Optimization and advanced control of thermal energy storage systems

被引:52
|
作者
Cole, Wesley J. [1 ]
Powell, Kody M. [1 ]
Edgar, Thomas F. [1 ]
机构
[1] Univ Texas Austin, Dept Chem Engn, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
buildings; combined heat and power; model predictive control; optimization; solar thermal power; thermal energy storage; MODEL-PREDICTIVE CONTROL; PHASE-CHANGE MATERIALS; NEAR-OPTIMAL CONTROL; COMBINED HEAT; OPTIMAL OPERATION; POWER-PLANTS; SOLAR COLLECTOR; COGENERATION SYSTEMS; CHEMICAL REACTOR; CHP-PLANTS;
D O I
10.1515/revce-2011-0018
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper reviews the optimization and control of thermal energy storage systems. Emphasis is given to thermal storage applied to combined heat and power systems, building systems, and solar thermal power systems. The paper also discusses how applications of thermal storage can benefit the chemical industry. Optimization of the design and control of thermal storage systems improves plant performance and improves the management of transient energy loads in a variety of applications. In order to maximize the benefits of thermal storage, it is necessary to include advanced multi-variate constrained controls, such as model predictive control. Thermal storage also increases system flexibility, allowing the incorporation of intermittent renewable energy sources. The flexibility of thermal storage will play an increasingly important role as utilities implement smart grid technology with time-of-use electricity pricing. Lastly, thermal energy storage improves system economics by reducing required equipment sizes, improving efficiency, and reducing equipment wear.
引用
收藏
页码:81 / 99
页数:19
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