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Analysis strategy for multi-criteria optimization: Application to inter-seasonal solar heat storage for residential building needs

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  • Launay, S.
  • Kadoch, B.
  • Le Métayer, O.
  • Parrado, C.

Abstract

As energetic systems become more and more complex, it is necessary to develop strategies for analyzing the influence of the parameters as well as their couplings. This approach is even unavoidable when the optimization procedure is based on multi-criteria. In the present work, we propose an analysis strategy for multi-criteria optimization applied to inter-seasonal solar heat storage for residential building energy needs, including heating and domestic hot water. The modeling is based on simplified equations of the components, while keeping the main physical and coupling phenomena. A sensitivity study is applied to the corresponding energetic system in order to identify the most relevant parameters and couplings interacting on the various output objectives. Several simulations are performed to investigate a multi-objective optimization and various figure representations are presented to refine the analysis.

Suggested Citation

  • Launay, S. & Kadoch, B. & Le Métayer, O. & Parrado, C., 2019. "Analysis strategy for multi-criteria optimization: Application to inter-seasonal solar heat storage for residential building needs," Energy, Elsevier, vol. 171(C), pages 419-434.
  • Handle: RePEc:eee:energy:v:171:y:2019:i:c:p:419-434
    DOI: 10.1016/j.energy.2018.12.181
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    Cited by:

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    2. Cuny, Mathias & Lapertot, Arnaud & Lin, Jian & Kadoch, Benjamin & Le Metayer, Olivier, 2020. "Multi-criteria optimization of an earth-air heat exchanger for different French climates," Renewable Energy, Elsevier, vol. 157(C), pages 342-352.
    3. Mrówczyńska, M. & Skiba, M. & Sztubecka, M. & Bazan-Krzywoszańska, A. & Kazak, J.K. & Gajownik, P., 2021. "Scenarios as a tool supporting decisions in urban energy policy: The analysis using fuzzy logic, multi-criteria analysis and GIS tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    4. Mansoor, Muhammad & Stadler, Michael & Zellinger, Michael & Lichtenegger, Klaus & Auer, Hans & Cosic, Armin, 2021. "Optimal planning of thermal energy systems in a microgrid with seasonal storage and piecewise affine cost functions," Energy, Elsevier, vol. 215(PA).
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    6. Pochwat, Kamil & Kordana, Sabina & Starzec, Mariusz & Słyś, Daniel, 2019. "Comparison of two-prototype near-horizontal Drain Water Heat Recovery units on the basis of effectiveness," Energy, Elsevier, vol. 173(C), pages 1196-1207.
    7. Keiner, Dominik & Thoma, Christian & Bogdanov, Dmitrii & Breyer, Christian, 2023. "Seasonal hydrogen storage for residential on- and off-grid solar photovoltaics prosumer applications: Revolutionary solution or niche market for the energy transition until 2050?," Applied Energy, Elsevier, vol. 340(C).

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