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Green Energy Sources Selection for Sustainable Planning: A Case Study
- Source :
- IEEE Transactions on Engineering Management. 69:1322-1334
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- The aim of this article is to select the optimum green energy sources for sustainable planning for a region. This research presents an integrated model based on theoretical base of benefit, opportunities, costs, risks and a well-known multicriteria decision-making technique, i.e., the analytical hierarchy process, to evaluate the green energy sources from northeast India along with 16 local factors. The analyzed result shows that solar photovoltaic is the optimum green energy source having the highest score value followed by other sources, appraised by the integrated model. Based on the results this article, we suggest some policies for the energy managers, policymaker, and decision makers. This article has both theoretical and practical implications. Theoretically, it contributes holistic measures for designing and managing the green energy sources selection framework for sustainability, and, practically, it helps various organizations operating in the green energy sources selection sector to improve their sustainability dimension for the cleaner future. The proposed article considers not only various cost criteria, but also all other criteria, such as power generation, implementation period, and useful life, that are considered to select the optimum green energy sources for the better future. The findings of this article can provide useful information to energy decision makers and serve as a reference for Tripura's energy policy.
- Subjects :
- Computer science
business.industry
Strategy and Management
Photovoltaic system
Analytic hierarchy process
Environmental economics
Energy policy
Renewable energy
Electricity generation
Sustainability
Electrical and Electronic Engineering
Dimension (data warehouse)
business
Selection (genetic algorithm)
Subjects
Details
- ISSN :
- 15580040 and 00189391
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Engineering Management
- Accession number :
- edsair.doi...........8498c9efce039ca80c7d76ca3f5dfa68