Importance of occupancy information for building climate control
► Investigation of occupancy information for energy efficient building climate control. ► Simulation study with different buildings, HVAC systems, seasons, and occupancy patterns. ► Adjusting lighting and ventilation to instantaneous measurements has large energy savings potential. ► Additional occu...
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creator | Oldewurtel, Frauke Sturzenegger, David Morari, Manfred |
description | ► Investigation of occupancy information for energy efficient building climate control. ► Simulation study with different buildings, HVAC systems, seasons, and occupancy patterns. ► Adjusting lighting and ventilation to instantaneous measurements has large energy savings potential. ► Additional occupancy predictions do not provide significant energy savings potential.
This paper investigates the potential of using occupancy information to realize a more energy efficient building climate control. The study focuses on Swiss office buildings equipped with Integrated Room Automation (IRA), i.e. the integrated control of Heating, Ventilation, Air Conditioning (HVAC) as well as lighting and blind positioning of a building zone or room. To evaluate the energy savings potential, different types of occupancy information are used in a Model Predictive Control (MPC) framework, which is well-suited for this study due to its ability to readily include occupancy information in the control.
An MPC controller, which controls the building based on a standard fixed occupancy schedule, is used as a benchmark. The energy use of this benchmark is compared with three other control strategies: first, the same MPC controller which uses the same schedule for control as the benchmark, but turns off the lighting in case of (an instantaneous measurement of) vacancy; second, the same MPC controller which uses the same schedule as the benchmark for control, but turns off lighting and ventilation in case of (an instantaneous measurement of) vacancy; and third, the same MPC controller as the benchmark but using a perfect prediction about the upcoming occupancy.
This comparison is carried out for different buildings, HVAC systems, seasons and occupancy patterns in order to determine their influence on the energy savings potential. |
doi_str_mv | 10.1016/j.apenergy.2012.06.014 |
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This paper investigates the potential of using occupancy information to realize a more energy efficient building climate control. The study focuses on Swiss office buildings equipped with Integrated Room Automation (IRA), i.e. the integrated control of Heating, Ventilation, Air Conditioning (HVAC) as well as lighting and blind positioning of a building zone or room. To evaluate the energy savings potential, different types of occupancy information are used in a Model Predictive Control (MPC) framework, which is well-suited for this study due to its ability to readily include occupancy information in the control.
An MPC controller, which controls the building based on a standard fixed occupancy schedule, is used as a benchmark. The energy use of this benchmark is compared with three other control strategies: first, the same MPC controller which uses the same schedule for control as the benchmark, but turns off the lighting in case of (an instantaneous measurement of) vacancy; second, the same MPC controller which uses the same schedule as the benchmark for control, but turns off lighting and ventilation in case of (an instantaneous measurement of) vacancy; and third, the same MPC controller as the benchmark but using a perfect prediction about the upcoming occupancy.
This comparison is carried out for different buildings, HVAC systems, seasons and occupancy patterns in order to determine their influence on the energy savings potential.</description><identifier>ISSN: 0306-2619</identifier><identifier>EISSN: 1872-9118</identifier><identifier>DOI: 10.1016/j.apenergy.2012.06.014</identifier><identifier>CODEN: APENDX</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>air conditioning ; Air conditioning systems ; Air conditioning. Ventilation ; Applied sciences ; automation ; Building climate control ; Building technical equipments ; Buildings ; Buildings. Public works ; climate ; Energy ; energy conservation ; Energy efficiency ; Energy management and energy conservation in building ; Energy. Thermal use of fuels ; Environmental engineering ; Exact sciences and technology ; heat ; Heating, air conditioning and ventilation ; lighting ; Model predictive control ; Occupancy information ; prediction ; Rational use of energy: conservation and recovery of energy ; Technical data: comfort, insulation, loads, etc</subject><ispartof>Applied energy, 2013-01, Vol.101, p.521-532</ispartof><rights>2012 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-4fde4ffdc735d4115f5af7d568c8612fb1c47891352cdfaee73037f3f1a8845f3</citedby><cites>FETCH-LOGICAL-c465t-4fde4ffdc735d4115f5af7d568c8612fb1c47891352cdfaee73037f3f1a8845f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.apenergy.2012.06.014$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26685986$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Oldewurtel, Frauke</creatorcontrib><creatorcontrib>Sturzenegger, David</creatorcontrib><creatorcontrib>Morari, Manfred</creatorcontrib><title>Importance of occupancy information for building climate control</title><title>Applied energy</title><description>► Investigation of occupancy information for energy efficient building climate control. ► Simulation study with different buildings, HVAC systems, seasons, and occupancy patterns. ► Adjusting lighting and ventilation to instantaneous measurements has large energy savings potential. ► Additional occupancy predictions do not provide significant energy savings potential.
