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“Brazilian Utility - Lessons Learned from
Smart Grid Strategy and Business Case”
Speakers:
Ricardo Botelho – CEO, Energisa SA
John Chowdhury – Utility Innovation
About the Speaker: Ricardo Botelho

• Chief Executive Officer and Member of Executive Board at 
  Energisa S.A. since April 2008.  A utility company with $1.4B 
  USD in revenue with five different distribution companies in 
  four states.  He serves as the Vice Chairman of the Board of 
  Directors of Energipe, SAELPA, CELB, Companhia Energetica da 
  Borborema‐CELB and Energisa. 
   – Mr. Botelho served as the Chief Executive Officer of Nova América S.A. 
   – He serves as the Chairman of the Board of Cat‐Leo Cise. 
   – He served as an Engineer at GTE Laboratories, and GTE Communications 
     Products ‐ Tempe, in Arizona (USA). 
   – He served as the Development Team Chief ... of Micron Technology ‐
     Signal Processing Group, Arizona (USA). 
About the Speaker: John Chowdhury
•    Utility Innovation Practice
     25‐year consulting career  working with electric utility 
     and telecom businesses to increase performance (including 
     several years in Brazil and Latin America)
      – Advised US/international energy entities on 
          Smart Grid/AMI/distribution automation; business case 
          development; CRM and telecom/wireless networks
      – Architected first Smart Grid solution at Houston‐based 
          CenterPoint Energy and first Smart Grid city in Brazil 
      – MBA – University of Texas at Dallas; BSBA/MIS – Tulsa University

    Professional Background                                 Memberships
    • Author and Frequent Speaker                           • UTC Smart Networks Board Member
    • Director and Vice President ‐ KEMA/DEKRA              • Advisor to Tulsa University Masters of
    • Energy and Utilities Leader – North America – IBM       Energy Program
       Global Services                                      • GridWise Architecture Council
    • President and CTO – NetKnowledge Technologies         • IEEE‐Power Engineering Society
    • Senior Manager  ‐ Ernst & Young & Price Waterhouse    • Advisor to National Rural Electric
     Utility Consulting                                       Association ‐ TechAdvantage
                                                            • Utility Innovation Council – Board Member
Agenda
Energisa – Company Background


Smart Grid Trends – Around the world


Feasibility of Smart Grid in Brasil – Our findings


Conclusion – What’s Next
Grupo Energisa
107 years old public traded investor owned utility
                                                                                                         2011 Distribution – 5 utilities

                                             2011 Consolidated Financial Highlights                  Total Energy Distributed – 8,708 GWh
                                                                                                    Total Consumers : 2,453,410
                                              Consol. Net Revenue US$ Milion: 1.448,6
                                                                                                     # Substations/capacity (MVA): 141 / 2,573
                                              Consolidated EBITDA US$ Million: 331,3
                                                                                                     HV Lines (69/138kV/230kV) (km): 4,231
                                              Net Income US$ Million : 126,6
                                                                                                     MV and LV distribution lines (22/13.8/11.
                                                                                                    4/ 0.38/0.22kV) (km): 123,355
                                                                                                     Net revenues - US$ Million : 1,366
                                                                                                     Yearly Investment US$ million = 165
                                             Renewable Generation Portfolio
                                             Operating SHP plants/capacity: (4)/ 35 MW                    O&M and Trading Services
                                             Under construction SHP (2013): (1)/8MW                       Largest Independent O&M Service
                                             Developing SHP plants (2017): (3)/50 MW                     Operator of Hydroplants: 130 units

                                             Operating Biomass Cogens plants/capacity:                    Total capacity under contract: 8,704 MW




                                                                                                 O&M
                                             (2)/60 MW                                                     Specialized eletrical contractor services
                                             Developing Biomass Cogens plants/capacity                   for Industrial clients and utilities
                                             (2016): (2)/110MW                                             Construction/Maintenance of Substations
                                             Wind Park under construction (2013): 150MW                  and Transmission lines
Distrib.   PCH’s   Eólicas   Termelétricas                                                                 Net revenues US$ Million –36.4
                                             Developing Wind Park (2017): 90 MW
                                             Expected Total Energy production (operating
                                             and construction)- 2013: 532 GWh/year                         Wholesale Electricity Traded– 78 MW avg




                                                                                               Trading
                                             Total Energy production (developing) 2016-                   45 clients among largest
                                             2017: 361 GWh/year                                           industrial/commercial clients
                                             Total Investment (2012-2017) : US$ 572 million               Net Revenues – US$ Million – 63.4
Energisa Growth History in numbers
                                                                                              Distribution Transformers
                      Total number of Consumers (000)                                      (Qty and Installed Capacity MVA)
                                                                  2.453
                                        2.253        2.338                                                                                     3.181
                                                                                                                                 3.054
                                2.167                                                                               2.930
               2.067                                                        2.643         2.693        2.736
  1.979
                                                                                                                                             145.369
                                                                                                                                140.557
                                                                                                                   134.357
                                         Growth rate 4.4% p.a
                                                                                                     121.344
                                                                                        113.502
                                                                           106.312
                                                                                                                     Growth rate 6.5% p.a


  166           192
                                233     259           279           313

  2006         2007             2008    2009         2010         2011      2006          2007        2.008         2009         2010          2011
              Rural Consumers            Total Number Consumers                          Quantity                  Capacity Installed MV/LV (MVA)



         MV/LV Lines Extension and Consumer/power density                 Total Energy Distributed -Avg Residential Consumption/month
                                                                                                                                                113,3
                                                                                                                                  110,5
  Growth rate: 4.3% p.a
                                                    121,6         123,4                                              104,2
                                        116,1                                                          100,7
                                109,9                                                     98,0
  100,0        105,8                                                        96,8                                                                8.709
                                         57           59            59                                                             8.474
                 55              57                                                                    7.629         7.878
   57                                                                      6.966         7.280
                                                                                                                                Growth Rate: 4.6% p.a


   20            20              20      19           19            20
                                                                                                                                Growth Rate: 7.4% p.a

                                                                           1.931         2.042        2.187         2.353         2.593         2.765


  2006         2007             2008    2009         2010         2011     2006          2007          2008          2009         2010          2011
                                                                                   Residential Consumption (GWh)       Total Energy Distributed (GWh)
              MV/LV lines (km ´000)     MWh/Km        Consumer/Km                  KWh/residential consumer/mo
Energisa Performance Indicators
                                                                                                                                         (*)
        Total Energy Losses Energisa vs Brazil average                                         Energisa Target SAIDI/SAIFI                     vs Actuals

                                          18,3%
                                                         17,8%                                     27,0
                                                                                        27,0                   26,2
   16,7%         17,0%           17,0%                           Brazil Avg                                                       25,4
                                                                                                                                                 23,6
                                                                                        25,3          24,7                                                          22,2
                                                                                                                    23,9
   14,6%         14,5%                                                                                                            22,4
                                 13,4%    13,0%                                                                                                   19,6
                                                         12,5%                   31,0                                      31,7                                     17,2
                                                                       11,2%
      5,3%        5,5%                                                                         24,5          26,3
                                 5,2%         4,8%                                                                                             23,7          22,6
                                                         4,3%          2,8%
                                                                                                      15,6          15,7          16,5
                                                                                        14,0                                                          13,9          13,8
      9,3%        8,9%           8,2%         8,2%       8,2%          8,3%

      2006       2007            2008         2009       2010          2011       2006            2007        2008          2009                2010          2011
                       Line Losses              Commercial Losses                         SAIDI (hours)        SAIFI (#)           Target SAIDI               Target SAIFI



       Consumer/Workforce employed vs Comparable IOUs                                               ABRADEE Customer Satisfaction Survey




  Average 340                                                                                                                     79,9
                                                                                                      76,8       77,4                                 77,3          76,7
                                                                                        76,8

                                                                 478     494
                                                 422     431
                         338       338   371
                 333
 266     284




  A          B    C          D       E    F          G    H         I ENERGISA    2006            2007         2008          2009                 2010           2011
                 Companies               Peer Group Avg (2010)                           EPB          EBO      ESE         EMG           ENF            Brazil Average
Agenda
Energisa – Company Background


Smart Grid Trends – Around the world


Feasibility of Smart Grid in Brasil – Our findings


Conclusion – What’s Next
Smart Grid – Around The world
                     South Korea                                Europe and UK
         •    Developing Intellectual property          •   Vision 20-20-20
         •    Reducing usage by 10 percent              •   Smart grid efforts are a specific part of
         •    Lowering the average annual blackout          a low carbon agenda
              minutes per household from 15 minutes     •   Sweden is the first country in the world
              to nine                                       to hit 100-percent penetration for smart
         •    Reduce line loss to 3 percent.                meters
         •    Capture 30 % of renewables
         •    Create 50,000 annual jobs
         •
         •
              US$43 billion in avoided energy imports
              $3 billion in avoided power generation
                                                                         China
              costs.                                                 •   Ecological rationale is not a factor
                                                                     •   Energy Efficiency

             Australia                                               •
                                                                     •
                                                                         Develop Distributed Generation
                                                                         Deploy 280 million smart meters by
•   Energy Efficiency                                                    2016.
                                                                         Major generators and substations to be
•
•
    Operational Efficiencies
    Improve Reliability
                                    USA                              •
                                                                         equipped with smart sensors
•   Renewable Integration      •   Energy Efficiency
                               •   Operational Efficiencies
                               •   Improve Reliability
                               •   Improve Customer Service
                               •   Renewable Integration
Smart Grid –Investment by Government in
2010

China is the
leader in both
categories, with
$7.3 billion total
investment, or
$1,400 per $US
million of GDP. As
China builds out
its modern grid to
accommodate
extraordinarily
rapid growth
US Smart Grid Progress - Govt. Stimulus and
Using Cost recovery methods
Cost Recovery fall into one of the
following categories regardless of state                                              Case Study            Trend                  Observations
jurisdiction:                                                                                            Most    Least
                                                                                PGE      Duke   Con Ed   Often   Often               Comments
                                                                                                         Used    Used
Trackers: A mechanism that follows or “tracks”
                                                                                                                         Good means for focused recovery
unpredictable costs that the utility incurs. Typically,
                                                                                                                          in lieu of full rate case process;
trackers are determined at the end of the year and         Trackers                                                       saves time; limits utility exposure
then recovered over a 12-month period.                                                                                          with large unknowns



                                                           Balancing Accounts                                            Links these programs to normal
                                                           /Rate Base                                                        rate case filing process
Balancing Accounts/Rate Base: A balancing account is
an accounting procedure developed by a utility
commission to track and recover reasonable and                                                                           Marginal Cost approach; Texas,
                                                           Customer
prudent costs unrecovered through retail bills due to      Surcharge                                                       Michigan, e.g. suggested
the application of applicable rate freezes or ceilings.                                                                            approach


                                                                                                                          Can be a Long Process would
Customer Surcharge: A mechanism that has no
                                                           State Funding                                                     require legislative action
standard statutory definition, but typically is a charge
defined by the governing utility commission and
imposed on customers to recover utility expenses.




