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Edge HVAC analytics

Petri, Ioan, Rana, Omer, Rezgui, Yacine and Fadli, Fodil 2021. Edge HVAC analytics. Energies 14 (17) , 5464. 10.3390/en14175464

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Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher: MDPI
ISSN: 1996-1073
Funders: Sporte.3Q NPRP grant No. NPRP12S-0222-190128 from the Qatar National Research Fund (a member of Qatar Foundation)
Related URLs:
Date of First Compliant Deposit: 2 September 2021
Date of Acceptance: 24 August 2021
Last Modified: 30 May 2022 07:41
URI: https://orca.cardiff.ac.uk/id/eprint/143830

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