Title: Real-time vulnerability analysis of hydropower projects under changed climatic scenarios

Authors: Priyanka Majumder; Samrat Kar; Mrinmoy Majumder

Addresses: Department of Basic Science and Humanities, Techno College of Engineering Agartala, Maheshkhola-799004, Tripura, India ' Department of Electrical Engineering, Techno College of Engineering Agartala, Maheshkhola-799004, Tripura, India ' Department of Civil Engineering, National Institute of Technology Agartala, Barjala, Jirania, Tripura, 799046, India

Abstract: Utilising the kinetic energy of the flowing water and converting it to electrical energy can be a very useful method in the way of sustainable development as energy retrieved from the flowing water is comparatively inexpensive and a reliable renewable energy source which have the potential to substitute the conventional methods. But due to the increasing concentration of unwanted green house gases and global warming the environmental concentration are degrading day by day. The electricity production of hydropower plant will greatly be effected by climate change as the production is directly proportional to the rate of flowing water which directly depends on the climatic location of the power plant. Thus continuous climatic vulnerability monitoring becomes very important factor in order to predict the efficiency of a hydro power plant. In this study continuous climatic vulnerability monitoring is done by decision making-based neuro-genetic models.

Keywords: HPP; fuzzy AHP; ANN; climate change; real-time monitoring.

DOI: 10.1504/IJGW.2021.10039774

International Journal of Global Warming, 2021 Vol.24 No.3/4, pp.383 - 399

Received: 19 Sep 2019
Accepted: 30 May 2020

Published online: 21 Jul 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article