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A solid thermal storage model for the optimization of buildings operation strategy

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  • Fazlollahi, Samira
  • Schüler, Nils
  • Maréchal, François

Abstract

With an increasing fluctuation of energy supply due to the integration of renewable energy utilities peak-shaving becomes more and more important. Storage systems are a considerable option for this purpose. For the heat supply in cities the buildings themselves can be employed as solid thermal energy storages utilizing their thermal inertia and applying an operation strategy which takes into account comfort, economic and ecologic considerations.

Suggested Citation

  • Fazlollahi, Samira & Schüler, Nils & Maréchal, François, 2015. "A solid thermal storage model for the optimization of buildings operation strategy," Energy, Elsevier, vol. 88(C), pages 209-222.
    • Handle: RePEc:eee:energy:v:88:y:2015:i:c:p:209-222
    DOI: 10.1016/j.energy.2015.04.085
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    References listed on IDEAS

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    1. Girardin, Luc & Marechal, François & Dubuis, Matthias & Calame-Darbellay, Nicole & Favrat, Daniel, 2010. "EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas," Energy, Elsevier, vol. 35(2), pages 830-840.
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    4. Tatsidjodoung, Parfait & Le Pierrès, Nolwenn & Luo, Lingai, 2013. "A review of potential materials for thermal energy storage in building applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 327-349.
    5. Parameshwaran, R. & Kalaiselvam, S. & Harikrishnan, S. & Elayaperumal, A., 2012. "Sustainable thermal energy storage technologies for buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2394-2433.
    6. Gil, Antoni & Medrano, Marc & Martorell, Ingrid & Lázaro, Ana & Dolado, Pablo & Zalba, Belén & Cabeza, Luisa F., 2010. "State of the art on high temperature thermal energy storage for power generation. Part 1--Concepts, materials and modellization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 31-55, January.
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    Cited by:

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    2. Granacher, Julia & Nguyen, Tuong-Van & Castro-Amoedo, Rafael & Maréchal, François, 2022. "Overcoming decision paralysis—A digital twin for decision making in energy system design," Applied Energy, Elsevier, vol. 306(PA).
    3. Aoun, Nadine & Bavière, Roland & Vallée, Mathieu & Aurousseau, Antoine & Sandou, Guillaume, 2019. "Modelling and flexible predictive control of buildings space-heating demand in district heating systems," Energy, Elsevier, vol. 188(C).
    4. Saletti, Costanza & Zimmerman, Nathan & Morini, Mirko & Kyprianidis, Konstantinos & Gambarotta, Agostino, 2021. "Enabling smart control by optimally managing the State of Charge of district heating networks," Applied Energy, Elsevier, vol. 283(C).
    5. Bertrand, Alexandre & Mastrucci, Alessio & Schüler, Nils & Aggoune, Riad & Maréchal, François, 2017. "Characterisation of domestic hot water end-uses for integrated urban thermal energy assessment and optimisation," Applied Energy, Elsevier, vol. 186(P2), pages 152-166.

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