Study on the Optimization of Multi-Factor Influencing Ice Thermal Storage Air Conditioning System Economy


Article Preview

On the basis of dynamic hourly cooling load, an optimal target function was taken as the minimization of sum of system fist cost and operation cost etc., within life cycle for ice thermal air conditioning system, the mathematics model of system optimization was established, and solved based on the external point penalty function method with step accelerate algorithm, using VB.NET for writing calculation program, taking ice thermal air conditioning systems for typical public buildings (an office building, a 4 star level hotel, a large scale store) as study objectives, the optimal calculations and analysis were carried out to multi-factor such as building load profile characteristics, discharge rate, and electrical price structure. Results in this paper provide technical information and reference for designer and operator.



Advanced Materials Research (Volumes 443-444)

Edited by:

Li Jian




Z. W. Wang et al., "Study on the Optimization of Multi-Factor Influencing Ice Thermal Storage Air Conditioning System Economy", Advanced Materials Research, Vols. 443-444, pp. 333-339, 2012

Online since:

January 2012




[1] Delong. Yan, Weijun Zhang, Thermal Storage Technique Applied in Air Conditioning System, Beijing: China Machinery Industry Press, 1997 (in Chinese).

[2] Charles E Dorgan. Design Guide for Cool Thermal Storage ASHRAE, Inc. (1994).

[3] Dorgan, C. E, and Dorgan, D. E, 1995, TR-105604: Cold Air Distribution Design Guide, EPRI HVAC&R Center, University of Wisconsin, Madison.

[4] D.H. Spethmann. Optimal control for cool storage. ASHRAE Transactions. 1989. 95(1): 1189-1193.

[5] Chad B. Dorgan. et al. A Descriptive Framework for Cool Storage Operating and Control Strategies. ASHRAE Transactions, 2001, Part1.

[6] J. E. Braun. A comparison of chiller priority, storage priority, and optimal control of an ice storage system. ASHRAE Transactions. 1992, 98(1): 893-962.

[7] Yong Wang, Qingzhu Zha, Optimal control strategy for ice storage systems, HV&AC journal, 1996, (3): 3-6.

[8] Zhiwei Wang, Huihua Cai, Lei Zhao, Xiaoying He. Study on the Optimization of Cold Air Distribution System with Ice Thermal Storage. The 4th Asian Conference on Refrigeration and Air-conditioning, Proceedings of 4th ACRA May 21–22, 2009, Taipei, TAIWAN NO. ACRA025.

[9] Zhezhao, H., and Daoping, L., Cool Storage Techniques and its Application in Air Conditioning Engineering, China Science Press, Beijing, China. (1997).

[10] Yaoqing, L., Practical Design Handbook for Heating and Air Conditioning Engineering, second edition, China Architecture & Building Press, Beijing. (2008).

[11] Baolin, C., Optimization: Theory and Algorithms, 2nd edition, Tstinghua University Press, Beijing. (2005).

[12] Minsheng Yang, Changtong Luo, Optimization principle, method and solving software. China Science Press, Beijing. (2006).

[13] Anyuan, X., Fangting, S., and Yi, J. et al., Chinese Meteorology Data Base Specially Used for Building Thermal Environment Analysis, China Architecture & Building Press, Beijing, China. (2005).

[14] Da, Y., Xiaona, X., and Fangting, S. et al., An Over View of Developments and Information of Building Simulation and DeST, HV&AC, 2004, No. 7: 48-56.

[15] Zhibou Chen, Program Design of Visual Basic. NET. Beijing: China Posts & Telecom Press, 2009(in Chinese).

Fetching data from Crossref.
This may take some time to load.