Off-design operation of an 900 MW-class power plant with utilization of low temperature heat of flue gases

This article presents the o-design operation of a 900 MW-class steam turbine cycle upgraded with utilization of lowtemperature waste heat taken from boiler flue gas. The low-temperature heat contributes to increasing the eciency of power plants without introducing many complex changes to the whole system. The base for investigations was a power unit operating in o-design conditions and supplied with steam from a BB–2400 boiler. Modifications to the model were made using commercially available software and by applying the Stodola equation and the SCC method. Calculations for o-design conditions show that, after making some modifications to the system, both heat and electricity generation could be increased through the addition of a low-temperature heat exchanger.

[1]  J. M. Chawla Waste heat recovery from flue gases with substantial dust load , 1999 .

[2]  Ricardo Chacartegui,et al.  Potential of molten carbonate fuel cells to enhance the performance of CHP plants in sewage treatment facilities , 2013 .

[3]  Georges Descombes,et al.  Modelling of waste heat recovery for combined heat and power applications , 2009 .

[4]  Hao Wu,et al.  Flexible heat exchanger network design for low-temperature heat utilization in oil refinery , 2011 .

[5]  Anna Skorek-Osikowska,et al.  Economic analysis of a supercritical coal-fired CHP plant integrated with an absorption carbon capture installation , 2014 .

[6]  Jan Pawel Stempien,et al.  Performance of power generation extension system based on solid-oxide electrolyzer cells under various design conditions , 2013 .

[7]  Ibrahim Dincer,et al.  A transient analysis of three-dimensional heat and mass transfer in a molten carbonate fuel cell at start-up , 2014 .

[8]  Stanislaw Sieniutycz,et al.  Energy Optimization in Process Systems and Fuel Cells Ed. 2 , 2013 .

[9]  Jarosław Milewski,et al.  Combined heat and power unit based on polymeric electrolyte membrane fuel cell in a hotel application , 2010 .

[10]  Elio Jannelli,et al.  Analyzing microcogeneration systems based on LT-PEMFC and HT-PEMFC by energy balances , 2013 .

[11]  Shuang-Ying Wu,et al.  The Analysis of Exergy Efficiency in the Low Temperature Heat Exchanger , 2007 .

[12]  Alireza Behroozsarand,et al.  Application of artificial neural networks (ANN) for modeling of industrial hydrogen plant , 2013 .

[13]  B. Reddy,et al.  Second law analysis of a waste heat recovery based power generation system , 2007 .

[14]  Mohd Ali Hashim,et al.  Thermal stress management of a solid oxide fuel cell using neural network predictive control , 2013 .

[15]  Jung‐Ho Wee Carbon dioxide emission reduction using molten carbonate fuel cell systems , 2014 .

[16]  Andrea Lanzini,et al.  Experimental study of dry reforming of biogas in a tubular anode-supported solid oxide fuel cell , 2013 .

[17]  Ping Yuan,et al.  Performance Optimization and Selection of Operating Parameters for a Solid Oxide Fuel Cell Stack , 2013 .

[18]  B. Scrosati,et al.  Adaptive neuro‐fuzzy inference system and artificial neural network modeling of proton exchange membrane fuel cells based on nanocomposite and recast Nafion membranes , 2013 .

[19]  K. C. Cotton,et al.  A Method for Predicting the Performance of Steam Turbine-Generators....: 16,500 kw and Larger , 1963 .

[20]  Marco Sorrentino,et al.  A neural network estimator of Solid Oxide Fuel Cell performance for on-field diagnostics and prognostics applications , 2013 .

[21]  Jack Brouwer,et al.  Hybrid Fuel Cell Gas Turbine System Design and Optimization , 2013 .

[22]  Jian Cao,et al.  New sensor for gases dissolved in transformer oil based on solid oxide fuel cell , 2014 .

[23]  Mohsen Assadi,et al.  Artificial neural network model of a short stack solid oxide fuel cell based on experimental data , 2014 .

[24]  Wang We,et al.  Analyses of part-load control modes and their performance of a SOFC/MGT hybrid power system , 2013 .

[25]  Wojciech M. Budzianowski,et al.  Modelling of CO2 content in the atmosphere until 2300: influence of energy intensity of gross domestic product and carbon intensity of energy , 2013 .

[26]  Jarosław Milewski,et al.  Boosting the Efficiency of an 800 MW-Class Power Plant through Utilization of Low Temperature Heat of Flue Gases , 2013 .

[27]  M. Jabbari,et al.  Numerical analysis of transport phenomena for designing of ejector in PEM forklift system , 2014 .

[28]  Wei Liu,et al.  Performance improvement of ceria-based solid oxide fuel cells with yttria-stabilized zirconia as an electronic blocking layer by pulsed laser deposition , 2013 .

[29]  Shuang-Ying Wu,et al.  EXERGO-ECONOMIC PERFORMANCE EVALUATION ON LOW TEMPERATURE HEAT EXCHANGER , 2005 .

[30]  Ricardo Chacartegui,et al.  Molten carbonate fuel cell: Towards negative emissions in wastewater treatment CHP plants , 2013 .

[31]  Łukasz Bartela,et al.  The influence of economic parameters on the optimal values of the design variables of a combined cycle plant , 2010 .

[32]  Diamantis P. Bakalis,et al.  Incorporating available micro gas turbines and fuel cell: Matching considerations and performance evaluation , 2013 .

[33]  Jonathan Deseure,et al.  Solid oxide electrolysis cell 3D simulation using artificial neural network for cathodic process description , 2013 .

[34]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[35]  Jung-Yang San,et al.  Second-law performance of heat exchangers for waste heat recovery , 2010 .

[36]  Zheng Dang,et al.  Electrochemical performance study of solid oxide fuel cell using lattice Boltzmann method , 2014 .

[37]  J Yan,et al.  Performance evaluation of adding ethanol production into an existing combined heat and power plant. , 2010, Bioresource technology.

[38]  Shuang-Ying Wu,et al.  EXERGY TRANSFER CHARACTERISTICS ON LOW TEMPERATURE HEAT EXCHANGERS , 2007 .