1) The International Hellenic University created an 18-hour postgraduate course on wind energy as part of their MSc in Energy Systems program, taught solely in English.
2) The course aims to provide quality wind engineering knowledge to students with diverse scientific backgrounds, within the time limitations.
3) It covers key wind energy topics in a specific order, and references accredited materials and major online sources for further reading. Technical videos and animations are used to effectively teach students.
5. 11° • . • , 14-16.03.2018
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Energy from the wind
•Air density depends on temperature and
barometric pressure.
•The larger the diameter of the wt, the
larger the gain.
•High speeds yield more energy Betz limit, named
after german
aerodynamist
Albert Betz
22
How can we use light or sound in measuring wind speed and
wind direction at various heights?
Light Detection And Ranging (LIDAR)
Sound Detection And Ranging (SODAR)
It is necessary to
determine wind over
whole turbine rotor
Lidar=transmits & detects light
Sodar=transmits & detects sound
3: , LIDAR & SODAR
. video
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SODAR LIDAR
, 300 m ,
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Measure Correlate Predict (MCP) .
,
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4: MCP
6. 11° • . • , 14-16.03.2018
, The
Modern-Era Retrospective analysis for Research and Applications (MERRA) NASA [9]
.
MCP.
.
NESDIS, National
Environmental Satellite, Data and Information Service.
4C Offshore [10].
, 23 ,
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, [11].
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3.4.
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,
, ,
, .
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5:
3.5.
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,
Weibull k C Rayleigh
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CFD.
. .
7. 11° • . • , 14-16.03.2018
Horns Rev 2, offshore wind park
PHOTO by: Bel Air Aviation Department
Helicopter Services
Input for a CFD, code
1. Digital terrain map 2. Digital roughness
map, z0
4. Wind speed
measurements in
location within 1
3. Run model
for compilation
5. Example for wind resource
map based upon
meteorological data. Red
colors show high wind speeds
If OK then proceed to
step 4
6: Weibull, 3,6MW Rayleigh,
(wakes), CFD
3.6.
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,
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. ,
, . ,
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. ,
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. 79 3 video
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NIMBY(Not In My
Back Yard).
9. 11° • . • , 14-16.03.2018
8: (wake).
, WNW & NW 1MW, 45m
3.8. -
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CFD 5 5 .
1,8
3 MW. , CAPEX,
, OPEX ,
, IRR, , Pay Back Time
RETScreen.
[14].
Thrapsano
Roussohoria
Arkalohori
Evagelismos
5 km
1. A 500m exclusion zone is establishes around the villages(white
lines
2. A grid is placed measuring 2.5 D by 7.5 D, D=120 m
3. WTs are placed on grid points
9: 5*5 km ,
3 MW
10. 11° • . • , 14-16.03.2018
Erection area 3.000 m2
Total area(52wts) 156.000 m2
Polygone area 12.285.000
m2
% use 1,27 %
5 m wide roads 69.000 m2
% use 0,56 %
TOTAL %= 1,83 %
NUMBER OF TREES = 352.170
Maximum no of trees to cut or
remove =
6.445
Financial input for the MINOAN wind farm
Wt type Total
installed
capacity,
MW
90% of
energy
GWh
Expected
Capacity
factor,
Cf
%
CAPEX
Euro
Rent
5%
Of
revenues
mil
euros/year
O & M,
OPEX
Mil
euros/year
Sinovel 156 308.7 22.6 187.200.000
1.51 2.03
Vestas 156 330.7 24.2 187.200.000
1.62 2.03
Gamesa 104 237 26.0 124.800.000
1.16 1.35
Vestas 93,6 231.3 28.2 112.320.000
1.13 1.22
Capex per MW= 1.2 million euros, O & M at 13.000 Euros/MW/year
Revenue=98 euro/MWh
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email
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, WindEurope ( EWEA),
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11. 11° • . • , 14-16.03.2018
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[1] WindEurope statistics
https://windeurope.org/about-wind/statistics/
[2] Global Wind Energy Council, GWEC
http://www.gwec.net/publications/global-wind-energy-outlook/
[3] International Energy Agency, IEA
http://www.ieawind.org/annual_reports.html
[4] World Bank
https://openknowledge.worldbank.org/bitstream/handle/10986/24913/Assessing0and00ble
0energy0resources.pdf?sequence=1&isAllowed=y
[5] International Monetary Fund, IMF
http://www.imf.org/external/pubs/ft/weo/2016/01/pdf/sf_commod.pdf
[6] DTU Technical University of Denmark
http://www.dtu.dk/english/research/publications-and-projects
[7] NREL, National Renewable Energy Laboratory
http://www.nrel.gov/research/publications.html
[8] MEASENET Measuring Network of Wind Energy Institutes
http://www.measnet.com/documents/
[9] NASA - Modern Era Retrospective Analysis for Research Applications, MERRA
https://gmao.gsfc.nasa.gov/ref/merra/atlas/
[10] 4C OFFSHORE
http://www.4coffshore.com/offshorewind/
[11] British offshore atlas
http://vision.abpmer.net/renewables/map_default.phtml?config=tide&resetsession=groups,
resultlayers
[12] D. V. Kanellopoulos, "Wind Farm Lay-out in Areas of Complex Terrain". Proc. Of the
European Wind Energy Conference EWEC 94, 10-14 Oct. 1994, Thessaloniki Greece.
Volume I, pp. 328-332.
[13] D. V. Kanellopoulos "Wind Energy, wind farm design". ION Publishers May 2008. 223
pages, ISBN: 978-960-411-644-7. (The book is in Greek).
[14] RETScreen, National Resources of Canada, Government of Canada
http://www.nrcan.gc.ca/energy/software-tools/7465
12. 11° • . • , 14-16.03.2018
CREATION OF A POSTGATUATE COURCE FOR WIND ENERY AT
THE INTERNATIONAL HELLENIC UNIVERSITY
Dr. Dimitrios V. Kanellopoulos
Director Strategy and Business Development, PPC Renewables S.A.
3 Kapodistriou st., 153 43, Agia Paraskevi, Athens, Greece,
e-mail: dkanellopoulos@ppcr.gr
ABSTRACT
International universities are offering courses on wind energy that vary in duration. The International
Hellenic University has an 18-hour course about wind energy for postgraduate students pursuing the
MSc in Energy Systems degree. The course is offered solely in English to Greek and international
students.
The challenge was to develop a series of lectures that combine the time limitation with quality
knowledge taking into account the students’ diverse background in sciences. The paper presents the
key subjects that a postgraduate needs to know about wind engineering and explains why they need
to be taught in that order.
References are made regarding the accredited sources from where material was taken or proposed
for further reading. Major internet sources and online tools freely available today were thoroughly
discussed and a multitude of links were provided.
Last but not least, the use of technical video and animation presentations was proven to be a most
didactic tool which was most welcome by the students.
Keywords: wind energy, teaching, RES development
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