Research and Application of Collaborative Intelligent Op-timization Technology for Emission Index of Thermal Power Unit Environmental Protection Island
The main emission indicators of ultra-low emission environmental protection islands for coal-fired power plants are NOx,SO2 and soot.Although these three indicators have independent re-moval equipment,there is a synergistic removal effect on each other.Based on the historical operation big data of the power plant and artificial intelligence algorithms,it can be established under different unit loads and coal quality(low calorific value,ash,moisture,sulfur content)working conditions,and on the premise that NOx,SO2 and soot emissions meet the standards.The overall economic optimization benchmark library of the island can be established.Based on this benchmark library,the real-time op-eration of the island can be guided,which can reduce the operating costs of the island.The actual pro-duction application results of the research results in a 350 MW coal-fired power unit show that the col-laborative intelligent optimization of the environmental protection island denitrification,desulfurization and dust removal devices can save operating costs by 7％,12％and 30％respectively compared with before optimization.
Coal-Fired Power PlantEnvironmental Protection IslandFlue Gas PollutantCollabora-tive Optimization
万方数据
维普
