Mechanism of Energy-Consumption Benchmark State for Coal-Fired Power Units with Varying Boundary

Article Preview

Abstract:

The in-depth energy conservation of thermal power units is confronting new challenges under the varying operation conditions and ambient constraints. Compared with traditional optimal values, the description of energy-consumption benchmark state was proposed to describe the economic performance of thermal power units with the varying operation boundary, operation conditions and equipment performance. The energy consumption interactions of units were divided into 4 parts: parameters, equipment, subsystems and units. The models for energy-consumption benchmark states were established with the fuel specific consumption (FSC) setting as the optimization objective. Such a method was performed on a 600MW supercritical power unit and the results show that the energy-consumption benchmark state, which is related with the varying boundary, can reflect the boundary condition, operation lever and equipment performance. It makes significant reference for the energy-saving diagnosis and operation optimization of thermal power units under overall working conditions.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

690-695

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Guochao Cang, Haiji Wu, Lei Wang, Fengqi Si, Zhibu Xu. Research for determining the benchmark value of boiler operation oxygen [J]. Boiler Technology, 2008, 39(2): 22-24.

Google Scholar

[2] Ning Jiang, Zuqing Cao. Evaluating the cleanness of water and steam sides in condenser by using standard heat transfer coefficient [J]. thermal power generation, 2001(2): 43-45.

Google Scholar

[3] Haidong Huang, Shuping Chang, Tongrui Cheng, Chunfa Zhang. Models for benchmark values calculation of controllable parameters in turbine under large peak shaving conditions [J]. Turbine Technology, 2009, 51(2): 100-106.

Google Scholar

[4] Yuna Zhu, Peihong Wang, Zhenzhong Lv. Determing methods for condenser off design conditions calculation and transfer coefficient [J]. Power System Engineering, 1998, 14: 9-11.

Google Scholar

[5] Deren Sheng, Haoren Ren, Jianhong Chen etc. Study for the beginning optimizing pressure under peak shaving conditions [J]. Power engineering, 2000, 20(5): 809-812.

Google Scholar

[6] Shuibao Yan. Investigation of analysis method of saving of thermodynamic system in thermal power plant[D].

Google Scholar

[7] Zhiqun Wu, Dinghui Wang, Tinghui Huang etc. The calculation methods of optimization target calculation of boiler operation[J]. Thermal power generation, 2006(9): 27-29.

Google Scholar

[8] Guoxiang Qiu, Siyuan Wang, Wenbiao Wang. Application of data mining in power plant operation optimization target values determining[J]. Control Theory and Applications, 2006, 25(3): 6-8.

Google Scholar

[9] Zhiping Song. Theory and application of fuel specific consumption [J]. Proceedings of the CSEE, 1992, 12(4): 15 – 21.

Google Scholar

[10] Ligang Wang, Yongping Yang, Changqiang Dong etc. Improvement and Primary Application o f Theory of Fuel Specific Consumption[J]. Proceedings of the CSEE. 2012, 32(11): 16-21.

Google Scholar

[11] Zhiping Song, Hongtao Li. Case analysis of fuel specific consumption [J], Journal of Engineering Thermophysics, 1996, 17(4): 397-399.

Google Scholar

[12] Huijie Wang. The states reconstruction of power unit based on mix model and research of operation optimization [D].

Google Scholar

[13] Tsatsaronis G, Morosuk T. A general exergy-based method for combining a cost analysis with an environmental impact analysis , Part I-theoretical development[J]. Proceedings of 2008 ASME International Mechanical Engineering Congress and Exposition (IMECE2008), Boston, USA, (2008).

DOI: 10.1115/imece2008-67218

Google Scholar

[14] Tsatsaronis G, Morosuk T. A general exergy-based method for combining a cost analysis with an environmental impact analysis, Part II-application to a cogeneration system[J]. Proceedings of 2008 ASME International Mechanical Engineering Congress and Exposition (IMECE2008), Boston, USA, (2008).

DOI: 10.1115/imece2008-67219

Google Scholar