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  • (-) Empa Laboratories = 305 Computational Engineering
  • (-) Publication Year = 2008 - 2018
  • (-) Empa Authors = Orehounig, Kristina
Search Results 1 - 20 of 28
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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 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
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
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.
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
Assessment of the ground source heat potential at building level applied to an urban case study
Miglani, S., Orehounig, K., & Carmeliet, J. (2016). Assessment of the ground source heat potential at building level applied to an urban case study (p. (13 pp.). Presented at the 19. Status-Seminar «Forschen für den Bau im Kontext von Energie und Umwelt». brenet.
Dynamic building energy demand modelling at urban scale for the case of Switzerland
Wang, D., Orehounig, K., & Carmeliet, J. (2016). Dynamic building energy demand modelling at urban scale for the case of Switzerland. In P. K. Heiselberg (Ed.), Vol. 4. CLIMA 2016 - proceedings of the 12th REHVA world congress (p. (10 pp.).
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
Application of spatial-temporal clustering to facilitate energy system modelling
Marquant, J. F., Omu, A. O., Orehounig, K., Evins, R., & Carmeliet, J. (2015). Application of spatial-temporal clustering to facilitate energy system modelling. In J. Mathur & V. Garg (Eds.), Building simulation conference proceedings: Vol. 14. Proceedings of BS2015 (pp. 551-558). International Institute of Information Technology (IIIT).
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).