Study on the Feasibility of Applying Forecasted Weather Data for Operations of a Thermal Storage System

축열운전을 위한 기상예보치의 이용가능성에 대한 검토

  • Jung Jae-Hoon (Sejong-Lockheed Martin Aerospace Research Center, Sejong University) ;
  • Shin Young-Gy (Department of Mechanical Engineering, Sejong University) ;
  • Park Byung-Yoon (Department of Architecture, Suwon Science College)
  • 정재훈 (세종대학교 세종-록히드마틴 우주항공연구소) ;
  • 신영기 (세종대학교 기계공학과) ;
  • 박병윤 (수원과학대학 건축과)
  • Published : 2006.01.01

Abstract

In this paper, we investigated a feasibility of applying highest and lowest temperatures of the next day forecasted from a meteorological observatory to operation of an air-conditioning system with thermal storage. First we investigated specific characteristics of the time series of forecasted temperatures and errors in Osaka from 1994 to 1996. Since the forecast error is not always small, it might be difficult to use the forecasted data without correction for the sizing and the control of the thermal storage system. On the other hand, the autocorrelation functions of the forecast errors decrease relatively slowly during high summer season when cooling thermal storage is required. Since the values of the autocorrelation function; for one day are larger than 0.4, not small, the forecast errors can be predicted by proper statistical analysis. Thus, the forecasted values of the highest temperatures for the next day were improved by using the stochastic time series models.

Keywords

References

  1. Hokoi, S. I. and Matsumoto, M., 1988, An analysis of stochastic properties of the heating load in an intermittently air-conditioned building, Energy and Buildings, Vol. 11, pp. 259-266 https://doi.org/10.1016/0378-7788(88)90041-2
  2. Yoshida, H. N. and Terai, T. O., 1992, Modeling of weather data by time series analysis for air-conditioning load calculations, ASHRAE Transactions, Vol. 98, No. 1, pp. 328-345
  3. Hokoi, S. I., Matsumoto, M. and Ihara, T. K., 1991, Statistical time series models of solar radiation and outdoor temperature - Identification of seasonal models by Kalman filter, Energy and Buildings, Vol. 15, No. 16, pp. 373-383 https://doi.org/10.1016/0378-7788(90)90011-7
  4. Yoshida, H. N., 1997, Heating and cooling load prediction for the rational management of thermal : storage tank operation, Journal of Architecture, Planning and Environmental Engineering (Transactions of AIJ), No. 495, pp. 77-83
  5. Han, D. Y. and Youn, H. B., 2002, Building energy control algorithms by using outdoor air temperature prediction, Proceedings of the SAREK 2002 Winter Annual Conference, pp. 345-350
  6. Box, G. E. P. and Jenkins, G. M., 1976, Time Series Analysis - Forecasting and Control, Holden-Day
  7. www.kma.go.kr
  8. Jung, J. H., 1997, Study on the Optimal Control of a Thermal Storage System Using the Weather Forecast, MS thesis, University of Kyoto, Kyoto, Japan