Dynamic Modeling of Organic Rankine Cycle Power Systems

被引：37

作者：

Casella, Francesco ^{[1
]}

Mathijssen, Tiemo ^{[2
]}

Colonna, Piero ^{[2
]}

van Buijtenen, Jos ^{[3
]}

机构：

[1] Politecn Milan, Dipartimento Elettron & Informaz, I-20133 Milan, Italy

[2] Delft Univ Technol, Energy Technol Sect, Proc & Energy Dept, NL-2628 CA Delft, Netherlands

[3] Tri O Gen BV, NL-7470 AA Goor, Netherlands

来源：

JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME | 2013年 / 135卷 / 04期

关键词：

SIMULATION;

D O I：

10.1115/1.4023120

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

New promising applications of organic Rankine cycle (ORC) technology, e. g., concentrated solar power, automotive heat recovery and off-grid distributed electricity generation, demand for more dynamic operation of ORC systems. Accurate physically-based dynamic modeling plays an important role in the development of such systems, both during the preliminary design as an aid for configuration and equipment selection, and for control design and optimization purposes. A software library of modular reusable dynamic models of ORC components has been developed in the MODELICA language and is documented in the paper. The model of an exemplary ORC system, namely the 150 kW(e) Tri-O-Gen ORC turbogenerator is validated using few carefully conceived experiments. The simulations are able to reproduce steady-state and dynamic measurements of key variables, both in nominal and in off-design operating conditions. The validation of the library opens doors to control-related studies, and to the development of more challenging dynamic applications of ORC power plants.

引用

页数：12

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