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Resource Assessments in
the CEC
N. Fichaux, A. O. Ali, W. J. Lee
IRENA
WHY MAPPING RENEWABLE ENERGY
RESOURCES?
2
Variable Baseload
Wind x
Solar x
Hydropower x x
Geothermal x
Marine x 3
MAIN CHARACTERISTICS
• Lowest cost for consumers -...
CLIMATIC ZONES:
A - tropical
B - subtropical
C - temperate (moderately warm = I and cold = II)
D - polar
Sub-classificatio...
WHY MAPPING POTENTIALS?
5
Conceptual diagram of Renewable Energy Potentials (from NREL, 2012)
How competitive is it?
How m...
INTENSE WORK IN CEC
6
WIND SOLAR BIOENERGY
HYDRO. GEOTH.
LITTERATURE ASSESSMENT.
IDENTIFIED MAPS AND
MEASUREMENT CAMPAIGNS...
A STRATEGY FOR THE CEC?
7
Do not let what you cannot do tear from your hands
what you can. (Ghana)
WHAT HAPPENED IN 10Y?
8
NASA 2008 - 1x1 deg
Helioclim 2005 – 20 x 20 km
Private companies – down to 90m
Winds in the East African corridor.
Mesoscale 9km basemap
extracted from Vortex, Spain.
Average annual wind speeds at 80
m...
Solar Global Horizontal Irradiance
in the East African corridor. Map
extracted from SolarGIS
(Geomodel Solar).
The data is...
A STRATEGY FOR THE CEC?
11
Mesoscale High resource? High opportunity?
Turkana
STEP BY STEP ANALYSIS
12
Data
bankability
Investor’s
interest
PUBLIC
SECTOR
EFFORT
Local
measurements
PRIVATE
SECTOR
EFFOR...
13
Albania, Australia, Belgium, Denmark, Egy
pt, Ethiopia, France, Gambia, Germany, Gr
enada, Honduras, India, Iraq, Israe...
14
RENEWABLE ENERGY
www.irena.org/GlobalAtlas
Renewable Energy
Resource Mapping
GlobalAtlas
SolarandWind
@GlobalREAtlas
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Global Atlas presentation for the IRENA Clean Energy Corridor inititiave

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Global Atlas presentation for the IRENA Clean Energy Corridor inititiave

  1. 1. Resource Assessments in the CEC N. Fichaux, A. O. Ali, W. J. Lee IRENA
  2. 2. WHY MAPPING RENEWABLE ENERGY RESOURCES? 2
  3. 3. Variable Baseload Wind x Solar x Hydropower x x Geothermal x Marine x 3 MAIN CHARACTERISTICS • Lowest cost for consumers - optimisation at system level • High share of renewable energy - where it makes economic sense • Dealing with variability both in demand and supply - using synergies between the different sources and markets
  4. 4. CLIMATIC ZONES: A - tropical B - subtropical C - temperate (moderately warm = I and cold = II) D - polar Sub-classification for tropical climates (A): 1-tropical cold 2-tropical warm Sub-classification for other climates: 1-continental high 2-continental 3-marino WATER CONTENT: a-arid (0-2 months rain) sa - semi-arid (3-5 months rain) sh - semi humid (6-9 months rain) h - humid (10-12 months rain). 4 Classification: W. Lauer and P. Frankenberg, 1985 Source: European Energy Research Alliance http://www.thermogis.nl/worldviewer/ThermoGISWorldEdition.html RESOURCE SYNERGIES
  5. 5. WHY MAPPING POTENTIALS? 5 Conceptual diagram of Renewable Energy Potentials (from NREL, 2012) How competitive is it? How much can it cost? Where can it be harvested? How much power? Where is the resource? Complexity Standards Private sector interest Risks • COUNTRY-DRIVEN • LONG TERM PLANNING PROCESS • COMMITMENT REQUIRED
  6. 6. INTENSE WORK IN CEC 6 WIND SOLAR BIOENERGY HYDRO. GEOTH. LITTERATURE ASSESSMENT. IDENTIFIED MAPS AND MEASUREMENT CAMPAIGNS. Country resource map identified (official or not) Measurement points identified or referenced by the literature.
  7. 7. A STRATEGY FOR THE CEC? 7 Do not let what you cannot do tear from your hands what you can. (Ghana)
  8. 8. WHAT HAPPENED IN 10Y? 8 NASA 2008 - 1x1 deg Helioclim 2005 – 20 x 20 km Private companies – down to 90m
  9. 9. Winds in the East African corridor. Mesoscale 9km basemap extracted from Vortex, Spain. Average annual wind speeds at 80 m high. The values can not be used without validation, but the wind patterns appear clearly, and are consistent with other mesoscale sources. The boxes attempt to highlight areas with possibly strong annual average wind speeds. This rough approximation does not exclude the possibility of good wind sites outside the red squares, due to local effects not captured by the mesoscale model.
  10. 10. Solar Global Horizontal Irradiance in the East African corridor. Map extracted from SolarGIS (Geomodel Solar). The data is derived from satellite images, recalibrated on ground measurements. The values can not be used locally without validation, but the patterns appear clearly, and are consistent with other sources. The boxes attempt to highlight areas with highest irradiation values. This rough approximation does not exclude the possibility of good sites outside the red squares, due to local effects not captured by the model.
  11. 11. A STRATEGY FOR THE CEC? 11 Mesoscale High resource? High opportunity? Turkana
  12. 12. STEP BY STEP ANALYSIS 12 Data bankability Investor’s interest PUBLIC SECTOR EFFORT Local measurements PRIVATE SECTOR EFFORT Existing local measurements
  13. 13. 13 Albania, Australia, Belgium, Denmark, Egy pt, Ethiopia, France, Gambia, Germany, Gr enada, Honduras, India, Iraq, Israel, Kuwai t, Lithuania, Mali, Mexico, Mongolia, Nicar agua, Niger, Nigeria, Norway, Peru, Qatar, Saudi Arabia, Senegal, Seychelles, South Africa, Spain, Swaziland, Switzerland, Tuni sia, UAE, Uganda, UK, Uruguay, USA, Yem en.
  14. 14. 14 RENEWABLE ENERGY www.irena.org/GlobalAtlas Renewable Energy Resource Mapping GlobalAtlas SolarandWind @GlobalREAtlas

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