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Development and evaluation of a rule-based control strategy for ice storage systems.

Author(s) : DREES K. H., BRAUN J. E.

Type of article: Article

Summary

The paper describes the development and evaluation of a near-optimal control strategy for ice storage systems. The strategy is based upon simple heuristics that were developed from daily and monthly simulations of cooling systems with internal melt, area-constrained ice storage tanks. For a range of partial-storage systems, load profiles, and utility rate structures, the monthly electrical costs for the rule-based control strategy were, on average, within about 3% of the optimal costs. In contrast, the monthly electrical costs associated with the most common conventional control strategy, chiller-priority control, were as much as 20% greater than optimal, whereas a simple storage-priority strategy yielded costs that were within about 6% of optimal. The rule-based strategy can be easily implemented within a small micro-processor controller and only requires measurements of the system cooling requirement, building electrical usage, and state-of-charge of storage.

Details

  • Original title: Development and evaluation of a rule-based control strategy for ice storage systems.
  • Record ID : 1998-0586
  • Languages: English
  • Source: HVAC&R Research - vol. 2 - n. 4
  • Publication date: 1996/10
  • Document available for consultation in the library of the IIR headquarters only.

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