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المؤلفPetri, Ioan
المؤلفRana, Omer
المؤلفRezgui, Yacine
المؤلفFadli, Fodil
تاريخ الإتاحة2023-12-06T09:34:56Z
تاريخ النشر2021
اسم المنشورEnergies
المصدرScopus
الرقم المعياري الدولي للكتاب19961073
معرّف المصادر الموحدhttp://dx.doi.org/10.3390/en14175464
معرّف المصادر الموحدhttp://hdl.handle.net/10576/50171
الملخصIntegrating 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.
راعي المشروعAcknowledgments: 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).
اللغةen
الناشرMDPI
الموضوعBuildings
Cost
Edge computing
Energy efficiency
HVAC
العنوانEdge HVAC analytics
النوعArticle
رقم العدد17
رقم المجلد14
dc.accessType Open Access


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