410) People in household Aircon Household per dwelling No Aircon 5 or more 4 or more 40% kWh / household / annum: index to average base=0 30% kWh / person in Hhold / annum: index to average base=0 20% -4% 10% 0% 32% -11% -10% -17% -18% -20% -16% -30% 28
  • 29. Apartments: with air con, electric cooking and small households fair badly Factors which increase electricity use by 8% or more of average (Apartments n=410) Number of People in Electric heated Household per Cooking with Region Water source Roof materials rooms Electric usage household water dwelling electric Aircon Cooking with Electric Electric water heater Washing clothes Corrugated iron 6-7 rooms 1 Aircon 3 or less South 2 to 3 Tap 40% 32% 30% 27% 21% 18% 20% 16% 19% 14% 9% 10% 10% 18% 18% 8% 9% 10% 13% 14% 7% 8% 5% 0% -10% kWh / household / annum: index to average base=0 -20% kWh / person in Hhold / annum: index to average base=0 -22% -30% 29
  • 30. What impact do building materials have today? 30
  • 31. Building materials today have limited influence  For row houses the optimal material (amongst existing use) is cement for roof, walls and flooring.  For apartments the optimal materials (amongst existing use) are cement for roof, and brick for walls. 31
  • 32. Row houses: limited influence – cement most efficient Building material impact (Row houses n=961) Dwelling Roof materials Corrugated iron Roof materials Roof materials Wall materials Wall materials Floor finish Floor finish Ceramic tiles Row house Brickwork Cement Cement Cement Tiles 8% 6% 5% kWh / household / annum: index to average base=0 4% 4% kWh / person in Hhold / annum: index to average base=0 2% 2% 1% 1% 1% 0% 0% -1% 0% -2% -2% -1% -1% -2% -4% -6% -6% -6% -8% -8% -10% 32
  • 33. Apartments: cement roof and brick walls fair well Building material impact (Apartments n=410) Dwelling Roof materials Roof materials Wall materials Wall materials Floor finish Corrugated iron Ceramic tiles Apartment Brickwork Cement Cement 12% 10% 10% kWh / household / annum: index to average base=0 8% kWh / person in Hhold / annum: index to average base=0 6% 5% 5% 4% 2% 4% 2% 0% 1% 0% 0% 0% -3% -2% -2% -4% -6% -5% 33
  • 34. Which energy conservation actions and attitudes prevail? 34
  • 35. Growing vegetables and compost actions  Households that are rural, in Renewable actions % (n=1394) the central region and use 0 20 40 60 80 100 well water are more likely to Total 47 40 exhibit renewable Apartment 42 Grow vegetables or herbs at home 35 behaviours in the home. 48 Use food and vegetable waste for Row house composting or animal feed 42 North 48 45  Even 1 in 3 inhabiting Central 66 57 apartments are active. 42 South 34 City 42 34 Rural 76 76 Rent 33 31 Own 51 43 Tap 41 35 Tap & Well 45 39 Well only 68 64 35
  • 36. Recycling waste and rain water harvesting actions  Recycling is common for 4 in Recycling actions % (n=1394) 10 households. 0 20 40 60 80 100 Total 45 22  Households that are rural Apartment 23 47 Separate recyclable waste from non-recyclable waste and use well water are more Row house 21 44 Capture rain water and use it for likely to harvest rain water. North 25 49 cooking, washing, flushing or garden watering Central 42 27  Even 1 in 5 inhabiting South 18 43 apartments harvest rain City 45 18 water. 46 Rural 43 Rent 50 20 Own 44 22 Tap 45 18 Tap & Well 45 20 Well only 41 32 36
  • 37. Strong comprehension of renewable energy benefits  Nearly all are aware of 97% are aware of renewable energies Perceived benefits of renewable energies % (n=1394) renewable energy sources. 0 50 100  Comprehension of Better for the environment 90 environmental impact and potential energy bill savings They will reduce my energy bills 79 is high. They are safer 54 They are better for my family's health 47 They are more reliable 21 They will save me time 17 I don't know 1 37
  • 38. Barriers are design build, cost and knowledge 97% are aware of renewable energies Reasons for not using % (n=1394) 0 20 40 60 My home was not designed for these types of … 44 They are expensive to buy 30 I don't know how 30 These energy sources are not popular in homes 27 I don’t have the time to organise this 23 These energy sources are not convenient 16 I rent my home and can not take action 16 I live in an apartment and con not take action 16 The weather is not right for this type of energy 8 I am not convinced they will save me money 6 I do not trust these energy sources 3 I don't know 2 They are not reliable sources of energy 2 I am not convinced they will help the environment 2 They are not safe sources of energy 2 38
  • 39. So what? 39
