Simulation of a coal-fired power plant using mathematical programming algorithms in order to optimize its efficiency

Abstract Since most of the world's electric energy production is mainly based on fossil fuels and need for better efficiency of the energy conversion systems is imminent, mathematical programming algorithms were applied for the simulation and optimization of a detailed model of an existing lignite-fired power plant in Kozani, Greece (KARDIA IV). The optimization of its overall thermal efficiency, using as control variables the mass flow rates of the steam turbine extractions and the fuel consumption, was performed with the use of the simulation and optimization software gPROMS. The power plant components' mathematical models were imported in software by the authors and the results showed that further increase to the overall thermal efficiency of the plant can be achieved (a 0.55% absolute increase) through reduction of the HP turbine's and increase of the LP turbine's extractions mass flow rates and the parallel reduction of the fuel consumption by 2.05% which also results to an equivalent reduction of the greenhouse gasses. The setup of the mathematical model and the flexibility of gPROMS, make this software applicable to various power plants.

[1]  Aie.  World Energy Outlook 2009 , 2000 .

[2]  Donald Quentin Kern,et al.  Process heat transfer , 1950 .

[3]  A. Tourlidakis,et al.  Emissions’ reduction of a coal-fired power plant via reduction of consumption through simulation and optimization of its mathematical model , 2010, Oper. Res..

[4]  Argimiro Resende Secchi,et al.  SIMULATION OF PULVERIZED COAL FIRED BOILER: REACTION CHAMBER , 2005 .

[5]  Kevin N. Gurney,et al.  An introduction to neural networks , 2018 .

[6]  H. Kretzschmar,et al.  The IAPWS Industrial Formulation 1997 for the Thermodynamic Properties of Water and Steam , 2000 .

[7]  M. Thring.  World Energy Outlook , 1977 .

[8]  Detlev G. Kröger,et al.  Performance optimization of dry-cooling systems for power plants through SQP methods , 1998 .

[9]  Antonio Rovira,et al.  Thermoeconomic optimization of combined cycle gas turbine power plants using genetic algorithms , 2003 .

[10]  Rüdiger Franke,et al.  Optimization of boiler start-up using a nonlinear boiler model and hard constraints , 2004 .

[11]  José Herskovits,et al.  Mathematical programming models and algorithms for engineering design optimization , 2005 .

[12]  T. E. Daubert,et al.  Data compilation tables of properties of pure compounds , 1985 .

[13]  Jussi Manninen,et al.  Thermodynamic analysis and mathematical optimisation of power plants , 1998 .

[14]  Chuguang Zheng,et al.  Exergy cost analysis of a coal fired power plant based on structural theory of thermoeconomics , 2006 .

[15]  Nils J. Nilsson,et al.  Artificial Intelligence: A New Synthesis , 1997 .

[16]  Jong-Bae Park,et al.  An improved genetic algorithm for generation expansion planning , 2000 .

[17]  Kefa Cen,et al.  A Novel Non-Linear Programming-Based Coal Blending Technology for Power Plants , 2000 .

[18]  Julio Vera,et al.  Optimization of biochemical systems through mathematical programming: Methods and applications , 2010, Comput. Oper. Res..

[19]  Ali Ghaffari,et al.  Steam turbine model , 2008, Simul. Model. Pract. Theory.