Publications 2022

Allan, J.; Croce, L.; Dott, R.; Georges, G.; Heer, P. Calculating the heat loss coefficients for performance modelling of seasonal ice thermal storage. J. Energy Storage 2022, 52, 104528 (9 pp.). https://doi.org/10.1016/j.est.2022.104528
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Bordignon, S.; Quaggiotto, D.; Vivian, J.; Emmi, G.; De Carli, M.; Zarrella, A. A solar-assisted low-temperature district heating and cooling network coupled with a ground-source heat pump. Energy Convers. Manag. 2022, 267, 115838 (11 pp.). https://doi.org/10.1016/j.enconman.2022.115838
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Borgschulte, A.; Terreni, J.; Fumey, B.; Sambalova, O.; Billeter, E. Short-lived interfaces in energy materials. Front. Energy Res. 2022, 9, 784082 (13 pp.). https://doi.org/10.3389/fenrg.2021.784082
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Brandi, S.; Fiorentini, M.; Capozzoli, A. Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management. Autom. Constr. 2022, 135, 104128 (15 pp.). https://doi.org/10.1016/j.autcon.2022.104128
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Bünning, F.; Huber, B.; Schalbetter, A.; Aboudonia, A.; Hudoba de Badyn, M.; Heer, P.; Smith, R. S.; Lygeros, J. Physics-informed linear regression is competitive with two machine learning methods in residential building MPC. Appl. Energy 2022, 310, 118491 (14 pp.). https://doi.org/10.1016/j.apenergy.2021.118491
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Bünning, F.; Warrington, J.; Heer, P.; Smith, R. S.; Lygeros, J. Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps. Control Eng. Pract. 2022, 122, 105101 (14 pp.). https://doi.org/10.1016/j.conengprac.2022.105101
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Di Natale, L.; Svetozarevic, B.; Heer, P.; Jones, C. N. Near-optimal deep reinforcement learning policies from data for zone temperature control. In 2022 IEEE 17th international conference on control and automation (ICCA), presented at the 2022 IEEE 17th international conference on control and automation (ICCA), Naples, Italy, June 27-30, 2022; IEEE international conference on control and automation; IEEE: Piscataway, 2022; pp 698-703. https://doi.org/10.1109/ICCA54724.2022.9831914
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Di Natale, L.; Svetozarevic, B.; Heer, P.; Jones, C. N. Physically consistent neural networks for building thermal modeling: theory and analysis. Appl. Energy 2022, 325, 119806 (17 pp.). https://doi.org/10.1016/j.apenergy.2022.119806
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Eggimann, S. Expanding urban green space with superblocks. Land Use Policy 2022, 117, 106111 (9 pp.). https://doi.org/10.1016/j.landusepol.2022.106111
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Eggimann, S.; Vulic, N.; Rüdisüli, M.; Mutschler, R.; Orehounig, K.; Sulzer, M. Spatiotemporal upscaling errors of building stock clustering for energy demand simulation. Energy Build. 2022, 258, 111844 (17 pp.). https://doi.org/10.1016/j.enbuild.2022.111844
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Eggimann, S. The potential of implementing superblocks for multifunctional street use in cities. Nat. Sustain. 2022, 5, 406-414. https://doi.org/10.1038/s41893-022-00855-2
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Fiorentini, M.; Vivian, J.; Heer, P.; Baldini, L. Design and optimal integration of seasonal borehole thermal energy storage in district heating and cooling networks. In CLIMA 2022. Eye on 2030. Towards digizalized, healthy, circular and energy efficient HVAC. Proceedings, presented at the CLIMA 2022. REHVA 14th HVAC world congress, Rotterdam, May 22-25, 2022; TU Delft OPEN: Delft, 2022; p (8 pp.). https://doi.org/10.34641/clima.2022.64
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Fu, Y.; Zhou, T.; Lun, I.; Khayatian, F.; Deng, W.; Su, W. A data-driven approach for window opening predictions in non-air-conditioned buildings. Intell. Build. Int. 2022, 14 (3), 329-345. https://doi.org/10.1080/17508975.2021.1963651
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Fumey, B.; Borgschulte, A.; Stoller, S.; Fricker, R.; Knechtle, R.; Kaestner, A.; Trtik, P.; Baldini, L. Enhanced gas-liquid absorption through natural convection studied by neutron imaging. Int. J. Heat Mass Transf. 2022, 182, 121967 (11 pp.). https://doi.org/10.1016/j.ijheatmasstransfer.2021.121967
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Gautier, A.; Wetter, M.; Sulzer, M. Resilient cooling through geothermal district energy system. Appl. Energy 2022, 325, 119880 (17 pp.). https://doi.org/10.1016/j.apenergy.2022.119880
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Hadengue, B.; Morgenroth, E.; Larsen, T. A.; Baldini, L. Performance and dynamics of active greywater heat recovery in buildings. Appl. Energy 2022, 305, 117677 (13 pp.). https://doi.org/10.1016/j.apenergy.2021.117677
