Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach

This study presents a multi-platform analysis for accelerating the deployment of distributed renewable energy (DRE) systems for the electrification of healthcare facilities (HCFs) in low-income regions. While existing tools capture national and regional scale planning for DRE deployment in HCFs, the...

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Autores principales:	Mohammad H. Pakravan, Andrea C. Johnson
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	renewable energy planning off-grid electrification healthcare facility cloud-based data collection multi-criteria decision-making TOPSIS Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/a8f996584262482e850812787ca22e7b
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spelling	oai:doaj.org-article:a8f996584262482e850812787ca22e7b2021-11-25T17:52:58ZElectrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach10.3390/ijgi101107502220-9964https://doaj.org/article/a8f996584262482e850812787ca22e7b2021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/750https://doaj.org/toc/2220-9964This study presents a multi-platform analysis for accelerating the deployment of distributed renewable energy (DRE) systems for the electrification of healthcare facilities (HCFs) in low-income regions. While existing tools capture national and regional scale planning for DRE deployment in HCFs, there are limited tools for facility level energy needs and no existing data-driven approach for systematic decision-making and resource allocation across a portfolio of HCFs. We address this gap by utilizing decentralized data collection, and multi-criteria decision-making to evaluate each HCF against a set of weighted decision criteria. We applied the approach presented in this research in a case study across 56 HCF in Uganda. Results present current and future energy needs for each individual clinic and the prioritization of HCFs for allocation of resources for DRE deployment. Additionally, results provide insight for best practices for reliability of services that are specific to each HCF. For example, failures in the existing solar photovoltaic (PV) systems are approximately up to 60% due to a lack of proper operation and management (O&M) strategy, and 40% is attributable to improper system design and installation. Thus, this study enables decision-makers to better understand the electrification needs of different HCFs, prioritize DRE deployment, financial investments, cost-effective procurement, and long-term O&M.Mohammad H. PakravanAndrea C. JohnsonMDPI AGarticlerenewable energy planningoff-grid electrificationhealthcare facilitycloud-based data collectionmulti-criteria decision-makingTOPSISGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 750, p 750 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	renewable energy planning off-grid electrification healthcare facility cloud-based data collection multi-criteria decision-making TOPSIS Geography (General) G1-922
spellingShingle	renewable energy planning off-grid electrification healthcare facility cloud-based data collection multi-criteria decision-making TOPSIS Geography (General) G1-922 Mohammad H. Pakravan Andrea C. Johnson Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach
description	This study presents a multi-platform analysis for accelerating the deployment of distributed renewable energy (DRE) systems for the electrification of healthcare facilities (HCFs) in low-income regions. While existing tools capture national and regional scale planning for DRE deployment in HCFs, there are limited tools for facility level energy needs and no existing data-driven approach for systematic decision-making and resource allocation across a portfolio of HCFs. We address this gap by utilizing decentralized data collection, and multi-criteria decision-making to evaluate each HCF against a set of weighted decision criteria. We applied the approach presented in this research in a case study across 56 HCF in Uganda. Results present current and future energy needs for each individual clinic and the prioritization of HCFs for allocation of resources for DRE deployment. Additionally, results provide insight for best practices for reliability of services that are specific to each HCF. For example, failures in the existing solar photovoltaic (PV) systems are approximately up to 60% due to a lack of proper operation and management (O&M) strategy, and 40% is attributable to improper system design and installation. Thus, this study enables decision-makers to better understand the electrification needs of different HCFs, prioritize DRE deployment, financial investments, cost-effective procurement, and long-term O&M.
format	article
author	Mohammad H. Pakravan Andrea C. Johnson
author_facet	Mohammad H. Pakravan Andrea C. Johnson
author_sort	Mohammad H. Pakravan
title	Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach
title_short	Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach
title_full	Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach
title_fullStr	Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach
title_full_unstemmed	Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach
title_sort	electrification planning for healthcare facilities in low-income countries, application of a portfolio-level, multi criteria decision-making approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a8f996584262482e850812787ca22e7b
work_keys_str_mv	AT mohammadhpakravan electrificationplanningforhealthcarefacilitiesinlowincomecountriesapplicationofaportfoliolevelmulticriteriadecisionmakingapproach AT andreacjohnson electrificationplanningforhealthcarefacilitiesinlowincomecountriesapplicationofaportfoliolevelmulticriteriadecisionmakingapproach
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Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach

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