The energy saving and emission reduction in thermal plant is complex, with the open, non-equilibrium and interoperability features. In order to identifying the order parameters affecting plant system, a co-evolution model of energy saving and emission reduction in thermal power plant was built based on synergetic theory. According to the feathers of potential function based on mutation theory, the performance was divided into high efficiency, low efficiency and critical situation three operating states. Then, a dynamic evaluation rule was proposed in order to achieve dynamic performance evaluation on energy saving and emission reduction of thermal power plant. Finally, an empirical analysis of a thermal power plant showed that the order parameter of energy saving and emission reduction in this plant are soot emissionper unit power and grid electricity generation. There existed “high efficiency” and “low efficiency” performance status of energy saving and emission reduction. The performance before June in 2012 was mostly inefficient, things have changed since the investment in energy saving technology projects, the energy saving and emission reduction performance in this plant after June 2012 was highly efficient, which was in line with the actual situation, and proved the validity of this method used in dynamic performance evaluation on energy saving and emission reduction of thermal power plant.
Published in |
International Journal of Environmental Protection and Policy (Volume 2, Issue 6-1)
This article belongs to the Special Issue Energy, Environmental and Climate Policy |
DOI | 10.11648/j.ijepp.s.2014020601.11 |
Page(s) | 1-10 |
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 |
Energy Saving and Emission Reduction, Synergetic Subject, Order Parameter, Potential Function, Performance Evaluation
[1] | R. Rajeev, C. Brian, ”Modeling complex systems macroscopically: Case agent based modeling, synergetics, and the continuity equation,” Complexity, vol.18, no.2, pp.8-17.2012. |
[2] | A. Liening, G. Strunk, E. Mittelstadt,” 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. |
[3] | Z.-K. Song,” A Study on Integrated Mechanism of Metallurgy Enter Prise Technology Innovation Based on Synergetic Theory,” Tian Jin University. 2006. |
[4] | S.-Y. Li, et al,” Nonlinear Science and Complexity Science,”Harbin Institute of Technology Press, pp.44-53.2006. |
[5] | Harken, Z.-A. Guo, “Higher Synergetics,” Beijing Science Press.1989. |
[6] | Q.-H. Zeng, et al (Translation),” From chaos to order,” Shanghai Translation Publishing House. 1987. |
[7] | Y. Yao,” Technique evolutionary mechanisms and organizational order parameter,” Dialectics of Nature, vol.23, no.4, pp. 47-49. |
[8] | Q. Feng,” Enterprise re-search on sustainable development capacity applied with synergetic theory,” Proceedings of In-ternational Conference on Enterprise Engineering and Management Innovation, pp.142-146.2007. |
[9] | S.-F. Liu, Y.-G. Dang, Z.-G. Fang,” System theory and application,” Bei-jing: Science Press,no.5, pp.146-147.2010. |
[10] | J.-Q. Sun, D.-X. Niu, L. Yuan, C.-J. Li,” Empirical Study of the Complex Characteristics of the Electricity Market and its Evolution,” Economic and Management Research, no.11,pp.3-8.2012. |
[11] | X.B. Hong, H. Wang, T. Wang,” Dynamic co-operative identification based on synergetics for pipe structural health monitoring with piezoce-ramic transducers,” smart materials and structures, vol,22, no.4. 2013. |
[12] | J.-Q. Sun, L. Yuan, C.-J. Li,” Recognition of the electricity market operator status based on complex systems theory,” Management Science, vol.6,no.25, pp.111-118.2012. |
[13] | F.-L. Feng, L.-W. Yang, L. Dan,” Or-der parameter model for synergetic theory based railway freight system and evolution in China. Promet-traffic & transportation, vol,25, no,3, pp.195-207.2013. |
[14] | P. Wang, K.-Y. Zhang,” The synergetic theory of enterprise management in the dynamic and complicated environment,” Integration and innovation through measurement and management. pp. 2327-2334. 2006. |
[15] | Z.-H. Jiang,” Design of a nonlinear power system stabilizer using synergetic control theory,” electric power systems research, vol.79, no.6, pp.855-862.2009. |
[16] | L.-J. Liu, L.-M. Wang,” Establishing System Dynamic Model for Energy Saving and Emission Reduction in Electric Power Enterprise,” East China Electric Power, vol.38,no.10, pp.1498-1500,2010. |
[17] | L.-J. Liu, W.-W. Hong,” System dynamics simulation and control of energy saving in thermal power compa-nies,” no.1, pp.36-40, 2012. |
APA Style
