Ambient temperature and solar radiation prediction for predictive control of HVAC systems and a methodology for optimal building heating dynamic operation
- Concordia Univ., Montreal, Quebec (Canada). Centre for Building Studies
An optimal predictive control methodology has been developed for real-time dynamic operation of building heating systems. It integrates a weather predictor, a setpoint optimizer, a feedforward control scheme, and an adaptive generalized predictive control algorithm in order to achieve high building thermal performance. A new weather predictor simplified through normalization makes it feasible to quantify the qualitative weather forecast for solar radiation. A heating process model is estimated by means of recursive least-squares techniques with a U-D factorization algorithm and several supervision rules. Using the predictions of solar radiation and ambient temperature, and the identified model of the heating process, the zone setpoint is optimized through on-line simulation. The adaptive generalized predictive controller (GPC) associated with a feedforward control scheme has been improved with a new algorithm. This new control algorithm is capable of compensating for large thermal lags and dynamics in the feedback control loop. Results from the weather predictor are presented.
- OSTI ID:
- 392430
- Report Number(s):
- CONF-960254-; TRN: IM9647%%284
- Resource Relation:
- Conference: Winter meeting of American Society of Heating, Refrigeration and Air Conditioning Engineers, Atlanta, GA (United States), 17-21 Feb 1996; Other Information: PBD: 1996; Related Information: Is Part Of ASHRAE transactions 1996: Technical and symposium papers. Volume 102, Part 1; PB: 1278 p.
- Country of Publication:
- United States
- Language:
- English
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