THE NEAR FUTURE WEATHER DATA FOR BUILDING ENERGY SIMULATION USING DYNAMICAL DOWNSCALING OF RESULTS FROM GLOBAL CLIMATE MODEL

Abstract

Climate change such as global warming is proceeding and climate conditions have huge impact on building performance. Thermal calculation is conducted to adapt a building to climate conditions using standard weather data which consists of weather components such as temperature and solar radiation. At present, it is common to use standard weather data that are based on current or past weather conditions. However, most buildings have a lifespan of several decades, during which climate can gradually change. Therefore, energy simulations should incorporate climate change predictions in order to ensure that buildings are adaptable to future climatic conditions and have long-term building performance. The purpose of this study is to construct future standard weather data which based on the future climate conditions using dynamical downscaling method with GCM.