Abstract
This study aims to analyze the impact of renovation strategies on the air-conditioning load in existing residential districts in Shanghai by using the Grasshopper platform coupled with ENVI-met and EnergyPlus. These strategies include increasing the greening rate (G), improving pavement reflectivity and permeability (P), increasing the reflectivity of external wall coatings (C), increasing roof material reflectivity or applying green roofs (R), and improving the thermal performance of windows (W). The results show that microclimate and weather station data cause a 13.9% maximum deviation in energy consumption simulations. W and R4 significantly reduce the air-conditioning load throughout the year. W contributes to a decrease of 34.8 kWh in the cooling load and 110.4 kWh in the heating load. When the application level of P is low, and that of other strategies is high, the cooling load of the target building reaches its minimum. The minimum cooling load scenario is 302 kWh (25.1%) lower than the maximum. When the application level of G and C is low, other strategies have a high application level, and green roofs are used, the heating load of the target building is minimal. The minimum heating scenario is 386 kWh (29.3%) lower than the maximum.
Published Version
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