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...
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Veröffentlicht in: | Building and environment 2012, Vol.47, p.373-384 |
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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 |
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► 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>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24751133$$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 & 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> |
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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 |
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