Characteristics of Energy Consumption in an Office Building located in Seoul

사무소건물의 용도 및 측정기간에 따른 에너지 소비 특성

  • Published : 2005.01.01

Abstract

The purpose of this study is to suggest the characteristics and actual state of energy consumption by the analysis of energy consumption data in an office building. This study examines and analyzes daily and monthly energy consumption of an office building located in Seoul, Korea regarding type of load and business classification within a building. The results are as follows. 1) Energy consumption of office building for each type of load show similar consumption patterns, regardless of seasons such as cooling period and heating period. 2) Out of all annual energy consumption, consumption for lighting took about $43\;\%,$ general electric Power about $23\;\%,$ emergency power $25\;\%,$ computer center $5\;\%$ and cooling power $4\;\%,$ showing that the consumption for lighting was highest, and the percentage of energy consumption for cooling power for operation of cooling facilities took the lowest percentage. 3) Annual gas consumption used for heating and hot water supply were $38,\;36\;\%$ for officetel and office respectively, and $26\;\%$ for arcade. 4) Electricity consumptions used for cooling power for each use of building, office and officetel recorded in July and August of cooling seasons. Even though it shows different patterns for each month, energy consumption showed unique pattern throughout the cooling seasons.

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References

  1. Lee, Sang-Hyung et al., 1998, A Study on the Energy Consumption in Office Buildings, Journal of the Architectural Institute of KOREA Planning & Design, Vol. 14, No. 11, pp. 379-386
  2. Kim, Jong- Tae et al., 1999, A Case Study for Estimation on the Actual Energy Consumption and Equipment Loads in Office Buildings, Proceeding of the AIK Annual Conference, Vol. 19, No. 2, pp. 1003-1008
  3. Sung-Hwan Cho et al., 2003, Effect of Measuring Period on Predicting the Annual Heating Energy Consumption for Building, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 15, No. 4, pp. 287-293
  4. Susan Roaf, and Mary Hancock, 1992, Energy Efficient Building-A Design Guide, Blackwell Scientific Publications, Oxford
  5. S. M Kim, and H. G. Kang, 2000, Understanding Statistics with Microsoft Excel, Doo-Nam, Seoul