IDENTIFYING HIGH-PRIORITY REGIONS TO ACHIEVE ELECTRICITY ACCESS (99%) BY 2030 USING ENERGY ACCESS EXPLORER – CASE OF GHANA

Ghana has made substantial progress toward universal electricity access under the National Electrification Scheme (NES); however, approximately 11 percent of the population—predominantly in rural and northern regions—remains without access. Achieving near-universal access by 2030 will require targeted, data-driven interventions that balance grid expansion with decentralised energy solutions. This study applies the Energy Access Explorer (EAE), a geospatial decision-support platform developed by the World Resources Institute, to identify priority regions and optimal electrification pathways using a multi-criteria decision analysis framework. The results indicate that a differentiated strategy combining grid densification, mini-grids, and standalone solar systems offers the most cost-effective and equitable approach to closing Ghana’s remaining electrification gap. The findings provide actionable insights to support policy formulation, investment prioritisation, and implementation planning.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18495322
Primary Topic
Energy and Environment Impacts
Type
article
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article

IDENTIFYING HIGH-PRIORITY REGIONS TO ACHIEVE ELECTRICITY ACCESS (99%) BY 2030 USING ENERGY ACCESS EXPLORER – CASE OF GHANA

DANIEL YEBOAH BOATENG
Zenodo (CERN European Organization for Nuclear Research)
Energy and Environment Impacts
article

IDENTIFYING HIGH-PRIORITY REGIONS TO ACHIEVE ELECTRICITY ACCESS (99%) BY 2030 USING ENERGY ACCESS EXPLORER – CASE OF GHANA

DANIEL YEBOAH BOATENG
article en

Abstract

Ghana has made substantial progress toward universal electricity access under the National Electrification Scheme (NES); however, approximately 11 percent of the population—predominantly in rural and northern regions—remains without access. Achieving near-universal access by 2030 will require targeted, data-driven interventions that balance grid expansion with decentralised energy solutions. This study applies the Energy Access Explorer (EAE), a geospatial decision-support platform developed by the World Resources Institute, to identify priority regions and optimal electrification pathways using a multi-criteria decision analysis framework. The results indicate that a differentiated strategy combining grid densification, mini-grids, and standalone solar systems offers the most cost-effective and equitable approach to closing Ghana’s remaining electrification gap. The findings provide actionable insights to support policy formulation, investment prioritisation, and implementation planning.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 65%
Energy and Environment Impacts
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