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Page 1 12 th Esri Eastern Africa User Conference, Martin Kretschmer 11/10/2017 Electrification Planning in Uganda using a GIS based approach Martin Kretschmer, Ministry of Energy, Uganda
Page 112 th Esri Eastern Africa User Conference , Martin Kretschmer11/10/2017
Electrification Planning in Uganda
using a GIS based approach
Martin Kretschmer, Ministry of Energy, Uganda
Page 2
Background
11/10/2017
▪ Total Number of Households
(2016): 7,751,000
▪ Rural Population (2014): 79%
▪ Number of Domestic Grid
Connections (2016): 936,000
▪ Household Grid Connection Rate:
(2016): 12,1%
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Electricity Consumption per Capita
11/10/2017
▪ Uganda (2016): 71 kWh/Capita
Source: Nasa Visible Earth
▪ Germany (2014): 7,035 kWh/Capita
▪ EU (2014): 5,909 kWh/Capita
▪ World (2014): 3,128 kWh/Capita
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Solar Containers for rural communities
11/10/2017
▪ Electrification using solar powered Mini-Grids in rural areas is often faster
and cheaper than extending the National Grid to every corner of the country
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Goal
11/10/2017
▪ Developing a GIS based decision support Model to decide whether it is
more economical to electrify a village using Solar Home Systems, Mini-
Grid or On-Grid Solutions
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Workflow
11/10/2017
Building Extraction from Satellite Images
Cluster Buildings to Settlements
Load Transformer and Distribution Line Data as well as Electrification Status Estimates
Creating buffer around distribution lines and transformers according to economic data
Create a Ranking of Villages/Trading Centres to be electrified first
12 th Esri Eastern Africa User Conference , Martin Kretschmer
Sharing this information with investors
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Pilot Area: Southern Service Territory
11/10/2017 12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Available Data: Existing Grid, Transformers,
Population Density, Villages
11/10/2017 12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Buffer calculation around the existing grid
(Buffer depends on the costs of grid extension per km)
11/10/2017 12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Data available on our Open Data Site
(Energy Sector GIS Working Group Uganda)
11/10/2017 12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Facebook Population Data
11/10/2017
▪ 20 countries
▪ 350 TB
▪ 21,600,000 sq km
▪ 30*30m
Download at https://ciesin.columbia.edu/data/hrsl/
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Facebook Data – Building Distribution in Uganda
11/10/2017 12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Building approximations from Facebook data
In total: around 340,000 houses in Southern Service Territory
11/10/2017 12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Input data and Assumptions
11/10/2017
▪ Average demand of domestic / community / productive
customers
▪ Capacity of the transformers
▪ Expected electricity reliability at the customer: 80% to 90%
▪ National Grid reliability: 95%, 90%, 85% (base case scenario)
▪ Grid extension costs < 2000 USD/customer
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Grid Extension Scenario: 85% National Grid Reliability
11/10/2017
17% Grid connections, 56% Minigrids, 27% Solar Home Systems
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Grid Extension Scenario: 90% National Grid Reliability
11/10/2017
32% Grid connections, 41% Minigrids, 27% Solar Home Systems
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Grid Extension Scenario: 95% National Grid Reliability
11/10/2017
42% Grid connections, 33% Minigrids, 26% Solar Home Systems
12 th Esri Eastern Africa User Conference , Martin Kretschmer
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Conclusion
11/10/2017
▪ The GIS model proves that it is often cheaper to connect
villages to a Minigrid than to the National Grid
▪ The model helps to decide which areas are most suitable for
electrification with Minigrids and for which areas it is more
economical to extend the National Grid
▪ The final result depends largely on the parameters used e.g. the
price per km grid extension and the expected reliability of the
grid
12 th Esri Eastern Africa User Conference , Martin Kretschmer
