Title:
METHOD FOR PREDICTING HOURLY CLIMATIC DATA TO ESTIMATE COOLING/HEATING LOAD
Document Type and Number:
WIPO Patent Application WO/2013/100345
Kind Code:
A1
Abstract:
The present invention relates to a method for predicting hourly climatic data to estimate cooling/heating load, comprising: a climatic data acquiring step (S100) of acquiring past climatic data from meteorological offices; a climatic data analyzing and extracting step (S200) of extracting necessary data by analyzing the climatic data acquired in the climatic data acquiring step (S100); a non-dimensional value calculating step (S300) of calculating non-dimensional values by non-dimensionalizing the climatic data extracted in the climatic data analyzing and extracting step (S200); a correlation equation determining step (S400) of expressing a correlation from the non-dimensional values calculated in the non-dimensional value calculating step (S300); and a next-day hourly climatic data predicting step (S500) of predicting hourly climatic data for the next day from the hourly non-dimensional values, which are obtained in the correlation equation determining step (S400), wherein maximum and minimum relative humidity and the amount of insolation used in the next-day hourly climatic data predicting step (S500) are estimated using a fuzzy algorithm. In the above configuration, the present invention can accurately predict an hourly outdoor air temperature, relative humidity and the amount of isolation by only using a maximum temperature and a minimum temperature provided by meteorological offices even without using real measured values.
Inventors:
YOO SEONGYEON (KR)
YOON HONGIK (KR)
HAN KYUHYUN (KR)
KIM TAEHO (KR)
YOON HONGIK (KR)
HAN KYUHYUN (KR)
KIM TAEHO (KR)
Application Number:
PCT/KR2012/009001
Publication Date:
July 04, 2013
Filing Date:
October 30, 2012
Export Citation:
Assignee:
GAGYOTECH CO LTD (KR)
IAC IN NAT UNIV CHUNGNAM (KR)
IAC IN NAT UNIV CHUNGNAM (KR)
International Classes:
G06F19/00; G06F17/10
Foreign References:
| KR100753141B1 | 2007-08-30 | |||
| KR100327995B1 | 2002-03-09 |
Other References:
TAEK-BEOM, KOH: "The Study on Cooling Load Forecast of Ice-Storage System using Neural Network", JOURNAL OF KOREA INDUSTRIAL INFORMATION SYSTEMS SOCIETY, 2006, pages 115 - 118
DO YOUNG, HAN ET AL.: "Real - Time Building Load Prediction by the On - Line Weighted Recursive Least Square Method", KOREAN JOURNAL OF AIR-CONDITIONING AND REFRIGERATION ENGINEERING, vol. 12, no. 6, 2000, pages 609 - 615
DO YOUNG, HAN ET AL.: "Real - Time Building Load Prediction by the On - Line Weighted Recursive Least Square Method", KOREAN JOURNAL OF AIR-CONDITIONING AND REFRIGERATION ENGINEERING, vol. 12, no. 6, 2000, pages 609 - 615
Attorney, Agent or Firm:
LEE, Moonwook (KR)
이문욱 (KR)
이문욱 (KR)
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Claims: