Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects

Buildings account for a significant amount of energy consumption leading to the issues of global emissions and climate change. Thus, energy management in a building is increasingly explored due to its significant potential in reducing the overall electricity expenses for the consumers and mitigating...

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Main Authors: K. Parvin, M. S. Hossain Lipu, M. A. Hannan, Majid A. Abdullah, Ker Pin Jern, R. A. Begum, Muhamad Mansur, Kashem M. Muttaqi, T. M. Indra Mahlia, Zhao Yang Dong
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9374412/
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spelling doaj-8d86ba5d18c44ddeb4c80dc556ed11ee2021-03-30T14:58:08ZengIEEEIEEE Access2169-35362021-01-019415774160210.1109/ACCESS.2021.30650879374412Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and ProspectsK. Parvin0https://orcid.org/0000-0002-9266-9160M. S. Hossain Lipu1https://orcid.org/0000-0001-9060-4454M. A. Hannan2https://orcid.org/0000-0001-8367-4112Majid A. Abdullah3https://orcid.org/0000-0002-0244-8277Ker Pin Jern4https://orcid.org/0000-0002-5703-1735R. A. Begum5https://orcid.org/0000-0003-2478-8317Muhamad Mansur6Kashem M. Muttaqi7https://orcid.org/0000-0003-2424-0722T. M. Indra Mahlia8https://orcid.org/0000-0002-6985-929XZhao Yang Dong9https://orcid.org/0000-0001-9659-0858Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, MalaysiaDepartment of Electrical, Electronic, and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, MalaysiaDepartment of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, MalaysiaDepartment of Electrical and Electronics Engineering Technology, The University of Hafr Al-Batin, Hafar Al-Batin, Saudi ArabiaDepartment of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, MalaysiaInstitute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, MalaysiaDepartment of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, MalaysiaSchool of Electrical, Computer, and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Information, Systems, and Modeling, University of Technology Sydney, Ultimo, NSW, AustraliaSchool of Electrical Engineering and Telecommunications, UNSW, Sydney, NSW, AustraliaBuildings account for a significant amount of energy consumption leading to the issues of global emissions and climate change. Thus, energy management in a building is increasingly explored due to its significant potential in reducing the overall electricity expenses for the consumers and mitigating carbon emissions. In line with that, the greater control and optimization of energy management integrated with renewable energy resources is required to improve building energy efficiency while satisfying indoor environment comfort. Even though actions are being taken to reduce the energy consumption in buildings with several optimization and controller techniques, yet some issues remain unsolved. Therefore, this work provides a comprehensive review of the conventional and intelligent control methods with emphasis on their classification, features, configuration, benefits, and drawbacks. This review critically investigates the different optimization objectives and constraints with respect to comfort management, energy consumption, and scheduling. Furthermore, the review outlines the different methodological approaches to optimization algorithms used in building energy management. The contributions of controller and optimization in building energy management with the relation of sustainable development goals (SDGs) are explained rigorously. Discussions on the key challenges of the existing methods are presented to identify the gaps for future research. The review delivers some effective future directions that would be beneficial to the researchers and industrialists to design an efficiently optimized controller for building energy management toward targeting SDGs.https://ieeexplore.ieee.org/document/9374412/Building energy managementcontrolleroptimizationschedulingsustainable development goals
collection DOAJ
language English
format Article
sources DOAJ
author K. Parvin
M. S. Hossain Lipu
M. A. Hannan
Majid A. Abdullah
Ker Pin Jern
R. A. Begum
Muhamad Mansur
Kashem M. Muttaqi
T. M. Indra Mahlia
Zhao Yang Dong
spellingShingle K. Parvin
M. S. Hossain Lipu
M. A. Hannan
Majid A. Abdullah
Ker Pin Jern
R. A. Begum
Muhamad Mansur
Kashem M. Muttaqi
T. M. Indra Mahlia
Zhao Yang Dong
Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
IEEE Access
Building energy management
controller
optimization
scheduling
sustainable development goals
author_facet K. Parvin
M. S. Hossain Lipu
M. A. Hannan
Majid A. Abdullah
Ker Pin Jern
R. A. Begum
Muhamad Mansur
Kashem M. Muttaqi
T. M. Indra Mahlia
Zhao Yang Dong
author_sort K. Parvin
title Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
title_short Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
title_full Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
title_fullStr Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
title_full_unstemmed Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
title_sort intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Buildings account for a significant amount of energy consumption leading to the issues of global emissions and climate change. Thus, energy management in a building is increasingly explored due to its significant potential in reducing the overall electricity expenses for the consumers and mitigating carbon emissions. In line with that, the greater control and optimization of energy management integrated with renewable energy resources is required to improve building energy efficiency while satisfying indoor environment comfort. Even though actions are being taken to reduce the energy consumption in buildings with several optimization and controller techniques, yet some issues remain unsolved. Therefore, this work provides a comprehensive review of the conventional and intelligent control methods with emphasis on their classification, features, configuration, benefits, and drawbacks. This review critically investigates the different optimization objectives and constraints with respect to comfort management, energy consumption, and scheduling. Furthermore, the review outlines the different methodological approaches to optimization algorithms used in building energy management. The contributions of controller and optimization in building energy management with the relation of sustainable development goals (SDGs) are explained rigorously. Discussions on the key challenges of the existing methods are presented to identify the gaps for future research. The review delivers some effective future directions that would be beneficial to the researchers and industrialists to design an efficiently optimized controller for building energy management toward targeting SDGs.
topic Building energy management
controller
optimization
scheduling
sustainable development goals
url https://ieeexplore.ieee.org/document/9374412/
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