Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment

Many advanced control methods have been proposed in the past to improve the operation of buildings. This reprint collected publications dealing with advanced control solutions implemented in existing buildings to improve their performance. Moreover, it gathers promising methodologies to facilitate t...

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出版: MDPI - Multidisciplinary Digital Publishing Institute 2024
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collection Directory of Open Access Books
description Many advanced control methods have been proposed in the past to improve the operation of buildings. This reprint collected publications dealing with advanced control solutions implemented in existing buildings to improve their performance. Moreover, it gathers promising methodologies to facilitate the adoption of advanced control solutions in the building control industry. It includes virtual sensing for indoor air pollutants, novel models to predict indoor air temperature as well as building heating and cooling loads; and model-based controls, predictive controls, and predictive maintenance algorithms to optimize setpoint tracking and the operation of building heating and cooling systems.
format Online
id doab-20.500.12854ir-137757
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1377572024-05-14T14:22:18Z Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment Saloux, Etienne model predictive control advanced controls control-oriented models energy efficiency optimization thermal comfort energy flexibility model-based control strategies school buildings measured data predictive maintenance faults detection and diagnosis chilled water system commercial buildings Industry 4.0 Quality 4.0 data-driven analysis energy consumption data-driven prediction building heating load cooling load HVAC control faults industry 4.0 quality 4.0 survey frequencies model-based controls free cooling chiller sequencing temperature reset strategies decision tree algorithm industrial engineering engineering management indoor temperature machine learning deep learning educational building virtual sensing LSTM IAQ monitoring data analytics decarbonization flexibility building operation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Many advanced control methods have been proposed in the past to improve the operation of buildings. This reprint collected publications dealing with advanced control solutions implemented in existing buildings to improve their performance. Moreover, it gathers promising methodologies to facilitate the adoption of advanced control solutions in the building control industry. It includes virtual sensing for indoor air pollutants, novel models to predict indoor air temperature as well as building heating and cooling loads; and model-based controls, predictive controls, and predictive maintenance algorithms to optimize setpoint tracking and the operation of building heating and cooling systems. 2024-05-14T14:22:06Z 2024-05-14T14:22:06Z 2024 book ONIX_20240514_9783725804733_353 9783725804733 9783725804740 https://directory.doabooks.org/handle/20.500.12854/137757 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8990 https://mdpi.com/books/pdfview/book/8990 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0474-0 10.3390/books978-3-7258-0474-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725804733 9783725804740 264 open access
spellingShingle model predictive control
advanced controls
control-oriented models
energy efficiency
optimization
thermal comfort
energy flexibility
model-based control strategies
school buildings
measured data
predictive maintenance
faults detection and diagnosis
chilled water system
commercial buildings
Industry 4.0
Quality 4.0
data-driven analysis
energy consumption
data-driven
prediction
building
heating load
cooling load
HVAC
control
faults
industry 4.0
quality 4.0
survey
frequencies
model-based controls
free cooling
chiller sequencing
temperature reset strategies
decision tree algorithm
industrial engineering
engineering management
indoor temperature
machine learning
deep learning
educational building
virtual sensing
LSTM
IAQ
monitoring
data analytics
decarbonization
flexibility
building operation
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment
title Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment
title_full Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment
title_fullStr Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment
title_full_unstemmed Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment
title_short Practical Applications of Model Predictive Control and Other Advanced Control Methods in the Built Environment
title_sort practical applications of model predictive control and other advanced control methods in the built environment
topic model predictive control
advanced controls
control-oriented models
energy efficiency
optimization
thermal comfort
energy flexibility
model-based control strategies
school buildings
measured data
predictive maintenance
faults detection and diagnosis
chilled water system
commercial buildings
Industry 4.0
Quality 4.0
data-driven analysis
energy consumption
data-driven
prediction
building
heating load
cooling load
HVAC
control
faults
industry 4.0
quality 4.0
survey
frequencies
model-based controls
free cooling
chiller sequencing
temperature reset strategies
decision tree algorithm
industrial engineering
engineering management
indoor temperature
machine learning
deep learning
educational building
virtual sensing
LSTM
IAQ
monitoring
data analytics
decarbonization
flexibility
building operation
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet model predictive control
advanced controls
control-oriented models
energy efficiency
optimization
thermal comfort
energy flexibility
model-based control strategies
school buildings
measured data
predictive maintenance
faults detection and diagnosis
chilled water system
commercial buildings
Industry 4.0
Quality 4.0
data-driven analysis
energy consumption
data-driven
prediction
building
heating load
cooling load
HVAC
control
faults
industry 4.0
quality 4.0
survey
frequencies
model-based controls
free cooling
chiller sequencing
temperature reset strategies
decision tree algorithm
industrial engineering
engineering management
indoor temperature
machine learning
deep learning
educational building
virtual sensing
LSTM
IAQ
monitoring
data analytics
decarbonization
flexibility
building operation
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url ONIX_20240514_9783725804733_353