  • 40. Household energy efficiency will decline without action 1. The most energy efficient households have shared dwellings and large households. The least efficient have small households and air conditioning. 2. The most energy efficient households which exist today are declining. They are a factor of a low living space per person. 3. The desire to live in urban Vietnam, in single household dwellings, with less generations and hence a shrinking household size, is not a new phenomena. 4. Increasing economic progress will only increase demands for energy sapping durables and devices, straining available energy resources. 5. The building materials used to date have limited influence on household energy efficiency. 6. Consumers have a strong comprehension of renewable energy benefits. However the barriers are design, build, cost and knowledge. 40
  • 41. Design, build, access, incentive and education 1. More energy efficient design to reduce energy resources for cooling particularly. 2. More efficient building design and materials which enable dwellings to absorb, retain, and release, at the appropriate times, radiate heat. 3. Residential access to and business incentives to provide renewable resources in new built homes. 4. Residential access to and incentives to convert to more efficient cooling/heating. Access encompasses availability and affordability (possibly financing). 5. Raising consumer knowledge and demonstrating household costs savings are both critical. 41
  • 42. What next… 1. A nationwide standard method of survey measurement and benchmarking needs to be established. 2. Promote greater transparency and sharing of data, making it more readily available to research institutions, corporate bodies and individuals who are looking to carry out research that support the development aims for Vietnam. 3. Build an educational campaign to promote comprehension of and accessibility to the 1. efficient use of existing energy, 2. conversion to more efficient energy sources and 3. new design and build models. 4. Establish a new public/private sector project, aimed at developing energy efficient housing models, against which future developments can be measured. 42
  • 43. Download your copy at www.cimigo.com cimigo.com The Voice of the Customer 43
  • 45. Professional ‘sustainability’ services Sustainable Futures Asia (SFA) was established in 2011 to provide professional sustainability services throughout the South East Asia region. SFA provide services in three key areas: • Project Consulting – assisting governments and private enterprise in reviewing existing, and developing new economically sustainable business strategies. • Architecture & Urbanism – providing sustainable design solutions, either leading or as part of the client design team, including VGBC Lotus accreditation services. • Knowledge Creation – carrying out research in to sustainability issues, and organising sustainability conferences and other knowledge sharing events. www.sustainablefutures.asia 45
  • 46. Founding members Matt Parkes RIBA Matt is a UK registered architect who has worked in Vietnam since 2004, having previously lived and worked in the UK and Hong Kong. With an MSc in Climate Change and Sustainable Development, Matt is now undertaking PhD research into new models of sustainable housing here in Vietnam. Dr Vu Thi Hong Hanh Hanh is a Vietnamese registered architect who has lived and worked in Vietnam, Australia and the United Kingdom, completing her MSc in Melbourne, Australia and her PhD in Oxford, UK. Hanh teaches at the Ho Chi Minh City University of Architecture. 46
  • 47. Recent clients include Partner organisations Khai Duong Joint Stock Company 47
  • 49. Starting 10 years ago in Vietnam we’ve expanded to... India Hong Kong IndonesiaVietnam ChinaSingapore Philippines We now have the privilege of representing 3 billion customers 49
  • 50. From seven main cities in Vietnam… 50
  • 51. Cimigo’s extensive set of resources and expertise... 5 Call Centres 130 Full-time staff Online Panels 45 Consultants Face-to-face 12 Qualitative Specialists 650 Fieldworkers …put the consumer into the boardroom to deliver consumer-rooted growth 51
  • 52. Cimigo delivers a full range of services to ensure your business remains connected to your consumers 1. Consulting Services Motivational research Market tracking Market scoping and segmentation Product optimisation Concept testing Brand equity New product development Touch point management Brand positioning Customer loyalty 2. Research Services Ethnography Telephone interviewing Accompanied shopping Street intercepts In-depth interviewing Mystery shopping Focus groups On line surveys Vox pops Social media tracking 52
  • 53. Cimigo for Brand Value And for stronger consumer engagement & intelligence. www.facebook.com/CimigoVietnam www.linkedin.com/company/cimigo @cimigovietnam 53
  • 54. Thank You Cimigo Sustainable Futures Asia Richard Burrage Matt Parkes richardburrage@cimigo.com matt.parkes@sustainablefutures.asia www.cimigo.com www.sustainablefutures.asia March 2013