State Funding: It varies state-by-state, but this
approach includes funding for projects provided
from existing or newly created state accounts.
Agenda
Energisa – Company Background


Smart Grid Trends – Around the world


Feasibility of Smart Grid in Brasil – Our findings


Conclusion – What’s Next
Sustentability Trilemma for the investor owned utility
business in Brazil: Social Economic Sustentability

                                                                              ENERGISA Retail Electricity Rates - 2011 (1US$ = 1,67 R$ )
                                                                                          Segments                   US$c/KWh        R$c/KWh
                                                                              Residential                                                                                     29,80                             49,91
                                                                              Low Income residential (subsidized)                                                             14,98                             25,09
                                                                              Industrial                                                                                    19,96                               33,44
                                                                              Commercial                                                                                    27,41                               45,91
                                                                              Rural                                                                                         14,66                               24,55
                                                                              Other segments                                                                                18,44                               30,89
                                                                              Total                                                                                         22,70                               38,02

                                                                              Year: 2011                                                                         Residencial                    Baixa Renda
                                                                              Average Residential Monthly Bill (US$)                                                    46,32                           11,08
                                                                              Avg. Yearly Resid. Consumption (KWh)                                                      1.359                             889


Resource allocation of Brazilian utility bill (2011)                                    Average Residential Electricity Rate (US$c/KWh, 2010)
                                                       35,6
                                                                                                                                                                       Taxes and other Rate Charges                      Total Rate
                                                                   31,9
              Distribution
                               Taxes and
                                                                              26,1 25,7
                 24%
                                                                                                  25,1 23,0
                                several                                                                              22,9 22,5
                                 Tariff                                                                                                21,5 21,5
                                Charges                                                                                                                    18,8 18,0 18,0
                                                                                                                                                                                     17,8
                Generation        45%                                                                                                                                                           11,6
                 and Grid                                                                                                                                                                              8,9
                                                       19,8                                                                                                                                                      7,2
                  Costs                                                                                                                                                                                                  5,1 5,0
                                                                   13
                                                                               8,7 7,8 7,1 8,5 7,1 5,8 5,5
                   31%
                                                                                                           4,5 4,3 3,7 3,9 2,7                                                                   2
                                                                    Germany




                                                                                                   Sweden




                                                                                                                                                                                                                          Argentina
                                                        Danemark




                                                                                                                                                                                                                 China
                                                                                                                                        Portugal




                                                                                                                                                                            Turkey




                                                                                                                                                                                                       Russia




                                                                                                                                                                                                                                      India
                                                                                                                                                                   Poland
                                                                                                            Brazil
                                                                               Norway




                                                                                                                                                                                      Finland
                                                                                                                              Holand




                                                                                                                                                   Spain


                                                                                                                                                            UK
                                                                                          Italy




                                                                                                                      Chile




                                                                                                                                                                                                 USA
Sustentability Trilemma for the investor
owned utility business in Brazil: Investment
Sustentability
                                                                                  • High growth markets needs to
                                                                                  be bankable - i.e generate
            Energisa Distribution Utilities ROCE and EBIT margins
                                                                                  sufficient margins to meet
                          ROCE (%)          EBIT margin (%)                       growing investment needs;
    21.7
                                                                                  • Pressure from regulator to
                                                                                  lower rates to consumers by
                                                                                  reducing the utility operators
                                                                                  distribution margins are not
                                                                                  sustainable in a long term;
                                                                           14.8
   14.1                                                                           • Regulator wants more reliability
                                                                           12.6
                                                                                  but doesn´t provided adequate
                                                                                  economic signals;

                                                                                  • Utilities are compelled to
   2007    2008    2009       2010   2011     2012       2013     2014    2015    increase efficiency and asset
                                                                                  utilization with better service
   1st            2nd Rate Case Cycle                    3rd Rate Case Cycle
                                                                                  delivered in order to sustain
                                                                                  profitability.
Sustentability Trilemma for the investor owned utility business
in Brazil: Environmentally Sustentable

                                                        Projected Installed Capacity by energy source (MW)
                                                                PDE-2011 (2010-2020) - source:EPE
• Brazil has one of the cleanest
energy supply matrix in the
World – 82% renewable non-                                                                                                       25.461


nuclear                                                                                                                           3.412

                                                                                                                                 27.142

• Challenge is to introduce
reliable renewable sources cost       15.499                                                                                    115.123

effectively for the long term         2.007
                                      9.133
(SHP, biomass, wind and solar)
                                      82.939



                                   2010   2011          2012   2013     2014       2015   2016      2017      2018        2019       2020

                                               Hydros           Other Renewables          Nuclear          Fossil Fuel Plants
Smart Utility - Energisa
Timeline
                                           Substitution                                   Substitution
                                           of SCADA                                         of GIS


                                                                              Pilot Case:
                         Roadmap                                                                                      Review
                                                                                 Smart
                          Utility                                                                                   Smart Grid
                                                                              Substation
                        Management                                                                                   Business
                         Systems                                                                                       Case
          Roadmap
         Smart Grid                                                                        Pilot Case:
          Business                                                                             Self
                                                      Expansion
           Case                                                                             Healing
                                                      Automated
                          Workforce                   Reclosures
     AMI
    Largest               Automation                                                                            Pilot Case:
    Clients               SIGOD / LIS                                                                            Current
                                                                                                                   Fault
                                                                                                                Indicators
 AMR
 Pilot



         2008                2009                            2010                          2011                      2012
                       Investments (USD Million)   2008      2009      2010      2011     2012      TOTAL
                      Distribution Investments     174,20    246,98    229,01    147,6    183,8       981,52 
                      Smart Utility Investment       2,13      2,37      2,19     2,92     10,61       20,22 
                      Percentage                      1,2%      1,0%      1,0%     2,0%     5,8%        2,1%
Pathways to Smart Utility - Energisa
Our motivations and needs for a Smart Grid deployment and towards a Smart
Utility are different than in USA and Europe;


                           USA/Europe: aging infrastructure, promote energy
                          efficiency and lower CO2 footprint, tech & innovative
                          industry drive
                           Brasil : opt-in meter replacement (REN-502/12),
                          continuous pressure to improve reliability and efficiency
                          and reduce commercial losses within a declining share
                          of the rates.


