Edge HVAC Analytics

Ioan Petri, Omer Rana, Yacine Rezgui and Fodil Fadli
Additional contact information
Ioan Petri: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Omer Rana: School of Computer Science and Informatics, Cardiff University, Cardiff CF24 3AA, UK
Yacine Rezgui: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Fodil Fadli: Department of Architecture & Urban Planning, Qatar University, University Street, Doha 2713, Qatar

Energies, 2021, vol. 14, issue 17, 1-11

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.

Keywords: cost; edge computing; energy efficiency; HVAC; buildings (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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