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Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning

Most of the commercial buildings in Malaysia are still equipped with the legacy control for their Heat ventilation and air conditioning system (HVAC), which several studies claimed to have contributed to energy consumption in buildings. A significant amount of this energy is consumed by the building...

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Main Authors: Mahdi M.N., Bakare T.A., Ahmad A.R., Buhari A.M., Mohamed K.S.
Other Authors: 56727803900
Format: Conference Paper
Published: Springer Science and Business Media Deutschland GmbH 2023
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spelling my.uniten.dspace-272832023-05-29T17:42:06Z Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning Mahdi M.N. Bakare T.A. Ahmad A.R. Buhari A.M. Mohamed K.S. 56727803900 57232790600 35589598800 56525158000 57216259938 Most of the commercial buildings in Malaysia are still equipped with the legacy control for their Heat ventilation and air conditioning system (HVAC), which several studies claimed to have contributed to energy consumption in buildings. A significant amount of this energy is consumed by the building Heat Ventilation and Air Conditioning units. This is mostly due to the lack of smart and remote functionalities in the legacy HVAC systems to control the chillers and the Air handling units. This massive energy consumption is an antithesis to what governments all over the world are aiming for. However, scalability and deployment of low-cost resource-limited hardware embedded with control algorithms used to save energy in commercial building�s Heat Ventilation and Air Conditioning (HVAC) units is a difficult engineering task. But the unprecedented advancement and perverseness of information technology services over the past two decades has led to an ever more connected world. This project will leverage the concept of the Internet of Energy to make the systems smarter and more decentralized for flexible energy usage. Modern-day devices are increasingly linked to the internet, creating what is now referred to as the internet of things (IoT). The IoT paradigm has provided technologists with the ability to remotely control devices, and with the recent progress in Machine learning (ML) and Artificial Intelligence (AI), devices are trained to make smart decisions that can independently influence human to machine interactions. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Final 2023-05-29T09:42:06Z 2023-05-29T09:42:06Z 2022 Conference Paper 10.1007/978-3-030-85990-9_15 2-s2.0-85121821578 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121821578&doi=10.1007%2f978-3-030-85990-9_15&partnerID=40&md5=089ab749d309808fe5a7e5dc89b402c8 https://irepository.uniten.edu.my/handle/123456789/27283 322 165 174 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Most of the commercial buildings in Malaysia are still equipped with the legacy control for their Heat ventilation and air conditioning system (HVAC), which several studies claimed to have contributed to energy consumption in buildings. A significant amount of this energy is consumed by the building Heat Ventilation and Air Conditioning units. This is mostly due to the lack of smart and remote functionalities in the legacy HVAC systems to control the chillers and the Air handling units. This massive energy consumption is an antithesis to what governments all over the world are aiming for. However, scalability and deployment of low-cost resource-limited hardware embedded with control algorithms used to save energy in commercial building�s Heat Ventilation and Air Conditioning (HVAC) units is a difficult engineering task. But the unprecedented advancement and perverseness of information technology services over the past two decades has led to an ever more connected world. This project will leverage the concept of the Internet of Energy to make the systems smarter and more decentralized for flexible energy usage. Modern-day devices are increasingly linked to the internet, creating what is now referred to as the internet of things (IoT). The IoT paradigm has provided technologists with the ability to remotely control devices, and with the recent progress in Machine learning (ML) and Artificial Intelligence (AI), devices are trained to make smart decisions that can independently influence human to machine interactions. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
author2 56727803900
author_facet 56727803900
Mahdi M.N.
Bakare T.A.
Ahmad A.R.
Buhari A.M.
Mohamed K.S.
format Conference Paper
author Mahdi M.N.
Bakare T.A.
Ahmad A.R.
Buhari A.M.
Mohamed K.S.
spellingShingle Mahdi M.N.
Bakare T.A.
Ahmad A.R.
Buhari A.M.
Mohamed K.S.
Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning
author_sort Mahdi M.N.
title Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning
title_short Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning
title_full Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning
title_fullStr Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning
title_full_unstemmed Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning
title_sort scalable smartification of commercial buildings hvac systems using the internet of things and machine learning
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2023
_version_ 1806428056403836928
score 13.211869

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