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Why we need a testbed for black-box optimization algorithms in building simulation
Waibel, C., Wortmann, T., Mavromatidis, G., Evins, R., & Carmeliet, J. (2019). Why we need a testbed for black-box optimization algorithms in building simulation. 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. 2909-2917). https://doi.org/10.26868/25222708.2019.210621
Towards a DESTEST: a district energy simulation test developed in IBPSA project 1
Saelens, D., De Jaeger, I., Bünning, F., Mans, M., Vandermeulen, A., van der Heijde, B., … Helsen, L. (2019). Towards a DESTEST: a district energy simulation test developed in IBPSA project 1. 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. 3569-3576). https://doi.org/10.26868/25222708.2019.210806
Thermal stability and heat transfer in the reservoir low-temperature network
Sotnikov, A., Sandmeier, E., Sulzer, M., Sergi, T., Mennel, S., & Sommer, T. (2019). Thermal stability and heat transfer in the reservoir low-temperature network. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 1343. CISBAT 2019 international conference on climate resilient cities - energy efficiency & renewables in the digital era (p. 012113 (6 pp.). https://doi.org/10.1088/1742-6596/1343/1/012113
Ten questions concerning modeling of distributed multi-energy systems
Mavromatidis, G., Orehounig, K., Bollinger, L. A., Hohmann, M., Marquant, J. F., Miglani, S., … Carmeliet, J. (2019). Ten questions concerning modeling of distributed multi-energy systems. Building and Environment, 165, 106372 (22 pp.). https://doi.org/10.1016/j.buildenv.2019.106372
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. (2019). 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). https://doi.org/10.26868/25222708.2019.210997
Sorption based long-term thermal energy storage – process classification and analysis of performance limitations: a review
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, 111, 57-74. https://doi.org/10.1016/j.rser.2019.05.006
Sensitivity analysis of data-driven building energy demand forecasts
Bünning, F., Heer, P., Smith, R. S., & Lygeros, J. (2019). Sensitivity analysis of data-driven building energy demand forecasts. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 1343. CISBAT 2019 international conference on climate resilient cities - energy efficiency & renewables in the digital era (p. 012062 (6 pp.). https://doi.org/10.1088/1742-6596/1343/1/012062
Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis
Gabrielli, P., Fürer, F., Mavromatidis, G., & Mazzotti, M. (2019). Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis. Applied Energy, 238, 1192-1210. https://doi.org/10.1016/j.apenergy.2019.01.064
Potentialanalyse Power-to-Gas in der Schweiz. Betrachtungen zu Technologien, CO<sub>2</sub>, Standorten, Elektrizität, Wirtschaftlichkeit und Einsatz in der Mobilität
Teske, S. L., Rüdisüli, M., Bach, C., & Schildhauer, T. (2019). Potentialanalyse Power-to-Gas in der Schweiz. Betrachtungen zu Technologien, CO2, Standorten, Elektrizität, Wirtschaftlichkeit und Einsatz in der Mobilität. https://doi.org/10.5281/zenodo.2649817
Perspectives of power-to-X technologies in Switzerland. A white paper
Bach, C., Beuse, M., Georges, G., Held, M., Heselhaus, S., Korba, P., … Teske, S. L. (2019). Perspectives of power-to-X technologies in Switzerland. A white paper. (T. Kober & C. Bauer, Eds.) (2nd ed.). https://doi.org/10.3929/ethz-b-000352294
Optimization-based planning of local energy systems - bridging the research-practice gap
Andrew Bollinger, L., Marquant, J., & Sulzer, M. (2019). Optimization-based planning of local energy systems - bridging the research-practice gap. In A. Passer, T. Lützkendorf, G. Habert, H. Kromp-Kolb, & M. Monsberger (Eds.), IOP conference series: earth and environmental science: Vol. 323. SBE19 Graz. Sustainable built environment D-A-CH conference 2019. Transition towards a net zero carbon built environment (p. 012077 (10 pp.). https://doi.org/10.1088/1755-1315/323/1/012077
Optimization of low-temperature networks by new hydraulic concepts
Sommer, T., Sotnikov, A., Sandmeier, E., Stettler, C., Mennel, S., & Sulzer, M. (2019). Optimization of low-temperature networks by new hydraulic concepts. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 1343. CISBAT 2019 international conference on climate resilient cities - energy efficiency & renewables in the digital era (p. 012112 (6 pp.). https://doi.org/10.1088/1742-6596/1343/1/012112
Optimal vehicle selection in the design of urban energy systems: an integration of the private transport and building energy sectors
Murray, P., Orehounig, K., & Carmeliet, J. (2019). Optimal vehicle selection in the design of urban energy systems: an integration of the private transport and building energy sectors. 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. 3094-3102). https://doi.org/10.26868/25222708.2019.211291
Optimal retrofitting measures for residential buildings at large scale: a multi-objective approach
Murray, P., Niffeler, M., Mavromatidis, G., & Orehounig, K. (2019). Optimal retrofitting measures for residential buildings at large scale: a multi-objective approach. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Proceedings of building simulation 2019: 16th conference of IBPSA: Vol. 16. Proceedings of building simulation 2019: 16th conference of IBPSA (pp. 3742-3748). https://doi.org/10.26868/25222708.2019.211233
Optimal linearizations of power systems with uncertain supply and demand
Hohmann, M., Warrington, J., & Lygeros, J. (2019). Optimal linearizations of power systems with uncertain supply and demand. IEEE Transactions on Power Systems, 34(2), 1504-1512. https://doi.org/10.1109/TPWRS.2018.2878009
Optimal design of multi-energy systems at different degrees of decentralization
Murray, P., Orehounig, K., & Carmeliet, J. (2019). Optimal design of multi-energy systems at different degrees of decentralization. In J. Yan, Hxing Yang, H. Li, & X. Chen (Eds.), Energy procedia: Vol. 158. Innovative solutions for energy transitions (pp. 4204-4209). https://doi.org/10.1016/j.egypro.2019.01.808
Modelling of rural electrical appliances ownership in developing countries to project their electricity demand: a case study of sub-Saharan Africa
Dominguez, C., Orehounig, K., & Carmeliet, J. (2019). Modelling of rural electrical appliances ownership in developing countries to project their electricity demand: a case study of sub-Saharan Africa. International Journal of Sustainable Energy Planning and Management, 22, 5-16. https://doi.org/10.5278/ijsepm.2564
Mapping district heating potential under evolving thermal demand scenarios and technologies: a case study for Switzerland
Chambers, J., Narula, K., Sulzer, M., & Patel, M. K. (2019). Mapping district heating potential under evolving thermal demand scenarios and technologies: a case study for Switzerland. Energy, 176, 682-692. https://doi.org/10.1016/j.energy.2019.04.044
Machine learning-based modeling and controller tuning of a heat pump
Khosravi, M., Schmid, N., Eichler, A., Heer, P., & Smith, R. S. (2019). Machine learning-based modeling and controller tuning of a heat pump. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 1343. CISBAT 2019 international conference on climate resilient cities - energy efficiency & renewables in the digital era (p. 012065 (6 p.). https://doi.org/10.1088/1742-6596/1343/1/012065
Linking business model innovation with energy system optimization
Rohrbach, B., von Euw, L., Bollinger, A., Pacheco, C., & Perera, A. T. D. (2019). Linking business model innovation with energy system optimization. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 1343. CISBAT 2019 international conference on climate resilient cities - energy efficiency & renewables in the digital era (p. 012112 (6 pp.). https://doi.org/10.1088/1742-6596/1343/1/012115