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"Solar fitness and wellness" - a unique design for sustainable wellness technologies
Weber, R. R., & Baldini, L. (2019). "Solar fitness and wellness" - a unique design for sustainable wellness technologies. 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. 012097 (6 p.). https://doi.org/10.1088/1742-6596/1343/1/012097
A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050
Murray, P., Orehounig, K., Grosspietsch, D., & Carmeliet, J. (2018). A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050. Applied Energy, 231, 1285-1306. https://doi.org/10.1016/j.apenergy.2018.08.106
A data-driven approach for window opening predictions in non-air-conditioned buildings
Fu, Y., Zhou, T., Lun, I., Khayatian, F., Deng, W., & Su, W. (2022). A data-driven approach for window opening predictions in non-air-conditioned buildings. Intelligent Buildings International, 14(3), 329-345. https://doi.org/10.1080/17508975.2021.1963651
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 machine learning-based surrogate model to approximate optimal building retrofit solutions
Thrampoulidis, E., Mavromatidis, G., Lucchi, A., & Orehounig, K. (2021). A machine learning-based surrogate model to approximate optimal building retrofit solutions. Applied Energy, 281, 116024 (20 pp.). https://doi.org/10.1016/j.apenergy.2020.116024
A methodology for the optimal operation of a residential building's heating system with focus on thermal modelling of GSHPs
Ajit Miglani, S., Orehounig, K., & Carmeliet, J. (2017). A methodology for the optimal operation of a residential building's heating system with focus on thermal modelling of GSHPs. In Proceedings of ECOS 2017 - the 30th international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, July 2-July 6, 2017, San Diego, California, USA (p. (14 pp.). https://doi.org/10.3929/ethz-b-000186857
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 multicriteria approach for evaluating high temperature hydrogen production processes
Galzim, O., Mansilla, C., Giaconia, A., Poitou, S., Hinkley, J., Ebbesen, S. D., … Kolb, G. J. (2011). A multicriteria approach for evaluating high temperature hydrogen production processes. International Journal of Multicriteria Decision Making, 1(2), 177-204. https://doi.org/10.1504/IJMCDM.2011.039586
A new combined clustering method to analyse the potential of district heating networks at large-scale
Marquant, J. F., Bollinger, L. A., Evins, R., & Carmeliet, J. (2017). A new combined clustering method to analyse the potential of district heating networks at large-scale. In Proceedings of ECOS 2017 - the 30th international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, July 2-July 6, 2017, San Diego, California, USA (p. (12 pp.). https://doi.org/10.3929/ethz-b-000196118
A new combined clustering method to analyse the potential of district heating networks at large-scale
Marquant, J. F., Bollinger, L. A., Evins, R., & Carmeliet, J. (2018). A new combined clustering method to analyse the potential of district heating networks at large-scale. Energy, 156, 73-83. https://doi.org/10.1016/j.energy.2018.05.027
A novel ventilation strategy with CO<SUB>2</SUB> capture device and energy saving in buildings
Kim, M. K., Baldini, L., Leibundgut, H., Wurzbacher, J. A., & Piatkowski, N. (2015). A novel ventilation strategy with CO2 capture device and energy saving in buildings. Energy and Buildings, 87, 134-141. https://doi.org/10.1016/j.enbuild.2014.11.017
A review and analysis of energy systems planning models and tools for renewable energy integration in cities
Yazdanie, M., & Orehounig, K. (2023). A review and analysis of energy systems planning models and tools for renewable energy integration in cities. In M. Andersen, B. Smith, Y. Schwartz, C. Waibel, D. Lindelof, D. Lindelof, & D. Lindelof (Eds.), Journal of physics: conference series: Vol. 2600. Renewable energy (p. 042007 (6 pp.). https://doi.org/10.1088/1742-6596/2600/4/042007
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
A review of uncertainty characterisation approaches for the optimal design of distributed energy systems
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). A review of uncertainty characterisation approaches for the optimal design of distributed energy systems. Renewable and Sustainable Energy Reviews, 88, 258-277. https://doi.org/10.1016/j.rser.2018.02.021
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
A semantic data framework to support data-driven demand forecasting
Allan, J., Mangili, F., Derboni, M., Gisler, L., Hainoun, A., Rizzoli, A., … Sulzer, M. (2023). A semantic data framework to support data-driven demand forecasting. In Journal of physics: conference series: Vol. 2600. Energy & thermal management systems (p. 022001 (6 pp.). https://doi.org/10.1088/1742-6596/2600/2/022001
A simulation platform to facilitate the design of distributed energy systems for buildings and districts
Bollinger, L. A., & Dorer, V. (2016). A simulation platform to facilitate the design of distributed energy systems for buildings and districts (p. (8 pp.). Presented at the 19. Status-Seminar «Forschen für den Bau im Kontext von Energie und Umwelt». brenet.
A solar-assisted low-temperature district heating and cooling network coupled with a ground-source heat pump
Bordignon, S., Quaggiotto, D., Vivian, J., Emmi, G., De Carli, M., & Zarrella, A. (2022). A solar-assisted low-temperature district heating and cooling network coupled with a ground-source heat pump. Energy Conversion and Management, 267, 115838 (11 pp.). https://doi.org/10.1016/j.enconman.2022.115838
A strategy for reducing CO<sub>2</sub> emissions from buildings with the Kaya identity – a Swiss energy system analysis and a case study
Mavromatidis, G., Orehounig, K., Richner, P., & Carmeliet, J. (2016). A strategy for reducing CO2 emissions from buildings with the Kaya identity – a Swiss energy system analysis and a case study. Energy Policy, 88(11), 343-354. https://doi.org/10.1016/j.enpol.2015.10.037
A study of district heating systems with solar thermal based prosumers
Wang, D., Orehounig, K., & Carmeliet, J. (2018). A study of district heating systems with solar thermal based prosumers. Energy procedia: Vol. 149. (pp. 132-140). Presented at the 16th international symposium on district heating and cooling, DHC2018. https://doi.org/10.1016/j.egypro.2018.08.177
 

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