2022 年 43 巻 1 号 p. 25-32
This study proposes a method that disaggregates whole-house energy consumption data into six end-uses: heating, cooling, cooking, hot water supply, snow melting, and others. About 70% of the energy consumed at home is highly correlated with the climate. The method to propose in this research uses this relationship. This method can correctly disassemble even if the data contains errors. As a result of analyzing the household CO2 statistics in the method manner, its characteristics could be rationally explained. This study revealed how the COVID-19 epidemic changed the energy consumption of the house. However, improvements are required to estimate the amount of solar heat and the amount of snow melting energy.