Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries
- ORNL
Power infrastructure planning in Sub-Saharan Africa requires accurate power demand estimates. However, these estimates are lacking in most countries which compounds the effects of unreliable electricity supply. This study utilizes a methodology that was used to forecast power demand in Uganda and extends it to other African countries of interest; Kenya, Nigeria, and South Africa. The goal of the study is to create spatial power demand maps that can be used for power infrastructure planning. The proposed approach utilizes a global population database at a fine resolution of 1 km2 as the foundational input data. The analysis indicates a deficit of about 22,630 MW (South Africa), 20,213 MW (Nigeria), 4,153 MW (Kenya), and 2,508 MW (Uganda) compared to the current installed capacity to meet the highest power demand scenario.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1474872
- Country of Publication:
- United States
- Language:
- English
Similar Records
Market for diesel-generating plant - African region, South of the Sahara
Duke Engineering explores huge African Power Project