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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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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