Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day.

Envi-met TRNSYS energy demand window-to-wall ratio

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
09 08 2021
Historique:
received: 04 07 2021
revised: 31 07 2021
accepted: 03 08 2021
entrez: 27 8 2021
pubmed: 28 8 2021
medline: 4 9 2021
Statut: epublish

Résumé

The window-to-wall ratio (WWR) significantly affects the indoor thermal environment, causing changes in buildings' energy demands. This research couples the "Envi-met" model and the "TRNSYS" model to predict the impact of the window-to-wall ratio on indoor cooling energy demands in south Hunan. With the coupled model, "Envi-met + TRNSYS", fixed meteorological parameters around the exterior walls are replaced by varied data provided by Envi-met. This makes TRNSYS predictions more accurate. Six window-to-wall ratios are considered in this research, and in each scenario, the electricity demand for cooling is predicted using "Envi-met + TRNSYS". Based on the classification of thermal perception in south Hunan, the TRNSYS predictions of the electricity demand start with 30 °C as the threshold of refrigeration. The analytical results reveal that in a 6-storey residential building with 24 households, in order to maintain the air temperature below 30 °C, the electricity required for cooling buildings with 0% WWR, 20% WWR, 40% WWR, 60% WWR, 80% WWR, and 100% WWR are respectively 0 KW·h, 19.6 KW·h, 133.7 KW·h, 273.1 KW·h, 374.5 KW·h, and 461.9 KW·h. This method considers the influence of microclimate on the exterior wall and improves the accuracy of TRNSYS in predicting the energy demand for indoor cooling.

Identifiants

pubmed: 34444161
pii: ijerph18168411
doi: 10.3390/ijerph18168411
pmc: PMC8393238
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

Int J Biometeorol. 2013 Nov;57(6):895-907
pubmed: 23250734

Auteurs

Jiayu Li (J)

School of Architecture and Art, Central South University, Changsha 410083, China.

Bohong Zheng (B)

School of Architecture and Art, Central South University, Changsha 410083, China.

Komi Bernard Bedra (KB)

School of Architecture and Art, Central South University, Changsha 410083, China.

Zhe Li (Z)

School of Architecture and Art, Central South University, Changsha 410083, China.

Xiao Chen (X)

College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China.

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