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Synergistic Evolutionary Model for Dynamic Evaluation of Energy Saving and Emission Reduction in Thermal Power Enterprise

Received: 16 February 2014     Published: 10 March 2014
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Abstract

Through analyzing the complexity of energy saving and emission reduction system in thermal power enterprise, we can find that this system affected by various elements within the system, policies and technologies in the external environment. Therefore, in order to evaluate the performance of energy saving and emission reduction in thermal power plants, both the complex nonlinear relationships among internal elements and the environmental impact should be considered. The state variables of system were determined based on collaborative learning theory, meanwhile a synergistic evolutionary model for dynamic evaluation of energy saving and emission reduction in thermal power enterprise was proposed. Based on the actual data of a thermal plant, the empirical results showed that the grid electricity and soot emissions of per kwh are the order parameters in this system, which plays a key role on the evolution of the energy saving and emission reduction system. Furthermore, the order parameters are the foundation of the performance evaluation.

Published in International Journal of Energy and Power Engineering (Volume 3, Issue 2)
DOI 10.11648/j.ijepe.20140302.12
Page(s) 46-51
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Thermal Power Enterprise, Energy Saving and Emission Reduction, Dynamic Evaluation, Evolutionary Model, Order Parameter

References
[1] Chen. Shen, Meng-rui. Deng." Resource-oriented energy saving and emission reduction evaluation system of enterprise," Wuhan University of Technology, vol.32, no.4, pp. 49-52.2012.
[2] "Coal-fired power generation enterprises clean production evaluation guidelines," National Energy Board, 2012.
[3] "Thermal power industry clean production evaluation index system (pilot)," National Development and Reform Commission, 2012.
[4] Harken, Zhi-an. Guo, "Higher Synergetics," Beijing Science Press.1989.
[5] Liening Andreas. Strunk Guido. Mittelstaedt Ewald." Management Learning in Times of Crisis: An Experimental Study based on Synergetics," Nolinear dynamics psychology and life sciences, vol.17, no.4, pp.517-541.2013.
[6] Rajaram, Rajeev. Castellani, Brian. "Modeling complex systems macroscopically: Case agent based modeling, synergetics, and the continuity equation," Complexity, vol.18, no.2, pp.8-17.2012.
[7] Si-Feng Liu. Yao-guo Dang. Zhi-geng. Fang," System theory and application," Beijing: Science Press,no.5, pp.146-147.2010.
[8] Shi-yong Li. et al," Nonlinear Science and Complexity Science," Harbin Institute of Technology Press, pp.44-53.2006.
[9] Qing-hong Zeng. et al (Translation)," From chaos to order," Shanghai Translation Publishing House. 1987.
[10] Ze-hai Song. "A Study on Integrated Mechanism of Metallurgy Enter Prise Technology Innovation Based on Synergetic Theory," Tian Jin University. 2006.
[11] Jing-qi Sun. Dong-xiao Niu. Chun-jie Li." Empirical Study of the Complex Characteristics of the Electricity Market and its Evolution," Economic and Management Research, no.11,pp.3-8.2012.
[12] Xiao-bin Hong. Wang Han. Wang Tao. "Dynamic cooperative identification based on synergetics for pipe structural health monitoring with piezoceramic transducers," smart materials and structures, vol,22, no.4. 2013.
[13] Yao Yang. Technique evolutionary mechanisms and organizational order parameter [J]. Dialectics of Nature, 2007,23 (4) :47-49, 78.
[14] Jing-qi. Sun. Dong-xiao. Niu. Chun-jie Li. " Recognition of the electricity market operator status based on complex systems theory," Management Science, vol.6,no.25, pp.111-118.2012.
[15] Wang Ping. Zhang Kuanyu. "The synergetic theory of enterprise management in the dynamic and complicated environment," Integration and innovation through measurement and management. pp. 2327-2334. 2006.
[16] Yin-peng. Chen." Energy saving and emission reduction performance evaluation based on osculating value method," Ecology and Environmental Sciences, vol.19, no.2, pp.419-422,2010.
[17] Dong Qing Xiao-yan Wang." Thermal power plant energy evaluation index system," China Electric Power Education, no.9, pp. 56-57, 2011.
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  • APA Style

