UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Mid- to long-term capacity planning for a reliable power system in Kenya

Kihara, Mungai; Lubello, Pietro; Millot, Ariane; Akute, Michelle; Kilonzi, Julius; Kitili, Monicah; Mukuri, Felister; ... Pye, Steve; + view all (2024) Mid- to long-term capacity planning for a reliable power system in Kenya. Energy Strategy Reviews , 52 , Article 101312. 10.1016/j.esr.2024.101312. Green open access

[thumbnail of Lubello_Mid- to long-term capacity planning for a reliable power system in Kenya_VoR.pdf]
Preview
Text
Lubello_Mid- to long-term capacity planning for a reliable power system in Kenya_VoR.pdf

Download (5MB) | Preview

Abstract

Over the coming decades, Kenya is likely to see a large increase in electricity demand driven by economic growth and wider electrification of different sectors. At the same time, Kenya remains committed to maintain its high share of renewable generation. This study proposes a novel framework to soft link OSeMOSYS, a capacity expansion model (CEM), and FlexTool, a production cost model (PCM), to address the limitations of CEMs in the representation of variable renewable energy sources. Results show the effectiveness of the methodology in identifying critical grid issues that would have been missed by the capacity expansion model alone, especially in the case of a higher penetration of non-dispatchable sources. They also confirm that based on robust planning approaches, Kenya is well placed to maintain its very low carbon generation system under different demand growth projections, leveraging on firm generation from geothermal and high wind potential.

Type: Article
Title: Mid- to long-term capacity planning for a reliable power system in Kenya
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.esr.2024.101312
Publisher version: http://dx.doi.org/10.1016/j.esr.2024.101312
Language: English
Additional information: © 2024 The Authors. Published by Elsevier Ltd. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Kenya, Energy modelling, Power system planning, Energy scenarios, Soft linking
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10192438
Downloads since deposit
616Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item