Summary
In this paper we consider the problem of dynamic performance evaluation for sensible thermal energy storage (TES), withaspeci?cfocusonhotwaterstoragetanks. We derive transient performance metrics, from second law principles, that can be used to guide real-time decision-making aimed toward improving demand response. We show how the transient nature of the metrics can be used not only to in?uence control variables within the system, but also to mitigate adverse effects of disturbances during operation. To evaluate these metrics in the context of hot water storage tanks, a thermal strati?cation model is needed. We derive a reduced-order model which allows the simulation of tank thermal strati?cation during all modes of system operation. The proposed performance metrics are analyzed in simulation using the dynamic tank model. The results highlight key trade-offs captured by the metrics that can be incorporated into future optimal control design for sensible TES systems.
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Details
- Original title: Dynamic modeling and performance analysis of sensible thermal energy storage systems.
- Record ID : 30019291
- Languages: English
- Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
- Publication date: 2016/07/11
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Indexing
- Themes: Thermal energy storage
- Keywords: Stratification; Hot water; Simulation; Performance; Sensible heat; Thermal energy storage
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