Sensor-based demand-controlled ventilation: a review

Detalhes bibliográficos
Autor(a) principal: Fisk, William J.
Data de Publicação: 1998
Outros Autores: Almeida, Aníbal T. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/4090
Resumo: With sensor-based demand-controlled ventilation (SBDCV), the rate of ventilation is modulated over time based on the signals from indoor air pollutant or occupancy sensors. SBDCV offers two potential advantages: better control of indoor pollutant concentrations, and lower energy use and peak energy demand. Based on theoretical considerations and on a review of literature, SBDCV has the highest potential to be cost-effective in applications with the following characteristics: (a) a single or small number of pollutants dominate so that ventilation sufficient to control the concentration of the dominant pollutants provides effective control of all other pollutants; (b) large buildings or rooms with unpredictable temporally variable occupancy or pollutant emission; and (c) climates with high heating or cooling loads or locations with expensive energy. At present, most SBDCV systems are based on monitoring and control of carbon dioxide (CO2) concentrations. There is a limited number of well-documented case studies that quantify the energy savings and the cost-effectiveness of SBDCV. The case studies reviewed suggest that in appropriate applications, SBDCV produces significant energy savings with a payback period typically of a few years.
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spelling Sensor-based demand-controlled ventilation: a reviewDemand-controlledIndoor air qualitySensorsVentilationWith sensor-based demand-controlled ventilation (SBDCV), the rate of ventilation is modulated over time based on the signals from indoor air pollutant or occupancy sensors. SBDCV offers two potential advantages: better control of indoor pollutant concentrations, and lower energy use and peak energy demand. Based on theoretical considerations and on a review of literature, SBDCV has the highest potential to be cost-effective in applications with the following characteristics: (a) a single or small number of pollutants dominate so that ventilation sufficient to control the concentration of the dominant pollutants provides effective control of all other pollutants; (b) large buildings or rooms with unpredictable temporally variable occupancy or pollutant emission; and (c) climates with high heating or cooling loads or locations with expensive energy. At present, most SBDCV systems are based on monitoring and control of carbon dioxide (CO2) concentrations. There is a limited number of well-documented case studies that quantify the energy savings and the cost-effectiveness of SBDCV. The case studies reviewed suggest that in appropriate applications, SBDCV produces significant energy savings with a payback period typically of a few years.http://www.sciencedirect.com/science/article/B6V2V-3W0FYSW-6/1/0c7fac94cabbf9f629496470865975001998info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4090http://hdl.handle.net/10316/4090engEnergy and Buildings. 29:1 (1998) 35-45Fisk, William J.Almeida, Aníbal T. deinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-05-25T12:06:31Zoai:estudogeral.uc.pt:10316/4090Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:53.831644Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Sensor-based demand-controlled ventilation: a review
title Sensor-based demand-controlled ventilation: a review
spellingShingle Sensor-based demand-controlled ventilation: a review
Fisk, William J.
Demand-controlled
Indoor air quality
Sensors
Ventilation
title_short Sensor-based demand-controlled ventilation: a review
title_full Sensor-based demand-controlled ventilation: a review
title_fullStr Sensor-based demand-controlled ventilation: a review
title_full_unstemmed Sensor-based demand-controlled ventilation: a review
title_sort Sensor-based demand-controlled ventilation: a review
author Fisk, William J.
author_facet Fisk, William J.
Almeida, Aníbal T. de
author_role author
author2 Almeida, Aníbal T. de
author2_role author
dc.contributor.author.fl_str_mv Fisk, William J.
Almeida, Aníbal T. de
dc.subject.por.fl_str_mv Demand-controlled
Indoor air quality
Sensors
Ventilation
topic Demand-controlled
Indoor air quality
Sensors
Ventilation
description With sensor-based demand-controlled ventilation (SBDCV), the rate of ventilation is modulated over time based on the signals from indoor air pollutant or occupancy sensors. SBDCV offers two potential advantages: better control of indoor pollutant concentrations, and lower energy use and peak energy demand. Based on theoretical considerations and on a review of literature, SBDCV has the highest potential to be cost-effective in applications with the following characteristics: (a) a single or small number of pollutants dominate so that ventilation sufficient to control the concentration of the dominant pollutants provides effective control of all other pollutants; (b) large buildings or rooms with unpredictable temporally variable occupancy or pollutant emission; and (c) climates with high heating or cooling loads or locations with expensive energy. At present, most SBDCV systems are based on monitoring and control of carbon dioxide (CO2) concentrations. There is a limited number of well-documented case studies that quantify the energy savings and the cost-effectiveness of SBDCV. The case studies reviewed suggest that in appropriate applications, SBDCV produces significant energy savings with a payback period typically of a few years.
publishDate 1998
dc.date.none.fl_str_mv 1998
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv Energy and Buildings. 29:1 (1998) 35-45
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