2021
DOI: 10.3390/ijerph18168411
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Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day

Abstract: 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 ra… Show more

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Cited by 11 publications
(3 citation statements)
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“…The indoor temperature is predicted by calculating the energy fluxes through the building envelope. The indoor air temperature calculated by Envi-met follows Equation (1) [37].…”
Section: Simulation Toolmentioning
confidence: 99%
“…The indoor temperature is predicted by calculating the energy fluxes through the building envelope. The indoor air temperature calculated by Envi-met follows Equation (1) [37].…”
Section: Simulation Toolmentioning
confidence: 99%
“…In this paper Li, J. Zheng et al [13] investigates the thermal indoor quality of the buildings. The window-to-wall ratio (WWR) altogether influences the indoor warm environment, causing changes in residents' energy demands.…”
Section: Fig 5 : Different Variants With Correspondingsmentioning
confidence: 99%
“…The building envelope significantly influences the indoor thermal and humidity environment. Jiayu et al [ 12 ] combined with the "Envi-met" model and the "TRNSYS" model to predict the impact of the window-to-wall ratio on indoor cooling energy demand in southern Hunan. Qin [ 13 ] established a coupled model associated with heat and moisture transfer in the building envelope based on multi-regional moisture and heat flow to evaluate the impact of humidity on indoor air quality and building energy consumption.…”
Section: Introductionmentioning
confidence: 99%