Comparative Methodologies for Off-Grid Energy System Diagnostics: A Quasi-Experimental Cost-Effectiveness Analysis in Rural Ghana
Summary. Remote monitoring diagnostics for off-grid solar systems in rural Ghana detected 34% more critical failures per pound spent than technician-led checks, while community-led reporting produced unreliable data despite lower costs. The study compared three diagnostic approaches across 45 communities using quasi-experimental methods. Remote monitoring proved most cost-effective for identifying major faults, though policymakers should combine it with simplified community feedback for comprehensive system assessment.
Cite this article
Asare, K. K., Mensah, A., & Ankomah, K.. (2025). Comparative Methodologies for Off-Grid Energy System Diagnostics: A Quasi-Experimental Cost-Effectiveness Analysis in Rural Ghana. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.19486715
Asare, Kwame Kumi, et al. “Comparative Methodologies for Off-Grid Energy System Diagnostics: A Quasi-Experimental Cost-Effectiveness Analysis in Rural Ghana.” Zenodo (CERN European Organization for Nuclear Research), 2025. https://doi.org/10.5281/zenodo.19486715.
Asare, Kwame Kumi, Ama Mensah, and Kofi Ankomah. 2025. “Comparative Methodologies for Off-Grid Energy System Diagnostics: A Quasi-Experimental Cost-Effectiveness Analysis in Rural Ghana.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.19486715.
@article{asare-2025-comparative-methodologies-off-grid-energy,
title = {Comparative Methodologies for Off-Grid Energy System Diagnostics: A Quasi-Experimental Cost-Effectiveness Analysis in Rural Ghana},
author = {Kwame Kumi Asare and Ama Mensah and Kofi Ankomah},
journal = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2025},
doi = {10.5281/zenodo.19486715},
url = {https://doi.org/10.5281/zenodo.19486715}
}
TY - JOUR TI - Comparative Methodologies for Off-Grid Energy System Diagnostics: A Quasi-Experimental Cost-Effectiveness Analysis in Rural Ghana AU - Kwame Kumi Asare AU - Ama Mensah AU - Kofi Ankomah JO - Zenodo (CERN European Organization for Nuclear Research) PY - 2025 DO - 10.5281/zenodo.19486715 UR - https://doi.org/10.5281/zenodo.19486715 ER -
Details
- DOI
- 10.5281/zenodo.19486715
- Countries
- Ghana
- Regions
- Africa
- Categories
- energy, agtech, policy, general-innovation
- Added
- 2026-05-01