Zhang Lei, Li Na-na, Zhao Hui-ru, Yang Kun. (2014). Dynamic Performance Evaluation on Energy Saving and Emission Reduction of Thermal Power Plant Based on the Self-Organizing Co-Evolution. International Journal of Environmental Protection and Policy, 2(6-1), 1-10. https://doi.org/10.11648/j.ijepp.s.2014020601.11
ACS Style
Zhang Lei; Li Na-na; Zhao Hui-ru; Yang Kun. Dynamic Performance Evaluation on Energy Saving and Emission Reduction of Thermal Power Plant Based on the Self-Organizing Co-Evolution. Int. J. Environ. Prot. Policy 2014, 2(6-1), 1-10. doi: 10.11648/j.ijepp.s.2014020601.11
@article{10.11648/j.ijepp.s.2014020601.11, author = {Zhang Lei and Li Na-na and Zhao Hui-ru and Yang Kun}, title = {Dynamic Performance Evaluation on Energy Saving and Emission Reduction of Thermal Power Plant Based on the Self-Organizing Co-Evolution}, journal = {International Journal of Environmental Protection and Policy}, volume = {2}, number = {6-1}, pages = {1-10}, doi = {10.11648/j.ijepp.s.2014020601.11}, url = {https://doi.org/10.11648/j.ijepp.s.2014020601.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.s.2014020601.11}, abstract = {The energy saving and emission reduction in thermal plant is complex, with the open, non-equilibrium and interoperability features. In order to identifying the order parameters affecting plant system, a co-evolution model of energy saving and emission reduction in thermal power plant was built based on synergetic theory. According to the feathers of potential function based on mutation theory, the performance was divided into high efficiency, low efficiency and critical situation three operating states. Then, a dynamic evaluation rule was proposed in order to achieve dynamic performance evaluation on energy saving and emission reduction of thermal power plant. Finally, an empirical analysis of a thermal power plant showed that the order parameter of energy saving and emission reduction in this plant are soot emissionper unit power and grid electricity generation. There existed “high efficiency” and “low efficiency” performance status of energy saving and emission reduction. The performance before June in 2012 was mostly inefficient, things have changed since the investment in energy saving technology projects, the energy saving and emission reduction performance in this plant after June 2012 was highly efficient, which was in line with the actual situation, and proved the validity of this method used in dynamic performance evaluation on energy saving and emission reduction of thermal power plant.}, year = {2014} }
TY - JOUR T1 - Dynamic Performance Evaluation on Energy Saving and Emission Reduction of Thermal Power Plant Based on the Self-Organizing Co-Evolution AU - Zhang Lei AU - Li Na-na AU - Zhao Hui-ru AU - Yang Kun Y1 - 2014/06/14 PY - 2014 N1 - https://doi.org/10.11648/j.ijepp.s.2014020601.11 DO - 10.11648/j.ijepp.s.2014020601.11 T2 - International Journal of Environmental Protection and Policy JF - International Journal of Environmental Protection and Policy JO - International Journal of Environmental Protection and Policy SP - 1 EP - 10 PB - Science Publishing Group SN - 2330-7536 UR - https://doi.org/10.11648/j.ijepp.s.2014020601.11 AB - The energy saving and emission reduction in thermal plant is complex, with the open, non-equilibrium and interoperability features. In order to identifying the order parameters affecting plant system, a co-evolution model of energy saving and emission reduction in thermal power plant was built based on synergetic theory. According to the feathers of potential function based on mutation theory, the performance was divided into high efficiency, low efficiency and critical situation three operating states. Then, a dynamic evaluation rule was proposed in order to achieve dynamic performance evaluation on energy saving and emission reduction of thermal power plant. Finally, an empirical analysis of a thermal power plant showed that the order parameter of energy saving and emission reduction in this plant are soot emissionper unit power and grid electricity generation. There existed “high efficiency” and “low efficiency” performance status of energy saving and emission reduction. The performance before June in 2012 was mostly inefficient, things have changed since the investment in energy saving technology projects, the energy saving and emission reduction performance in this plant after June 2012 was highly efficient, which was in line with the actual situation, and proved the validity of this method used in dynamic performance evaluation on energy saving and emission reduction of thermal power plant. VL - 2 IS - 6-1 ER -