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  • (-) Empa Laboratories = 313 Urban Energy Systems
  • (-) Publication Year = 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
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
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
Empirical validation of a data-driven heating demand simulation with error correction methods
Bünning, F., Bollinger, A., Heer, P., Smith, R. S., & Lygeros, J. (2019). Empirical validation of a data-driven heating demand simulation with error correction methods. 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. 1428-1435). https://doi.org/10.26868/25222708.2019.210673
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
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
Disruptive business models enabling large battery energy storage system deployment
Mazourenko, E., Heer, P., Niederhaeuser, E. L., & Torregrossa, D. (2019). Disruptive business models enabling large battery energy storage system deployment. In A. Unterweger & D. Engel (Eds.), Energy informatics: Vol. 2. Proceedings of the 8th DACH+ conference on energy informatics (pp. 21-24). Springer.
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
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 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