Query

Active Filters

  • (-) Empa Laboratories = 313 Urban Energy Systems
Search Results 1 - 20 of 385

Pages

  • RSS Feed
Select Page
Development of a GHG-based control strategy for a fleet of hybrid heat pumps to decarbonize space heating and domestic hot water
Biéron, M., Le Dréau, J., & Haas, B. (2025). Development of a GHG-based control strategy for a fleet of hybrid heat pumps to decarbonize space heating and domestic hot water. Applied Energy, 378, 124751 (19 pp.). https://doi.org/10.1016/j.apenergy.2024.124751
Strengthening energy system resilience planning under uncertainty by minimizing regret
Yazdanie, M., Dramani, J. B., & Orehounig, K. (2025). Strengthening energy system resilience planning under uncertainty by minimizing regret. Renewable and Sustainable Energy Transition, 6, 100093 (14 pp.). https://doi.org/10.1016/j.rset.2024.100093
Impact of drought on hydropower generation in the Volta River basin and future projections under different climate and development pathways
Adu-Poku, A., Siabi, E. K., Otchere, N. O., Effah, F. B., Awafo, E. A., Kemausuor, F., & Yazdanie, M. (2024). Impact of drought on hydropower generation in the Volta River basin and future projections under different climate and development pathways. Energy and Climate Change, 5, 100169 (13 pp.). https://doi.org/10.1016/j.egycc.2024.100169
A hierarchical knowledge framework for digital twins of buildings and their energy systems (position paper)
Allan, J., Munoz, E., Acero González, S., Bazazzadeh, H., Bellizio, F., Cai, H., … Mavromatidis, G. (2024). A hierarchical knowledge framework for digital twins of buildings and their energy systems (position paper). In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Lecture notes in business information processing: Vol. 521. Advanced information systems engineering workshops. CAiSE 2024 international workshops (pp. 53-58). https://doi.org/10.1007/978-3-031-61003-5_5
The potential of linked data and semantic technologies in data platforms for urban energy planning
Allan, J., Derboni, M., Acero González, S., Mangili, F., Marchiori, E., Marquant, J., … Rizzoli, A. (2024). The potential of linked data and semantic technologies in data platforms for urban energy planning. In F. Kupzog (Ed.), OVE-Schriftenreihe: Vol. 113. ComForEn 2024. 13. Symposium communications for energy systems (pp. 83-89). Österreichischer Verband für Elektrotechnik.
The performance analysis of a compressed air energy storage (CAES) for peak moving with cooling, heating, and power production
Assareh, E., Hoseinzadeh, S., Karami, A., Bazazzadeh, H., Groppi, D., & Garcia, D. A. (2024). The performance analysis of a compressed air energy storage (CAES) for peak moving with cooling, heating, and power production. Case Studies in Thermal Engineering, 64, 105448 (29 pp.). https://doi.org/10.1016/j.csite.2024.105448
Design of distribution tariffs for energy hub networks to reduce carbon emissions
Behrunani, V., Bellizio, F., Heer, P., & Lygeros, J. (2024). Design of distribution tariffs for energy hub networks to reduce carbon emissions. In 2024 European Control Conference (ECC) (pp. 1534-1539). https://doi.org/10.23919/ECC64448.2024.10591316
Distributed multi-horizon model predictive control for network of energy hubs
Behrunani, V. N., Cai, H., Heer, P., Smith, R. S., & Lygeros, J. (2024). Distributed multi-horizon model predictive control for network of energy hubs. Control Engineering Practice, 147, 105922 (15 pp.). https://doi.org/10.1016/j.conengprac.2024.105922
Equirectangular 360° image dataset for detecting reusable construction components
Bendiek Laranjo, A., Hunhevicz, J. J., Menzel, K., & Wolf, C. D. (2024). Equirectangular 360° image dataset for detecting reusable construction components. In M. Srećković, M. Kassem, R. Soman, & A. Chassiakos (Eds.), Computing in construction. Proceedings of the 2024 European conference on computing in construction (pp. 542-549). https://doi.org/10.35490/EC3.2024.266
Dynamic grid emission factors and export limits reduce emission abatement and cost benefits of building PV systems
