Patent AU-2021103663-A4 (AU)
Title: Method, system and device for measuring building operational energy consumption carbon emissions with high resolution
Inventor: YE HONG
IPC: G06Q50/16
Filed: 2021-06-28
Granted: 2021-08-26
Abstract: OF THE DISCLOSURE 
A method, system and device for measuring building operational energy consumption carbon 
emissions with high resolution are disclosed. The method includes: collecting auxiliary variable 
information of each provincial-level administrative region based on building characteristics, social 
and economic conditions, regional climate background, and ambient microclimate of buildings, 
and creating respective grid maps of the auxiliary variable information; conducting zonal statistics 
on the grid maps by using boundaries of the provincial-level administrative regions and sub
provincial-level administrative regions as boundary ranges, to obtain statistics of each of the grid 
maps; constructing, based on a partial least squares regression method, a provincial downscaling 
model by using the statistics as independent variables and the building operational energy 
consumption carbon emissions of the provincial-level administrative regions as a dependent 
variable; and inputting, based on scale invariance of a relational model, grid map statistics of the 
sub-provincial-level administrative regions into the provincial downscaling model by using a 
stepwise downscaling method, and modifying the inputted statistics, to obtain building operational 
energy consumption carbon emissions of the sub-provincial-level administrative regions. The 
present invention can implement fine quantitative measurement for building operational energy 
consumption carbon emissions, and archives high accuracy.
ABSTRACT DRAWING 
101 
Calculate building operational energy consumption carbon emissions of each 
provincial-level administrative region 
102 
Collect auxiliary variable information of each provincial-level administrative 
region based on building characteristics, social and economic conditions, regional 
climate background, and ambient microclimate of buildings, and create respective 
grid maps of the auxiliary variable information, where the auxiliary variable 
information includes a building area, a total population, a gross regional product, 
a temperature, heating degree days, and cooling degree days 
103 
Conduct zonal statistics on all the grid maps by using boundaries of 
administrative regions as boundary ranges, to obtain statistics of each of the grid 
maps, where the statistics include a gross regional product per unit area, a total 
population per unit area, an average temperature, average heating degree days, 
and average cooling degree days within each administrative boundary, and the 
administrative regions include the provincial-level administrative regions and 
sub-provincial-level administrative regions 
104 
Construct, based on a partial least squares regression method, a provincial 
downscaling model by using the statistics as independent variables and the 
operational energy consumption and carbon emissions of buildings of the 
provincial-level administrative regions as a dependent variable 
105 
Input, based on scale invariance of a relational model, grid map statistics of the 
sub-provincial-level administrative regions into the provincial downscaling 
model by using a stepwise downscaling method, and modify the inputted 
statistics by using a consistency-in-aggregation approach, to obtain building 
operational energy consumption carbon emissions of the sub-provincial-level 
administrative regions 
FIG. 1