Reconsideration of parameter estimation and reliability evaluation methods for building airtightness measurement using fan pressurization

Building airtightness is among the most important performance indices of healthy indoor air quality, condensation, the building stack effect, and heating and cooling load caused by infiltration. Performance parameters are usually measured by testing methods involving pressurization or depressurizati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Building and environment 2012, Vol.47, p.373-384
Hauptverfasser: Okuyama, Hiroyasu, Onishi, Yoshinori
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 384
container_issue
container_start_page 373
container_title Building and environment
container_volume 47
creator Okuyama, Hiroyasu
Onishi, Yoshinori
description Building airtightness is among the most important performance indices of healthy indoor air quality, condensation, the building stack effect, and heating and cooling load caused by infiltration. Performance parameters are usually measured by testing methods involving pressurization or depressurization by means of a mechanical fan. Similar testing standards have now been established in ISO, ASTM, and JIS. All methods entail finding two parameters from some measurements of the inside and outside pressure difference and the airflow rate. Although these measurement data analysis methods are described in informative annexes, these are important techniques and have problems to be reconsidered and solved as a stochastic estimation and uncertainty evaluation. In the present paper, we examine improvement using weighted least-squares, correction of the parameter estimation equation, and deduction of the uncertainty propagation equation from not only the measurement uncertainty but also the residual of the model equation. Also, a reliability evaluation index capable of checking the appropriateness of the measurement is proposed. Through a computational experiment, the precision of the estimated parameters, the uncertainty of these parameters, and the reliability indices are investigated. Further, the present method is applied to actual measurement data and its practicality is also verified. ► Weighted least-squares are derived for two parameters of building air tightness. ► Error propagation is calculated from equation residual and measurement uncertainty. ► Index β evaluates discrepancy from the premises of the system identification model. ► Robustness against sudden disturbance and evaluation of uncertainty are improved. ► Method is verified through both numerical calculations and actual measurements.
doi_str_mv 10.1016/j.buildenv.2011.06.027
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_904481847</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360132311002071</els_id><sourcerecordid>1777151694</sourcerecordid><originalsourceid>FETCH-LOGICAL-c407t-dbfa7c46c315b8969e77a4849d8a580ab2facfb1a803c9e9e7abdf267b9746493</originalsourceid><addsrcrecordid>eNqFkV9rFDEUxYNYcG39CpIX0ZcZk0k2ybwpxX9QKBQF38KdzE2bZTZZk5mF-g381mY71Ud9CuT8zr3JOYS85KzljKu3u3ZYwjRiPLYd47xlqmWdfkI23GjRKCO_PyUbJhRruOjEM_K8lB2rxl7IDfl1gy7FEkbMMIcUafL0ABn2OGOmWOawX-8hjjTjFGAIU5jvKR5hWlapsndpLNSnTB-eEuIthZDncHs3RyylElCWjHuMM13KSfYQ6SFXbcnh58OYC3LmYSr44vE8J98-fvh6-bm5uv705fL9VeMk03MzDh60k8oJvh1Mr3rUGqSR_WhgaxgMnQfnBw6GCddjlWEYfaf00GupZC_Oyet17iGnH0v9od2H4nCaIGJaiu2ZlIYbqSv55p8k11rzbQ1SVlStqMuplIzeHnJNLt9bzuypJbuzf1qyp5YsU7a2VI2vHndAcTD5DNGF8tfdSb3lXIjKvVs5rNEcA2ZbXMDocAwZ3WzHFP636jd8hrEI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1777151694</pqid></control><display><type>article</type><title>Reconsideration of parameter estimation and reliability evaluation methods for building airtightness measurement using fan pressurization</title><source>Elsevier ScienceDirect Journals</source><creator>Okuyama, Hiroyasu ; Onishi, Yoshinori</creator><creatorcontrib>Okuyama, Hiroyasu ; Onishi, Yoshinori</creatorcontrib><description>Building airtightness is among the most important performance indices of healthy indoor air quality, condensation, the building stack effect, and heating and cooling load caused by infiltration. Performance parameters are usually measured by testing methods involving pressurization or depressurization by means of a mechanical fan. Similar testing standards have now been established in ISO, ASTM, and JIS. All methods entail finding two parameters from some measurements of the inside and outside pressure difference and the airflow rate. Although these measurement data analysis methods are described in informative annexes, these are important techniques and have problems to be reconsidered and solved as a stochastic estimation and uncertainty evaluation. In the present paper, we examine improvement using weighted least-squares, correction of the parameter estimation equation, and deduction of the uncertainty propagation equation from not only the measurement uncertainty but also the residual of the model equation. Also, a reliability evaluation index capable of checking the appropriateness of the measurement is proposed. Through a computational experiment, the precision of the estimated parameters, the uncertainty of these parameters, and the reliability indices are investigated. Further, the present method is applied to actual measurement data and its practicality is also verified. ► Weighted least-squares are derived for two parameters of building air tightness. ► Error propagation is calculated from equation residual and measurement uncertainty. ► Index β evaluates discrepancy from the premises of the system identification model. ► Robustness against sudden disturbance and evaluation of uncertainty are improved. ► Method is verified through both numerical calculations and actual measurements.