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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
Influence of building heat distribution temperatures on the energy performance and sizing of 5th generation district heating and cooling networks
Maccarini, A., Sotnikov, A., Sommer, T., Wetter, M., Sulzer, M., & Afshari, A. (2023). Influence of building heat distribution temperatures on the energy performance and sizing of 5th generation district heating and cooling networks. Energy, 275, 127457 (12 pp.). https://doi.org/10.1016/j.energy.2023.127457
Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps
Bünning, F., Warrington, J., Heer, P., Smith, R. S., & Lygeros, J. (2022). Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps. Control Engineering Practice, 122, 105101 (14 pp.). https://doi.org/10.1016/j.conengprac.2022.105101
Hydrothermal challenges in low-temperature networks with distributed heat pumps
Sommer, T., Sotnikov, A., Sulzer, M., Scholz, V., Mischler, S., Rismanchi, B., … Mennel, S. (2022). Hydrothermal challenges in low-temperature networks with distributed heat pumps. Energy, 257, 124527 (16 pp.). https://doi.org/10.1016/j.energy.2022.124527
Vocabulary for the fourth generation of district heating and cooling
Sulzer, M., Werner, S., Mennel, S., & Wetter, M. (2021). Vocabulary for the fourth generation of district heating and cooling. Smart energy, 1, 100003 (10 pp.). https://doi.org/10.1016/j.segy.2021.100003
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
Mapping district heating potential under evolving thermal demand scenarios and technologies: a case study for Switzerland
Chambers, J., Narula, K., Sulzer, M., & Patel, M. K. (2019). Mapping district heating potential under evolving thermal demand scenarios and technologies: a case study for Switzerland. Energy, 176, 682-692. https://doi.org/10.1016/j.energy.2019.04.044
A two-stage polynomial approach to stochastic optimization of district heating networks
Hohmann, M., Warrington, J., & Lygeros, J. (2019). A two-stage polynomial approach to stochastic optimization of district heating networks. Sustainable Energy, Grids and Networks, 17, 100177 (13 pp.). https://doi.org/10.1016/j.segan.2018.11.003
Comparison of individual and microgrid approaches for a distributed multi energy system with different renewable shares in the grid electricity supply
Morvaj, B., Evins, R., & Carmeliet, J. (2017). Comparison of individual and microgrid approaches for a distributed multi energy system with different renewable shares in the grid electricity supply. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 349-354). https://doi.org/10.1016/j.egypro.2017.07.336
Optimising urban energy systems: simultaneous system sizing, operation and district heating network layout
Morvaj, B., Evins, R., & Carmeliet, J. (2016). Optimising urban energy systems: simultaneous system sizing, operation and district heating network layout. Energy, 116(Part 1), 619-636. https://doi.org/10.1016/j.energy.2016.09.139