Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Emma M.V. Blomgren"'
Autor:
Mohsen Banaei, Francesco D’Ettorre, Razgar Ebrahimy, S. Ali Pourmousavi, Emma M.V. Blomgren, Henrik Madsen
Publikováno v:
International Journal of Electrical Power and Energy Systems
Banaei, M, D'Ettorre, F, Ebrahimy, R, Pourmousavi, S A, Blomgren, E M V & Madsen, H 2023, ' A stochastic methodology to exploit maximum flexibility of swimming pool heating systems ', International Journal of Electrical Power and Energy Systems, vol. 145, 108643 . https://doi.org/10.1016/j.ijepes.2022.108643
Banaei, M, D'Ettorre, F, Ebrahimy, R, Pourmousavi, S A, Blomgren, E M V & Madsen, H 2023, ' A stochastic methodology to exploit maximum flexibility of swimming pool heating systems ', International Journal of Electrical Power and Energy Systems, vol. 145, 108643 . https://doi.org/10.1016/j.ijepes.2022.108643
Swimming pool heating systems are known as one of the best flexible resources in buildings. However, they can be flexible only for a certain number of hours throughout a day due to the comfort constraints of the users. In this study, a new approach i
Autor:
Dominik Franjo Dominković, Tilman Weckesser, Amos Schledorn, Henrik Madsen, Emma M.V. Blomgren
Publikováno v:
Weckesser, T, Dominković, D F, Blomgren, E M V, Schledorn, A & Madsen, H 2021, ' Renewable Energy Communities: Optimal sizing and distribution grid impact of photo-voltaics and battery storage ', Applied Energy, vol. 301, 117408 . https://doi.org/10.1016/j.apenergy.2021.117408
In this paper, an extensive study of Renewable Energy Communities and their potential impact on the electric distribution grid has been carried out. For that purpose, a Linear Programming optimization model sizing the energy community’s Photo-Volta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4fa183af5be490287e1e7029fec0530
https://orbit.dtu.dk/en/publications/47a59cec-b5bb-4c65-8416-7790ac51afd1
https://orbit.dtu.dk/en/publications/47a59cec-b5bb-4c65-8416-7790ac51afd1
Publikováno v:
Nystrup, P, Madsen, H, Blomgren, E M V & de Zotti, G 2021, ' Clustering commercial and industrial load patterns for long-term energy planning ', Smart Energy, vol. 2, 100010 . https://doi.org/10.1016/j.segy.2021.100010
In future smart energy systems, consumers are expected to change their load patterns as they become a significant source of flexibility. To ensure reliable load profile forecasts for long-term energy planning, conventional classification approaches w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caf42dc9ebab0d6d28db2a783246a0ab
https://orbit.dtu.dk/en/publications/00f6e559-26db-4dab-8049-4ff33dbfbbf1
https://orbit.dtu.dk/en/publications/00f6e559-26db-4dab-8049-4ff33dbfbbf1
Publikováno v:
Smart Energy. 4:100050