Scalable smartification of commercial buildings HVAC systems using the internet of Things and Machine Learning

Mohammad Najah Mahdi, Taofiq Adeola Bakare, Abdul Rahim Ahmad, Adamu Muhammad Buhari, Khalid Sheikhidris Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of International Conference on Emerging Technologies and Intelligent Systems - ICETIS 2021
EditorsMostafa Al-Emran, Mohammed A. Al-Sharafi, Mohammed N. Al-Kabi, Khaled Shaalan
Place of PublicationCham Switzerland
PublisherSpringer
Pages165-174
Number of pages10
Volume2
ISBN (Electronic)9783030859909
ISBN (Print)9783030859893
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Emerging Technologies and Intelligent Systems 2021 - Al Buraimi, Oman
Duration: 25 Jun 202126 Jun 2021
https://link.springer.com/book/10.1007/978-3-030-85990-9 (Proceedings)

Publication series

NameLecture Notes in Networks and Systems
Publisher Springer
Volume322
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Emerging Technologies and Intelligent Systems 2021
Abbreviated titleICETIS 2021
Country/TerritoryOman
CityAl Buraimi
Period25/06/2126/06/21
Internet address

Keywords

  • Artificial intelligence
  • Energy consumption
  • Heat ventilation and air conditioning
  • Internet of energy
  • Internet of things
  • Machine learning

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