This paper investigates the potential of using occupancy information to realize a more energy efficient building climate control. The study focuses on Swiss office buildings equipped with Integrated Room Automation (IRA), i.e. the integrated control of Heating, Ventilation, Air Conditioning (HVAC) as well as lighting and blind positioning of a building zone or room. To evaluate the energy savings potential, different types of occupancy information are used in a Model Predictive Control (MPC) framework, which is well-suited for this study due to its ability to readily include occupancy information in the control.
An MPC controller, which controls the building based on a standard fixed occupancy schedule, is used as a benchmark. The energy use of this benchmark is compared with three other control strategies: first, the same MPC controller which uses the same schedule for control as the benchmark, but turns off the lighting in case of (an instantaneous measurement of) vacancy; second, the same MPC controller which uses the same schedule as the benchmark for control, but turns off lighting and ventilation in case of (an instantaneous measurement of) vacancy; and third, the same MPC controller as the benchmark but using a perfect prediction about the upcoming occupancy.
This comparison is carried out for different buildings, HVAC systems, seasons and occupancy patterns in order to determine their influence on the energy savings potential.</description><subject>air conditioning</subject><subject>Air conditioning systems</subject><subject>Air conditioning. Ventilation</subject><subject>Applied sciences</subject><subject>automation</subject><subject>Building climate control</subject><subject>Building technical equipments</subject><subject>Buildings</subject><subject>Buildings. Public works</subject><subject>climate</subject><subject>Energy</subject><subject>energy conservation</subject><subject>Energy efficiency</subject><subject>Energy management and energy conservation in building</subject><subject>Energy. Thermal use of fuels</subject><subject>Environmental engineering</subject><subject>Exact sciences and technology</subject><subject>heat</subject><subject>Heating, air conditioning and ventilation</subject><subject>lighting</subject><subject>Model predictive control</subject><subject>Occupancy information</subject><subject>prediction</subject><subject>Rational use of energy: conservation and recovery of energy</subject><subject>Technical data: comfort, insulation, loads, etc</subject><issn>0306-2619</issn><issn>1872-9118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUQIMoWKu_oLMR3MyYm8lrdpXiCwQX2nVIM0lJmU7GZCr0701pdevqPjj3wUHoGnAFGPj9utKD7W1c7SqCgVSYVxjoCZqAFKRsAOQpmuAa85JwaM7RRUprjDEBgido9roZQhx1b2wRXBGM2Q652BW-dyFu9OhDX-SsWG591_p-VZjO57YtTOjHGLpLdOZ0l-zVMU7R4unxc_5Svr0_v84f3kpDORtL6lpLnWuNqFlLAZhj2omWcWkkB-KWYKiQDdSMmNZpa0WNa-FqB1pKylw9RXeHvUMMX1ubRrXxydiu070N26SACCIoBdJklB9QE0NK0To1xPxz3CnAaq9MrdWvMrVXpjBXWVkevD3e0MnozsVswqe_acK5ZI3kmbs5cE4HpVcxM4uPvIjjvVfB6kzMDoTNSr69jSoZb7Pk1kdrRtUG_98zP_k_jws</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Oldewurtel, Frauke</creator><creator>Sturzenegger, David</creator><creator>Morari, Manfred</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>201301</creationdate><title>Importance of occupancy information for building climate control</title><author>Oldewurtel, Frauke ; Sturzenegger, David ; Morari, Manfred</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-4fde4ffdc735d4115f5af7d568c8612fb1c47891352cdfaee73037f3f1a8845f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>air conditioning</topic><topic>Air conditioning systems</topic><topic>Air conditioning. Ventilation</topic><topic>Applied sciences</topic><topic>automation</topic><topic>Building climate control</topic><topic>Building technical equipments</topic><topic>Buildings</topic><topic>Buildings. Public works</topic><topic>climate</topic><topic>Energy</topic><topic>energy conservation</topic><topic>Energy