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TECHNICAL PAPERS

Parametric Study of a Simplified Ice Storage Model Operating Under Conventional and Optimal Control Strategies*

[+] Author and Article Information
Gregor P. Henze

Architectural Engineering, University of Nebraska-Lincoln, 1110 South 67th Street, Peter Kiewit Institute 203-D, Omaha, NE 68182-0681e-mail: ghenze@unl.edu

J. Sol. Energy Eng 125(1), 2-12 (Jan 27, 2003) (11 pages) doi:10.1115/1.1530629 History: Received March 01, 2002; Revised May 01, 2002; Online January 27, 2003
Copyright © 2003 by ASME
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References

Figures

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Indirect ice production
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Weekly cooling load profile
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Diagram of cooling plant configuration in discharging mode
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Fraction of operating cost saved versus storage loss factor v for all controls for 8-day simulation period
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State-of-charge versus time for storage loss factors v=0,v=0.005,v=0.010, and v=0.015 using: (a) chiller-priority, (b) constant-proportion, (c) storage-priority, and (d) optimal control for 8-day simulation period
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Section plots of ratio of cost with and without ice storage (cice/c) versus ratio of energy rates (re,1/re,0) for constant ratios of demand rates (rd,1/rd,0)
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Surface plot of ratio of cost with and without ice storage (cice/c) versus ratio of demand rates (rd,1/rd,0) and ratio of energy rates (re,1/re,0) for optimal control
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Section plots of ratio of cost with and without ice storage (cice/c) versus a) time-of-day k at which on-peak period begins for constant length N of on-peak period, and b) number of hours in on-peak period N for constant time-of-day k at which on-peak period begins
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Fraction of operating cost saved versus penalty of operating cooling plant in icemaking mode
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Fraction of operating cost saved versus storage capacity in multiples of peak load over one hour
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Cooling loads for Monday and Tuesday of 8-day simulation period showing the stochasticity introduced when cooling loads as imitated by normal random noise
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State-of-charge for Monday and Tuesday of 8-day simulation period for optimal control meeting the same actual loads. The knowledge base that determines the control strategy was built on predicted cooling load sets with decreasing confidence.
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Fraction of saved operating cost over the 8-day simulation period versus increasing values of the standard deviation used to generate the pseudo-predicted cooling loads for the four investigated control strategies

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