Our hurdles:
 High deployment costs and not perceivable positive NPV yet
 Low consumption per capita base
 Cost recovery mechanism that doesn´t burden consumers or investors and
deliveries benefits in short term
 No Time of Use rates for LV retail customers still not effective
 Lack of local manufacturing base or trained personnel
 Reliable telecom network for wireless data not available in rural and smaller t
Pathways to Smart Utility - Energisa
AMI – Project Cost (full deployment at Energisa ) – from 2009 Business Case:

                     INVESTMENTS (%)
                                                                         Results
           10.0%      3.0%


                                                 Meters
28.0%
                                                 Shielding
                                                                    Investment :
                                  57.0%
                                                 Implementation        623 Feeders
                                                 TI/Telecom
                                                                       2,4 Millions
                                          -83%
                                                                         Meters
AMI – Main Benefits evaluated:                                         U$ 565 Million

                          BENEFITS (%)                              Negative NPV in:
                   9.2%
        7.7%                                                          (U$ 467 Million)

22.5%
                                            Non Technical Losses
                                                                    Negative IRR in:
                                            Reactive Energy
                                            AMR+remote C&D            (8,51%)
                                  60.6%
                                            Others
Pathways to Smart Utility - Energisa

Reduction of Commercial Losses – sometimes the
solution is simpler than we think!

    Commercial Losses higher than US$ 180/residential
   customer/ year in higher concentrated commercial loss
   feeders  utilize simplified smart meter (AMI)

   Commercial losses lower than US$ 180/residential
   customers/year in dispersed areas  utilize low cost
   alternatives of electronic meters with shielded cables and
   meter borne – Energisa patented : DLCB                       Energisa
                                                                Chastity Belt
                                                                (DLCB )
Pathways to Smart Utility - Energisa
Distribution Automation

 Projects with NPV positive based on our 2009 business case:
    More stringent quality requirements and cost constraints
    Focus is to reduce penalties and improve reliability with add on Opex
 Several Pilots currently being tested
    Smart Substation
    Current Fault Indicators
    Self Healing

 Our Roadmap of Smart Utility also points to PoC in several other areas:
   DMS/OMS
   Fault Detection isolation and restoration (FDIR)
   Volt-VAR optimization
    Treatment of large amount of Data
    Power Quality Management
Pathways to Smart Utility - Energisa
Distributed Generation:

 Very low penetration of Distributed Generation

 In April 2012 federal regulator released rule REN 482/2012 introducing net
metering scheme for DG and provided for the first time mechanism to introduce
micro-mini generation (<1 MW) with net-metering. Surplus produced beyond
consumption can be credited and used in 36 months.
 Parity to grid in some locations but economics are not favorable for mass
deployment without subsidies.

 With TOU and other liberalized movements on energy trading, DG could be
potential disruptive business model for traditional utilities
Impact of Smart Grid in the Operating
Environment
                                                                         AMI Infrastructure




                                                                                                                                                                      Integration Services
                                         Smart Home Infrastructure                                SMART Grid Infrastructure
                                                                         (Smart Meter, Data
                                         (Smart Thermostat, Load                                  (Sensors, Grid Control        Infrastructure
                                                                         Concentrators, AMI




                                                                                                                                                 Transformation
                                         Control Devices, Gateways.)                              Devices, Grid head end)




                                                                                                                                                                                                   Other Services
                                                                         head end)




                                                                                                                                                 Services
                                                                                                   Wide Area Network (WAN)
                                                                         Local Area Network                                         Network
                                          Home Area Network (HAN)                                 (Wireless, Fiber &
                                                                         (LAN)                                                Communications
                                                                                                  Substation)




                                                                                                                                                                                             Development &
                                            Meter Data Management       Demand Response               Customer Relationship




                                                                                                                                                                      Data Service
                                                                                                                                                 Management




                                                                                                                                                                                             Maintenance
                                                                        Management                    Management




                                                                                                                                                                                             Application
                                                                                                                                   Customer




                                                                                                                                                 Cut-over
                                                                                                                                     Service
                                          Customer Portal               Credit and Revenue            Metering and Billing
                                          Management                    Protection                    Service Management
Security, Standards & Interoperability




                                                                                                                                                 Business Change
                                                                                                                                                 Management
                                                                                                                                 Distribution
                                          SCADA                         Distribution Management       Outage Management




                                                                                                                                                                   Intelligence



                                                                                                                                                                                             (Roadmap,
                                                                                                                                                                                             Consulting
                                                                                                                                Management




                                                                                                                                                                   Business




                                                                                                                                                                                             Strategy)
                                                                                                                                    Telecom
                                                                Network Solutions    Network
                                          Network Planning                                                Work Management         Planning &
                                                                & Planning           Management
                                                                                                                                  Operations




                                                                                                                                                                                               IS Infrastructure
                                                                                                                                                                                                Management
                                                                                                                                                 Management



                                                                                                                                                                   Integration
                                          Data Center                                                                                  Data




                                                                                                                                                                   Systems
                                                                                                                                                 Project
                                          Communications /             Cloud Management           Storage Management                  Center
                                          Failover                                                                               Management
Smart Grid Requires Resilient
 Communications Systems - CTO’s Approach
    One multi-purpose Communications network to avoid the implementation of multiple single-purpose
     networks
    A Communications network that can grow as functional requirements change and technology evolve
    Incorporating commercially available, non-proprietary solutions allowing for future-proofing against today’s
     investments cycles and technology obsolescence timeliness
    Leverage industry standards thereby lowering the overall cost to implement and support
    Create capacity and infrastructure for secure and fault tolerant requirements



                                                            Smart Grid            • Comprehensive Coverage
                                                            Automation            • Multi-protocol
                                                             Network              • Scalable and Future Proof

