A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities

Despite the development of increasingly efficient technologies and the ever-growing amount of available data from Building Automation Systems (BAS) and connected devices, buildings are still far from reaching their performance potential due to inadequate controls and suboptimal operation sequences....

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Main Authors: Etienne Saloux, Kun Zhang, José A. Candanedo
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/13/10/2566
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author Etienne Saloux
Kun Zhang
José A. Candanedo
author_facet Etienne Saloux
Kun Zhang
José A. Candanedo
author_sort Etienne Saloux
collection DOAJ
description Despite the development of increasingly efficient technologies and the ever-growing amount of available data from Building Automation Systems (BAS) and connected devices, buildings are still far from reaching their performance potential due to inadequate controls and suboptimal operation sequences. Advanced control methods such as model-based controls or model-based predictive controls (MPC) are widely acknowledged as effective solutions for improving building operation. Although they have been well-investigated in the past, their widespread adoption has yet to be reached. Based on our experience in this field, this paper aims to provide a broader perspective on research trends on advanced controls in the built environment to researchers and practitioners, as well as to newcomers in the field. Pressing challenges are explored, such as inefficient local controls (which must be addressed in priority) and data availability and quality (not as good as expected, despite the advent of the digital era). Other major hurdles that slow down the large-scale adoption of advanced controls include communication issues with BAS and lack of guidelines and standards tailored for controls. To encourage their uptake, cost-effective solutions and successful case studies are required, which need to be further supported by better training and engagement between the industry and research communities. This paper also discusses promising opportunities: while building modelling is already playing a critical role, data-driven methods and data analytics are becoming a popular option to improve buildings controls. High-performance local and supervisory controls have emerged as promising solutions. Energy flexibility appears instrumental in achieving decarbonization targets in the built environment.
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spelling doaj.art-e30fdd6ebcd64a1cad8038fcaf4c32be2023-11-19T15:56:11ZengMDPI AGBuildings2075-53092023-10-011310256610.3390/buildings13102566A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising OpportunitiesEtienne Saloux0Kun Zhang1José A. Candanedo2CanmetENERGY: Natural Resources Canada, Varennes, QC J3X 1P7, CanadaCanmetENERGY: Natural Resources Canada, Varennes, QC J3X 1P7, CanadaCanmetENERGY: Natural Resources Canada, Varennes, QC J3X 1P7, CanadaDespite the development of increasingly efficient technologies and the ever-growing amount of available data from Building Automation Systems (BAS) and connected devices, buildings are still far from reaching their performance potential due to inadequate controls and suboptimal operation sequences. Advanced control methods such as model-based controls or model-based predictive controls (MPC) are widely acknowledged as effective solutions for improving building operation. Although they have been well-investigated in the past, their widespread adoption has yet to be reached. Based on our experience in this field, this paper aims to provide a broader perspective on research trends on advanced controls in the built environment to researchers and practitioners, as well as to newcomers in the field. Pressing challenges are explored, such as inefficient local controls (which must be addressed in priority) and data availability and quality (not as good as expected, despite the advent of the digital era). Other major hurdles that slow down the large-scale adoption of advanced controls include communication issues with BAS and lack of guidelines and standards tailored for controls. To encourage their uptake, cost-effective solutions and successful case studies are required, which need to be further supported by better training and engagement between the industry and research communities. This paper also discusses promising opportunities: while building modelling is already playing a critical role, data-driven methods and data analytics are becoming a popular option to improve buildings controls. High-performance local and supervisory controls have emerged as promising solutions. Energy flexibility appears instrumental in achieving decarbonization targets in the built environment.https://www.mdpi.com/2075-5309/13/10/2566advanced controlsdata analyticsdecarbonizationflexibilitymodel predictive controlbuilding operation
spellingShingle Etienne Saloux
Kun Zhang
José A. Candanedo
A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities
Buildings
advanced controls
data analytics
decarbonization
flexibility
model predictive control
building operation
title A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities
title_full A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities
title_fullStr A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities
title_full_unstemmed A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities
title_short A Critical Perspective on Current Research Trends in Building Operation: Pressing Challenges and Promising Opportunities
title_sort critical perspective on current research trends in building operation pressing challenges and promising opportunities
topic advanced controls
data analytics
decarbonization
flexibility
model predictive control
building operation
url https://www.mdpi.com/2075-5309/13/10/2566
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