At present, in the thermal power stations, it always cost a lost to operate the boiler combustion system and the flue gas denitrification system. Under the premise in standard emission, it can improve the power units' economic performance by optimizing the comprehensive operating cost of the boiler combustion system and denitrification system. This paper has used LSSVM to build the model of the boiler combustion system and denitrification system. Furthermore, the genetic algorithm is applied to optimize the integrated cost on-line. For different working conditions, under the constraints of safety and environment protection, the minimal integrated cost is the optimizing target to prevent the SCR cost from reducing. At last, the result shows that the optimized cost has reduced a lot as well as the SCR cost. Otherwise, the NOx emissions in the SCR output has been lowered and met the policy requirement, and that the boiler efficiency is improved significantly. In conclusion, this paper has successfully built a integrated system based on the boiler combustion and denitrification, which has good performance in environment friendly and economic benefit.
|Title of host publication||2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)|
|Publication status||Published - 23 Nov 2017|
|Event||2017 IEEE 14th International Conference on e-Business Engineering - |
Duration: 4 Jun 2017 → 6 Nov 2017
|Conference||2017 IEEE 14th International Conference on e-Business Engineering|
|Period||4/06/17 → 6/11/17|