11:10
Simulation and design tools - System Dynamics
Chair: Prof. Francesco Casella
11:10
20 mins
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EXPERIMENTAL STUDY AND DYNAMIC MODELING OF A WHR ORC POWER SYSTEM WITH SCREW EXPANDER
Adriano Desideri, Martijn van den Broek, Sergei Gusev, Steven Lecompte, Vincent Lemort, Sylvain Quoilin
Abstract: In recent years, due to the increasing concern over energy shortage and global
warming, the interest in low grade heat recovery from industrial processes has grown
dramatically (IEA, 2010). Several studies have underlined the potential of small-capacity
ORC power plants for waste heat recovery (WHR) applications (Verneau, 1979). For
such systems accurate dynamic modeling represents an important tool in particular
when control issues are considered (Colonna and van Putten, 2007) (Casella et al.,
2013). This paper presents a dynamic model of an ORC system, validated both in
steady-state and transient conditions via experimental data from a 10 kWe waste heat
recovery ORC system with a screw expander.
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11:30
20 mins
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DYNAMIC MODELS FOR A HEAT-LED ORGANIC RANKINE CYCLE
Tobias Erhart, Martijn van den Broek, Ursula Eicker
Abstract: Drawn by the benefits of de-centralised and renewable power supply, over 150 Organic Rankine Cycles (ORC), in a range from 400kWel to 2MWel, have been installed in Central Europe. The majority of modules are biomass fired and heat-led by district heating networks. With rising fuel prices however, the economic situation has become critical for many of these facilities and improvements in efficiency are indispensable. The research reported here, provides turbine models to simulate units of that type and suggests recommendations to achieve a higher cycle efficiency. An operating power plant with a design power of 1MWel serves as validation.
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11:50
20 mins
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ROBUST AND COMPUTATIONALLY EFFICIENT DYNAMIC SIMULATION OF ORC SYSTEMS: THE THERMOCYCLE MODELICA LIBRARY
Sylvain Quoilin, Adriano Desideri, Ian Bell, Jorrit Wronski, Vincent Lemort
Abstract: The ThermoPower library, an open-source library for dynamic modeling of ORC systems, has been recently developed in the Modelica language and is presented in this paper. Special attention has been paid to robustness and to simulation speed. Dynamic simulations are indeed often limited by numerical constraints and failures, either during initialization or during integration. Furthermore, the use of complex equations of state (EOS) to compute thermodynamic properties dramatically decreases the simulation
speed. In this paper, the different numerical methods developed to overcome these limitations are presented and discussed and the proposed models are then benchmarked against alternative simulation tools.
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