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  • (-) Empa Laboratories = 313 Urban Energy Systems
  • (-) Publication Year = 2007 - 2019
  • (-) Empa Laboratories = 305 Computational Engineering
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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
A time-series-based approach for robust design of multi-energy systems with energy storage
Gabrielli, P., Fürer, F., Murray, P., Orehounig, K., Carmeliet, J., Gazzani, M., & Mazzotti, M. (2018). A time-series-based approach for robust design of multi-energy systems with energy storage. In A. Friedl, J. J. Klemeš, S. Radl, P. S. Varbanov, & T. Wallek (Eds.), Computer aided chemical engineering: Vol. 43. Proceedings of the 28th European symposium on computer aided process engineering (pp. 525-530). https://doi.org/10.1016/B978-0-444-64235-6.50093-0
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 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
A methodology to calculate long-term shallow geothermal energy potential for an urban neighbourhood
Miglani, S., Orehounig, K., & Carmeliet, J. (2018). A methodology to calculate long-term shallow geothermal energy potential for an urban neighbourhood. Energy and Buildings, 159, 462-473. https://doi.org/10.1016/j.enbuild.2017.10.100
Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design
Nault, E., Waibel, C., Carmeliet, J., & Andersen, M. (2018). Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design. Building and Environment, 137, 58-72. https://doi.org/10.1016/j.buildenv.2018.03.033
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
A holarchic approach for multi-scale distributed energy system optimisation
Marquant, J. F., Evins, R., Bollinger, L. A., & Carmeliet, J. (2017). A holarchic approach for multi-scale distributed energy system optimisation. Applied Energy, 208, 935-953. https://doi.org/10.1016/j.apenergy.2017.09.057
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
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
Designing electrically self-sufficient distributed energy systems under energy demand and solar radiation uncertainty
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2017). Designing electrically self-sufficient distributed energy systems under energy demand and solar radiation uncertainty. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 1027-1032). https://doi.org/10.1016/j.egypro.2017.07.470
Trade-offs between risk-neutral and risk-averse decision making for the design of distributed energy systems under uncertainty
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2017). Trade-offs between risk-neutral and risk-averse decision making for the design of distributed energy systems under uncertainty. 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.). ECOS 2017.
Decarbonizing the electricity grid: the impact on urban energy systems, distribution grids and district heating potential
Morvaj, B., Evins, R., & Carmeliet, J. (2017). Decarbonizing the electricity grid: the impact on urban energy systems, distribution grids and district heating potential. Applied Energy, 191, 125-140. https://doi.org/10.1016/j.apenergy.2017.01.058
Efficient time-resolved 3D solar potential modelling
Waibel, C., Evins, R., & Carmeliet, J. (2017). Efficient time-resolved 3D solar potential modelling. Solar Energy, 158, 960-976. https://doi.org/10.1016/j.solener.2017.10.054
Are genetic algorithms really the best choice for building energy optimization?
Wortmann, T., Waibel, C., Nannicini, G., Evins, R., Schroepfer, T., & Carmeliet, J. (2017). Are genetic algorithms really the best choice for building energy optimization? In M. Turrin, B. Peters, T. Dogan, W. O'Brien, & R. Stouffs (Eds.), SIMAUD '17: proceedings of the symposium on simulation for architecture and urban design (pp. 51-55).
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