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Heymann, F.; Rüdisüli, M.; vom Scheidt, F.; Camanho, A. S. Performance benchmarking of power-to-gas plants using composite indicators. Int. J. Hydrog. Energy 2022, 47 (58), 24465-24480. https://doi.org/10.1016/j.ijhydene.2021.10.189
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Koirala, B.; Mutschler, R.; Bartolini, A.; Bollinger, A.; Orehounig, K. Flexibility assessment of e-mobilty in multi-energy districts. In CIRED Porto workshop 2022: E-mobility and power distribution systems, presented at the CIRED workshop on E-mobility and power distribution systems, Porto, Portugal, June 2-3, 2022; The Institution of Engineering and Technology: sine loco, 2022; Vol. CP798, p 367 (5 pp.). https://doi.org/10.1049/icp.2022.0827
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Lefebure, N.; Khosravi, M.; Hudobade Badyn, M.; Bünning, F.; Lygeros, J.; Jones, C.; Smith, R. S. Distributed model predictive control of buildings and energy hubs. Energy Build. 2022, 259, 111806 (14 pp.). https://doi.org/10.1016/j.enbuild.2021.111806
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Li, R.; Leng, Z.; Li, G.; Yang, B.; Lu, G. Effects of aging on rheological, chemical, and micromechanical properties of waterborne epoxy resin modified bitumen emulsion. Int. J. Pavement Eng. 2022. https://doi.org/10.1080/10298436.2022.2077943
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Malhotra, A.; Bischof, J.; Nichersu, A.; Häfele, K. H.; Exenberger, J.; Sood, D.; Allan, J.; Frisch, J.; van Treeck, C.; O'Donnell, J.; et al. Information modelling for urban building energy simulation—a taxonomic review. Build. Environ. 2022, 208, 108552 (18 pp.). https://doi.org/10.1016/j.buildenv.2021.108552
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Mehmood, F.; Umar, M.; Dominguez, C.; Kazmi, H. The role of residential distributed energy resources in Pakistan's energy transition. Energy Policy 2022, 167, 113054 (15 pp.). https://doi.org/10.1016/j.enpol.2022.113054
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Petkov, I.; Mavromatidis, G.; Knoeri, C.; Allan, J.; Hoffmann, V. H. MANGOret: an optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits. Appl. Energy 2022, 314, 118901 (32 pp.). https://doi.org/10.1016/j.apenergy.2022.118901
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Prataviera, E.; Vivian, J.; Lombardo, G.; Zarrella, A. Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis. Appl. Energy 2022, 311, 118691 (19 pp.). https://doi.org/10.1016/j.apenergy.2022.118691
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Rüdisüli, M.; Romano, E.; Eggimann, S.; Patel, M. K. Decarbonization strategies for Switzerland considering embedded greenhouse gas emissions in electricity imports. Energy Policy 2022, 162, 112794 (15 pp.). https://doi.org/10.1016/j.enpol.2022.112794
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Rüdisüli, M.; Bach, C.; Bauer, C.; Beloin-Saint-Pierre, D.; Elber, U.; Georges, G.; Limpach, R.; Pareschi, G.; Kannan, R.; Teske, S. L. Prospective life-cycle assessment of greenhouse gas emissions of electricity-based mobility options. Appl. Energy 2022, 306, 118065 (20 pp.). https://doi.org/10.1016/j.apenergy.2021.118065
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Silva, R.; Eggimann, S.; Fierz, L.; Fiorentini, M.; Orehounig, K.; Baldini, L. Opportunities for passive cooling to mitigate the impact of climate change in Switzerland. Build. Environ. 2022, 208, 108574 (19 pp.). https://doi.org/10.1016/j.buildenv.2021.108574
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Sommer, T.; Sotnikov, A.; Sulzer, M.; Scholz, V.; Mischler, S.; Rismanchi, B.; Gjoka, K.; Mennel, S. Hydrothermal challenges in low-temperature networks with distributed heat pumps. Energy 2022, 257, 124527 (16 pp.). https://doi.org/10.1016/j.energy.2022.124527
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Svetozarevic, B.; Baumann, C.; Muntwiler, S.; Di Natale, L.; Zeilinger, M. N.; Heer, P. Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments. Appl. Energy 2022, 307, 118127 (16 pp.). https://doi.org/10.1016/j.apenergy.2021.118127
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Vivian, J.; Croci, L.; Zarrella, A. Experimental tests on the performance of an economic model predictive control system in a lightweight building. Appl. Therm. Eng. 2022, 213, 118693 (14 pp.). https://doi.org/10.1016/j.applthermaleng.2022.118693
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Vivian, J.; Chinello, M.; Zarrella, A.; De Carli, M. Investigation on individual and collective PV self-consumption for a fifth generation district heating network. Energies 2022, 15 (3), 1022 (16 pp.). https://doi.org/10.3390/en15031022
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