Study on Algorithm for Soft Computing Coal-Fired Calorific Value of Utility Boiler
On-line monitoring coal-fired calorific value of utility boiler is the foundation of performance monitoring and optimization of power plant unit. Based on the thermal balance of utility boiler unit, a novel soft computing algorithm was proposed to on-line monitoring coal-fired calorific value. To propose such algorithm, the more accurate thermodynamic system state parameters were taken as input variables and the data were directly collected from DCS. In this algorithm, boiler effective use of heat was firstly calculated, through the prediction-correction iterative algorithm of the positive balance and anti-balance efficiency model. Secondly, boiler real-time coal-fired calorific value was obtained. The results show that the proposed soft computing algorithm has faster response speed, trend consistency, smaller calculation error and the ability to accurately reflect thermal balance of current operating condition. The proposed algorithm provides a new method for on-line calculation.
Utility Boiler Coal-Fired Calorific Value Thermal Balance Soft Computing
Ge Jusheng Wang Peihong Yin Jie
School of Energy and Environment, Southeast University, Nanjing, 210096, China Nanjing Nari-Relays Electric Co., Ltd
国际会议
三亚
英文
533-536
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）