AccScience Publishing / AJWEP / Volume 16 / Issue 2 / DOI: 10.3233/AJW190012
RESEARCH ARTICLE

Sustainability Assessment Considering Socioenvironmental and Economic Indicators Using Fuzzy  Logic: A Case Study of Indian Hydropower Projects

Anuja Shaktawat1* Shelly Vadhera2
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1 SREE, National Institute of Technology, Kurukshetra, Haryana, India
2 Electrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, India
AJWEP 2019, 16(2), 1–7; https://doi.org/10.3233/AJW190012
Submitted: 25 January 2019 | Revised: 1 March 2019 | Accepted: 1 March 2019 | Published: 24 April 2019
© 2019 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

There is a rapid expansion of energy demand in India. Hydropower as a renewable energy source has  the potential to fulfill the demand to quite an extent. Hydropower development has economic, environmental  and social impact on society. The sustainability assessment of power projects mostly considers power generation  whereas hydropower sustainability depends on social and environmental factors too. In this paper, an attempt is  made to evaluate the sustainability of Indian hydropower projects using the weighted sum method and fuzzy logic.  The methodology is based on three dimensional criteria i.e. economic, social and environmental considering that  all three indicators have an equal impact on sustainability. The paper will be a lighthouse for future planners and  researchers in the Indian context as a tool that can be applied for sustainability assessments of planned as well  as already constructed hydropower project.

Keywords
Hydropower projects
sustainability
economic indicator
social indicator
environmental indicator
Conflict of interest
The authors declare they have no competing interests.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing