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Potential of Solar Energy in Kenya
Simon Haufe
Romana Basir
Francis Oloo
Student Project
Cartography & Geovisualization
WS 2012/2013
1
Project objectives
2
• To map the main driving factors for solar energy generation
• To generate and visualize solar radiation layer for Kenya
• To qualitatively visualize the solar energy potential in smaller
administrative units
3
Area of study
4
• Elevation : 90m SRTM from ILRI GIS database
• Cloud cover : 1km NOAA-AVHRR CLASS data
• Land cover : FAO Africover data
• Accessibility : distance from settlements and towns
Data
Methodology
5
Create a global radiation layer
• ArcToolbox/Spatial Analyst/Solar
Radiation/Area Solar Radiation
• Generated from 90m elevation
layer; every 14 days; all months of
year; 2 hour interval; units of
measure: Mwh/m2
6
Work in ArcScene
• Floating the global radiation
layer on itself
• Classification (Mwh/m²):
< 1800
1800 – 1950
1950 – 2050
2050 – 2200
> 2200
7
3D-Visualization of Solar radiation
8
Mapping of initial data layers
• Involved cartographic representation of individual layers
• To show the stakeholders the interplay between different
parameters in mapping the potential of solar energy.
9
10
11
12
13
Qualitative Analysis
14
15
Current access to electricity
16
Results
17
Results
18
Results
19
Results
References
• Ministry of Energy, Government of Kenya. Scaling-up Renewable Energy
Program (SREP), investment plan for Kenya. 2011. Nairobi, Government
Printer.
• NOAA AVHRR DATA http://www.nsof.class.noaa.gov
20
Thank you
Comments/Questions
21

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