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2011.06.027</identifier><identifier>CODEN: BUENDB</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Airtightness ; Applied sciences ; Building airtightness ; Building technical equipments ; Buildings ; Buildings. Public works ; Computation methods. Tables. Charts ; Discrepancy ratio ; Environmental engineering ; Exact sciences and technology ; Mathematical analysis ; Mathematical models ; Parameter estimation ; Pollution indoor buildings ; Pressurization ; Pressurizing ; Reliability evaluation ; Structural analysis. Stresses ; Testing method ; Uncertainty ; Uncertainty propagation ; Ventilation. Air conditioning ; Weighted least-squares</subject><ispartof>Building and environment, 2012, Vol.47, p.373-384</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c407t-dbfa7c46c315b8969e77a4849d8a580ab2facfb1a803c9e9e7abdf267b9746493</citedby><cites>FETCH-LOGICAL-c407t-dbfa7c46c315b8969e77a4849d8a580ab2facfb1a803c9e9e7abdf267b9746493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.buildenv.2011.06.027$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,4010,27904,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24751133$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Okuyama, Hiroyasu</creatorcontrib><creatorcontrib>Onishi, Yoshinori</creatorcontrib><title>Reconsideration of parameter estimation and reliability evaluation methods for building airtightness measurement using fan pressurization</title><title>Building and environment</title><description>Building airtightness is among the most important performance indices of healthy indoor air quality, condensation, the building stack effect, and heating and cooling load caused by infiltration. Performance parameters are usually measured by testing methods involving pressurization or depressurization by means of a mechanical fan. Similar testing standards have now been established in ISO, ASTM, and JIS. All methods entail finding two parameters from some measurements of the inside and outside pressure difference and the airflow rate. Although these measurement data analysis methods are described in informative annexes, these are important techniques and have problems to be reconsidered and solved as a stochastic estimation and uncertainty evaluation. In the present paper, we examine improvement using weighted least-squares, correction of the parameter estimation equation, and deduction of the uncertainty propagation equation from not only the measurement uncertainty but also the residual of the model equation. Also, a reliability evaluation index capable of checking the appropriateness of the measurement is proposed. Through a computational experiment, the precision of the estimated parameters, the uncertainty of these parameters, and the reliability indices are investigated. Further, the present method is applied to actual measurement data and its practicality is also verified. ► Weighted least-squares are derived for two parameters of building air tightness. ► Error propagation is calculated from equation residual and measurement uncertainty. ► Index β evaluates discrepancy from the premises of the system identification model. ► Robustness against sudden disturbance and evaluation of uncertainty are improved. ► Method is verified through both numerical calculations and actual measurements.</description><subject>Airtightness</subject><subject>Applied sciences</subject><subject>Building airtightness</subject><subject>Building technical equipments</subject><subject>Buildings</subject><subject>Buildings. Public works</subject><subject>Computation methods. Tables. Charts</subject><subject>Discrepancy ratio</subject><subject>Environmental engineering</subject><subject>Exact sciences and technology</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Parameter estimation</subject><subject>Pollution indoor buildings</subject><subject>Pressurization</subject><subject>Pressurizing</subject><subject>Reliability evaluation</subject><subject>Structural analysis. Stresses</subject><subject>Testing method</subject><subject>Uncertainty</subject><subject>Uncertainty propagation</subject><subject>Ventilation. Air conditioning</subject><subject>Weighted least-squares</subject><issn>0360-1323</issn><issn>1873-684X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkV9rFDEUxYNYcG39CpIX0ZcZk0k2ybwpxX9QKBQF38KdzE2bZTZZk5mF-g381mY71Ud9CuT8zr3JOYS85KzljKu3u3ZYwjRiPLYd47xlqmWdfkI23GjRKCO_PyUbJhRruOjEM_K8lB2rxl7IDfl1gy7FEkbMMIcUafL0ABn2OGOmWOawX-8hjjTjFGAIU5jvKR5hWlapsndpLNSnTB-eEuIthZDncHs3RyylElCWjHuMM13KSfYQ6SFXbcnh58OYC3LmYSr44vE8J98-fvh6-bm5uv705fL9VeMk03MzDh60k8oJvh1Mr3rUGqSR_WhgaxgMnQfnBw6GCddjlWEYfaf00GupZC_Oyet17iGnH0v9od2H4nCaIGJaiu2ZlIYbqSv55p8k11rzbQ1SVlStqMuplIzeHnJNLt9bzuypJbuzf1qyp5YsU7a2VI2vHndAcTD5DNGF8tfdSb3lXIjKvVs5rNEcA2ZbXMDocAwZ3WzHFP636jd8hrEI</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>Okuyama, Hiroyasu</creator><creator>Onishi, Yoshinori</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>7ST</scope><scope>7TV</scope><scope>SOI</scope></search><sort><creationdate>2012</creationdate><title>Reconsideration