Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/28092 |
Resumo: | This paper describes a method for estimating ventilation rates in a window-aired room considering “in-use” conditions and uncertainty in occupancy (CO2 release) and in measurements of indoor air CO2 concentration. Estimates are drawn from indoor air mass conservation principles and an Extended Kalman Filter, serving as state observer. The modelling procedure is described and tested against synthetic time series generated from pseudorandom values of occupancy and ventilation rate. Additionally, data collected from a case study (a window-aired classroom) is used to illustrate how the procedure is applied and its practical interest. Test results confirm the state observer’s tracking capability and confirm its ability to reconstruct ventilation rates in the presence of sudden changes caused by window opening/ closing and intermittent occupancy. Results for the case study highlight the benefits to designers and ultimately to occupants, derived from knowledge of ventilation rates in window-aired rooms. |
id |
RCAP_255df1904e17045aae68aa6e33248b00 |
---|---|
oai_identifier_str |
oai:comum.rcaap.pt:10400.26/28092 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentrationNatural ventilationWindow airingManual opening of windowsExtended Kalman FilterState observerSchool classroomThis paper describes a method for estimating ventilation rates in a window-aired room considering “in-use” conditions and uncertainty in occupancy (CO2 release) and in measurements of indoor air CO2 concentration. Estimates are drawn from indoor air mass conservation principles and an Extended Kalman Filter, serving as state observer. The modelling procedure is described and tested against synthetic time series generated from pseudorandom values of occupancy and ventilation rate. Additionally, data collected from a case study (a window-aired classroom) is used to illustrate how the procedure is applied and its practical interest. Test results confirm the state observer’s tracking capability and confirm its ability to reconstruct ventilation rates in the presence of sudden changes caused by window opening/ closing and intermittent occupancy. Results for the case study highlight the benefits to designers and ultimately to occupants, derived from knowledge of ventilation rates in window-aired rooms.ElsevierRepositório ComumDuarte, RogérioGomes, Maria da GlóriaRodrigues, António Moret2019-03-20T10:40:55Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/28092engDuarte, R., Gomes, M. G. & Rodrigues, A. M. (2018). stimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration. Building and Environment, 143, pp. 691-700. doi: 10.1016/j.buildenv.2018.07.0160360-1323https://doi.org/10.1016/j.buildenv.2018.07.016info: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:RCAAP2023-11-21T09:54:51Zoai:comum.rcaap.pt:10400.26/28092Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:10:40.377162Repositório 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 |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
title |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
spellingShingle |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration Duarte, Rogério Natural ventilation Window airing Manual opening of windows Extended Kalman Filter State observer School classroom |
title_short |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
title_full |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
title_fullStr |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
title_full_unstemmed |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
title_sort |
Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration |
author |
Duarte, Rogério |
author_facet |
Duarte, Rogério Gomes, Maria da Glória Rodrigues, António Moret |
author_role |
author |
author2 |
Gomes, Maria da Glória Rodrigues, António Moret |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Duarte, Rogério Gomes, Maria da Glória Rodrigues, António Moret |
dc.subject.por.fl_str_mv |
Natural ventilation Window airing Manual opening of windows Extended Kalman Filter State observer School classroom |
topic |
Natural ventilation Window airing Manual opening of windows Extended Kalman Filter State observer School classroom |
description |
This paper describes a method for estimating ventilation rates in a window-aired room considering “in-use” conditions and uncertainty in occupancy (CO2 release) and in measurements of indoor air CO2 concentration. Estimates are drawn from indoor air mass conservation principles and an Extended Kalman Filter, serving as state observer. The modelling procedure is described and tested against synthetic time series generated from pseudorandom values of occupancy and ventilation rate. Additionally, data collected from a case study (a window-aired classroom) is used to illustrate how the procedure is applied and its practical interest. Test results confirm the state observer’s tracking capability and confirm its ability to reconstruct ventilation rates in the presence of sudden changes caused by window opening/ closing and intermittent occupancy. Results for the case study highlight the benefits to designers and ultimately to occupants, derived from knowledge of ventilation rates in window-aired rooms. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2019-03-20T10:40:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/28092 |
url |
http://hdl.handle.net/10400.26/28092 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Duarte, R., Gomes, M. G. & Rodrigues, A. M. (2018). stimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration. Building and Environment, 143, pp. 691-700. doi: 10.1016/j.buildenv.2018.07.016 0360-1323 https://doi.org/10.1016/j.buildenv.2018.07.016 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799135373906935808 |