The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

The Study on Intelligent Cooling Load Forecast of Ice-storage System

빙축열 시스템의 지능형 냉방부하예측에 관한 연구

  • 고택범 (경주대학교 전기에너지전자공학과)
  • Published : 2008.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

In the conventional operation of ice-storage system based on operator's experience and judgement, the failure in forecast of cooling load occurs frequently due to operator's misjudgement and unskilled operation. This study presents the method of constructing self-organizing fuzzy models which forecast tomorrow temperature, humidity and cooling load periodically for economic and efficient operation of ice-storage system. To check the effectiveness and feasibility of the suggested algorithm, the actual example for forecasting temperature, humidity and cooling load of ice- storage system in KEPCO training institute, Sokcho, is examined. The computer simulation results show that the accuracy of temperature, humidity, cooling load forecast of the suggested algorithm is higher than that of the conventional methods.

Keywords

References

  1. Mitchle, John W., 'The Control of Ice Storage System', ASHRAE Transaction, CH-95-22-3, pp. 1345-1352, 1995
  2. Gregor Pitter Daniel Dominikus Henze, 'Evaluation of Optimal Control for Ice Storage Systems', UMI disseration, 1997
  3. Morensen, R. E., 'A Stochastic Computer Model for Heating and Cooling Loads', IEEE Transaction on Power Systems, Vol.3, No.3, pp. 1213-1217, 1988 https://doi.org/10.1109/59.14584
  4. Hagan, Marin T., 'The Time series approach to Short Term Load Forecasting', IEEE Transaction on Power System, Vol.PWRS-2, No.3, pp. 785-791, 1987
  5. Chan, Shin-Tzo, 'Weather Sensitivity Short Term Load Forecast Using Nonfully Connecter Artificial Neural Network', IEEE Transaction on Power System, Vol.7, No.3, pp. 1098-1105, 1992 https://doi.org/10.1109/59.207323
  6. 신관우, 이윤섭, '신경회로망을 이용한 냉방부하예측에 관한 연구' 설비공학논문집, 제14권, 제8호, pp. 626-633, 2002
  7. 신관우, 이윤섭, '퍼지 논리를 이용한 일일 냉방부하 예측에 관한 연구', 제어자동화시스템공학회, 제8권, 제11호, pp. 948-953, 2002년 1월
  8. 고택범, '클러스터 생성을 이용한 자기구성 퍼지 모델링', 한국퍼지 및 지능시스템 학회, Vol.12, No.4, pp. 334-340, 2002
  9. T. Takagi and M. Sugeno, 'Fuzzy identification of systems and its application to modeling and control,' IEEE Trans. on Syst. Man & Cybern., Vol.15, pp.116-132, 1985
  10. J. C. Bezdek, Pater Recognition with Fuzzy Objective Functional Algorithm, New York Plenum, 1981
  11. L. Ljung, System Identification: Theory for the User. Englewood Cliffs. NJ: Prentice-Hall, 1987
  12. B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. Englewood Cliffs. NJ Prentice-Hall, 1992