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Linked data ontology for urban scale building energy simulation
Allan, J., Fierz, L., Bollinger, A., & Orehounig, K. (2021). Linked data ontology for urban scale building energy simulation. In eSIM 2020 conference proceedings (p. (8 pp.). IBPSA.
Temporal resolution of measurements and the effects on calibrating building energy models
Khayatian, F., Bollinger, A., & Heer, P. (2021). Temporal resolution of measurements and the effects on calibrating building energy models. In eSIM 2020 conference proceedings (p. (8 pp.). IBPSA.
Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties
Khayatian, F., Nagy, Z., & Bollinger, A. (2021). Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties. Energy and Buildings, 251, 111334 (13 pp.). https://doi.org/10.1016/j.enbuild.2021.111334
Handbuch zur Entwicklung erneuerbarer dezentraler Energiesysteme
Mennel, S., Sulzer, M., Yilmaz, S., Patel, M., Chambers, J., Knoeri, C., … Sulzer Worlitschek, S. (2021). Handbuch zur Entwicklung erneuerbarer dezentraler Energiesysteme. SCCER FEEB&D; Hochschule Luzern.
Transformation of the Swiss energy system for a net-zero greenhouse gas emission society. Results from the joint activity scenarios & modelling
Panos, E., Kober, T., Ramachandran, K., Hirschberg, S., Bauer, C., Schildhauer, T., … Burg, V. (2021). Transformation of the Swiss energy system for a net-zero greenhouse gas emission society. Results from the joint activity scenarios & modelling. ETH Zurich.
Wegweiser aus dem Energie-Trilemma
Sulzer, M., Orehounig, K., & Bollinger, A. (2021). Wegweiser aus dem Energie-Trilemma. Bulletin SEV/VSE, Fachzeitschrift und Verbandsinformationen von Electrosuisse und VSE, 112(3), 2-6.
Improving energy sustainability of suburban areas by using distributed energy systems: a case study
Muriel, B., Perera, A. T. D., Hanmin, C., Bollinger, A., & Orehounig, K. (2020). Improving energy sustainability of suburban areas by using distributed energy systems: a case study. In Proceedings: Vol. 58. The first world energies forum - current and future energy issues (p. 7 (7 pp.). https://doi.org/10.3390/WEF-06918
Komplexität ist die neue Einfachheit. Wie Sektorenkopplung und Netzkonvergenz zu eleganten Lösungen führen
Sulzer, M., Orehounig, K., & Bollinger, A. (2020). Komplexität ist die neue Einfachheit. Wie Sektorenkopplung und Netzkonvergenz zu eleganten Lösungen führen. Aqua & Gas, 100(9), 23-28.
Speed-optimized simulation models for rapid performance evaluation of heating and energy management systems
Allan, J., Boegli, M., Bollinger, A., Alet, P. J., & Wiget, M. (2019). Speed-optimized simulation models for rapid performance evaluation of heating and energy management systems. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Proceedings of the international building performance simulation association: Vol. 16. Proceedings of building simulation 2019: 16th conference of IBPSA (pp. 3668-3675). https://doi.org/10.26868/25222708.2019.210997
Optimization-based planning of local energy systems - bridging the research-practice gap
Andrew Bollinger, L., Marquant, J., & Sulzer, M. (2019). Optimization-based planning of local energy systems - bridging the research-practice gap. In A. Passer, T. Lützkendorf, G. Habert, H. Kromp-Kolb, & M. Monsberger (Eds.), IOP conference series: earth and environmental science: Vol. 323. SBE19 Graz. Sustainable built environment D-A-CH conference 2019. Transition towards a net zero carbon built environment (p. 012077 (10 pp.). https://doi.org/10.1088/1755-1315/323/1/012077
Empirical validation of a data-driven heating demand simulation with error correction methods
Bünning, F., Bollinger, A., Heer, P., Smith, R. S., & Lygeros, J. (2019). Empirical validation of a data-driven heating demand simulation with error correction methods. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Proceedings of the international building performance simulation association: Vol. 16. Proceedings of building simulation 2019: 16th conference of IBPSA (pp. 1428-1435). https://doi.org/10.26868/25222708.2019.210673
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
Linking business model innovation with energy system optimization
Rohrbach, B., von Euw, L., Bollinger, A., Pacheco, C., & Perera, A. T. D. (2019). Linking business model innovation with energy system optimization. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 1343. CISBAT 2019 international conference on climate resilient cities - energy efficiency & renewables in the digital era (p. 012112 (6 pp.). https://doi.org/10.1088/1742-6596/1343/1/012115
Energy Hubs - Ein Beitrag zur Energiewende. Am Beispiel "Masterplan Energie Brig-Glis"
Sulzer, M., Bollinger, A., & Orehounig, K. (2019). Energy Hubs - Ein Beitrag zur Energiewende. Am Beispiel "Masterplan Energie Brig-Glis". Aqua & Gas, 99(3), 14-20.
Multi-model ecologies for shaping future energy systems: design patterns and development paths
Bollinger, L. A., Davis, C. B., Evins, R., Chappin, E. J. L., & Nikolic, I. (2018). Multi-model ecologies for shaping future energy systems: design patterns and development paths. Renewable and Sustainable Energy Reviews, 82, 3441-3451. https://doi.org/10.1016/j.rser.2017.10.047
Monetary value of a district's flexibility on the spotand reserve electricity markets
Facchinetti, E., Rohrbach, B., van der Wel, G., & Bollinger, A. (2018). Monetary value of a district's flexibility on the spotand reserve electricity markets. Buildings, 8(12), 181 (14 pp.). https://doi.org/10.3390/buildings8120181
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
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.
Impact of electricity price policies on optimal district energy system design
Bollinger, L. A. (2017). Impact of electricity price policies on optimal district energy system design (p. (8 pp.). Presented at the Building simulation 2017. .
The Ehub modeling tool: a flexible software package for district energy system optimization
Bollinger, L. A., & Dorer, V. (2017). The Ehub modeling tool: a flexible software package for district energy system optimization. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 541-546). https://doi.org/10.1016/j.egypro.2017.07.402