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SWIMS: a dynamic life cycle-based optimisation and decision support tool for solid waste management
Roberts, K. P., Turner, D. A., Coello, J., Stringfellow, A. M., Bello, I. A., Powrie, W., & Watson, G. V. R. (2018). SWIMS: a dynamic life cycle-based optimisation and decision support tool for solid waste management. Journal of Cleaner Production, 196, 547-563. https://doi.org/10.1016/j.jclepro.2018.05.265
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
Mixed integer linear programming for the design of solar thermal energy systems with short-term storage
Omu, A., Hsieh, S., & Orehounig, K. (2016). Mixed integer linear programming for the design of solar thermal energy systems with short-term storage. Applied Energy, 180, 313-326. https://doi.org/10.1016/j.apenergy.2016.07.055
Multi-level optimization of building design, energy system sizing and operation
Evins, R. (2015). Multi-level optimization of building design, energy system sizing and operation. Energy, 90, 1775-1789. https://doi.org/10.1016/j.energy.2015.07.007
Multi-objective optimization of the design and operation of an energy hub for the Empa campus
Hohmann, M., Waibel, C., Evins, R., & Carmeliet, J. (2015). Multi-objective optimization of the design and operation of an energy hub for the Empa campus. In Solar energy and building physics laboratory (LESO-PB) & Ecole Polytechnique Fédérale de Lausanne (EPFL) (Eds.), Vol. II. Proceedings of CISBAT 2015 (pp. 591-596). https://doi.org/10.5075/epfl-cisbat2015-591-596
Temperature dependent representation for Chaboche kinematic hardening model
Hosseini, E., Holdsworth, S. R., Kühn, I., & Mazza, E. (2015). Temperature dependent representation for Chaboche kinematic hardening model. Materials at High Temperatures, 32(4), 404-411. https://doi.org/10.1179/1878641314Y.0000000036
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
Economic, climate change, and air quality analysis of distributed energy resource systems
Omu, A., Rysanek, A., Stettler, M., & Choudhary, R. (2015). Economic, climate change, and air quality analysis of distributed energy resource systems. In S. Koziel, L. Leifsson, M. Lees, V. V. Krzhizhanovskaya, J. Dongarra, & P. M. A. Sloot (Eds.), Procedia computer science: Vol. 51. International conference on computational science, ICCS 2015. Computational science at the gates of nature (pp. 2147-2156). https://doi.org/10.1016/j.procs.2015.05.487
Energy hub modeling for the design of solar thermal energy systems with short-term and long-term storage
Omu, A., Hsieh, S., Orehounig, K., & Carmeliet, J. (2015). Energy hub modeling for the design of solar thermal energy systems with short-term and long-term storage. In Solar energy and building physics laboratory (LESO-PB) & Ecole Polytechnique Fédérale de Lausanne (EPFL) (Eds.), Vol. II. Proceedings of CISBAT 2015 (pp. 609-614). https://doi.org/10.5075/epfl-cisbat2015-609-614
New formulations of the 'energy hub' model to address operational constraints
Evins, R., Orehounig, K., Dorer, V., & Carmeliet, J. (2014). New formulations of the 'energy hub' model to address operational constraints. Energy, 73(7), 387-398. https://doi.org/10.1016/j.energy.2014.06.029
A review of computational optimisation methods applied to sustainable building design
Evins, R. (2013). A review of computational optimisation methods applied to sustainable building design. Renewable and Sustainable Energy Reviews, 22, 230-245. https://doi.org/10.1016/j.rser.2013.02.004