Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants

Fuzzy AHP, Fuzzy ANP Techniques and Neuro-Genetic Model Approach

  • Mrinmoy¬†Majumder

Part of the SpringerBriefs in Energy book series (BRIEFSENERGY)

Table of contents

  1. Front Matter
    Pages i-x
  2. Mrinmoy Majumder
    Pages 1-5
  3. Mrinmoy Majumder
    Pages 7-11
  4. Mrinmoy Majumder
    Pages 13-17
  5. Mrinmoy Majumder
    Pages 25-29
  6. Mrinmoy Majumder
    Pages 31-102
  7. Mrinmoy Majumder
    Pages 103-105

About this book


This Brief presents the multi criteria decision making (MCDM) techniques like Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Analytical Network Process (ANP) to find out the importance of the influencing factors to develop the Climatic Vulnerability Index (CVI) that will represent the vulnerability of the Hydro-Power Plant (HPP) to climatic abnormalities. The cognitive ability of neuro-genetic modeling is applied to minimize CVI so that the conditions required to reduce the effect of climate change on HPP can be identified. The results from the study are found to be encouraging. The scarcity and pollution potential of conventional sources of energy has enforced scientists worldwide to look for efficient, flexible, cost effective but reliable alternative energy resources. Among many available options the energy extracted from water was found to be the least expensive, most flexible and moderately reliable renewable energy source which has the potential to replace the dependency on conventional fuels.


Climate Change Impact Index Climatic Vulnerability Index Fuzzy Analytical Hierarchy Process Fuzzy Analytical Network Process Hydro-energy Potential Mini-hydro Power Plant Multi Criteria Decision Analysis Neural Networks Neuro-Genetic Model

Authors and affiliations

  • Mrinmoy¬†Majumder
    • 1
  1. 1.National Institute of TechnologyAgartalaIndia

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-287-313-2
  • Online ISBN 978-981-287-314-9
  • Series Print ISSN 2191-5520
  • Series Online ISSN 2191-5539
  • Buy this book on publisher's site
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