Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gulsun Demirezen"'
Publikováno v:
Energies, Vol 17, Iss 23, p 5941 (2024)
Understanding energy demands and costs is important for policy makers and the energy sector, especially in the context of residential heating and cooling systems. To estimate the thermal demand of a residential house, a grey-box modelling method with
Externí odkaz:
https://doaj.org/article/64c91bf1236b42e8be3b3a727a062bbd
Publikováno v:
International Journal of Energy Research. 44:8513-8531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0fd955201afa50dd9c2121923130c9
https://doi.org/10.1002/er.5537
https://doi.org/10.1002/er.5537
Autor:
Gulsun Demirezen, Alan S. Fung
Publikováno v:
Energy Procedia. 158:3070-3075
This preliminary study is part of a bigger cloud-based smart dual fuel switching system (SDFSS) for hybrid heating, ventilation and air conditioning (HVAC) systems. The SDFSS being developed enables flexible and cost-optimized control between the nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59bbd2129aeff24ed3c8982d2b6c585b
https://doi.org/10.1016/j.egypro.2019.01.992
https://doi.org/10.1016/j.egypro.2019.01.992
Autor:
Alan S. Fung, Gulsun Demirezen
Publikováno v:
Energy and Buildings. 250:111237
Through tests conducted at the Toronto and Region Conservation Authority’s (TRCA) Archetype Sustainable Houses, a hybrid residential space heating system with a supervisory controller was monitored and studied to evaluate its performance and effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0a2df22f293fd3bbe2b9fd93f77c5ce
https://doi.org/10.1016/j.enbuild.2021.111237
https://doi.org/10.1016/j.enbuild.2021.111237
Autor:
King Yeung Tung, Gulsun Demirezen, Kaamran Raahemifar, Farah Mohammadi, Danilo Yu, Navid Ekrami, Alan S. Fung
Publikováno v:
2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).
A net-zero energy house was outfitted with IoT technology and devices to monitor its energy generation and consumption. The house has a rooftop PV array, an efficient hybrid (or dual-fuel) HVAC system, and efficient appliances to achieve net-zero sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bbee697b7687d6b426e0218e74826fd
https://doi.org/10.1109/appeec45492.2019.8994380
https://doi.org/10.1109/appeec45492.2019.8994380
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 463:012165
Machine learning algorithms using Artificial Neural Network (ANN) were developed to predict the performance of heat pump systems in retrofit residential housing. The study attempts to address the research gap in the application of machine learning al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b550e567d46b0b2a50c577da8adfeb55
https://doi.org/10.1088/1755-1315/463/1/012165
https://doi.org/10.1088/1755-1315/463/1/012165
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Apr2020, Vol. 463 Issue 1, p1-1, 1p