of parameter estimation and reliability evaluation methods for building airtightness measurement using fan pressurization</title><author>Okuyama, Hiroyasu ; Onishi, Yoshinori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c407t-dbfa7c46c315b8969e77a4849d8a580ab2facfb1a803c9e9e7abdf267b9746493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Airtightness</topic><topic>Applied sciences</topic><topic>Building airtightness</topic><topic>Building technical equipments</topic><topic>Buildings</topic><topic>Buildings. Public works</topic><topic>Computation methods. Tables. Charts</topic><topic>Discrepancy ratio</topic><topic>Environmental engineering</topic><topic>Exact sciences and technology</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Parameter estimation</topic><topic>Pollution indoor buildings</topic><topic>Pressurization</topic><topic>Pressurizing</topic><topic>Reliability evaluation</topic><topic>Structural analysis. Stresses</topic><topic>Testing method</topic><topic>Uncertainty</topic><topic>Uncertainty propagation</topic><topic>Ventilation. Air conditioning</topic><topic>Weighted least-squares</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Okuyama, Hiroyasu</creatorcontrib><creatorcontrib>Onishi, Yoshinori</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Building and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Okuyama, Hiroyasu</au><au>Onishi, Yoshinori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reconsideration of parameter estimation and reliability evaluation methods for building airtightness measurement using fan pressurization</atitle><jtitle>Building and environment</jtitle><date>2012</date><risdate>2012</risdate><volume>47</volume><spage>373</spage><epage>384</epage><pages>373-384</pages><issn>0360-1323</issn><eissn>1873-684X</eissn><coden>BUENDB</coden><abstract>Building airtightness is among the most important performance indices of healthy indoor air quality, condensation, the building stack effect, and heating and cooling load caused by infiltration. Performance parameters are usually measured by testing methods involving pressurization or depressurization by means of a mechanical fan. Similar testing standards have now been established in ISO, ASTM, and JIS. All methods entail finding two parameters from some measurements of the inside and outside pressure difference and the airflow rate. Although these measurement data analysis methods are described in informative annexes, these are important techniques and have problems to be reconsidered and solved as a stochastic estimation and uncertainty evaluation. In the present paper, we examine improvement using weighted least-squares, correction of the parameter estimation equation, and deduction of the uncertainty propagation equation from not only the measurement uncertainty but also the residual of the model equation. Also, a reliability evaluation index capable of checking the appropriateness of the measurement is proposed. Through a computational experiment, the precision of the estimated parameters, the uncertainty of these parameters, and the reliability indices are investigated. Further, the present method is applied to actual measurement data and its practicality is also verified. ► Weighted least-squares are derived for two parameters of building air tightness. ► Error propagation is calculated from equation residual and measurement uncertainty. ► Index β evaluates discrepancy from the premises of the system identification model. ► Robustness against sudden disturbance and evaluation of uncertainty are improved. ► Method is verified through both numerical calculations and actual measurements.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2011.06.027</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0360-1323
ispartof Building and environment, 2012, Vol.47, p.373-384
issn 0360-1323
1873-684X
language eng
recordid cdi_proquest_miscellaneous_904481847
source Elsevier ScienceDirect Journals
subjects Airtightness
Applied sciences
Building airtightness
Building technical equipments
Buildings
Buildings. Public works
Computation methods. Tables. Charts
Discrepancy ratio
Environmental engineering
Exact sciences and technology
Mathematical analysis
Mathematical models
Parameter estimation
Pollution indoor buildings
Pressurization
Pressurizing
Reliability evaluation
Structural analysis. Stresses
Testing method
Uncertainty
Uncertainty propagation
Ventilation. Air conditioning
Weighted least-squares
title Reconsideration of parameter estimation and reliability evaluation methods for building airtightness measurement using fan pressurization
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T01%3A44%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reconsideration%20of%20parameter%20estimation%20and%20reliability%20evaluation%20methods%20for%20building%20airtightness%20measurement%20using%20fan%20pressurization&rft.jtitle=Building%20and%20environment&rft.au=Okuyama,%20Hiroyasu&rft.date=2012&rft.volume=47&rft.spage=373&rft.epage=384&rft.pages=373-384&rft.issn=0360-1323&rft.eissn=1873-684X&rft.coden=BUENDB&rft_id=info:doi/10.1016/j.buildenv.2011.06.027&rft_dat=%3Cproquest_cross%3E1777151694%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1777151694&rft_id=info:pmid/&rft_els_id=S0360132311002071&rfr_iscdi=true