Query

Active Filters

  • (-) Empa Laboratories = 313 Urban Energy Systems
Search Results 1 - 20 of 259

Pages

  • RSS Feed
Select Page
Calculating the heat loss coefficients for performance modelling of seasonal ice thermal storage
Allan, J., Croce, L., Dott, R., Georges, G., & Heer, P. (2022). Calculating the heat loss coefficients for performance modelling of seasonal ice thermal storage. Journal of Energy Storage, 52, 104528 (9 pp.). https://doi.org/10.1016/j.est.2022.104528
A solar-assisted low-temperature district heating and cooling network coupled with a ground-source heat pump
Bordignon, S., Quaggiotto, D., Vivian, J., Emmi, G., De Carli, M., & Zarrella, A. (2022). A solar-assisted low-temperature district heating and cooling network coupled with a ground-source heat pump. Energy Conversion and Management, 267, 115838 (11 pp.). https://doi.org/10.1016/j.enconman.2022.115838
Short-lived interfaces in energy materials
Borgschulte, A., Terreni, J., Fumey, B., Sambalova, O., & Billeter, E. (2022). Short-lived interfaces in energy materials. Frontiers in Energy Research, 9, 784082 (13 pp.). https://doi.org/10.3389/fenrg.2021.784082
Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management
Brandi, S., Fiorentini, M., & Capozzoli, A. (2022). Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management. Automation in Construction, 135, 104128 (15 pp.). https://doi.org/10.1016/j.autcon.2022.104128
Physics-informed linear regression is competitive with two machine learning methods in residential building MPC
Bünning, F., Huber, B., Schalbetter, A., Aboudonia, A., Hudoba de Badyn, M., Heer, P., … Lygeros, J. (2022). Physics-informed linear regression is competitive with two machine learning methods in residential building MPC. Applied Energy, 310, 118491 (14 pp.). https://doi.org/10.1016/j.apenergy.2021.118491
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
Physically consistent neural networks for building thermal modeling: theory and analysis
Di Natale, L., Svetozarevic, B., Heer, P., & Jones, C. N. (2022). Physically consistent neural networks for building thermal modeling: theory and analysis. Applied Energy, 325, 119806 (17 pp.). https://doi.org/10.1016/j.apenergy.2022.119806
Expanding urban green space with superblocks
Eggimann, S. (2022). Expanding urban green space with superblocks. Land Use Policy, 117, 106111 (9 pp.). https://doi.org/10.1016/j.landusepol.2022.106111
Spatiotemporal upscaling errors of building stock clustering for energy demand simulation
Eggimann, S., Vulic, N., Rüdisüli, M., Mutschler, R., Orehounig, K., & Sulzer, M. (2022). Spatiotemporal upscaling errors of building stock clustering for energy demand simulation. Energy and Buildings, 258, 111844 (17 pp.). https://doi.org/10.1016/j.enbuild.2022.111844
The potential of implementing superblocks for multifunctional street use in cities
Eggimann, S. (2022). The potential of implementing superblocks for multifunctional street use in cities. Nature Sustainability, 5, 406-414. https://doi.org/10.1038/s41893-022-00855-2
Design and optimal integration of seasonal borehole thermal energy storage in district heating and cooling networks.
Fiorentini, M., Vivian, J., Heer, P., & Baldini, L. (2022). Design and optimal integration of seasonal borehole thermal energy storage in district heating and cooling networks. In CLIMA 2022. Eye on 2030. Towards digizalized, healthy, circular and energy efficient HVAC. Proceedings (p. (8 pp.). https://doi.org/10.34641/clima.2022.64
A data-driven approach for window opening predictions in non-air-conditioned buildings
Fu, Y., Zhou, T., Lun, I., Khayatian, F., Deng, W., & Su, W. (2022). A data-driven approach for window opening predictions in non-air-conditioned buildings. Intelligent Buildings International, 14(3), 329-345. https://doi.org/10.1080/17508975.2021.1963651
Enhanced gas-liquid absorption through natural convection studied by neutron imaging
Fumey, B., Borgschulte, A., Stoller, S., Fricker, R., Knechtle, R., Kaestner, A., … Baldini, L. (2022). Enhanced gas-liquid absorption through natural convection studied by neutron imaging. International Journal of Heat and Mass Transfer, 182, 121967 (11 pp.). https://doi.org/10.1016/j.ijheatmasstransfer.2021.121967
Resilient cooling through geothermal district energy system
Gautier, A., Wetter, M., & Sulzer, M. (2022). Resilient cooling through geothermal district energy system. Applied Energy, 325, 119880 (17 pp.). https://doi.org/10.1016/j.apenergy.2022.119880
Performance and dynamics of active greywater heat recovery in buildings
Hadengue, B., Morgenroth, E., Larsen, T. A., & Baldini, L. (2022). Performance and dynamics of active greywater heat recovery in buildings. Applied Energy, 305, 117677 (13 pp.). https://doi.org/10.1016/j.apenergy.2021.117677
Performance benchmarking of power-to-gas plants using composite indicators
Heymann, F., Rüdisüli, M., vom Scheidt, F., & Camanho, A. S. (2022). Performance benchmarking of power-to-gas plants using composite indicators. International Journal of Hydrogen Energy, 47(58), 24465-24480. https://doi.org/10.1016/j.ijhydene.2021.10.189
Flexibility assessment of e-mobilty in multi-energy districts
Koirala, B., Mutschler, R., Bartolini, A., Bollinger, A., & Orehounig, K. (2022). Flexibility assessment of e-mobilty in multi-energy districts. In Vol. CP798. CIRED Porto workshop 2022: E-mobility and power distribution systems (p. 367 (5 pp.). https://doi.org/10.1049/icp.2022.0827
Distributed model predictive control of buildings and energy hubs
Lefebure, N., Khosravi, M., Hudobade Badyn, M., Bünning, F., Lygeros, J., Jones, C., & Smith, R. S. (2022). Distributed model predictive control of buildings and energy hubs. Energy and Buildings, 259, 111806 (14 pp.). https://doi.org/10.1016/j.enbuild.2021.111806
Effects of aging on rheological, chemical, and micromechanical properties of waterborne epoxy resin modified bitumen emulsion
Li, R., Leng, Z., Li, G., Yang, B., & Lu, G. (2022). Effects of aging on rheological, chemical, and micromechanical properties of waterborne epoxy resin modified bitumen emulsion. International Journal of Pavement Engineering. https://doi.org/10.1080/10298436.2022.2077943
Information modelling for urban building energy simulation—a taxonomic review
Malhotra, A., Bischof, J., Nichersu, A., Häfele, K. H., Exenberger, J., Sood, D., … Schweiger, G. (2022). Information modelling for urban building energy simulation—a taxonomic review. Building and Environment, 208, 108552 (18 pp.). https://doi.org/10.1016/j.buildenv.2021.108552
 

Pages