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  • (-) Organizational Unit = 313 Urban Energy Systems
  • (-) Publication Year = 2019 - 2019
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Characterization of heat-pump, PV and battery demonstrator technologies using a coherent energy assessment
Allan, J., Georges, G., Heer, P., Budiman, D., & Croce, L. (2019). Characterization of heat-pump, PV and battery demonstrator technologies using a coherent energy assessment. 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. 012105 (6 pp.). https://doi.org/10.1088/1742-6596/1343/1/012105
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
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
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
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
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
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
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
A two-stage polynomial approach to stochastic optimization of district heating networks
Hohmann, M., Warrington, J., & Lygeros, J. (2019). A two-stage polynomial approach to stochastic optimization of district heating networks. Sustainable Energy, Grids and Networks, 17, 100177 (13 pp.). https://doi.org/10.1016/j.segan.2018.11.003
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
A review of synthetic fuels for passenger vehicles
Hänggi, S., Elbert, P., Bütler, T., Cabalzar, U., Teske, S., Bach, C., & Onder, C. (2019). A review of synthetic fuels for passenger vehicles. Energy Reports, 5, 555-569. https://doi.org/10.1016/j.egyr.2019.04.007
Controller tuning by Bayesian optimization. An application to a heat pump
Khosravi, M., Eichler, A., Schmid, N., Heer, P., & Smith, R. S. (2019). Controller tuning by Bayesian optimization. An application to a heat pump. In 2019 18th European control conference (ECC) (pp. 1467-1472). https://doi.org/10.23919/ECC.2019.8795801
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
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. (2019). Evaluation of the humidity performance of a carbon dioxide (CO2) capture device as a novel ventilation strategy in buildings. Applied Energy. https://doi.org/10.1016/j.apenergy.2019.03.074
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
Impacts of an increased substitution of fossil energy carriers with electricity-based technologies on the Swiss electricity system
Rüdisüli, M., Teske, S. L., & Elber, U. (2019). Impacts of an increased substitution of fossil energy carriers with electricity-based technologies on the Swiss electricity system. Energies, 12(12), 2399 (38 pp.). https://doi.org/10.3390/en12122399
Energy Hubs - Ein Beitrag zur Energiewende. Am Beispiel "Masterplan Energie Brig-Glis"
Sulzer, M., Bollinger, A., & Orehounig, K. (2019). Energy Hubs - Ein Beitrag zur Energiewende. Am Beispiel "Masterplan Energie Brig-Glis". Aqua & Gas, 99(3), 14-20.
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
A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis
Waibel, C., Mavromatidis, G., Evins, R., & Carmeliet, J. (2019). A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis. Journal of Building Performance Simulation, 12(6), 789-811. https://doi.org/10.1080/19401493.2019.1671897
Building energy optimization: an extensive benchmark of global search algorithms
Waibel, C., Wortmann, T., Evins, R., & Carmeliet, J. (2019). Building energy optimization: an extensive benchmark of global search algorithms. Energy and Buildings, 187, 218-240. https://doi.org/10.1016/j.enbuild.2019.01.048