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Selection of Optimal Renewable Energy Resources Using TOPSIS-Z Methodology

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Book cover Advances in Communication and Computational Technology (ICACCT 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 668))

Abstract

An innovation of Renewable Energy (RE) sources promises to bring down costs and starts to deliver a clean energy future without compromising reliability. Renewable energy resource selection comes under the domain of multi-criteria decision making (MCDM) problem as it includes multi-conflicting criteria, namely social, technological, environmental, economic, and political. MCDM methodologies are used in order to select preferred alternative resources because of the presence of complexities in energy planning and energy projects. This paper presents an integrated TOPSIS-Z MCDM method for the selection of optimal RE. The pairwise decision matrix is formed by the decision-makers (DM), which is represented in the Z-number, and weights are evaluated. TOPSIS is used to evaluate and rank suitable RE sources. To validate the efficacy of the proposed methodology, Spearman’s Rank Correlation Coefficient (SRCC) is used and the proposed methodology is compared with various other MCDM methods such as ARAS, VIKOR, and COPRAS.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, India

    Nisha Rathore, Kumar Debasis & M. P. Singh

Authors
  1. Nisha Rathore
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  2. Kumar Debasis
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  3. M. P. Singh
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Corresponding author

Correspondence to Kumar Debasis .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Maryland Eastern Shore, Princess Anne, MD, USA

    Gurdeep Singh Hura

  2. Department of Master of Computer Applications, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Ashutosh Kumar Singh

  3. Department of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, Malaysia

    Lau Siong Hoe

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Rathore, N., Debasis, K., Singh, M.P. (2021). Selection of Optimal Renewable Energy Resources Using TOPSIS-Z Methodology. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_73

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  • DOI: https://doi.org/10.1007/978-981-15-5341-7_73

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5340-0

  • Online ISBN: 978-981-15-5341-7

  • eBook Packages: EngineeringEngineering (R0)

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