Study of control strategy and simulation in anoxic-oxic nitrogen removal process
Study of control strategy and simulation in anoxic-oxic nitrogen removal process作者机构:KeyLabofBeijingforWaterQualityScienceandWaterEnvironmentalRecoveryEngineeringBeijingUniversityofTechnologyBeijing100022China EngineeringCenterofChineseResearchAcademyofEnvironmentalSciencesBeijing100012China
出 版 物:《Journal of Environmental Sciences》 (环境科学学报(英文版))
年 卷 期:2005年第17卷第3期
页 面:425-428页
核心收录:
学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 08[工学]
基 金:Foundation item:Beijing Science and Technology Commission(No. H020620010120) the Significant International Projects of the National Natural Science Foundation of China(No. 50521140075) Beijing Municipal Education Commission(No. KZ200310005003) and Beijing Key Laboratories
主 题:ASM No.1 biological nitrogen removal external carbon addition feed-forward PI control
摘 要:The control strategy and simulation of external carbon addition were specially studied in an anoxic-oxic(A/O) process with low carbon: nitrogen(C/N) domestic wastewater. The control strategy aimed to adjust the flow rate of external carbon dosage to the anoxic zone, thus the concentration of nitrate plus nitrite(NOx--N) in the anoxic zone was kept closed to the set point. The relationship was studied between the NOx--N concentration in the anoxic zone(S_ NO) and the dosage of external carbon, and the results showed that the removal efficiency of the total nitrogen(TN) could not be largely improved by double dosage of carbon source when S_ NO reached about 2 mg/L. Through keeping S_ NO at the level of about 2 mg/L, the demand of effluent quality could be met and the carbon dosage could be optimized. Based on the Activated Sludge Model No.1(ASM No.1), a simplified mathematical model of external carbon dosage was developed. Simulation results showed that PI controller and feed-forward PI controller both had good dynamic response and steady precision. And feed-forward PI controller had better control effects due to its consideration of influent disturbances.