• Low Latency Network
• QoS at the core layer            Control &       Utility
• Secure and                       Protection     Network
  Fault Tolerant                    Network      Innovation
                                                                                        • Resilient Data Center
                                                Utility Operations Network                Network
                                                        - Data Center                   • QoS at the core layer
                                                 - Voice, Video and Data                • Secure and
                                                                                          Fault Tolerant

    * DUKE Energy CTO Speech, 2010‐2011 
Telecom Alternatives Considered
    Wireless Option                            Application                               Pro                                      Con
RF Mesh: Bit rate up to 1 Mbps,        Smart meters, distribution         Able to be customized for specific    Proprietary, lack economies of 
variable range, variable frequency     automation                         deployments, self‐organizing, self‐   scale, equipment can be expensive
                                                                          healing

GPRS: Bit rate at 20‐200 kbps,         Smart meters (AMI), mobile work    Able to leverage existing networks,  Recurring cost per megabyte, lack 
frequency 700 MHz to 2.1 GHz           force management                   low upfront capital investment,       of direct utility control over 
                                                                          short time‐to‐market, low module      network
                                                                          cost

PLC and Broadband Over Power           Substations, smart meters,         Robust capabilities, integrated       High capital costs, expensive chips 
Lines (BPL): Bit rate at 48 kbps to    monitoring/ control at customer    communications throughout grid        and equipment, not widely 
10 Mbps, variable range, frequency  premise, distribution automation      and home area network                 adopted
at 1.6 to 80 MHz electric carrier                                         environments, low recurring costs


WiMAX: Bit rate up to 3 Mbps,          Smart meters, mobile work force    Robust capabilities, integrated       High equipment cost and initial 
range of 10‐15 miles, frequency        management, distribution           communications throughout grid.       build out cost.
700 MHz to 2.3‐3.5 GHz                 automation                         High bandwidth capabilities, low 
                                                                          latency

VSAT: Bit rate  14 Kbps‐1Mbps,         Smart meters, mobile work force    Low‐cost equipment, ubiquitous,       High latency for DA and limited 
                                       management, distribution           low latency                           growth potential
                                       automation



                                                                                                                                                  24
Agenda
Energisa – Company Background


Smart Grid Trends – Around the world


Feasibility of Smart Grid in Brasil – Our findings


Conclusion – What’s Next
What’s Next- Energisa
Projects to be initiated in 2013 - 2015:
                          1.   Conclude upgrading Utility Management Systems as prescribed in
                               our RoadMap
                                Power Quality management
                                Digitalization: Protection and Automation
                                OMS / DMS
                                 Modelling Dispatch


                          2 . Study on handling massive amount of data – BIG DATA
                                 analytics
                                 handling, storage and integrity
      Our View of the
          Future
                         3.    DG pilot case – handling distributed resources and
                               otimizing dispach of DG solar power



                          4 . Evaluate low cost SG meters – REN-502/12 complaint
Thank you!
     Ricardo Botelho
rbotelho@energisa.com.br
     55-21-2122-6904

    John Chowdhury
Chowdhury.john@gmail.com
     +1 214-213-6226

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Feasibility of AMI and Smart Grid in Brazil - Lessons Learned - botelho chowdhury- final