    Zhang Lei, Li Na-na, Zhao Hui-ru, Yang Kun. (2014). Synergistic Evolutionary Model for Dynamic Evaluation of Energy Saving and Emission Reduction in Thermal Power Enterprise. International Journal of Energy and Power Engineering, 3(2), 46-51. https://doi.org/10.11648/j.ijepe.20140302.12

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    ACS Style

    Zhang Lei; Li Na-na; Zhao Hui-ru; Yang Kun. Synergistic Evolutionary Model for Dynamic Evaluation of Energy Saving and Emission Reduction in Thermal Power Enterprise. Int. J. Energy Power Eng. 2014, 3(2), 46-51. doi: 10.11648/j.ijepe.20140302.12

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    AMA Style

    Zhang Lei, Li Na-na, Zhao Hui-ru, Yang Kun. Synergistic Evolutionary Model for Dynamic Evaluation of Energy Saving and Emission Reduction in Thermal Power Enterprise. Int J Energy Power Eng. 2014;3(2):46-51. doi: 10.11648/j.ijepe.20140302.12

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  • @article{10.11648/j.ijepe.20140302.12,
      author = {Zhang Lei and Li Na-na and Zhao Hui-ru and Yang Kun},
      title = {Synergistic Evolutionary Model for Dynamic Evaluation of Energy Saving and Emission Reduction in Thermal Power Enterprise},
      journal = {International Journal of Energy and Power Engineering},
      volume = {3},
      number = {2},
      pages = {46-51},
      doi = {10.11648/j.ijepe.20140302.12},
      url = {https://doi.org/10.11648/j.ijepe.20140302.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140302.12},
      abstract = {Through analyzing the complexity of energy saving and emission reduction system in thermal power enterprise, we can find that this system affected by various elements within the system, policies and technologies in the external environment. Therefore, in order to evaluate the performance of energy saving and emission reduction in thermal power plants, both the complex nonlinear relationships among internal elements and the environmental impact should be considered. The state variables of system were determined based on collaborative learning theory, meanwhile a synergistic evolutionary model for dynamic evaluation of energy saving and emission reduction in thermal power enterprise was proposed. Based on the actual data of a thermal plant, the empirical results showed that the grid electricity and soot emissions of per kwh are the order parameters in this system, which plays a key role on the evolution of the energy saving and emission reduction system. Furthermore, the order parameters are the foundation of the performance evaluation.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Synergistic Evolutionary Model for Dynamic Evaluation of Energy Saving and Emission Reduction in Thermal Power Enterprise
    AU  - Zhang Lei
    AU  - Li Na-na
    AU  - Zhao Hui-ru
    AU  - Yang Kun
    Y1  - 2014/03/10
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijepe.20140302.12
    DO  - 10.11648/j.ijepe.20140302.12
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 46
    EP  - 51
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.20140302.12
    AB  - Through analyzing the complexity of energy saving and emission reduction system in thermal power enterprise, we can find that this system affected by various elements within the system, policies and technologies in the external environment. Therefore, in order to evaluate the performance of energy saving and emission reduction in thermal power plants, both the complex nonlinear relationships among internal elements and the environmental impact should be considered. The state variables of system were determined based on collaborative learning theory, meanwhile a synergistic evolutionary model for dynamic evaluation of energy saving and emission reduction in thermal power enterprise was proposed. Based on the actual data of a thermal plant, the empirical results showed that the grid electricity and soot emissions of per kwh are the order parameters in this system, which plays a key role on the evolution of the energy saving and emission reduction system. Furthermore, the order parameters are the foundation of the performance evaluation.
    VL  - 3
    IS  - 2
    ER  - 

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Author Information
  • The Institute of Economics and Management, North China Electric Power University, Beijing, China

  • The Institute of Economics and Management, North China Electric Power University, Beijing, China

  • The Institute of Economics and Management, North China Electric Power University, Beijing, China

  • The Institute of Economics and Management, North China Electric Power University, Beijing, China

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