炼化污水生化工艺处理效果综合评价及数字化应用  被引量:2

Digital application and comprehensive assessment on petroleum refinery wastewater biological processes

在线阅读下载全文

作  者:侯晓峰 赵谨 寇悦 叶黄凡 陈春茂[3] Hou Xiaofeng;Zhao Jin;Kou Yue;Ye Huangfan;Chen Chunmao(China BlueChemical Ltd.,Beijing 100029,China;CenerTech Tianjin Chemical Research and Design Institute Co.,Ltd.,Tianjin 300131,China;State Key Laboratory of Petroleum Pollution Control,China University of Petroleum-Beijing,Beijing 102249,China)

机构地区:[1]中海石油化学股份有限公司,北京100029 [2]中海油天津化工研究设计院有限公司,天津300131 [3]中国石油大学(北京)化学工程与环境学院,石油石化污染物控制与处理国家重点实验室,北京102249

出  处:《工业水处理》2021年第7期70-76,共7页Industrial Water Treatment

摘  要:某重质油炼化企业采用“一级水解酸化+CAST+二级水解酸化+BAF”生化工艺对污水进行“提标”处理。利用所建立的水质综合剖析方法,探明了生化工艺全过程的污染物转化规律,并对各单元处理及数字化应用效果进行了综合评价。研究发现,一级水解酸化去除约30%的污染负荷,但并未发挥预期功能,大部分污染负荷(约60%)是在CAST被去除,二级水解酸化和BAF对污染负荷去除率不足5%。生化工艺主要去除小分子质量低缩合度类化合物,出水中残留低浓度的大分子质量高缩合度类化合物。研究成果可为重质油炼化污水处理场的工艺改进和运行优化提供理论支撑。The biological processes,including Primary Hydrolysis Acidification(PHA)+Cyclic Activated Sludge Te-chnology(CAST)+Secondary Hydrolysis Acidification(SHA)+Biological Aerated Filter(BAF),were used to treat hea-vy oil refinery wastewater.A comprehensive analysis method was established for refinery wastewater and used in the digital application,efficiencies assessment and contaminants conversion behavior along the biological processes.App-roximately 30%of pollutant load was removed by PHA but the biodegradability was not improved.Most of pollutant load(approximately 60%)was reduced in CAST.Only about 5%of pollutant load was removed by SHA+BAF combi-nation.Low molecular weight compounds with low unsaturation degree were dominantly degraded.And some macro-molecular compounds with high unsaturation degree still remained in the effluent of biological processes.The results may guide the further optimization of wastewater treatment plant in heavy oil refineries.

关 键 词:炼化污水 生化工艺 污染物转化 评价 数字化 

分 类 号:X703[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象