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AuthorPetri, Ioan
AuthorRana, Omer
AuthorRezgui, Yacine
AuthorFadli, Fodil
Available date2023-12-06T09:34:56Z
Publication Date2021
Publication NameEnergies
ResourceScopus
ISSN19961073
URIhttp://dx.doi.org/10.3390/en14175464
URIhttp://hdl.handle.net/10576/50171
AbstractIntegrating data analytics, optimisation and dynamic control to support energy services has seen significant interest in recent years. Larger appliances used in an industry context are now provided with Internet of Things (IoT)-based interfaces that can be remotely monitored, with some also provided with actuation interfaces. The combined use of IoT and edge computing enables connectivity between energy systems and infrastructure, providing the means to implement both energy efficiency/optimisation and cost reduction strategies. We investigate the economic implications of harnessing IoT and edge/cloud technologies to support energy management for HVAC (Heating, Ventilation and Air Conditioning) systems in buildings. In particular, we evaluate the cost savings for building operations through energy optimisation. We use a real use case for energy optimisation as identified in the EU "Sporte2" project (focusing on the energy optimisation of sports facilities) and explore several scenarios in relation to costs and energy optimisation.
SponsorAcknowledgments: This work is part of the EU FP7 SportE2 project grant No. 260124 and Sporte.3Q NPRP grant No. NPRP12S-0222-190128 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherMDPI
SubjectBuildings
Cost
Edge computing
Energy efficiency
HVAC
TitleEdge HVAC analytics
TypeArticle
Issue Number17
Volume Number14
dc.accessType Open Access


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