efficiency</topic><topic>Energy management and energy conservation in building</topic><topic>Energy. Thermal use of fuels</topic><topic>Environmental engineering</topic><topic>Exact sciences and technology</topic><topic>heat</topic><topic>Heating, air conditioning and ventilation</topic><topic>lighting</topic><topic>Model predictive control</topic><topic>Occupancy information</topic><topic>prediction</topic><topic>Rational use of energy: conservation and recovery of energy</topic><topic>Technical data: comfort, insulation, loads, etc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oldewurtel, Frauke</creatorcontrib><creatorcontrib>Sturzenegger, David</creatorcontrib><creatorcontrib>Morari, Manfred</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Applied energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oldewurtel, Frauke</au><au>Sturzenegger, David</au><au>Morari, Manfred</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Importance of occupancy information for building climate control</atitle><jtitle>Applied energy</jtitle><date>2013-01</date><risdate>2013</risdate><volume>101</volume><spage>521</spage><epage>532</epage><pages>521-532</pages><issn>0306-2619</issn><eissn>1872-9118</eissn><coden>APENDX</coden><abstract>► Investigation of occupancy information for energy efficient building climate control. ► Simulation study with different buildings, HVAC systems, seasons, and occupancy patterns. ► Adjusting lighting and ventilation to instantaneous measurements has large energy savings potential. ► Additional occupancy predictions do not provide significant energy savings potential.
This paper investigates the potential of using occupancy information to realize a more energy efficient building climate control. The study focuses on Swiss office buildings equipped with Integrated Room Automation (IRA), i.e. the integrated control of Heating, Ventilation, Air Conditioning (HVAC) as well as lighting and blind positioning of a building zone or room. To evaluate the energy savings potential, different types of occupancy information are used in a Model Predictive Control (MPC) framework, which is well-suited for this study due to its ability to readily include occupancy information in the control.
An MPC controller, which controls the building based on a standard fixed occupancy schedule, is used as a benchmark. The energy use of this benchmark is compared with three other control strategies: first, the same MPC controller which uses the same schedule for control as the benchmark, but turns off the lighting in case of (an instantaneous measurement of) vacancy; second, the same MPC controller which uses the same schedule as the benchmark for control, but turns off lighting and ventilation in case of (an instantaneous measurement of) vacancy; and third, the same MPC controller as the benchmark but using a perfect prediction about the upcoming occupancy.
This comparison is carried out for different buildings, HVAC systems, seasons and occupancy patterns in order to determine their influence on the energy savings potential.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.apenergy.2012.06.014</doi><tpages>12</tpages></addata></record> |
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subjects | air conditioning Air conditioning systems Air conditioning. Ventilation Applied sciences automation Building climate control Building technical equipments Buildings Buildings. Public works climate Energy energy conservation Energy efficiency Energy management and energy conservation in building Energy. Thermal use of fuels Environmental engineering Exact sciences and technology heat Heating, air conditioning and ventilation lighting Model predictive control Occupancy information prediction Rational use of energy: conservation and recovery of energy Technical data: comfort, insulation, loads, etc |
title | Importance of occupancy information for building climate control |
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