This work is part of a large experimental study on the distribution of internal temperatures in two similar test cells, but with different systems of coverage. The main goal of this paper is to present results on an e...This work is part of a large experimental study on the distribution of internal temperatures in two similar test cells, but with different systems of coverage. The main goal of this paper is to present results on an experimental field to determine the influence of solar radiation on the internal environmental conditions of different roof systems. Dry bulb temperature and internal surface temperatures were measured in two test cells with different roof systems （green roof and conventional ceramic roof）. Their thermal performances were compared on days with differing air mass domain, based on dynamic climatic approach. This research was based on the spatial and temporal approaches of dynamic climatology, from the climatic regime of the city of Itirapina, S^o Paulo State, analysed as representative episodes. Climatic data were provided by an automatic weather station and verified by satellite imagery, and the internal temperatures of the cells were collected by thermocouples installed on the surfaces of ceilings, floors, walls, and suspended inside the buildings. The results indicate that the solar radiation is mainly responsible for the great variations in temperature and its impact on indoor environments, since there were great differences in temperature inside comparing the two days of the experiment. This refutes the notion that the outside temperature is responsible for daily variations in temperature inside buildings.展开更多
The Angstrom-Prescott formula is commonly used in climatological calculation methods of solar radiation simulation. Fitting the coefficients is carried out using linear regression and in recent years it has been found...The Angstrom-Prescott formula is commonly used in climatological calculation methods of solar radiation simulation. Fitting the coefficients is carried out using linear regression and in recent years it has been found that these coefifcients have obvious spatial variability. A common solution is to divide the study area into several subregions and ift the coefifcients one by one. Here, we use ground observation data for sunshine hours and solar radiation from 1961 to 2010. Adopting extraterrestrial radiation as the initial value, Angstrom-Prescott coefifcients are obtained by Geographically Weighted Regression at a national scale. The surfaces of solar radiation are obtained on the basis of the surfaces of sunshine hours interpolated by high accuracy surface modeling and astronomical radiation;results from spatial y nonstationary and error comparison tests show that Angstrom-Prescott coefifcients have signiifcant spatial nonstationarity. Compared to existing research methods, the method presented here achieves a better simulation effect.展开更多
文摘This work is part of a large experimental study on the distribution of internal temperatures in two similar test cells, but with different systems of coverage. The main goal of this paper is to present results on an experimental field to determine the influence of solar radiation on the internal environmental conditions of different roof systems. Dry bulb temperature and internal surface temperatures were measured in two test cells with different roof systems （green roof and conventional ceramic roof）. Their thermal performances were compared on days with differing air mass domain, based on dynamic climatic approach. This research was based on the spatial and temporal approaches of dynamic climatology, from the climatic regime of the city of Itirapina, S^o Paulo State, analysed as representative episodes. Climatic data were provided by an automatic weather station and verified by satellite imagery, and the internal temperatures of the cells were collected by thermocouples installed on the surfaces of ceilings, floors, walls, and suspended inside the buildings. The results indicate that the solar radiation is mainly responsible for the great variations in temperature and its impact on indoor environments, since there were great differences in temperature inside comparing the two days of the experiment. This refutes the notion that the outside temperature is responsible for daily variations in temperature inside buildings.
基金National Key Technologies R&D Program of China(2013BAC03B05)National High-tech R&D Program of China(2013AA122003)
文摘The Angstrom-Prescott formula is commonly used in climatological calculation methods of solar radiation simulation. Fitting the coefficients is carried out using linear regression and in recent years it has been found that these coefifcients have obvious spatial variability. A common solution is to divide the study area into several subregions and ift the coefifcients one by one. Here, we use ground observation data for sunshine hours and solar radiation from 1961 to 2010. Adopting extraterrestrial radiation as the initial value, Angstrom-Prescott coefifcients are obtained by Geographically Weighted Regression at a national scale. The surfaces of solar radiation are obtained on the basis of the surfaces of sunshine hours interpolated by high accuracy surface modeling and astronomical radiation;results from spatial y nonstationary and error comparison tests show that Angstrom-Prescott coefifcients have signiifcant spatial nonstationarity. Compared to existing research methods, the method presented here achieves a better simulation effect.
