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  • (-) Empa Laboratories = 313 Urban Energy Systems
  • (-) Publication Year = 2020
  • (-) Keywords ≠ Artificial Neural Networks
  • (-) Empa Authors ≠ Fiorentini, Massimo
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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
Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings
Bünning, F., Huber, B., Heer, P., Aboudonia, A., & Lygeros, J. (2020). Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings. Energy and Buildings, 211, 109792 (8 pp.). https://doi.org/10.1016/j.enbuild.2020.109792
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
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
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 nomine.
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
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
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, 8(7), 2000187 (8 pp.). https://doi.org/10.1002/ente.202000187
Seasonal energy flexibility through integration of liquid sorption storage in buildings
Baldini, L., & Fumey, B. (2020). Seasonal energy flexibility through integration of liquid sorption storage in buildings. Energies, 13(11), 2944 (13 pp.). https://doi.org/10.3390/en13112944
Unsupervised learning for feature projection: extracting patterns from multidimensional building measurements
Xiao, C., Khayatian, F., & Dall'O', G. (2020). Unsupervised learning for feature projection: extracting patterns from multidimensional building measurements. Energy and Buildings, 224, 110228 (18 pp.). https://doi.org/10.1016/j.enbuild.2020.110228
Multi-objective optimisation of power-to-mobility in decentralised multi-energy systems
Murray, P., Carmeliet, J., & Orehounig, K. (2020). Multi-objective optimisation of power-to-mobility in decentralised multi-energy systems. Energy, 205, 117792 (15 pp.). https://doi.org/10.1016/j.energy.2020.117792
Paradigm shifts for the Swiss building sector to shape the future energy system
Sulzer, M. (2020). Paradigm shifts for the Swiss building sector to shape the future energy system. Swiss Competence Center for Energy Research.
Integrated platform to design robust energy internet
Wang, Z., & Perera, A. T. D. (2020). Integrated platform to design robust energy internet. Applied Energy, 269, 114942 (12 pp.). https://doi.org/10.1016/j.apenergy.2020.114942
Komplexität ist die neue Einfachheit. Wie Sektorenkopplung und Netzkonvergenz zu eleganten Lösungen führen
Sulzer, M., Orehounig, K., & Bollinger, A. (2020). Komplexität ist die neue Einfachheit. Wie Sektorenkopplung und Netzkonvergenz zu eleganten Lösungen führen. Aqua & Gas, 100(9), 23-28.
Energy-efficient mitigation measures for improving indoor thermal comfort during heat waves
Zhou, X., Carmeliet, J., Sulzer, M., & Derome, D. (2020). Energy-efficient mitigation measures for improving indoor thermal comfort during heat waves. Applied Energy, 278, 115620 (13 pp.). https://doi.org/10.1016/j.apenergy.2020.115620
ReMaP: Forschungsplattform für Multienergiesysteme
Boulouchos, K., Brenzikofer, A., Demiray, T., von Euw, M., Flamm, B., Haselbacher, A., … Ulbig, A. (2020). ReMaP: Forschungsplattform für Multienergiesysteme. Aqua & Gas, 100(9), 14-21.
Energieeffizienz – best in class
Sulzer, M. (2020). Energieeffizienz – best in class. In Zug Estates AG (Ed.), Suurstoffi - Eine Quartierentwicklung in Rotkreuz (pp. 156-157). Zug Estates AG.
Improving energy sustainability of suburban areas by using distributed energy systems: a case study
Muriel, B., Perera, A. T. D., Hanmin, C., Bollinger, A., & Orehounig, K. (2020). Improving energy sustainability of suburban areas by using distributed energy systems: a case study. In Proceedings: Vol. 58. The first world energies forum - current and future energy issues (p. 7 (7 pp.). https://doi.org/10.3390/WEF-06918