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

Zhang Lei; Li Na-na; Zhao Hui-ru; Yang Kun

doi:doi:10.11648/j.ijepe.20140302.12

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

Zhang Lei, Li Na-na, Zhao Hui-ru, Yang Kun

Published in International Journal of Energy and Power Engineering (Volume 3, Issue 2)

Received: 16 February 2014 Accepted: 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), 2024. Published by Science Publishing Group

Keywords

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

References

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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

Zhang Lei

The Institute of Economics and Management, North China Electric Power University, Beijing, China; State Development and Investment Corporation, Beijing, China
Li Na-na

The Institute of Economics and Management, North China Electric Power University, Beijing, China
Zhao Hui-ru

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

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

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Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download