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  • (-) Organizational Unit = 313 Urban Energy Systems
  • (-) Publication Year = 2020 - 2020
  • (-) Empa Authors ≠ Huber, Benjamin
  • (-) Keywords ≠ error autocorrelation
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Speed-optimized simulation models for rapid performance evaluation of heating and energy management systems
Allan, J., Boegli, M., Bollinger, A., Alet, P. J., & Wiget, M. (2020). Speed-optimized simulation models for rapid performance evaluation of heating and energy management systems. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Proceedings of the international building performance simulation association: Vol. 16. Proceedings of building simulation 2019: 16th conference of IBPSA (pp. 3668-3675). Rome: International Building Performance Simulation Association (IBPSA).
How weather affects energy demand variability in the transition towards sustainable heating
Eggimann, S., Usher, W., Eyre, N., & Hall, J. W. (2020). How weather affects energy demand variability in the transition towards sustainable heating. Energy, 195, 116947 (11 pp.). https://doi.org/10.1016/j.energy.2020.116947
Water transport in aqueous sodium hydroxide films for liquid sorption heat storage
Fumey, B., Baldini, L., & Borgschulte, A. (2020). Water transport in aqueous sodium hydroxide films for liquid sorption heat storage. Energy Technology, 2000187 (8 pp.). https://doi.org/10.1002/ente.202000187
A moment and sum-of-squares extension of dual dynamic programming with application to nonlinear energy storage problems
Hohmann, M., Warrington, J., & Lygeros, J. (2020). A moment and sum-of-squares extension of dual dynamic programming with application to nonlinear energy storage problems. European Journal of Operational Research, 283(1), 16-32. https://doi.org/10.1016/j.ejor.2019.10.041
Evaluation of the humidity performance of a carbon dioxide (CO<sub>2</sub>) capture device as a novel ventilation strategy in buildings
Kim, M. K., Baldini, L., Leibundgut, H., & Wurzbacher, J. A. (2020). Evaluation of the humidity performance of a carbon dioxide (CO2) capture device as a novel ventilation strategy in buildings. Applied Energy, 259, 112869 (11 pp.). https://doi.org/10.1016/j.apenergy.2019.03.074
Optimal transformation strategies for buildings, neighbourhoods and districts to reach CO<sub>2</sub> emission reduction targets
Murray, P., Marquant, J., Niffeler, M., Mavromatidis, G., & Orehounig, K. (2020). Optimal transformation strategies for buildings, neighbourhoods and districts to reach CO2 emission reduction targets. Energy and Buildings, 207, 109569 (34 pp.). https://doi.org/10.1016/j.enbuild.2019.109569
Introducing reinforcement learning to the energy system design process
Perera, A. T. D., Wickramasinghe, P. U., Nik, V. M., & Scartezzini, J. L. (2020). Introducing reinforcement learning to the energy system design process. Applied Energy, 262, 114580 (14 pp.). https://doi.org/10.1016/j.apenergy.2020.114580
Quantifying the impacts of climate change and extreme climate events on energy systems
Perera, A. T. D., Nik, V. M., Chen, D., Scartezzini, J. L., & Hong, T. (2020). Quantifying the impacts of climate change and extreme climate events on energy systems. Nature Energy, 5(2), 150-159. https://doi.org/10.1038/s41560-020-0558-0
SHED Swiss Hub for Energy Data. Teil einer nationalen Energie-Dateninfrastruktur und Wegbereiter für Energiestrategie 2050, Klimaschutz und digitale Innovationen
Petry, J., Holdener, M., Sulzer, M., & Werlen, K. (2020). SHED Swiss Hub for Energy Data. Teil einer nationalen Energie-Dateninfrastruktur und Wegbereiter für Energiestrategie 2050, Klimaschutz und digitale Innovationen (Report No.: SI/501857-01). sine loco: sine nomine.
The reservoir network: a new network topology for district heating and cooling
Sommer, T., Sulzer, M., Wetter, M., Sotnikov, A., Mennel, S., & Stettler, C. (2020). The reservoir network: a new network topology for district heating and cooling. Energy, 199, 117418 (13 pp.). https://doi.org/10.1016/j.energy.2020.117418