Is nuclear power a cost optimal solution for Kenya's electricity generation mix?
Master Thesis
2016
Permanent link to this Item
Authors
Journal Title
Link to Journal
Journal ISSN
Volume Title
Publisher
Publisher
University of Cape Town
Department
License
Series
Abstract
In 2010, the adoption of nuclear power was declared a national priority in Kenya. Thereafter, a target of obtaining 4000 MW of nuclear power by the year 2030 was documented in Kenya's Least Cost Power Development Plan (LCPDP) 2010-2031. The nuclear target has drawn a lot of opposition from some Kenyans whose concerns are centered on the cost and safety risks incurred by nuclear power. The government however states that nuclear power is necessary for the diversification of the electricity generation mix and satisfaction of future electricity demand. The aim of this thesis was therefore to determine whether electricity demand in Kenya could be met without nuclear power and whether it was more economical to utilize nuclear power in Kenya's electricity generation mix rather than increase the generation capacity of other sources of electricity available to Kenya. To answer these questions, two capacity expansion models were developed. These models like the LCPDP studied the period between 2010 and 2031. The aim of the first model was to replicate LCPDP, and in doing so verify the necessity of nuclear power for meeting Kenya's future electricity demand. As far as was possible, the validation model utilized the same assumptions, including the same demand forecast that was used to develop the LCPDP 2010-2031. The validation was done to verify the necessity of nuclear power from the LCPDP's set of assumptions. The second model was developed with the aim of obtaining an updated capacity expansion plan. This plan utilized recent assumptions including an updated demand forecast. The demand was forecasted using regression of historical electricity demand against GDP in the commercial and industrial category. In the domestic category historical demand was regressed against GDP per capita and population. Based on recent data and economic forecasts, a GDP growth rate of 6% was used to forecast the electricity demand instead of 9% used in the LCPDP's demand forecast. [Please note: this thesis file has been deferred until June 2018]
Description
Keywords
Reference:
Odera, S. 2016. Is nuclear power a cost optimal solution for Kenya's electricity generation mix?. University of Cape Town.