Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries

Conference · Fri Jun 01 04:00:00 EDT 2018

DOI:https://doi.org/10.1109/PowerAfrica.2018.8521122· OSTI ID:1474872

Kotikot, Susan M. ^[1]; Ajinjeru, Christine ^[1]; Odukomaiya, Wale O. ^[1]; Omitaomu, Femi ^[1]

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1. 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