Development of Simplified Building Energy Simulation Program for Building Energy Performance Analysis

건물에너지 성능 분석을 위한 간이 건물에너지 시뮬레이션 프로그램 개발에 관한 연구

  • Park, Jong-Il (Department of Building System Equipment, Dong-Eui University) ;
  • Kang, Yoon-Suk (Graduate School, Department of Architectural Engineering, Dong-A University) ;
  • Ihm, Pyeong-Chan (Faculty of Architectural Design and Engineering, Dong-A University)
  • Published : 2009.01.10

Abstract

There are various types of energy simulation tool to predict both thermal load and energy use. However, the problem about these software is that they have too much input variables and need expert with skills to run the simulation. Therefore, the purpose of this study is to develop the thermal analysis simulation program with input variables which eliminates coordinates of building components instead of using full coordinates by using DOE2. Since the simulation engine of the program is DOE2, the validity of S-DOE is performed by comparing peak heating and cooling load results with VisualDOE and annual energy use results with actual energy use of 1996. The results have shown that there are little difference between VisualDOE and S-DOE. Also it showed that there are little difference between actual energy use and S-DOE energy use results. S-DOE took less time to model a building than VisualDOE. These results reveals that the application of S-DOE have potentials in accurately predicting both energy load and energy use of the building and still have an advantage of taking less time to model a building.

Keywords

References

  1. Kim, S. H. et al., 2006, New RTS load calculation method, Equipment Journal of SAREK, Vol. 35, No. 10, pp. 46-58
  2. Jeffrey, D. S. et al., 1997, The radiant time series cooling load calculation procedure, ASHRAE Transactions, Vol. 103, No. 2, pp. 503-515
  3. Choi, B. S. et al., 2006, Veryfication in RTS method by applying TRNSYS, Proceedings of the SAREK 2006 Summer Annual Conference, pp. 531-535
  4. Kim, Y. S., 2003, Development of simplified energy prediction method for economic evaluation of cooling plants in office buildings, DS thesis, Korea University, Seoul, Korea
  5. Seok, H. T., 1995, A study on the development of load prediction equation and design guidelines for the energy conservation of office buildings, DS thesis, Seoul National University, Seoul, Korea
  6. Lam, J. C. et al., 1997, Regression analysis of high-rise fully air-conditioned office buildings, Energy and Buildings, Vol. 26, pp. 189-197 https://doi.org/10.1016/S0378-7788(96)01034-1
  7. Kusuda, T. et al., 1982, Development of equipment seasonal performance models for simplified energy analysis methods, ASHRAE Transactions, Vol. 88, pp. 249-262
  8. Sullivan, H. et al., 1985, Commercial building energy performance analysis using multiple regression, ASHRAE Transactions, Vol. 91, pp. 337-353
  9. Christopher, R. J. and Curt, H., 2001, DOE-2.1E Geometric Modelling : The basic geometric approach vs. the complex XYZ approach, esim
  10. ASHRAE, 1989, ASHRAE Standard 90.1