Abstract
The development of a control-oriented model of a solar community with seasonal storage (the Drake Landing Solar Community) is investigated. The proposed approach, intended to facilitate the development and testing of control strategies and targeting an actual predictive control implementation, is based on grey-box models, and enables the prediction of the system state (temperatures at key locations). This paper discusses the concept of state update procedure (whereby the system state is periodically corrected with measurements), which plays a fundamental role for control purposes. Firstly, the DLSC is presented and both operation and monitoring system are described. Secondly, a simplified model is developed for each sub-system: district and solar loops, short-term (water tanks) and seasonal (borehole) thermal energy storage, and existing operation rules are encoded. Finally, the model is calibrated and validated by using measurements at 10-min intervals over two years of operation (2015–2016, 2016–2017) and accurately predicts the system performance.
Acknowledgements
The authors also want to thank their colleagues from CanmetENERGY, in particular Doug McClenahan and Lucio Mesquita, for sharing their experience of Drake Landing and providing data, as well as Roberto Sunyé for his valuable comments. Their help and feedback were greatly appreciated. Internal and external reviewers are also acknowledged for their feedback.
ORCID
Etienne Saloux http://orcid.org/0000-0001-5358-3543