LAPSE:2023.19884
Published Article
LAPSE:2023.19884
Edge HVAC Analytics
March 9, 2023
Integrating 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.
Keywords
buildings, cost, edge computing, Energy Efficiency, HVAC
Suggested Citation
Petri I, Rana O, Rezgui Y, Fadli F. Edge HVAC Analytics. (2023). LAPSE:2023.19884
Author Affiliations
Petri I: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK [ORCID]
Rana O: School of Computer Science and Informatics, Cardiff University, Cardiff CF24 3AA, UK [ORCID]
Rezgui Y: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK [ORCID]
Fadli F: Department of Architecture & Urban Planning, Qatar University, University Street, Doha 2713, Qatar [ORCID]
Journal Name
Energies
Volume
14
Issue
17
First Page
5464
Year
2021
Publication Date
2021-09-02
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14175464, Publication Type: Journal Article
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LAPSE:2023.19884
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doi:10.3390/en14175464
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Mar 9, 2023
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CC BY 4.0
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