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Load Forecasting and Equipment Sequencing in a Central Heating and Cooling Plant: A Case Study.
- Source :
-
ASHRAE Transactions . 2019, Vol. 125 Issue 2, p513-523. 11p. - Publication Year :
- 2019
-
Abstract
- Optimal sequencing of chillers and boilers based on short-term energy demand forecasts represents an untapped opportunity to improve the energy efficiency of central heating and cooling plants. This paper presents a case study conducted in a heating and cooling plant with four boilers and five chillers. Time-series modeling methods are examined to forecast hourly heating and cooling loads 24 hours in advance. The results indicate that a hybrid of autoregressive moving average and change-point models can parsimoniously predict the heating and cooling loads. A boiler and chiller sequencing scheme that uses the day-ahead load forecasts is determined by using a nonlinear programming solver. The implementation of this sequencing scheme is estimated to result in a 4% reduction in heating and 25% reduction in cooling energy use. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00012505
- Volume :
- 125
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- ASHRAE Transactions
- Publication Type :
- Conference
- Accession number :
- 141670094