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生物建模在污水处理厂问题诊断与运行优化中的应用
引用本文:李天宇, 高辉, 王飞, 李凯, 安敬艳, 郝晓地, 吴远远, 刘杰, 林甲. 生物建模在污水处理厂问题诊断与运行优化中的应用[J]. 环境工程学报, 2021, 15(10): 3443-3454. doi: 10.12030/j.cjee.202102039
作者姓名:李天宇  高辉  王飞  李凯  安敬艳  郝晓地  吴远远  刘杰  林甲
作者单位:1.北京首创生态环保集团股份有限公司, 技术中心/中-荷未来污水技术研发中心, 北京 100044; 2.泗县首创污水处理有限公司, 宿州 234300; 3.北京首创东坝水务有限责任公司, 北京 100044; 4.北京建筑大学, 北京未来城市设计高精尖中心/中-荷未来污水技术研发中心, 北京 100044
基金项目:国家自然科学基金;水体污染控制与治理科技重大专项
摘    要:为应对国内污水处理厂普遍遇到的稳定达标难、能耗药耗高等运营技术问题,以泗县污水处理厂改良型氧化沟工艺为案例,利用系统性三步数据清洗方法,基于Biowin-ASDM模型完成了全厂生物建模与模型校正。校正后的模型可识别污水处理厂常规工况下的运行问题,基于生物模型提出的运行优化方案切实可行。该方法仅通过常规运行参数的原位调整,即可在出水稳定达标的前提下,进一步实现污泥脱水药剂减量使用,平均每日药剂投加量环比节省至少46%,生产电耗节省至少840 kW·h·d-1。该案例可为生物建模在国内污水处理厂问题诊断与运行优化应用中提供参考。

关 键 词:生物建模   问题诊断   运行优化   应用验证
收稿时间:2021-02-05

Application of biological modeling in problem diagnosis and operation optimization of wastewater treatment plants
LI Tianyu, GAO Hui, WANG Fei, LI Kai, AN Jingyan, HAO Xiaodi, WU Yuanyuan, LIU Jie, LIN Jia. Application of biological modeling in problem diagnosis and operation optimization of wastewater treatment plants[J]. Chinese Journal of Environmental Engineering, 2021, 15(10): 3443-3454. doi: 10.12030/j.cjee.202102039
Authors:LI Tianyu  GAO Hui  WANG Fei  LI Kai  AN Jingyan  HAO Xiaodi  WU Yuanyuan  LIU Jie  LIN Jia
Affiliation:1.Beijing Capital Eco-Environment Protection Group Co., Ltd., Technical Center/Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies, Beijing 100044, China; 2.Sixian Capital Wastewater Treatment Co., Ltd., Suzhou 234300, China; 3.Beijing Capital Dongba Water Co., Ltd., Beijing 100044, China; 4.Beijing Advanced Innovation Center of Future Urban Design/Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Abstract:To address the difficulty in meeting effluent discharge standard stably, high energy consumption, and high chemical dosage of domestic wastewater treatment plants, a case study of improved oxidation ditch process of Sixian wastewater treatment plant (WWTP) is carried out. The modeling procedure and model calibration of the WWTP are completed based on the Biowin-ASDM model by applying the systematic three-step data cleaning method. Benefited from the reliable biological modeling technology, the calibrated model can correctly identify the operation problems of WWTP under normal conditions, and the operation optimization plan based on the biological model is feasible. Only through in-situ adjustment of operational parameters, the consumption of sludge dewatering chemicals can be saved up to 46% and the reduction of power consumption is over 840 kW·h·d−1, both on the basis of providing stable effluent quality. The practical application results show that the biological modeling has guiding significance in the problem diagnosis and operation optimization of domestic WWTPs.
Keywords:biological modeling  problem diagnosis  operation optimization  application verification
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