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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
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
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
Clustering and ranking based methods for selecting tuned search heuristic parameters
Waibel, C., Evins, R., & Carmeliet, J. (2019). Clustering and ranking based methods for selecting tuned search heuristic parameters. In Congress on evolutionary computation. 2019 IEEE congress on evolutionary computation (CEC) (pp. 2931-2940). https://doi.org/10.1109/CEC.2019.8790261
Co-simulation and optimization of building geometry and multi-energy systems: interdependencies in energy supply, energy demand and solar potentials
Waibel, C., Evins, R., & Carmeliet, J. (2019). Co-simulation and optimization of building geometry and multi-energy systems: interdependencies in energy supply, energy demand and solar potentials. Applied Energy, 242, 1661-1682. https://doi.org/10.1016/j.apenergy.2019.03.177
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.
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
Holistic optimization of urban morphology and district energy system
Waibel, C., Evins, R., & Carmeliet, J. (2016). Holistic optimization of urban morphology and district energy system. In G. Habert & A. Schlueter (Eds.), Expanding boundaries. Systems thinking in the built environment (pp. 70-76). https://doi.org/10.3218/3774-6_12
Exploring the use of variable mapping for optimising urban morphologies
Waibel, C., & Evins, R. (2015). Exploring the use of variable mapping for optimising urban morphologies. In J. Mathur & V. Garg (Eds.), Building simulation conference proceedings: Vol. 14. Proceedings of BS2015 (pp. 1837-1844). International Institute of Information Technology (IIIT).
Reducing the computing time of multi-objective building optimisation using self-adaptive sequential model assessment
Waibel, C., Ramallo-González, A. P., Evins, R., & Carmeliet, J. (2015). Reducing the computing time of multi-objective building optimisation using self-adaptive sequential model assessment. In J. Mathur & V. Garg (Eds.), Building simulation conference proceedings: Vol. 14. Proceedings of BS2015 (pp. 34-41). International Institute of Information Technology (IIIT).