Greenroofs are increasingly popular throughout the world. Radiative properties of greenroofs are important for the analysis and enhancement of their thermal performance. The radiative properties of a typical Sedum lineare greenroof were studied in this paper. Experimental results revealed that the solar radiation absorptivity, longwave radiation absorptivity and emissivity of this Sedum lineare greenroof were 0.84, 1.0 and 1.0 respectively.

To provide a more accurate prediction of building energy consumption, it is necessary to take into account the influence of the microclimate around a building establishing through the interaction with other buildings or the natural environment. This paper presents a method for the quantitative assessment of building performance under any given urban context by linking the urban microclimate model ENVI-met to the building energy simulation (BES) program EnergyPlus. The full microclimatic factors such as solar radiation, thermal radiation, outdoor air temperature, humidity, and wind speed have been considered in the proposed scheme. The method outlined in this paper could be useful for urban and building optimal design.

In this work, a field survey is performed in 309 residential building clusters in South China to obtain the basic characters of urban planning and design of residential buildings in this area. Based on it, the basic model of residential building clusters in this area is established, and CFD method is used to simulate the outdoor wind environment around residential buildings with different planning and design factors. The influence of building coverage ratio on the pedestrian spatial mean velocity ratio under 16 wind directions is found to be more remarkable than those of the floor area ratio and building layout. 10% increase of the building coverage ratio results in 0.1 linear decrease of the mean velocity ratio under 16 wind directions at the pedestrian level.

In the thermal environment which influences people's life, air temperature 1.5m high is the most important and direct. Through remote sensing we can quickly get the object surface temperature. But the air temperature can’t be got through it directly. [1]If we can excogitate the method of working-out the air temperature 1.5m high from the altitude remote sensing aerial data, the relate research on the urban thermal environment will be convenient and efficient. This paper is written to research this method and analyze the feasibility by means of analysing the relationship between the radiation brightness temperature, the underlay surface temperature and the air temperature 1.5m high.