Share

PREDICTING DAILY LOADS OF AIR-CONDITIONING SYSTEM.

[In Japanese. / En japonais.]

Author(s) : KIMBARA A.

Type of article: Article

Summary

CONVENTIONAL COMMERCIAL BUILDING AIR-CONDITIONING SYSTEMS TYPICALLY EMPLOY HEAT STORAGE SYSTEMS THAT HAVE SUFFICIENT HEAT SOURCE CAPACITY TO USE RECOVERED WASTE HEAT AND NIGHT ELECTRIC POWER, AND TO MEET PEAK INSTANTANEOUS LOADS. THERE IS A NEED TO PREDICT THE DAILY LOADS OF THESE SYSTEMS SYSTEMATICALLY. THIS WORK IS ON SUCH A PROBLEM, WITH THE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODEL TAKEN INTO ACCOUNT. AT THE END OF EACH DAY, THE MODELLING IS DONE FIRST FOR A SET BEVDT. THE USUAL LOAD PROFILE DATA ARE DIRECTLY USED, BUT THE AMBIENT TEMPERATURE PROFILE DATA ARE NOT USED. NEXT, THE ARIMA MODEL OBTAINED IS USED TO PREDICT THE DAILY LOAD FOR THE NEXTD. THE LOADPROFILES ARE UPDATED EVERY DAY ON THE BASIS OF THE NEWLY OBTAINED LOAD DATA.

Details

  • Original title: [In Japanese. / En japonais.]
  • Record ID : 1991-1368
  • Languages: Japanese
  • Source: Transaction of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan - n. 44
  • Publication date: 1990/10
  • Document available for consultation in the library of the IIR headquarters only.

Links


See other articles in this issue (1)
See the source

Indexing