The Impact of High-Resolution Climatic Data on Building Energy Simulation

An example of innovative, more detailed, high-temporal/-spatial resolution weather data for building energy simulation has been developed in this study. These weather files use frequent reading data and a group of joined climate parameters that can be utilized by corresponding simulation engines. These high-resolution weather files were then used in Building Energy Simulation (BES) software to estimate the energy output of a calibrated single-family residential building in a cold climate. BES by using finer spatial resolution can be greatly impact the calculation of energy consumption. When simulating runs with the calibrated building, the greatest deviation in monthly heating and cooling energy appears to be relative difference of 14.78% and 11.71% for under- and overestimation, respectively. The other aspect of high-resolution climatic data is temporal resolution. Comparative studies were run against high temporal resolution weather files using building models. Sub-year total energy consumption differs by approximately 1%. However, the heating and cooling energy differ by ±30%.