Paper Conference

Proceedings of uSim Conference 2020: 2nd uSim Conference of IBPSA-Scotland

     

Reproducing of energy use differences among households in national residential sector by simulation model

Haruka Matoba, Yoshiyuki Shimoda, Minami Sugiyama, Ryuya Nishimoto, Ayako Taniguchi-Matsuoka, Yohei Yamaguchi

Abstract: The purpose of this study is to evaluate fluctuating energy consumption among households. Since the energy consumption of a household is determined by various factors, the CO2-reducing effect of a certain measure varies greatly depending on the household. Therefore, in order to accurately estimate the effects of various measures, it is very important to obtain a view of the energy-use distribution of urban households. Two tools are used to analyze the relationship between energy consumption and its determining factors. One is an enduse energy simulation model in the residential sector, which is developed by the authors. This model considers the diversity of the households in Japan, and reproduces the energy consumption system in actual houses using a bottom-up method. The other is governmental statistics in which the energy consumption and its explanatory factors are summarized for the same household, so that it is possible to analyze the relationships between energy consumption and household characteristics. By using these two tools, we reveal several factors that can cause differences in energy consumption among households. For example, households with high annual energy consumption have common household characteristics that increase energy consumption over all end-uses, such as appliance operation, kitchen use, and heating or cooling. Furthermore, high-consumption households tend to have more energy-consuming behaviors than expected, including longer heating times and lower implementation rates of energy-saving behavior. Therefore, by using this model, it is possible to provide an accurate assessment that considers the differences in CO2 reduction potential among households when implementing greenhouse gas reduction measures.
Pages: 164 - 171
Paper:
usim2020_B2_4_Matoba