  • 1. “Brazilian Utility - Lessons Learned from Smart Grid Strategy and Business Case” Speakers: Ricardo Botelho – CEO, Energisa SA John Chowdhury – Utility Innovation
  • 2. About the Speaker: Ricardo Botelho • Chief Executive Officer and Member of Executive Board at  Energisa S.A. since April 2008.  A utility company with $1.4B  USD in revenue with five different distribution companies in  four states.  He serves as the Vice Chairman of the Board of  Directors of Energipe, SAELPA, CELB, Companhia Energetica da  Borborema‐CELB and Energisa.  – Mr. Botelho served as the Chief Executive Officer of Nova América S.A.  – He serves as the Chairman of the Board of Cat‐Leo Cise.  – He served as an Engineer at GTE Laboratories, and GTE Communications  Products ‐ Tempe, in Arizona (USA).  – He served as the Development Team Chief ... of Micron Technology ‐ Signal Processing Group, Arizona (USA). 
  • 3. About the Speaker: John Chowdhury • Utility Innovation Practice 25‐year consulting career  working with electric utility  and telecom businesses to increase performance (including  several years in Brazil and Latin America) – Advised US/international energy entities on  Smart Grid/AMI/distribution automation; business case  development; CRM and telecom/wireless networks – Architected first Smart Grid solution at Houston‐based  CenterPoint Energy and first Smart Grid city in Brazil  – MBA – University of Texas at Dallas; BSBA/MIS – Tulsa University Professional Background  Memberships • Author and Frequent Speaker   • UTC Smart Networks Board Member • Director and Vice President ‐ KEMA/DEKRA • Advisor to Tulsa University Masters of • Energy and Utilities Leader – North America – IBM Energy Program Global Services    • GridWise Architecture Council • President and CTO – NetKnowledge Technologies • IEEE‐Power Engineering Society • Senior Manager  ‐ Ernst & Young & Price Waterhouse • Advisor to National Rural Electric Utility Consulting Association ‐ TechAdvantage • Utility Innovation Council – Board Member
  • 4. Agenda Energisa – Company Background Smart Grid Trends – Around the world Feasibility of Smart Grid in Brasil – Our findings Conclusion – What’s Next
  • 5. Grupo Energisa 107 years old public traded investor owned utility 2011 Distribution – 5 utilities 2011 Consolidated Financial Highlights  Total Energy Distributed – 8,708 GWh Total Consumers : 2,453,410  Consol. Net Revenue US$ Milion: 1.448,6  # Substations/capacity (MVA): 141 / 2,573  Consolidated EBITDA US$ Million: 331,3  HV Lines (69/138kV/230kV) (km): 4,231  Net Income US$ Million : 126,6  MV and LV distribution lines (22/13.8/11. 4/ 0.38/0.22kV) (km): 123,355  Net revenues - US$ Million : 1,366  Yearly Investment US$ million = 165 Renewable Generation Portfolio Operating SHP plants/capacity: (4)/ 35 MW O&M and Trading Services Under construction SHP (2013): (1)/8MW  Largest Independent O&M Service Developing SHP plants (2017): (3)/50 MW Operator of Hydroplants: 130 units Operating Biomass Cogens plants/capacity:  Total capacity under contract: 8,704 MW O&M (2)/60 MW  Specialized eletrical contractor services Developing Biomass Cogens plants/capacity for Industrial clients and utilities (2016): (2)/110MW  Construction/Maintenance of Substations Wind Park under construction (2013): 150MW and Transmission lines Distrib. PCH’s Eólicas Termelétricas  Net revenues US$ Million –36.4 Developing Wind Park (2017): 90 MW Expected Total Energy production (operating and construction)- 2013: 532 GWh/year  Wholesale Electricity Traded– 78 MW avg Trading Total Energy production (developing) 2016-  45 clients among largest 2017: 361 GWh/year industrial/commercial clients Total Investment (2012-2017) : US$ 572 million  Net Revenues – US$ Million – 63.4
  • 6. Energisa Growth History in numbers Distribution Transformers Total number of Consumers (000) (Qty and Installed Capacity MVA) 2.453 2.253 2.338 3.181 3.054 2.167 2.930 2.067 2.643 2.693 2.736 1.979 145.369 140.557 134.357 Growth rate 4.4% p.a 121.344 113.502 106.312 Growth rate 6.5% p.a 166 192 233 259 279 313 2006 2007 2008 2009 2010 2011 2006 2007 2.008 2009 2010 2011 Rural Consumers Total Number Consumers Quantity Capacity Installed MV/LV (MVA) MV/LV Lines Extension and Consumer/power density Total Energy Distributed -Avg Residential Consumption/month 113,3 110,5 Growth rate: 4.3% p.a 121,6 123,4 104,2 116,1 100,7 109,9 98,0 100,0 105,8 96,8 8.709 57 59 59 8.474 55 57 7.629 7.878 57 6.966 7.280 Growth Rate: 4.6% p.a 20 20 20 19 19 20 Growth Rate: 7.4% p.a 1.931 2.042 2.187 2.353 2.593 2.765 2006 2007 2008 2009 2010 2011 2006 2007 2008 2009 2010 2011 Residential Consumption (GWh) Total Energy Distributed (GWh) MV/LV lines (km ´000) MWh/Km Consumer/Km KWh/residential consumer/mo
  • 7. Energisa Performance Indicators (*) Total Energy Losses Energisa vs Brazil average Energisa Target SAIDI/SAIFI vs Actuals 18,3% 17,8% 27,0 27,0 26,2 16,7% 17,0% 17,0% Brazil Avg 25,4 23,6 25,3 24,7 22,2 23,9 14,6% 14,5% 22,4 13,4% 13,0% 19,6 12,5% 31,0 31,7 17,2 11,2% 5,3% 5,5% 24,5 26,3 5,2% 4,8% 23,7 22,6 4,3% 2,8% 15,6 15,7 16,5 14,0 13,9 13,8 9,3% 8,9% 8,2% 8,2% 8,2% 8,3% 2006 2007 2008 2009 2010 2011 2006 2007 2008 2009 2010 2011 Line Losses Commercial Losses SAIDI (hours) SAIFI (#) Target SAIDI Target SAIFI Consumer/Workforce employed vs Comparable IOUs ABRADEE Customer Satisfaction Survey Average 340 79,9 76,8 77,4 77,3 76,7 76,8 478 494 422 431 338 338 371 333 266 284 A B C D E F G H I ENERGISA 2006 2007 2008 2009 2010 2011 Companies Peer Group Avg (2010) EPB EBO ESE EMG ENF Brazil Average
  • 8. Agenda Energisa – Company Background Smart Grid Trends – Around the world Feasibility of Smart Grid in Brasil – Our findings Conclusion – What’s Next
  • 9. Smart Grid – Around The world South Korea Europe and UK • Developing Intellectual property • Vision 20-20-20 • Reducing usage by 10 percent • Smart grid efforts are a specific part of • Lowering the average annual blackout a low carbon agenda minutes per household from 15 minutes • Sweden is the first country in the world to nine to hit 100-percent penetration for smart • Reduce line loss to 3 percent. meters • Capture 30 % of renewables • Create 50,000 annual jobs • • US$43 billion in avoided energy imports $3 billion in avoided power generation China costs. • Ecological rationale is not a factor • Energy Efficiency Australia • • Develop Distributed Generation Deploy 280 million smart meters by • Energy Efficiency 2016. Major generators and substations to be • • Operational Efficiencies Improve Reliability USA • equipped with smart sensors • Renewable Integration • Energy Efficiency • Operational Efficiencies • Improve Reliability • Improve Customer Service • Renewable Integration
