Debanu, G, Sinha, S, Singh, TP, Gagnon, AS and Dharmaveer, S (2024) Multi-Criteria Decision Analysis-Based Solutions for the Installation of Photovoltaic (PV) Solar Power Plants in an Energy Deficit State of India: An Effort Toward SDG-7 (Affordable and Sustainable Energy). Transactions in Geographic Information Systems (GIS). ISSN 1361-1682

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Abstract

Sustainable Development Goal-7 (SDG-7) of the United Nations promotes the use of renewable and affordable energy. Solar energy holds significant promise as an effective and affordable renewable source in tropical countries. GIS-based Multi-Criteria Decision Analysis (MCDA) approach has been applied to evaluate land suitability for installing ground-mounted and grid-connected solar photovoltaic power plants in Purulia district of West Bengal (India) to satisfy the growing demand of energy in an eco-friendly manner. The study reveals that variation in Global Horizontal Irradiance (GHI) is the most relevant parameter for installing solar PV power plants in the district among the 13 physical parameters, followed by the aspect, slope, and proximity to the grid. The site-suitable map created using the weights of these factors has revealed that about 33.4% of the district's total land area is ideal for installing solar PV power plants, with most of these areas being in the western and central regions.

Item Type:	Article
Additional Information:	This is the peer reviewed version of the following article: Ghosh, D., Sinha, S., Singh, T., Gagnon, A. and Singh, D. (2024), Multi-Criteria Decision Analysis-Based Solutions for the Installation of Photovoltaic (PV) Solar Power Plants in an Energy Deficit State of India: An Effort Toward SDG-7 (Affordable and Sustainable Energy). Transactions in GIS. https://doi.org/10.1111/tgis.13251, which has been published in final form at https://doi.org/10.1111/tgis.13251. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Uncontrolled Keywords:	site suitability; AHP; MCDA; geospatial; solar PV power plants; 0804 Data Format; 0909 Geomatic Engineering; 1604 Human Geography; Geological & Geomatics Engineering
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:	Biological and Environmental Sciences (from Sep 19)
Publisher:	Wiley
SWORD Depositor:	A Symplectic
Date Deposited:	09 Sep 2024 09:17
Last Modified:	04 Oct 2024 14:06
DOI or ID number:	10.1111/tgis.13251
URI:	https://researchonline.ljmu.ac.uk/id/eprint/24091

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