Evaluation of IPSEpro extended by MATLAB applied to Steam Turbine Cycle analysis

Łukasz Kowalczyk, Witold Elsner, Maciej Marek

Abstract


This paper investigates thermodynamic optimization of a supercritical coal fired power plant. The main goal
of the study was to assess IPSEpro software combined with MATLAB environment, aimed at multiobjective
optimization of the thermal cycle in a relatively short timeframe. To verify the methodology, calculations were
carried out using the IPSEpro (standalone) approach and IPSEpro-MATLAB with fmincon function. The decision
functions were: thermal eciency, gross power eciency and total power load. It was shown that
the results obtained with the IPSEpro standalone approach are similar to those obtained with the IPSEpro-
MATLAB package. This means that the IPSEpro-MATLAB approach can be successfully used in future
calculations. The evident benefit of the newly developed methodology is a significant reduction in computational
time compared to the referenced method. It was shown that the computational time depends on both
the methodology and the chosen objective function. The results show that the detected optimal point also depends
on the shape of the objective function distribution. Optimization of the thermodynamic parameters of
the sample ultra-supercritical power plant enables an increase in output power from 900 MW to 909.44 MW.

Keywords


Steam Cycle; Thermal cycle; IPSEpro; MATLAB; Optimization

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References


Häggståhl D., Dahlquist E.: “Evaluation of Prosim and IPSEpro, Two Heat and Mass Balance Simulation Softwares”; 2003, Proc. of SIMS 2003 - 44th Conference on Simulation and Modeling, Västerås, Sweden

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Kowalczyk Ł, Stępczyńska K. Elsner W., Dykas S.; „Comparison of IPSEpro and EBSILON Professional based on analysis of a hard coal-fired 900MW power plant,” Aktualne kierunki rozwoju energetyki, p. 25-34, Oficyna Wydawnicza Politechniki Wrocławskiej (2012)

Stępczyńska K., Kowalczyk Ł, Dykas S., Elsner W.; „Calculation of a 900MW conceptual 700/720oC coal-fired power unit with an auxiliary extraction-backpressure turbine”, Journal of Power Technologies, Vol 92, No 4 (2012)

Optimization Toolbox for use with MATLAB; User’s Guide Version 2; The Math Works

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