A PROTOTYPE OF NEAR FUTURE STANDARD WEATHER DATA AND THE IMPACT OF CLIMATE CHANGE ON BUILDING ENERGY LOAD IN KANTO REGION IN SUMMER
Making future weather data for building energy simulation by dynamical downscaling (Part 1)

Abstract

 In this paper, we dynamically downscaled GCM (Global ClimateModel) in August for present (2001-2010) and near future (2026-2035). We confirmed bias of the obtained weather data and corrected the weather data with observations to reduce the bias of both RCM and GCM. We then selected the average monthly weather data which represent typical weather conditions for ten years among the results of downscaled GCM and made prototypes of current and near future standard weather data. We conducted building energy simulation using the prototypeof current standard weather data and confirmed the availability of the weather data for building energy simulations. In addition, we conducted future building energy simulation to access the impact of climate change on energy consumption of a two-story detached house in Tokyo. Under this conditions, total sensible heat load in August increased 26% and latent heat load increase 10%.