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Selection of features for analysis of reliability of performance in hydropower plants: a multi-criteria decision making approach

Author

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  • Priyanka Majumder

    (National Institute of Technology)

  • Mrinmoy Majumder

    (National Institute of Technology)

  • Apu Kumar Saha

    (National Institute of Technology)

  • Soumitra Nath

    (Techno College of Engineering Agartala)

Abstract

Hydropower is one of the most reliable and inexpensive forms of renewable energy that has maximum potential to replace conventional energy resources. However, due to the variations in climatic parameters along with the increased rate of urbanization, the reliability of hydropower plant in satisfying the increased demand requires additional measures which upsurges the operational expenditure. As a consequence, smart mitigation techniques are required to be adopted which can identify the trade-off between optimization of power production considering economic constraints, climatic variability and increased demand. This paper aims at proposing an intelligent mitigation measure to control the trade-off with the help of some group of indicators which have the maximum impact on production reliability of a power plant. This significance-based parameter modification entails recognition of the indicators and their significance in controlling reliability of a hydropower plant with the help of objective decision making methods and validating the selection by laboratory-based physical models as well as real-life case studies. A number of multi-criteria decision making methods which were popular in the identification of best decision out of many options were utilized in the detection of the significant indicators and their importance where the ensembled output from multiple multi-criteria decision making methods was used to detect the priority indicators and their priority. The results were validated by the physical replication of a hydropower plant which seconded the output from the decision making techniques. According to the results, the efficiency of the prime mover and the generators was found to be most substantial in regulating the reliability of the plant production. The physical model and real-life scenario both supported the selection.

Suggested Citation

  • Priyanka Majumder & Mrinmoy Majumder & Apu Kumar Saha & Soumitra Nath, 2020. "Selection of features for analysis of reliability of performance in hydropower plants: a multi-criteria decision making approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3239-3265, April.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:4:d:10.1007_s10668-019-00343-2
    DOI: 10.1007/s10668-019-00343-2
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    Cited by:

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    2. B. Igliński & M. Skrzatek & W. Kujawski & M. Cichosz & R. Buczkowski, 2022. "SWOT analysis of renewable energy sector in Mazowieckie Voivodeship (Poland): current progress, prospects and policy implications," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 77-111, January.
    3. Aldemar Leguizamon-Perilla & Juan S. Rodriguez-Bernal & Laidi Moralez-Cruz & Nidia Isabel Farfán-Martinez & César Nieto-Londoño & Rafael E. Vásquez & Ana Escudero-Atehortua, 2023. "Digitalisation and Modernisation of Hydropower Operating Facilities to Support the Colombian Energy Mix Flexibility," Energies, MDPI, vol. 16(7), pages 1-17, March.
    4. Hasan Eroğlu, 2021. "Multi-criteria decision analysis for wind power plant location selection based on fuzzy AHP and geographic information systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18278-18310, December.

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