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• W4206055238 endingPage "111839" @default.
• W4206055238 startingPage "111839" @default.
• W4206055238 abstract "• A prediction method (PredicTAIL) was developed to assess the IEQ in buildings. • The PredicTAIL method predicts the changes in IEQ due to deep energy renovation. • The PredicTAIL method was validated using measurement results from two buildings. • The sensitivity of the PredicTAIL method was verified by four simulation scenarios. • Energy renovation can improve or degrade a building’s IEQ depending on the strategy. The recently developed TAIL rating scheme enables assessment of the changes in the indoor environmental quality (IEQ) associated with a building’s deep energy renovation (DER) and classification of the resulting quality levels of the thermal (T), acoustic (A), and luminous (visual) (L) environments and indoor air quality (I). Since the TAIL rating is primarily based on measurements, it cannot be determined prior to renovation operations to help design the IEQ. To fill this gap, the PredicTAIL method was developed in the present study to predict the changes in ten of the twelve TAIL parameters as a result of DER. These parameters are indoor air temperature, relative humidity, sound pressure level, daylight factor, illuminance, and concentrations of carbon dioxide, formaldehyde, benzene, radon, and PM 2.5 ; no prediction is made for ventilation rate or mold. To examine the feasibility of the PredicTAIL method and the sensitivity of the existing models for quantifying changes in the TAIL parameters corresponding to different renovation strategies, simulations were performed in a hotel and an office building using TRNSYS, IDA ICE, ACOUBAT, MATHIS-QAI, and PHANIE. These modeling tools were first benchmarked against the TAIL parameters measured in the buildings before renovation. Once the agreement between measurements and modeling was considered acceptable, four pragmatic renovation scenarios were applied, and their impact on the IEQ parameters was quantitatively modeled. The simulations showed that the quality levels of the IEQ parameters were improved or unchanged for some parameters but degraded for other parameters after DER. The changes in the IEQ parameters and the TAIL rating depended on the renovation scenarios, suggesting that the PredicTAIL method is sufficiently sensitive to guide renovation design." @default.
• W4206055238 created "2022-01-26" @default.
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• W4206055238 date "2022-03-01" @default.
• W4206055238 modified "2023-10-17" @default.
• W4206055238 title "PredicTAIL, a prediction method for indoor environmental quality in buildings undergoing deep energy renovation based on the TAIL rating scheme" @default.
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• W4206055238 doi "https://doi.org/10.1016/j.enbuild.2022.111839" @default.
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