Abstract
This paper proposes a hybrid algorithm to solve the optimal energy dispatch of an ice storage air-conditioning system. Based on a real air-conditioning system, the data, including the return temperature of chilled water, the supply temperature of chilled water, the return temperature of ice storage water, and the supply temperature of ice storage water, are measured. The least-squares regression (LSR) is used to obtain the input-output (I/O) curve for the cooling load and power consumption of chillers and ice storage tank. The objective is to minimize overall cost in a daily schedule while satisfying all constraints, including cooling loading under the time-of-use (TOU) rate. Based on the Radial Basis Function Network (RBFN) and Ant Colony Optimization, an Ant-Based Radial Basis Function Network (ARBFN) is constructed in the searching process. Simulation results indicate that reasonable solutions provide a practical and flexible framework allowing the economic dispatch of ice storage air-conditioning systems, and offering greater energy efficiency in dispatching chillers.
Highlights
Taiwan is located in a subtropical region where summers are hot and dry
Ant-Based Radial Basis Function Network (ARBFN) was used to test the functions of six sets of chillers and the ice storage tank, and the condition parameters on 17 July 2013 and 21 October 2013 were simulated
It can be shown that the TOU rate will influence the overall economy of the ice storage air-conditioning system
Summary
Taiwan is located in a subtropical region where summers are hot and dry. As a result, people rely heavily on air-conditioning systems to cool buildings. Reported techniques for optimal chiller loading include simulated annealing [3], genetic algorithm [4,5], branch and bound method [6], Hopfield neural network [7], differential evolution algorithm [8], cuckoo search approach [9], firefly algorithm approach [10], and dynamic programming [11] These approaches can be very accurate given sufficient information for optimal chiller loading; no approach has suggested a combination of energy storage systems in order to shift the peak load. Simulation results provided a novel tool for the economic dispatch of ice storage air-conditioning systems, while providing greater dispatch energy efficiency
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