Dynamic performance evaluation on energy saving and emission reduction of thermal power plant based on the self-organizing co-evolution

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.