Study on Extension of Standard Meteorological Data for Cities in South Korea Using ISO 15927-4

Abstract

Accurate standard meteorological data sets for each city are essential elements to assess and analyze high-performance buildings quantitatively in order to ensure that they comply with energy saving policies of the nation. ECO2, which is an assessment program of building energy in Korea, has employed meteorological data of the closest city to the target location from 13 urban meteorological data references; the employment of this program has demonstrated the ability to reflect climatic differences between cities. The present study expanded urban meteorological data to ISO TRY (International Organization for Standard Test Reference Year), an international standard methodology that can calculate the data in a relatively simple manner using observed data in Korea, as much as possible in order to reflect meteorological data, including the air temperature relevant for heating and cooling energy as well as solar radiation (cooling/heating energy) for each city, that affected the assessment of building energy the most. In the present study, existing data is expanded to a show the standard meteorological data of 66 cities that can be put into the Korean assessment program (ECO2). This data considered valid meteorological data (minimum statistical period, air temperature, relative humidity, wind, and solar radiation, etc.) among manned and unmanned observational data obtained from 479 locations from 2001 to 2010. For cities other than the 66 aforementioned cities, zoning was conducted to separate cities that had and did not have the standard meteorological data using a cumulative temperature density graph. In this way, meteorological data can be available in all cities, which will enable more accurate simulation assessments on building energy.Keywords: standard meteorological data; assessment of the annual energy use of the building; ISO TRY (Test Reference Year) Method

Assembling Typical Meteorological Year Data Sets for Building Energy Performance Using Reanalysis and Satellite-Based Data

“…The differences have been plotted in Figure 10 Table 4. Average energy consumption kWh/m 2 and statistical deviation between different data sources calculated according to Equations (5) and (6) Compared to the single-household building, the heating requirements per m 2 are considerably lower, but, on the other hand, the cooling requirements are higher and, at nearly all sites, some cooling is needed.…”

“…Illuminance, thermal infrared radiation from the sky or direct normal solar radiation fall into this group. These constraints are evident even in recent works such as that of Kim et al [6] in which ISO 15927-4 is used to construct TMY data for Korea, but where the number of stations with solar radiation data is much lower than the number of measurement stations providing the more traditional meteorological variables.…”

“…Average number of Heating Degree Days (HDD) and Cooling Degree Days (CDD), and statistical deviation (Mean Absolute Deviation, MAD, and Standard Deviation, SD) between different data sources calculated according to Equations(5) and(6).…”

“…Statistical deviation between different data sources calculated according to Equations (5) and(6) for the single-family house. All calculations are for the full 10 years of data.…”

Study on Policy Marking of Passive Level Insulation Standards for Non-Residential Buildings in South Korea

“…The methodological data used in this study employed 66 data sets [14] in Korea constructed with dry bulb temperature, humidity, solar radiation, and wind volume based on ISO 15927-4 to present thermal transmittance that satisfied the passive level in each of the regions.…”