Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan

Roughly two billion people live in areas that regularly suffer from conflict, violence, and instability. Infrastructure development in those areas is very difficult to implement and fund. As an example, electrification systems face major challenges...

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Main Authors: Korkovelos, Alexandros, Mentis, Dimitrios, Bazilian, Morgan, Howells, Mark, Saraj, Anwar, Hotaki, Sulaiman Fayez, Missfeldt-Ringius, Fanny
Format: Journal Article
Language:English
Published: MDPI 2020
Subjects:
Online Access:http://documents.worldbank.org/curated/en/233391583898995644/Supporting-Electrification-Policy-in-Fragile-States-A-Conflict-Adjusted-Geospatial-Least-Cost-Approach-for-Afghanistan
http://hdl.handle.net/10986/33464
id okr-10986-33464
recordtype oai_dc
spelling okr-10986-334642021-05-25T10:54:41Z Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan Korkovelos, Alexandros Mentis, Dimitrios Bazilian, Morgan Howells, Mark Saraj, Anwar Hotaki, Sulaiman Fayez Missfeldt-Ringius, Fanny CONFLICT-AFFECTED STATES ELECTRIFICATION GEOSPATIAL ANALYSIS OnSSET GIS GEOGRAPHIC INFORMATION SYSTEM Roughly two billion people live in areas that regularly suffer from conflict, violence, and instability. Infrastructure development in those areas is very difficult to implement and fund. As an example, electrification systems face major challenges such as ensuring the security of the workforce or reliability of power supply. This paper presents electrification results from an explorative methodology, where the costs and risks of conflict are explicitly considered in a geo-spatial, least cost electrification model. Discount factor and risk premium adjustments are introduced per technology and location in order to examine changes in electrification outlooks in Afghanistan. Findings indicate that the cost optimal electrification mix is very sensitive to the local context; yet, certain patterns emerge. Urban populations create a strong consumer base for grid electricity, in some cases even under higher risk. For peri-urban and rural areas, electrification options are more sensitive to conflict-induced risk variation. In this paper, we identify these inflection points, quantify key decision parameters, and present policy recommendations for universal electrification of Afghanistan by 2030. 2020-03-24T16:14:21Z 2020-03-24T16:14:21Z 2020-01-21 Journal Article http://documents.worldbank.org/curated/en/233391583898995644/Supporting-Electrification-Policy-in-Fragile-States-A-Conflict-Adjusted-Geospatial-Least-Cost-Approach-for-Afghanistan Sustainability http://hdl.handle.net/10986/33464 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank MDPI Publications & Research Publications & Research :: Journal Article South Asia Afghanistan
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic CONFLICT-AFFECTED STATES
ELECTRIFICATION
GEOSPATIAL ANALYSIS
OnSSET
GIS
GEOGRAPHIC INFORMATION SYSTEM
spellingShingle CONFLICT-AFFECTED STATES
ELECTRIFICATION
GEOSPATIAL ANALYSIS
OnSSET
GIS
GEOGRAPHIC INFORMATION SYSTEM
Korkovelos, Alexandros
Mentis, Dimitrios
Bazilian, Morgan
Howells, Mark
Saraj, Anwar
Hotaki, Sulaiman Fayez
Missfeldt-Ringius, Fanny
Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan
geographic_facet South Asia
Afghanistan
description Roughly two billion people live in areas that regularly suffer from conflict, violence, and instability. Infrastructure development in those areas is very difficult to implement and fund. As an example, electrification systems face major challenges such as ensuring the security of the workforce or reliability of power supply. This paper presents electrification results from an explorative methodology, where the costs and risks of conflict are explicitly considered in a geo-spatial, least cost electrification model. Discount factor and risk premium adjustments are introduced per technology and location in order to examine changes in electrification outlooks in Afghanistan. Findings indicate that the cost optimal electrification mix is very sensitive to the local context; yet, certain patterns emerge. Urban populations create a strong consumer base for grid electricity, in some cases even under higher risk. For peri-urban and rural areas, electrification options are more sensitive to conflict-induced risk variation. In this paper, we identify these inflection points, quantify key decision parameters, and present policy recommendations for universal electrification of Afghanistan by 2030.
format Journal Article
author Korkovelos, Alexandros
Mentis, Dimitrios
Bazilian, Morgan
Howells, Mark
Saraj, Anwar
Hotaki, Sulaiman Fayez
Missfeldt-Ringius, Fanny
author_facet Korkovelos, Alexandros
Mentis, Dimitrios
Bazilian, Morgan
Howells, Mark
Saraj, Anwar
Hotaki, Sulaiman Fayez
Missfeldt-Ringius, Fanny
author_sort Korkovelos, Alexandros
title Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan
title_short Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan
title_full Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan
title_fullStr Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan
title_full_unstemmed Supporting Electrification Policy in Fragile States : A Conflict-Adjusted Geospatial Least Cost Approach for Afghanistan
title_sort supporting electrification policy in fragile states : a conflict-adjusted geospatial least cost approach for afghanistan
publisher MDPI
publishDate 2020
url http://documents.worldbank.org/curated/en/233391583898995644/Supporting-Electrification-Policy-in-Fragile-States-A-Conflict-Adjusted-Geospatial-Least-Cost-Approach-for-Afghanistan
http://hdl.handle.net/10986/33464
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