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A Study on Daily Cooling Load Forecast Using Fuzzy Logic

퍼지 논리를 이용한 일일 냉방부하 예측에 관한 연구

  • 신관우 (공주대학교 전기공학과) ;
  • 이윤섭 (공주대학교 전기공학과)
  • Published : 2002.11.01

Abstract

The electric power load during the peak time in summer is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system are possible solutions to settle this problem. In this study. the method of estimating temperature and humidity to forecast the cooling load of ice-storage system is suggested, then the method of forecasting the cooling load using fuzzy logic is suggested by simulating that the cooling load is calculated using actual temperature and humidity. The forecast of the temperature, humidity and cooling load are simulated, and it is shown that the forecasted data approach to the actual data. Operating the ice-storage system by the forecast of cooling load with night electric power will improve the ice-storage system efficiency and reduce the peak electric power load during the summer season as a result.

Keywords

References

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