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IJEETC 2024 Vol.13(2): 98-111
doi: 10.18178/ijeetc.13.2.98-111

Towards Efficient Energy Solutions: MCDA-Driven Selection of Hybrid Renewable Energy Systems

Vasupalli Manoj1,*, Ramana Pilla1, Y. Narendra Kumar2, Chetna Sinha3, Somarouthu V. G. V. A. Prasad4, M.Kalyan Chakravarthi5, and Krishna Koushik Bhogi1
1. Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India
2. Department of Electrical and Electronics Engineering, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India
3. School of Humanities, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, India
4. Department of Physics and Electronics, Pithapur Rajah’s Government College (A), Kakinada, Andhra Pradesh, India
5. School of Electronics Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, India
Email: manoj.v@gmrit.edu.in (V.M.), ramana.pilla@gmrit.edu.in (R.P.), narenyegireddy@gmail.com (Y.N.K.), chetna.sinhafhu@kiit.ac.in (C.S), somarouthu13@yahoo.co.in (S.V.G.V.A.P.), kalyanchakravarthi.m@vitap.ac.in (M.K.C.), bhogikoushik@gmail.com (K.K.B.)
*Corresponding author

Manuscript received September 4, 2023; revised November 3, 2023; accepted December 6, 2023.

Abstract—In these days of growing awareness on Renewable Energy Sources and their benefits, there is a major issue that needs to be considered, which is selection of suitable Hybrid Renewable Energy System (HRES) among the vast multitude of choices. In this paper, multiple Multi Criteria Decision Analysis (MCDA) techniques are proposed to select the best among a choice of six HRES Systems using different criteria including but not limited to net present cost (NPC), operating cost, renewability fraction, CO2 & NOx emissions etc. The criteria weights are obtained using Analytical Hierarchy Process (AHP) based on the preference order of the criteria. The decision matrix is obtained from the statistical data of the different HRES and using different MCDA techniques such as Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), rankings are given to the HRES systems based on their closeness to the ideal solution. These rankings are helpful in the selection of suitable HRES configuration for normal household purposes. Since cost aspects are given greater preference, the obtained rankings lean more towards economically affordable solutions without compromising on the number of units generated.

 
Index Terms—Hybrid Renewable Energy System (HRES), Multi Criteria Decision Analysis (MCDA), Analytical Hierarchy Process (AHP), Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)

Cite: Vasupalli Manoj, Ramana Pilla, Y. Narendra Kumar, Chetna Sinha, Somarouthu V. G. V. A. Prasad, M. Kalyan Chakravarthi, and Krishna Koushik Bhogi, "Towards Efficient Energy Solutions: MCDA-Driven Selection of Hybrid Renewable Energy Systems," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 13, No. 2, pp. 98-111, 2024. doi: 10.18178/ijeetc.13.2.98-111

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.