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An iterative method for modelling the air‐cooled organic Rankine cycle geothermal power plant
Authors:M Imroz Sohel  Mathieu Sellier  Larry J Brackney  Susan Krumdieck
Affiliation:1. Scion, Te Papa Tipu Innovation Park, 49 Sala Street, Rotorua, New Zealand;2. Department of Mechanical Engineering, University of Canterbury, Private bag 4800, Christchurch, New Zealand;3. Commercial Building Systems Electricity, Resources, and Building Systems Integration Center, National Renewable Energy Laboratory (NREL) 1617 Cole Blvd, Mailstop 5202, Golden, CO 80401, U.S.A.
Abstract:This work presents an iterative method for modelling the effect of ambient air temperature on the air‐cooled organic Rankine cycle. The ambient temperature affects the condenser performance, and hence the performance of the whole cycle, in two ways. First, changing the equilibrium pressure inside the condenser, the turbine outlet pressure and the turbine pressure ratio vary. Since the turbine pressure ratio is a major parameter in determining the power generated by a turbine, the plant output is directly affected. Second, changing the condenser outlet temperature with ambient temperature, the pump inlet and outlet conditions are changed. Thus, the vapourizer equilibrium temperature and pressure are influenced. The developed method iteratively seeks the equilibrium conditions for both the condenser and vapourizer. Two case studies based on a real plant performance have been carried out to demonstrate the validity of the method. The developed method demonstrates robustness and converges regardless of the initial conditions allowed by the physical properties of the working fluid. This method is effective for cycles that use saturated vapour as well as superheated vapour under static or dynamic conditions with appropriate initial conditions and constraints. The developed method may be applied to any Rankine cycle with closed cycle operation. Copyright © 2010 John Wiley & Sons, Ltd.
Keywords:geothermal power plant  air‐cooling  organic Rankine cycle  performance analysis
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