elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Uncertainty in building airtightness tests: Comparison of regression techniques using a comprehensive dataset of 6,000 tests

Kölsch, Benedikt und Leprince, Valérie und Zeller, Joachim und Walker, Iain S. (2025) Uncertainty in building airtightness tests: Comparison of regression techniques using a comprehensive dataset of 6,000 tests. Energy and Buildings, 330, Seite 115328. Elsevier. doi: 10.1016/j.enbuild.2025.115328. ISSN 0378-7788.

[img] PDF - Verlagsversion (veröffentlichte Fassung)
4MB

Kurzfassung

Building airtightness is important for enhancing energy efficiency and indoor air quality. Consequently, many regulations now mandate specific airtightness levels for new constructions, necessitating accurate measurements to ensure compliance. The conventional Ordinary Least Squares (OLS) regression, recommended by ISO 9972, is inaccurate, particularly under varying environmental conditions. Thus, this study evaluates different regression techniques, including Ordinary Least Squares (OLS), Weighted Least Squares (WLS), and Weighted Line of Organic Correlation (WLOC) regression, to improve uncertainty estimates in building airtightness measurements. Analyzing over 6,000 blower door tests across 127 configurations in six houses, this research compares the accuracy of these methods and introduces a second variant of Weighted Line of Organic Correlation (WLOC_2), which applies a simplified weighting procedure. Findings indicate that while all methods are similar in predicting the airflow at 50 Pa, WLS and WLOC_2 reduce prediction error by up to 6 percentage points at 4 Pa, where reference values are determined by averaging measurements taken at low wind speeds for each configuration. At 50 Pa, the OLS 95 % confidence interval covers the reference airtightness value for only 25 % of the data, compared to WLOC_2 with 42 % and WLS with 91 %. At 4 Pa, OLS includes only 21 % of measurements, while WLS overestimates uncertainty, covering all measurements, and WLOC_2 includes 82 % of the measurements within its confidence intervals. These results support incorporating weighted regression methods, which better account for variability at low pressures, into airtightness testing standards.

elib-URL des Eintrags:https://elib.dlr.de/212191/
Dokumentart:Zeitschriftenbeitrag
Titel:Uncertainty in building airtightness tests: Comparison of regression techniques using a comprehensive dataset of 6,000 tests
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kölsch, Benediktbenedikt.koelsch (at) dlr.dehttps://orcid.org/0000-0003-3564-9822NICHT SPEZIFIZIERT
Leprince, ValérieCeremaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zeller, JoachimIngenieurbüro ZellerNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Walker, Iain S.Lawrence Berkeley National Laboratoryhttps://orcid.org/0000-0001-9667-1797NICHT SPEZIFIZIERT
Datum:18 Januar 2025
Erschienen in:Energy and Buildings
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:330
DOI:10.1016/j.enbuild.2025.115328
Seitenbereich:Seite 115328
Verlag:Elsevier
ISSN:0378-7788
Status:veröffentlicht
Stichwörter:Airtightness; ISO 9972; Fan pressurization test; Ordinary least square regression; Weighted least square regression; Weighted line of organic correlation; Uncertainty
HGF - Forschungsbereich:Energie
HGF - Programm:Materialien und Technologien für die Energiewende
HGF - Programmthema:Thermische Hochtemperaturtechnologien
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SW - Solar- und Windenergie
DLR - Teilgebiet (Projekt, Vorhaben):E - Condition Monitoring
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Solarforschung > Qualifizierung
Hinterlegt von: Kölsch, Dr.-Ing. Benedikt
Hinterlegt am:27 Jan 2025 09:14
Letzte Änderung:27 Jan 2025 09:14

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.