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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
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
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
Konzepte für die nächste Generation von technischen Regulierungen im Bereich Gebäude und Energie. Energiewende und Technische Regulierung EnTeR - Schlussbericht Phase 1
Sulzer, M., Orehounig, K., Carp, V., Gadola, R., Knoeri, C., Marquant, J., … Schwarz, M. (2019). Konzepte für die nächste Generation von technischen Regulierungen im Bereich Gebäude und Energie. Energiewende und Technische Regulierung EnTeR - Schlussbericht Phase 1. Empa; ETH Zürich.
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
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
Comparison of alternative decision-making criteria in a two-stage stochastic program for the design of distributed energy systems under uncertainty
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). Comparison of alternative decision-making criteria in a two-stage stochastic program for the design of distributed energy systems under uncertainty. Energy, 156, 709-724. https://doi.org/10.1016/j.energy.2018.05.081
Design of distributed energy systems under uncertainty: a two-stage stochastic programming approach
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). Design of distributed energy systems under uncertainty: a two-stage stochastic programming approach. Applied Energy, 222, 932-950. https://doi.org/10.1016/j.apenergy.2018.04.019
Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems. Applied Energy, 214, 219-238. https://doi.org/10.1016/j.apenergy.2018.01.062
Sensitivity analysis on optimal placement of façade based photovoltaics
Waibel, C., Mavromatidis, G., Bollinger, A., Evins, R., & Carmeliet, J. (2018). Sensitivity analysis on optimal placement of façade based photovoltaics. In J. C. Teixeira, A. C. Ferreira, Ã. Silva, & S. Teixeira (Eds.), ECOS 2018. Proceedings of the 31st international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems. Guimarães, Portugal: Universidade do Minho. Departamento de Engenharia Mecânica.
CESAR: a bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies
Wang, D., Landolt, J., Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). CESAR: a bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies. Energy and Buildings, 169, 9-26. https://doi.org/10.1016/j.enbuild.2018.03.020
Comparing different temporal dimension representations in distributed energy system design models
Marquant, J. F., Mavromatidis, G., Evins, R., & Carmeliet, J. (2017). Comparing different temporal dimension representations in distributed energy system design models. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 907-912). https://doi.org/10.1016/j.egypro.2017.07.403
Multiobjective optimisation of energy systems and building envelope retrofit in a residential community
Wu, R., Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2017). Multiobjective optimisation of energy systems and building envelope retrofit in a residential community. Applied Energy, 190, 634-649. https://doi.org/10.1016/j.apenergy.2016.12.161
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
Uncertainty and sensitivity analysis for the optimal design of distributed urban energy systems
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2016). Uncertainty and sensitivity analysis for the optimal design of distributed urban energy systems. In G. Habert & A. Schlueter (Eds.), Expanding boundaries. Systems thinking in the built environment (pp. 122-128). https://doi.org/10.3218/3774-6_20
Optimal energy system transformation of a neighbourhood
Wu, R., Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2016). Optimal energy system transformation of a neighbourhood. In G. Habert & A. Schlueter (Eds.), Expanding boundaries. Systems thinking in the built environment (pp. 58-63). https://doi.org/10.3218/3774-6_10
A review of modelling approaches and tools for the simulation of district-scale energy systems
Allegrini, J., Orehounig, K., Mavromatidis, G., Ruesch, F., Dorer, V., & Evins, R. (2015). A review of modelling approaches and tools for the simulation of district-scale energy systems. Renewable and Sustainable Energy Reviews, 52, 1391-1404. https://doi.org/10.1016/j.rser.2015.07.123
Climate change impact on the design of urban energy systems
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2015). Climate change impact on the design of urban energy systems. In Solar energy and building physics laboratory (LESO-PB) & Ecole Polytechnique Fédérale de Lausanne (EPFL) (Eds.), Vol. II. Proceedings of CISBAT 2015 (pp. 853-858). EPFL; LESO-PB.
Evaluation of photovoltaic integration potential in a village
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2015). Evaluation of photovoltaic integration potential in a village. Solar Energy, 121, 152-168. https://doi.org/10.1016/j.solener.2015.03.044
Evaluation of solar energy integration potential in a neighborhood
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2015). Evaluation of solar energy integration potential in a neighborhood. In J. Mathur & V. Garg (Eds.), Building simulation conference proceedings: Vol. 14. Proceedings of BS2015 (pp. 2623-2630). International Institute of Information Technology (IIIT).