Research Papers: Gas Turbines: Microturbines and Small Turbomachinery

Dynamic Modeling of Organic Rankine Cycle Power Systems

[+] Author and Article Information
Francesco Casella

Dipartimento di Elettronica e Informazione,
Politecnico di Milano,
Via Ponzio 34/5,
I-20133 Milano, Italy
e-mail: francesco.casella@polimi.it

Tiemo Mathijssen

e-mail: T.Mathijssen@tudelft.nl

Piero Colonna

e-mail: P.Colonna@tudelft.nl
Energy Technology Section,
Process and Energy Department,
Delft University of Technology,
Leeghwaterstraat 44,
2628 CA Delft, The Netherlands

Jos van Buijtenen

Tri-O-Gen B.V.,
Postbus 25,
7470 AA Goor, The Netherlands

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) Division of ASME for publication in the Journal of Engineering for Gas Turbines and Power. Manuscript received February 29, 2012; final manuscript received October 19, 2012; published online March 18, 2013. Assoc. Editor: Paolo Chiesa.

J. Eng. Gas Turbines Power 135(4), 042310 (Mar 18, 2013) (12 pages) Paper No: GTP-12-1064; doi: 10.1115/1.4023120 History: Received February 29, 2012; Revised October 19, 2012

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 kWe 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.

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Fig. 1

Simplified process flow diagram of the Tri-O-Gen ORC power plant

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Fig. 2

Top level object diagram of the Modelica model of the Tri-O-Gen ORC system

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Fig. 3

Object diagram of the turbopump component

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Fig. 4

Object diagram of the evaporator component

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Fig. 5

Setpoint change at 116 kWe output

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Fig. 6

Setpoint change at 69 kWe output

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Fig. 7

Difference between the full condenser and stub condenser model at 69 kWe output power

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Fig. 8

Response to the halving of the thermal input in the operational plant



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