Paper Conference

Proceedings of ASim Conference 2016: 3rd Asia conference of IBPSA-China, Japan, Korea

     

Impact of Weather Condition on Residential Energy Demand

Ayako Taniguchi-Matsuoka, Masaya Otsuki, Yohei Yamaguchi, Yoshiyuki Shimoda, Takeshi Watanabe

Abstract: It is important to develop a city-scale energy demand simulation model and to apply it into the discussion of balancing the supply and demand of electricity. Most of these models require weather condition as an input parameter. Since the weather condition often differs a lot even within the city, the selection of weather station and the determination of spatial resolution of weather data can affect the simulation results. This article analyzes the impact of weather station selection and spatial resolution determination on city-scale simulation of residential energy demand by using a simulation model developed by the authors. The model is a bottom-up type model, which simulates the residential energy demand at city-or larger-scale. The model requires weather data as one of the main inputs. The area of interest in this study is Hyogo Prefecture, where experiences a number of different climates. We conduct a sensitivity analysis of residential energy demand by using weather data observed at four different points in Hyogo Prefecture that exhibit characteristic climatic conditions. We compared the energy demands in Hyogo Prefecture simulated by two methods: 1) weather data of Kobe, which is the city with the largest population in Hyogo Prefecture, is applied to all representative households to simulate the entire prefecture, and 2) all households are categorized into four groups by their weather conditions, and the simulated energy demand for each group is aggregated.
Keywords: City-scale energy consumption, Residential energy demand, Weather condition
Paper:
asim2016_302