  • 10. Smart Grid –Investment by Government in 2010 China is the leader in both categories, with $7.3 billion total investment, or $1,400 per $US million of GDP. As China builds out its modern grid to accommodate extraordinarily rapid growth
  • 11. US Smart Grid Progress - Govt. Stimulus and Using Cost recovery methods Cost Recovery fall into one of the following categories regardless of state Case Study Trend Observations jurisdiction: Most Least PGE Duke Con Ed Often Often Comments Used Used Trackers: A mechanism that follows or “tracks” Good means for focused recovery unpredictable costs that the utility incurs. Typically, in lieu of full rate case process; trackers are determined at the end of the year and Trackers saves time; limits utility exposure then recovered over a 12-month period. with large unknowns Balancing Accounts Links these programs to normal /Rate Base rate case filing process Balancing Accounts/Rate Base: A balancing account is an accounting procedure developed by a utility commission to track and recover reasonable and Marginal Cost approach; Texas, Customer prudent costs unrecovered through retail bills due to Surcharge Michigan, e.g. suggested the application of applicable rate freezes or ceilings. approach Can be a Long Process would Customer Surcharge: A mechanism that has no State Funding require legislative action standard statutory definition, but typically is a charge defined by the governing utility commission and imposed on customers to recover utility expenses. State Funding: It varies state-by-state, but this approach includes funding for projects provided from existing or newly created state accounts.
  • 12. Agenda Energisa – Company Background Smart Grid Trends – Around the world Feasibility of Smart Grid in Brasil – Our findings Conclusion – What’s Next
  • 13. Sustentability Trilemma for the investor owned utility business in Brazil: Social Economic Sustentability ENERGISA Retail Electricity Rates - 2011 (1US$ = 1,67 R$ ) Segments US$c/KWh R$c/KWh Residential 29,80 49,91 Low Income residential (subsidized) 14,98 25,09 Industrial 19,96 33,44 Commercial 27,41 45,91 Rural 14,66 24,55 Other segments 18,44 30,89 Total 22,70 38,02 Year: 2011 Residencial Baixa Renda Average Residential Monthly Bill (US$) 46,32 11,08 Avg. Yearly Resid. Consumption (KWh) 1.359 889 Resource allocation of Brazilian utility bill (2011) Average Residential Electricity Rate (US$c/KWh, 2010) 35,6 Taxes and other Rate Charges Total Rate 31,9 Distribution Taxes and 26,1 25,7 24% 25,1 23,0 several 22,9 22,5 Tariff 21,5 21,5 Charges 18,8 18,0 18,0 17,8 Generation 45% 11,6 and Grid 8,9 19,8 7,2 Costs 5,1 5,0 13 8,7 7,8 7,1 8,5 7,1 5,8 5,5 31% 4,5 4,3 3,7 3,9 2,7 2 Germany Sweden Argentina Danemark China Portugal Turkey Russia India Poland Brazil Norway Finland Holand Spain UK Italy Chile USA
  • 14. Sustentability Trilemma for the investor owned utility business in Brazil: Investment Sustentability • High growth markets needs to be bankable - i.e generate Energisa Distribution Utilities ROCE and EBIT margins sufficient margins to meet ROCE (%) EBIT margin (%) growing investment needs; 21.7 • Pressure from regulator to lower rates to consumers by reducing the utility operators distribution margins are not sustainable in a long term; 14.8 14.1 • Regulator wants more reliability 12.6 but doesn´t provided adequate economic signals; • Utilities are compelled to 2007 2008 2009 2010 2011 2012 2013 2014 2015 increase efficiency and asset utilization with better service 1st 2nd Rate Case Cycle 3rd Rate Case Cycle delivered in order to sustain profitability.
  • 15. Sustentability Trilemma for the investor owned utility business in Brazil: Environmentally Sustentable Projected Installed Capacity by energy source (MW) PDE-2011 (2010-2020) - source:EPE • Brazil has one of the cleanest energy supply matrix in the World – 82% renewable non- 25.461 nuclear 3.412 27.142 • Challenge is to introduce reliable renewable sources cost 15.499 115.123 effectively for the long term 2.007 9.133 (SHP, biomass, wind and solar) 82.939 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Hydros Other Renewables Nuclear Fossil Fuel Plants
  • 16. Smart Utility - Energisa Timeline Substitution Substitution of SCADA of GIS Pilot Case: Roadmap Review Smart Utility Smart Grid Substation Management Business Systems Case Roadmap Smart Grid Pilot Case: Business Self Expansion Case Healing Automated Workforce Reclosures AMI Largest Automation Pilot Case: Clients SIGOD / LIS Current Fault Indicators AMR Pilot 2008 2009 2010 2011 2012 Investments (USD Million) 2008 2009 2010 2011 2012 TOTAL Distribution Investments 174,20  246,98  229,01  147,6 183,8 981,52  Smart Utility Investment 2,13  2,37  2,19  2,92  10,61  20,22  Percentage 1,2% 1,0% 1,0% 2,0% 5,8% 2,1%
  • 17. Pathways to Smart Utility - Energisa Our motivations and needs for a Smart Grid deployment and towards a Smart Utility are different than in USA and Europe;  USA/Europe: aging infrastructure, promote energy efficiency and lower CO2 footprint, tech & innovative industry drive  Brasil : opt-in meter replacement (REN-502/12), continuous pressure to improve reliability and efficiency and reduce commercial losses within a declining share of the rates. Our hurdles:  High deployment costs and not perceivable positive NPV yet  Low consumption per capita base  Cost recovery mechanism that doesn´t burden consumers or investors and deliveries benefits in short term  No Time of Use rates for LV retail customers still not effective  Lack of local manufacturing base or trained personnel  Reliable telecom network for wireless data not available in rural and smaller t
  • 18. Pathways to Smart Utility - Energisa AMI – Project Cost (full deployment at Energisa ) – from 2009 Business Case: INVESTMENTS (%) Results 10.0% 3.0% Meters 28.0% Shielding  Investment : 57.0% Implementation  623 Feeders TI/Telecom  2,4 Millions -83% Meters AMI – Main Benefits evaluated:  U$ 565 Million BENEFITS (%)  Negative NPV in: 9.2% 7.7% (U$ 467 Million) 22.5% Non Technical Losses  Negative IRR in: Reactive Energy AMR+remote C&D (8,51%) 60.6% Others
