Opiyo, NN, Crook, R and Taylor, PG (2016) A Survey Informed PV-Based Cost-Effective Electrification Options for Rural Sub-Saharan Africa. Energy Policy, 91. pp. 1-11. ISSN 0301-4215
Abstract
A comprehensive survey is carried out in Kendu Bay area of Kenya to determine electrification patterns of a typical rural sub-Saharan Africa community and to determine the reasons behind such energy choices. The data from the survey is used to build a transition probability matrix (TPM) for different electrification states for Kendu Bay households. The TPM and the survey data are used to model temporal diffusion of PV systems and PV-based communal (mini/micro) grids in the area. Survey data show that majority of Kendu Bay residents shun the national grid due to high connection fees, unreliability of the system, and corruption; people who can afford-to choose small solar home systems for their basic electricity needs. Without any government policy intervention or help, simulation results show that once 100% electrification status has been achieved in Kendu Bay, only 26% of the residents will be found to be electrified through the national grid alone; the majority (38%) will be electrified through PV-based communal grids while the remaining 36% will be electrified through grid connected PV home systems (26%) or grid connected communal grids (10%).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Communal gridding; Rural electrification; Energy survey; Transition probabilities; PV diffusion |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Energy Research Institute (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jun 2016 14:14 |
Last Modified: | 12 Jun 2016 13:34 |
Published Version: | http://dx.doi.org/10.1016/j.enpol.2015.12.044 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.enpol.2015.12.044 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:99385 |