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.
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