Model-based optimization of water resource recovery facilities

基于模型的水资源回收设施优化

• 批准号: RGPIN-2016-06522
• 负责人: Vanrolleghem, Peter
• 金额: $ 3.64万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=667616
• 关键词: Model; based; optimization; water; resource

An important change is happening to the wastewater industry: a paradigm shift is occurring from an industry that treats wastewater to an industry that brings a more positive message: it produces clean water, and recovers fertilizers and energy contained in ‘used' water. The fact that WRRFs aim at delivering valued products that can partially replace those produced by other means (typically in the chemical industry) leads to a big change in specifications of the outputs of the facility: no longer treated wastewater and biosolids, but products that have to compete with what is already on the market. These tighter specifications will impose a challenge on the process control systems that will be required to guarantee the quality of the products of the WRRFs. Given the difficulties in collecting high quality data on which the control systems rely to act upon the system (recent practical studies using partially automated data validation report data losses of 5 to 60%), important research efforts have to be deployed to create the process monitoring and control systems that maintain these tight product specifications at all time.***Over the next 5 years the research program of this Discovery grant will develop control systems that benefit from the ability of new algorithms to not only reliably detect faults in the measurement equipment but can also find out what is wrong with the sensors (fault diagnosis). With this knowledge the problem can of course be handled through proper maintenance or replacement of the sensor, but until that happens, the control system must be able to still perform adequately. Fault-accommodation is the methodology that is then put in place and methods will be developed to replace the faulty data by using either historical information or simple models. In case the fault is too disruptive, a different control strategy will have to be adopted that does not rely on these data. A so-called control reconfiguration based on a fall-back strategy has to occur. Finally, because the requirements imposed on resource recovery facilities are becoming so much more stringent, a control approach that seems particularly suited for this type of situations with multiple objectives and complex behavior, will be evaluated: Extermum seeking control. Its intuitive nature will make sure that the results of this research have a good chance to make it to practice and generate the anticipated advances in performance.***The project will train 8 graduate students (4 PhD and 4 MSc), at least 3 undergraduates, a postdoctoral fellow and a technician responsible for the industry standard pilot plant on which the different methods will be developed and tested. These HQP will acquire a wide range of skills thanks to the involvement in the different aspects of the research project, the exposure to national and international research and to practice through the work on an industry standard pilot facility.

废水行业正在发生一个重要的变化：将废水处理给一个带来更积极信息的行业的行业正在发生范式转变：它会产生清洁的水，并恢复“二手水”中所含的肥料和能量。 WRRF旨在交付可能部分替代其他方式（通常在化学工业中）生产的产品的价值产品，这一事实导致了该设施的产出的规格发生了很大变化：不再处理的废水和生物固体，而是必须与已经在市场上已经竞争的产品。这些更严格的规格将对过程控制系统构成挑战，以确保WRRF的产品质量。鉴于很难收集控制系统依赖于该系统的高质量数据（使用具有自动化的数据验证报告的数据损失5％至60％），必须部署重要的研究工作，以创建过程监视和控制系统，以创建这些紧密的产品在所有时间内维护这些紧张的产品规范的过程。测量设备，但也可以找出传感器的问题（故障诊断）。有了这些知识，当然可以通过适当的维护或更换传感器来解决问题，但是在此之前，控制系统必须仍然能够充分执行。故障习惯是将其放置在适当位置的方法，并将使用使用历史信息或简单模型来开发方法来替换错误数据。如果故障过于破坏性，则必须采用不同的控制策略，而不依赖这些数据。必须发生基于倒塌策略的所谓控制重新配置。最后，由于对资源恢复设施的要求变得越来越严格，因此将评估一种控制方法，似乎特别适合具有多种目标和复杂行为的这种情况：寻求控制。它的直观性质将确保这项研究的结果有很好的机会练习并产生预期的绩效进步。这些HQP将获得广泛的技能，感谢研究项目不同方面的参与，国家和国际研究的曝光以及通过在行业标准试点设施上的工作进行实践。