Artificial Neural Network Simulation of Energetic Performance for Sorption Thermal Energy Storage Reactors
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- Kuznik, Frédéric & Gondre, Damien & Johannes, Kévyn & Obrecht, Christian & David, Damien, 2020. "Sensitivity analysis of a zeolite energy storage model: Impact of parameters on heat storage density and discharge power density," Renewable Energy, Elsevier, vol. 149(C), pages 468-478.
- Kuznik, Frédéric & Gondre, Damien & Johannes, Kévyn & Obrecht, Christian & David, Damien, 2019. "Numerical modelling and investigations on a full-scale zeolite 13X open heat storage for buildings," Renewable Energy, Elsevier, vol. 132(C), pages 761-772.
- Johannes, Kévyn & Kuznik, Frédéric & Hubert, Jean-Luc & Durier, Francois & Obrecht, Christian, 2015. "Design and characterisation of a high powered energy dense zeolite thermal energy storage system for buildings," Applied Energy, Elsevier, vol. 159(C), pages 80-86.
- Scapino, Luca & Zondag, Herbert A. & Diriken, Jan & Rindt, Camilo C.M. & Van Bael, Johan & Sciacovelli, Adriano, 2019. "Modeling the performance of a sorption thermal energy storage reactor using artificial neural networks," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
- Fumey, B. & Weber, R. & Baldini, L., 2019. "Sorption based long-term thermal energy storage – Process classification and analysis of performance limitations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 57-74.
- Korhammer, Kathrin & Druske, Mona-Maria & Fopah-Lele, Armand & Rammelberg, Holger Urs & Wegscheider, Nina & Opel, Oliver & Osterland, Thomas & Ruck, Wolfgang, 2016. "Sorption and thermal characterization of composite materials based on chlorides for thermal energy storage," Applied Energy, Elsevier, vol. 162(C), pages 1462-1472.
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Keywords
sorption thermal energy storage; zeolite; artificial neural network; recurrent neural network;All these keywords.
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