Brodnicke, L., Ganter, A., Tröber, S., Sansavini, G., & Vulic, N. (2024). Dynamic grid emission factors and export limits reduce emission abatement and cost benefits of building PV systems. Energy and Buildings, 323, 114772 (15 pp.). https://doi.org/10.1016/j.enbuild.2024.114772
From BIM to Web3: a critical interpretive synthesis of present and emerging data management approaches in construction informatics
Bucher, D. F., Hunhevicz, J. J., Soman, R. K., Pauwels, P., & Hall, D. M. (2024). From BIM to Web3: a critical interpretive synthesis of present and emerging data management approaches in construction informatics. Advanced Engineering Informatics, 62, 102884 (18 pp.). https://doi.org/10.1016/j.aei.2024.102884
Exploring tokenized product passports for circular construction supply chains
Byers, B. S., Hunhevicz, J. J., Honic, M., & Wolf, C. D. (2024). Exploring tokenized product passports for circular construction supply chains. In M. Srećković, M. Kassem, R. Soman, & A. Chassiakos (Eds.), Computing in construction. Proceedings of the 2024 European conference on computing in construction (pp. 34-41). https://doi.org/10.35490/EC3.2024.265
Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision
Cai, H., & Heer, P. (2024). Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision. Sustainable Cities and Society, 111, 105531 (13 pp.). https://doi.org/10.1016/j.scs.2024.105531
Real-time coordination of integrated transmission and distribution systems: flexibility modeling and distributed NMPC scheduling
Dai, X., Guo, Y., Jiang, Y., Jones, C. N., Hug, G., & Hagenmeyer, V. (2024). Real-time coordination of integrated transmission and distribution systems: flexibility modeling and distributed NMPC scheduling. Electric Power Systems Research, 234, 110627 (8 pp.). https://doi.org/10.1016/j.epsr.2024.110627
Computationally efficient reinforcement learning: targeted exploration leveraging simple rules
Di Natale, L., Svetozarevic, B., Heer, P., & Jones, C. N. (2024). Computationally efficient reinforcement learning: targeted exploration leveraging simple rules. In Proceedings of the IEEE conference on decision and control (CDC) (pp. 2334-2339). https://doi.org/10.1109/CDC49753.2023.10384283
Stable linear subspace identification: a machine learning approach
Di Natale, L., Zakwan, M., Svetozarevic, B., Heer, P., Ferrari-Trecate, G., & Jones, C. N. (2024). Stable linear subspace identification: a machine learning approach. In 2024 European Control Conference (ECC) (pp. 3539-3544). https://doi.org/10.23919/ECC64448.2024.10590843
Renovated or replaced? Finding the optimal solution for an existing building considering cumulative CO<sub>2</sub> emissions, energy consumption and costs - a case study
Dominguez, C., Kakkos, E., Gross, D., Hischier, R., & Orehounig, K. (2024). Renovated or replaced? Finding the optimal solution for an existing building considering cumulative CO2 emissions, energy consumption and costs - a case study. Energy and Buildings, 303, 113767 (21 pp.). https://doi.org/10.1016/j.enbuild.2023.113767
Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies
Dramani, J. B., Ofori-Mensah, K. A., Otchere, N. O., Frimpong, P. B., Adu-Poku, A., Kemausuor, F., & Yazdanie, M. (2024). Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies. Heliyon, 10(16), e36001 (16 pp.). https://doi.org/10.1016/j.heliyon.2024.e36001
Machine learning approaches for predictions of CO2 emissions in the building sector
Giannelos, S., Bellizio, F., Strbac, G., & Zhang, T. (2024). Machine learning approaches for predictions of CO2 emissions in the building sector. Electric Power Systems Research, 235, 110735 (6 pp.). https://doi.org/10.1016/j.epsr.2024.110735
The construction commons. A new institutional economics perspective on collaborative project resources
Hall, D. M., Bonanomi, M. M. M., & Hunhevicz, J. (2024). The construction commons. A new institutional economics perspective on collaborative project resources. In S. Moradi, K. Kähkönen, L. Koskela, O. J. Klakegg, & K. Aaltonen (Eds.), Routledge handbook of collaboration in construction (pp. 49-60). https://doi.org/10.1201/9781003379553-7
 

Pages