| Keywords |
Weather data ; Weather prediction ; Building energy simulation ; Energy baseline ; WRF(Weather Research and Forecasting) ; KMA(Korea Meteorological Administration) |
| Abstract |
To date, typical meteorological data from nearby metropolises have been used for building energy performance analysis. It has the disadvantage that it could not accurately reflect the local weather in the site, but it is advantageous to use the weather data in general without the local weather station of each building site. In this study, we compared the nearby weather data from the KMA(Korea Meteorological Agency) and local predicted data by the WRF(Weather Research and Forecasting Model) with observed weather data from a local weather station(37.320221 N, 127.125430 E). The accuracy of dry bulb temperature, relative humidity, and solar radiation were analyzed. The advantage of the WRF method was that weather data could be simulated at a specific point, where the building was located. The RMSE and MBE of the air temperature and relative humidity were lower with the nearby KMA observed data. The WRF predicted data tended to underestimate the temperature. The nearby KMA observed data tended to underestimate the solar radiation. In general, the local solar radiation could not be replaced by nearby observed data or the predicted data. |