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Multi-Criteria Decision Analysis for user satisfaction-induced demand-side load management for an institutional building

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  • Elavarasan, Rajvikram Madurai
  • Leoponraj, S.
  • Vishnupriyan, J.
  • Dheeraj, A.
  • Gangaram Sundar, G.

Abstract

The scope of this study is to present a suitable demand-side management technique to manage the load of a department in an educational institution located in Kanchipuram (12.9868° N, 79.9719° E), Tamil Nadu, India. The comfortable satisfaction level of the department is investigated on the basis of time and device preferences, and the absolute satisfaction of the user is evaluated. Demand-side management technique is incorporated to reduce the peak load. The optimized use of renewable energy with and without demand-side management strategy in grid-connected mode is analyzed. The feasibility study is accomplished by using HOMER simulation software for various configurations of renewable energy resources, such as solar photovoltaic, hydrogen fuel cell and backup facilities. The software simulation results indicated that the grid-connected solar and diesel generator system with demand-side management strategy is the suitable configuration in the view of economic perspective alone. However, when considering economic and environmental aspects, solar photovoltaic and grid configuration with demand-side management strategy proves to be effective. The Fuzzy-Analytical Hierarchy Process and Fuzzy-Technique for Order Preference by Similarity to Ideal Situation approaches are used to evaluate the best suitable configuration based on technical, economic and environmental perspectives. These approaches also inferred that a grid-connected photovoltaic system with demand-side management strategy is most suitable in all aspects of this case study. A sensitivity analysis is performed to examine the cost variation of the designed system concerning uncertain parameters which indicates that the obtained results are consistent.

Suggested Citation

  • Elavarasan, Rajvikram Madurai & Leoponraj, S. & Vishnupriyan, J. & Dheeraj, A. & Gangaram Sundar, G., 2021. "Multi-Criteria Decision Analysis for user satisfaction-induced demand-side load management for an institutional building," Renewable Energy, Elsevier, vol. 170(C), pages 1396-1426.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:1396-1426
    DOI: 10.1016/j.renene.2021.01.134
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    Citations

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    Cited by:

    1. Karthick Tamilarasu & Charles Raja Sathiasamuel & Jeslin Drusila Nesamalar Joseph & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2021. "Reinforced Demand Side Management for Educational Institution with Incorporation of User’s Comfort," Energies, MDPI, vol. 14(10), pages 1-22, May.
    2. Panah, Payam Ghaebi & Bornapour, Mosayeb & Hemmati, Reza & Guerrero, Josep M., 2021. "Charging station Stochastic Programming for Hydrogen/Battery Electric Buses using Multi-Criteria Crow Search Algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    3. Kamali Saraji, Mahyar & Aliasgari, Elahe & Streimikiene, Dalia, 2023. "Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    4. Venkatraman Indrajayanthan & Nalin Kant Mohanty & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2022. "Investigation on Current and Prospective Energy Transition Scenarios in Indian Landscape Using Integrated SWOT-MCDA Methodology," Sustainability, MDPI, vol. 14(9), pages 1-31, April.
    5. Nguyen, Hai-Tra & Safder, Usman & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy," Applied Energy, Elsevier, vol. 322(C).
    6. Zeng, Huibin & Shao, Bilin & Dai, Hongbin & Yan, Yichuan & Tian, Ning, 2023. "Natural gas demand response strategy considering user satisfaction and load volatility under dynamic pricing," Energy, Elsevier, vol. 277(C).

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