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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Methodology for Energy Optimization in Wastewater Treatment Plants. Phase III: Implementation of an Integral Control System for the Aeration Stage in the Biological Process of Activated Sludge and the Membrane Biological Reactor
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Methodology for Energy Optimization in Wastewater Treatment Plants. Phase III: Implementation of an Integral Control System for the Aeration Stage in the Biological Process of Activated Sludge and the Membrane Biological Reactor

机译：废水处理厂能量优化方法。 III期：在活性污泥和膜生物反应器中的生物过程中的曝气阶段的整体控制系统的实现

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摘要

The proposed methodology for optimizing energy efficiency, based on good management of the aeration process through the implementation of an appropriate control strategy, achieved reductions of more than 40% in energy consumption at the San Pedro del Pinatar Wastewater Treatment Plant (WWTP) (Murcia, Spain). Phases I and II of this methodology managed to reduce the oxygen needs of the microorganisms in the biological system, optimize the efficiency of oxygen transfer to the biological reactor and redesign the installation to correct abnormal energy loss situations. In addition, we established the basis for Phase III, which implemented a control strategy to achieve stable values close to the setpoints of the fundamental operating parameters of the aeration process. The control system is based on the measurements recorded by strategically installed sensors and mathematical algorithms based on models, achieving an expert adaptive-predictive system that regulates aeration both in the biological stage by activated sludge and the aeration of the installed ultrafiltration membrane system. The objectives were: (i) to achieve automatic execution of the best management strategy; (ii) to reduce the energy demand; (iii) to improve the operation and stability of the process; (iv) to reduce operating costs; and (v) to contribute to the fulfillment of the sustainable development objectives.
机译：通过实施适当的控制策略的良好管理，基于曝气过程的良好管理，实现了曝气过程的良好管理方法，在San Pedro del Pinatar污水处理厂（WWTP）的能耗降低了40％以上的40％（Murcia，西班牙）。该方法的阶段I和II管理用于降低生物系统中微生物的氧需求，优化氧气转移到生物反应器的效率，并重新设计安装以纠正异常的能量损失情况。此外，我们建立了III阶段的基础，该阶段实施了控制策略，以实现稳定的值，接近曝气过程的基本操作参数的设定值。控制系统基于战略安装的传感器和数学算法记录的测量，基于模型，实现了通过活性污泥和安装的超滤膜系统的曝气来调节生物阶段的曝气的专家自适应预测系统。目标是：（i）实现最佳管理策略的自动执行; （ii）降低能源需求; （iii）改善该过程的运作和稳定性; （iv）减少运营成本; （v）为实现可持续发展目标做出贡献。

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