| The impact of facade geometry on visual comfort and energy consumption in an office building in different climates
Mahdavinejad, M., Bazazzadeh, H., Mehrvarz, F., Berardi, U., Nasr, T., Pourbagher, S., & Hoseinzadeh, S. (2024). The impact of facade geometry on visual comfort and energy consumption in an office building in different climates. Energy Reports, 11, 1-17. https://doi.org/10.1016/j.egyr.2023.11.021 |
| The impacts of the informal economy, climate migration, and rising temperatures on energy system planning
Yazdanie, M., Frimpong, P. B., Dramani, J. B., & Orehounig, K. (2024). The impacts of the informal economy, climate migration, and rising temperatures on energy system planning. Energy Reports, 11, 165-178. https://doi.org/10.1016/j.egyr.2023.11.041 |
| Data-driven predictive control for demand side management: theoretical and experimental results
Yin, M., Cai, H., Gattiglio, A., Khayatian, F., Smith, R. S., & Heer, P. (2024). Data-driven predictive control for demand side management: theoretical and experimental results. Applied Energy, 353, 122101 (12 pp.). https://doi.org/10.1016/j.apenergy.2023.122101 |
| Performance gaps between energy system planning and operation: a study exploring the impacts of model fidelity and dispatch strategy
Beaud, M., Cai, H., Perera, A. T. D., & Heer, P. (2023). Performance gaps between energy system planning and operation: a study exploring the impacts of model fidelity and dispatch strategy. In Journal of physics: conference series: Vol. 2600. Energy performance modelling (p. 032016 (6 pp.). https://doi.org/10.1088/1742-6596/2600/3/032016 |
| Degradation-aware data-enabled predictive control of energy hubs
Behrunani, V., Zagorowska, M., Hudoba de Badyn, M., Ricca, F., Heer, P., & Lygeros, J. (2023). Degradation-aware data-enabled predictive control of energy hubs. In Journal of physics: conference series: Vol. 2600. Predictive & adaptive control (p. 072006 (6 pp.). https://doi.org/10.1088/1742-6596/2600/7/072006 |
| Experimental validation for distributed control of energy hubs
Behrunani, V., Heer, P., & Lygeros, J. (2023). Experimental validation for distributed control of energy hubs. In Journal of physics: conference series: Vol. 2600. Predictive & adaptive control (p. 072004 (7 pp.). https://doi.org/10.1088/1742-6596/2600/7/072004 |
| Data-driven modeling of heat pumps and thermal storage units for MPC
Brandes, M., Cai, H., Vivian, J., Croci, L., Heer, P., & Smith, R. (2023). Data-driven modeling of heat pumps and thermal storage units for MPC. In Journal of physics: conference series: Vol. 2600. Energy performance modelling (p. 032008 (6 pp.). https://doi.org/10.1088/1742-6596/2600/3/032008 |
| Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control
Bünning, F., Heer, P., Smith, R. S., & Lygeros, J. (2023). Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control. Advances in Applied Energy, 10, 100130 (12 pp.). https://doi.org/10.1016/j.adapen.2023.100130 |
| Circular economy meets building automation
Cai, H. (2023). Circular economy meets building automation. In Journal of physics: conference series: Vol. 2600. Energy performance modelling (p. 192011 (6 pp.). https://doi.org/10.1088/1742-6596/2600/19/192011 |
| Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain
Chaudry, M., Jayasuriya, L., Hall, J. W., Jenkins, N., Eyre, N., & Eggimann, S. (2023). Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain. Scientific Reports, 13, 4772 (14 pp.). https://doi.org/10.1038/s41598-023-31257-9 |
| Towards scalable physically consistent neural networks: an application to data-driven multi-zone thermal building models
Di Natale, L., Svetozarevic, B., Heer, P., & Jones, C. N. (2023). Towards scalable physically consistent neural networks: an application to data-driven multi-zone thermal building models. Applied Energy, 340, 121071 (16 pp.). https://doi.org/10.1016/j.apenergy.2023.121071 |
| Design dimensions for blockchain oracles in the AEC industry
Dounas, T., Hunhevicz, J., & Byers, B. S. (2023). Design dimensions for blockchain oracles in the AEC industry. In M. Kassem, L. C. Tagliabue, R. Amor, M. Sreckovic, & A. Chassiakos (Eds.), Proceedings of the European conference on computing in construction. European conference on computing in construction and international CIB W78 conference on information technology for construction (p. (8 pp.). https://doi.org/10.35490/EC3.2023.297 |
| Climate change shifts the trade-of between lower cooling and higher heating demand from daylight saving time in office buildings
Eggimann, S., Mutschler, R., Orehounig, K., & Fiorentini, M. (2023). Climate change shifts the trade-of between lower cooling and higher heating demand from daylight saving time in office buildings. Environmental Research Letters, 18(2), 024001 (9 pp.). https://doi.org/10.1088/1748-9326/acb0e3 |
| The potential of lake-source district heating and cooling for European buildings
Eggimann, S., Vivian, J., Chen, R., Orehounig, K., Patt, A., & Fiorentini, M. (2023). The potential of lake-source district heating and cooling for European buildings. Energy Conversion and Management, 283, 116914 (12 pp.). https://doi.org/10.1016/j.enconman.2023.116914 |
| Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage
Fiorentini, M., Heer, P., & Baldini, L. (2023). Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage. Energy, 262, 125464 (15 pp.). https://doi.org/10.1016/j.energy.2022.125464 |
| Heat transfer constraints and performance mapping of a closed liquid sorption heat storage process
Fumey, B., Weber, R., & Baldini, L. (2023). Heat transfer constraints and performance mapping of a closed liquid sorption heat storage process. Applied Energy, 335, 120755 (11 pp.). https://doi.org/10.1016/j.apenergy.2023.120755 |
| Battery-H<sub>2</sub> storage system for self-sufficiency in residential buildings under different electric heating system scenarios
Go, J., Byun, J., Orehounig, K., & Heo, Y. (2023). Battery-H2 storage system for self-sufficiency in residential buildings under different electric heating system scenarios. Applied Energy, 337, 120742 (16 pp.). https://doi.org/10.1016/j.apenergy.2023.120742 |
| K3 Handwerkcity. Der Gewerbepark erreicht hohen energetischen Selbstversorgungsgrad
Heer, P., Brandes, M., Cai, H., & Palla, H. (2023). K3 Handwerkcity. Der Gewerbepark erreicht hohen energetischen Selbstversorgungsgrad. Aqua & Gas, 103(6), 20-26. |
| Data-driven demand-side flexibility quantification: prediction and approximation of flexibility envelopes
Hekmat, N., Cai, H., Zufferey, T., Hug, G., & Heer, P. (2023). Data-driven demand-side flexibility quantification: prediction and approximation of flexibility envelopes. In Power tech conference. 2023 IEEE Belgrade PowerTech (p. (6 pp.). https://doi.org/10.1109/PowerTech55446.2023.10202703 |
| Web3-based role and token data access: the case of building material passports
Hunhevicz, J. J., Bucher, D. F., Soman, R. K., Honic, M., Hall, D. M., & De Wolf, C. (2023). Web3-based role and token data access: the case of building material passports. In Proceedings of the 2023 European conference on computing in construction and the 40th international CIB W78 conference (p. (8 pp.). https://doi.org/10.35490/EC3.2023.217 |
