Multi-Performance Characterization of a Modular Wooden House

João M. P. Q. Delgado (), Ricardo M. S. F. Almeida, Ana M. Matos, Eva Barreira, Luísa Carvalho, Jorge Martins, Nuno Ferreira and Ana S. Guimarães
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João M. P. Q. Delgado: CONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Ricardo M. S. F. Almeida: CONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Ana M. Matos: CONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Eva Barreira: CONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Luísa Carvalho: Instituto Politécnico de Viseu, Campus Politécnico, 3504-510 Viseu, Portugal
Jorge Martins: Instituto Politécnico de Viseu, Campus Politécnico, 3504-510 Viseu, Portugal
Nuno Ferreira: ARCP—Associação Rede de Competência em Polímeros, 4200-355 Porto, Portugal
Ana S. Guimarães: CONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal

Energies, 2023, vol. 16, issue 15, 1-16

Abstract: Although not a new concept, modular construction has been the target of increasing interest and investment in recent years. Modular wood construction systems have economic and environmental advantages, as wood is a natural and locally available raw material with interesting thermal properties. In this context, the BlueWoodenHouse Project, a closed cooperation project between academy and industry, aims to improve the actual knowledge of modular wood construction in Portugal. Among other objectives, the project aims to characterize the solutions, systems, and materials used in wooden modular construction, specifically in a modular wooden, single-family house in full use. Afterward, the house was monitored for 1 year (temperature, relative humidity, and CO 2 ) and the data collected were analyzed and the interior thermal comfort was evaluated. The results of CO 2 concentration monitoring indicate adequate air renewal rates, except for some periods in the bedroom, during the night. Additionally, application of the adaptive comfort model proposed by the EN 16798-2 standard resulted in a percentage of time in discomfort due to overcooling ranging between 31.3% and 38.6%. However, most of these periods may correspond to times when there is no occupancy of these spaces.

Keywords: modular wooden construction; monitoring; data acquisition; thermal comfort; energy efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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