Suitability Analysis for solar and wind energy in West Africa presentation (powered by the Global Atlas) at the World Future Energy Summit 2017 in Abu Dhabi at the Renewable Energy Entrepreneurship side event.

1. 1. An identification of suitable zones to investigate for development of both
grid connected and offgrid solar and wind projects
2. Results are presented for 15 countries in West Africa, all of which are part of
the ECOWAS community
for solar and wind energy in West Africa
3. Calculation is simple, and based on critical parameters such as grid proximity,
topography, resource quality, population density, land-cover and protected areas
4. Results are presented as maps and numbers that indicate technical potential
Suitability Analysis

2. Powered by
Sample results – Wind grid connected Sample results – Solar grid connected
Results

3. 1. Two (2) wind sites in Cape Verde with a combined
capacity of 4.8 MW
Cape Verde?
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3. Results show that both sites are feasible below current electricity
tariffs on the island
2. Sites were assessed for economic feasibility using proprietary models
developed by IRENA
Site Appraisal

4. Site 1 – Sao Vicente, 4MW capacity
Production estimates
1. Wind data analysis – inter-annual variability, and
frequency distribution
3. Financial model – cash flow model, NPV, IRR and
Sensitivity analysis
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Data Analysis, Power Simulation & Financial modelling
Resolution [min] 60
Length [years] 10.0
Mean wind speed [m/s] 6.9
Max wind speed [m/s] 15.3
Min wind speed [m/s] 0
Inter‐annual variability 4.91%
Air density [kg/m3] 1.171
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
Wind Speed Frequency Distribution
0
200
400
600
800
1000
0 5 10 15 20 25 30
Power[kW]
Wind Speed [m/s]
2. Power Simulation
Power Curve [kW] Calculated Hourly Energy [kWh/h]
P25 [MWh/Year] 11,125
P50 [MWh/Year] 9,707
P90 [MWh/ Year] 7,013
-5%
0%
5%
10%
15%
20%
25%
50 100 150 200 250
IRR[%]
Tariff ($/MWh)
Total CAPEX (a) - P25 Total CAPEX (a) - P50
Total CAPEX (a) - P90 Total CAPEX (a) + X% - P25
Total CAPEX (a) + X% - P50 Total CAPEX (a) + X% - P90
Total CAPEX (a) - X% - P25 Total CAPEX (a) - X% - P50
Total CAPEX (a) - X% - P90
NPV net income before tax 2,122,255
IRR before tax 10.17%
NPV net income after tax 0
IRR after tax 8.00%

5. Production estimates
1. Wind data analysis – inter-annual variability, and
frequency distribution
3. Financial model – cash flow model, NPV, IRR and
Sensitivity analysis
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Site 2 – Maio, 800kW capacity
Data Analysis, Power Simulation & Financial modelling
Resolution [min] 60
Lenght [years] 10.0
Mean wind speed [m/s] 8.0
Max wind speed [m/s] 16.6
Min wind speed [m/s] 0
Inter‐annual variability 3.87%
0.0%
5.0%
10.0%
15.0%
Wind Speed Frequency Distribution
0
200
400
600
800
1000
0 5 10 15 20 25 30
Power[kW]
Wind Speed [m/s]
2. Power Simulation Curve
Power Curve [kW] Calculated Hourly Energy [kWh/h]
P25 [MWh/Year] 3,281
P50 [MWh/Year] 2,929
P90 [MWh/Year] 2,259
-10%
0%
10%
20%
30%
50 70 90 110 130 150 170 190 210
IRR[%]
Tariff
Total CAPEX (a) - P25 Total CAPEX (a) - P50
Total CAPEX (a) - P90 Total CAPEX (a) + X% - P25
Total CAPEX (a) + X% - P50 Total CAPEX (a) + X% - P90
NPV net income before tax 421,156
IRR before tax 10.15%
NPV net income after tax -2,471
IRR after tax 8.0%