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A framework for techno-economic assessment of demand-side power-to-heat solutions in low-temperature district heating
Wang, J., Cai, H., You, S., Zong, Y., Zhang, C., & Træholt, C. (2020). A framework for techno-economic assessment of demand-side power-to-heat solutions in low-temperature district heating. International Journal of Electrical Power and Energy Systems, 122, 106096 (13 pp.). https://doi.org/10.1016/j.ijepes.2020.106096
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
A review on country specific data availability and acquisition techniques for city quarter information modelling for building energy analysis
Malhotra, A., Bischof, J., Allan, J., O’ Donnell, J., Schwengler, T., Benner, J., & Schweiger, G. (2020). A review on country specific data availability and acquisition techniques for city quarter information modelling for building energy analysis. In M. Monsberger, C. J. Hopfe, M. Krüger, & A. Passer (Eds.), 8th conference of IBPSA Germany and Austria. Proceedings. BauSIM 2020 (pp. 543-549). https://doi.org/10.3217/978-3-85125-786-1-65
Auge de las energías renovables en las ciudades. Soluciones energéticas para el futuro urbano
Gielen, D., Chen, Y., Schnyder, E., Potter, J., Yazdanie, M., Marquant, J., … Gilmanova, A. (2020). Auge de las energías renovables en las ciudades. Soluciones energéticas para el futuro urbano. Agencia Internacional de Energías Renovables (IRENA).
Concept for next generation of technical energy regulations in buildings
Sulzer, M., Orehounig, K., Knoeri, C., & Niffeler, M. (2020). Concept for next generation of technical energy regulations in buildings. In H. Wallbaum, A. Hollberg, L. Thuvander, P. Femenias, I. Kurkowska, K. Mjornell, & C. Fudge (Eds.), IOP conference series: earth and environmental science: Vol. 588. World sustainable built environment (p. 022022 (8 pp.). https://doi.org/10.1088/1755-1315/588/2/022022
Development of algorithms for building energy efficiency
Serale, G., Fiorentini, M., & Noussan, M. (2020). Development of algorithms for building energy efficiency. In F. Pacheco-Torgal, E. Rasmussen, C. G. Granqvist, V. Ivanov, A. Kaklauskas, & S. Makonin (Eds.), Woodhead publishing series in civil and structural engineering. Start-up creation. The smart eco-efficient built environment (pp. 267-290). https://doi.org/10.1016/B978-0-12-819946-6.00011-4
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.
Energy efficiency in buildings
Streicher, K. N., Allan, J., Murray, P., Bollinger, A., & Marcucci, A. (2020). Energy efficiency in buildings. Joint Activity Scenarios and Modelling; Empa.
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
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
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
Frequency regulation with heat pumps using robust MPC with affine policies
Bünning, F., Warrington, J., Heer, P., Smith, R. S., & Lygeros, J. (2020). Frequency regulation with heat pumps using robust MPC with affine policies. In R. Findeisen, S. Hirche, K. Janschek, & M. Mönnigmann (Eds.), IFAC-PapersOnline: Vol. 53. 21st IFAC World Congress 2020 (pp. 13210-13215). https://doi.org/10.1016/j.ifacol.2020.12.147
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
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
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
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
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.
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
On the impact of internal gains and comfort band on the effectiveness of building thermal zoning
Fiorentini, M., Ledo Gomis, L., Chen, D., & Cooper, P. (2020). On the impact of internal gains and comfort band on the effectiveness of building thermal zoning. Energy and Buildings, 225, 110320 (10 pp.). https://doi.org/10.1016/j.enbuild.2020.110320
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