  • 19. Pathways to Smart Utility - Energisa Reduction of Commercial Losses – sometimes the solution is simpler than we think!  Commercial Losses higher than US$ 180/residential customer/ year in higher concentrated commercial loss feeders  utilize simplified smart meter (AMI) Commercial losses lower than US$ 180/residential customers/year in dispersed areas  utilize low cost alternatives of electronic meters with shielded cables and meter borne – Energisa patented : DLCB Energisa Chastity Belt (DLCB )
  • 20. Pathways to Smart Utility - Energisa Distribution Automation  Projects with NPV positive based on our 2009 business case:  More stringent quality requirements and cost constraints  Focus is to reduce penalties and improve reliability with add on Opex  Several Pilots currently being tested  Smart Substation  Current Fault Indicators  Self Healing  Our Roadmap of Smart Utility also points to PoC in several other areas: DMS/OMS Fault Detection isolation and restoration (FDIR) Volt-VAR optimization  Treatment of large amount of Data  Power Quality Management
  • 21. Pathways to Smart Utility - Energisa Distributed Generation:  Very low penetration of Distributed Generation  In April 2012 federal regulator released rule REN 482/2012 introducing net metering scheme for DG and provided for the first time mechanism to introduce micro-mini generation (<1 MW) with net-metering. Surplus produced beyond consumption can be credited and used in 36 months.  Parity to grid in some locations but economics are not favorable for mass deployment without subsidies.  With TOU and other liberalized movements on energy trading, DG could be potential disruptive business model for traditional utilities
  • 22. Impact of Smart Grid in the Operating Environment AMI Infrastructure Integration Services Smart Home Infrastructure SMART Grid Infrastructure (Smart Meter, Data (Smart Thermostat, Load (Sensors, Grid Control Infrastructure Concentrators, AMI Transformation Control Devices, Gateways.) Devices, Grid head end) Other Services head end) Services Wide Area Network (WAN) Local Area Network Network Home Area Network (HAN) (Wireless, Fiber & (LAN) Communications Substation) Development & Meter Data Management Demand Response Customer Relationship Data Service Management Maintenance Management Management Application Customer Cut-over Service Customer Portal Credit and Revenue Metering and Billing Management Protection Service Management Security, Standards & Interoperability Business Change Management Distribution SCADA Distribution Management Outage Management Intelligence (Roadmap, Consulting Management Business Strategy) Telecom Network Solutions Network Network Planning Work Management Planning & & Planning Management Operations IS Infrastructure Management Management Integration Data Center Data Systems Project Communications / Cloud Management Storage Management Center Failover Management
  • 23. Smart Grid Requires Resilient Communications Systems - CTO’s Approach  One multi-purpose Communications network to avoid the implementation of multiple single-purpose networks  A Communications network that can grow as functional requirements change and technology evolve  Incorporating commercially available, non-proprietary solutions allowing for future-proofing against today’s investments cycles and technology obsolescence timeliness  Leverage industry standards thereby lowering the overall cost to implement and support  Create capacity and infrastructure for secure and fault tolerant requirements Smart Grid • Comprehensive Coverage Automation • Multi-protocol Network • Scalable and Future Proof • Low Latency Network • QoS at the core layer Control & Utility • Secure and Protection Network Fault Tolerant Network Innovation • Resilient Data Center Utility Operations Network Network - Data Center • QoS at the core layer - Voice, Video and Data • Secure and Fault Tolerant * DUKE Energy CTO Speech, 2010‐2011 
  • 24. Telecom Alternatives Considered Wireless Option Application Pro Con RF Mesh: Bit rate up to 1 Mbps,  Smart meters, distribution  Able to be customized for specific  Proprietary, lack economies of  variable range, variable frequency automation deployments, self‐organizing, self‐ scale, equipment can be expensive healing GPRS: Bit rate at 20‐200 kbps,  Smart meters (AMI), mobile work  Able to leverage existing networks,  Recurring cost per megabyte, lack  frequency 700 MHz to 2.1 GHz force management low upfront capital investment,  of direct utility control over  short time‐to‐market, low module  network cost PLC and Broadband Over Power  Substations, smart meters,  Robust capabilities, integrated  High capital costs, expensive chips  Lines (BPL): Bit rate at 48 kbps to  monitoring/ control at customer  communications throughout grid  and equipment, not widely  10 Mbps, variable range, frequency  premise, distribution automation and home area network  adopted at 1.6 to 80 MHz electric carrier environments, low recurring costs WiMAX: Bit rate up to 3 Mbps,  Smart meters, mobile work force  Robust capabilities, integrated  High equipment cost and initial  range of 10‐15 miles, frequency  management, distribution  communications throughout grid.  build out cost. 700 MHz to 2.3‐3.5 GHz automation High bandwidth capabilities, low  latency VSAT: Bit rate  14 Kbps‐1Mbps,  Smart meters, mobile work force  Low‐cost equipment, ubiquitous,  High latency for DA and limited  management, distribution  low latency growth potential automation 24
  • 25. Agenda Energisa – Company Background Smart Grid Trends – Around the world Feasibility of Smart Grid in Brasil – Our findings Conclusion – What’s Next
  • 26. What’s Next- Energisa Projects to be initiated in 2013 - 2015: 1. Conclude upgrading Utility Management Systems as prescribed in our RoadMap Power Quality management Digitalization: Protection and Automation OMS / DMS  Modelling Dispatch 2 . Study on handling massive amount of data – BIG DATA  analytics  handling, storage and integrity Our View of the Future 3. DG pilot case – handling distributed resources and otimizing dispach of DG solar power 4 . Evaluate low cost SG meters – REN-502/12 complaint
  • 27. Thank you! Ricardo Botelho rbotelho@energisa.com.br 55-21-2122-6904 John Chowdhury Chowdhury.john@gmail.com +1 214-213-6226