Technologies for a diagnostic technique for HVAC systems using IoT and cloud-based architecture
2023 (English) In: 2023 International Interdisciplinary PhD Workshop (IIPhDW), IEEE, 2023Conference paper, Published paper (Refereed)
Abstract [en]
Optimizing the energy efficiency in Heating, Ventilation, and Air Conditioning (HVAC) systems is becoming increasingly important as costs rise and the environment needs to be protected. Existing plants are often not adequately digitized to identify unnecessary excess consumption. The overall goal of the project described in this work is the development of an Internet of Things (IoT)-based diagnostic technique for those systems. Our intended system will allow the evaluation of the performance of HVAC systems with as few additional measurement points as possible. The main contributions of this paper are (a) a comparison of different cloud providers, (b) a description of the architecture of the system, and (c) an initial evaluation of the value added to the case study enterprise by the system in use.
Place, publisher, year, edition, pages IEEE, 2023.
Keywords [en]
AWS, Cloud Services, HVAC, IoT, IT Architecture, Architecture, Computer architecture, Energy efficiency, Web services, Cloud providers, Cloud-based architectures, Conditioning systems, Diagnostics techniques, Heating ventilation and air conditioning, Measurement points, Performance, Internet of things
National Category
Information Systems
Identifiers URN: urn:nbn:se:hj:diva-63361 DOI: 10.1109/IIPhDW54739.2023.10124398 Scopus ID: 2-s2.0-85160544924 ISBN: 9781665410847 (electronic) OAI: oai:DiVA.org:hj-63361 DiVA, id: diva2:1828146
Conference 2023 International Interdisciplinary PhD Workshop (IIPhDW), 03-05 May 2023, Wismar, Germany
2024-01-162024-01-162024-01-16 Bibliographically approved