Alternative Energy Options for India— A Multi-criteria Decision Analysis to Rank Energy Alternatives using Analytic Hierarchy Process and Fuzzy Logic with an Emphasis to Distributed Generation

Authors

  • Mr. Sanjeev H. Kulkarni Institute of Technology Belgaum under Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India
  • Mr. Bhairu J. Jirage Department of Mathematics at the K.L.S. Gogte Institute of Technology Belagavi, Karnataka, India
  • Dr. T.R. Anil Department of Mechanical Engineering at K.L.S. Gogte Institute of Technology, Belgaum, Karnataka, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3222

Keywords:

Renewable energy, sustainability, multi-criteria, decentralized, fuzzy sets, electrification

Abstract

Several studies have been performed in last many years as to
which type of energy source would be suitable for extending energy
access for remote rural areas. Energy planning using multi-criteria
analysis has attracted the attention of decision makers for a long time.
Multi-Criteria Decision Making (MCDM) techniques are attractive in
problems having multiple and conflicting objectives. This article develops a methodological framework providing insights to suitability
of multi-criteria techniques in the context of operation energy alternatives namely Central Grid/Grid Extension, Solar Home Systems and
Microgrids in India. The model was built using the Analytic Hierarchy
Process (AHP) with empirical data from various sources. Several parameters like generation cost, price, losses, reliability, capacity, availability, and constraints (geological/local) were investigated. Based
on the scheme developed by Saaty—the AHP and Fuzzy Sets using
MATLAB these multi-criteria are evaluated and compared. The analysis were carried out under two scenarios namely—environment and
cost. Finally alternatives for energy generation were ranked based on
the AHP and Fuzzy logic. The results indicate that MICROGRID is the
ideal choice among the alternatives for energy generation in a decentralised way and is a possible solution for eliminating energy poverty.

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Author Biographies

Mr. Sanjeev H. Kulkarni, Institute of Technology Belgaum under Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India

Mr. Sanjeev H. Kulkarni, corresponding author, is an assistant professor in the Department of Mechanical Engineering at K.L.S. Gogte
Institute of Technology Belgaum under Visvesvaraya Technological
University (VTU), Belagavi, Karnataka, India. He holds a bachelor’s
degree in mechanical engineering and has done his masters (M. Tech)
in Energy Systems Engineering. His fields of interest include renewable
energy systems, energy strategy and management, wind energy systems, fluids and biomass gasification. Email: khsanjeev77@gmail.com

Mr. Bhairu J. Jirage, Department of Mathematics at the K.L.S. Gogte Institute of Technology Belagavi, Karnataka, India

Mr. Bhairu J. Jirage is a faculty member in the Department of
Mathematics at the K.L.S. Gogte Institute of Technology Belagavi, Karnataka, India. He has done M.Sc from Karnataka University Dharwad
in the year 2009 and since then is in teaching profession His field of
interest includes Applied Mathematics and presently he is working on
Numerical Solutions of Hydrodynamic Lubrication (NSHL) as part of
his research work. E-mail: bjjirage@git.edu

Dr. T.R. Anil, Department of Mechanical Engineering at K.L.S. Gogte Institute of Technology, Belgaum, Karnataka, India

Dr. T.R. Anil is a professor in the Department of Mechanical Engineering at K.L.S. Gogte Institute of Technology, Belgaum, Karnataka,
India. His Ph.D. is in the area of producer gas carburetor under Visvesvaraya Technological University, Belagavi. Presently he is guiding
research students in the field of biomass gasification, turbochargers and
in the field of renewable energy. His fields of interest include biomass
gasification, fuels for IC Engines, renewable energy, etc. E-mail: tranil@
git.edu

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Published

2017-03-09

How to Cite

Kulkarni, M. S. H. ., Jirage, M. B. J. ., & Anil, D. T. . (2017). Alternative Energy Options for India— A Multi-criteria Decision Analysis to Rank Energy Alternatives using Analytic Hierarchy Process and Fuzzy Logic with an Emphasis to Distributed Generation. Distributed Generation &Amp; Alternative Energy Journal, 32(2), 29–55. https://doi.org/10.13052/dgaej2156-3306.3222

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