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Use of modelling to evaluate best control practice for winery-type wastewaters

机译:使用模型评估酿酒厂型废水的最佳控制方法

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Winery wastewaters are high strength, and readily biodegradable, making them perfect for application of anaerobic digestion. However, inherent buffering against pH changes also requires some process knowledge and monitoring. They are therefore an important target for anaerobic process control. This has had limited application, but is emerging as an important research and development area. In this paper, we evaluate the use of model-based control analysis of a heavily loaded vinasse-fed reactor. Two controllers – both proportional-integral (PI) – on total volatile fatty acids (VFA) (<500 mg/L), alkalinity (VFA/Total Alkalinity < 0.2) were evaluated in a fitted model, against the actual control mechanism used, which was model-based adaptive control. The two controllers were both less aggressive than the adaptive controller, producing less gas overall, but also using more caustic for pH control. The controllers were also evaluated against their ability to deal with noise, as PI controllers are relatively poor for controlling non-linear processes. The VFA controller was very poor with noise added, proving difficult to tune, and oscillatory. The alkalinity controller was effective with moderate detuning. This emphasizes the need to use effective controller inputs, when applying simple, linear controllers. Overall, use of a model was an effective method to evaluate the different controllers in a competitive way, in a standardized environment.
机译:酒厂废水强度高,易于生物降解,使其非常适合厌氧消化应用。但是,针对pH变化的固有缓冲也需要一些过程知识和监控。因此,它们是厌氧过程控制的重要目标。它的应用范围有限,但正在成为重要的研发领域。在本文中,我们评估了重载酒糟供料反应堆基于模型的控制分析的使用。根据拟合的实际控制机制,在拟合模型中评估了总挥发性脂肪酸(VFA)(<500 mg / L),碱度(VFA /总碱度<0.2)的两个控制器(均为比例积分(PI)),这是基于模型的自适应控制。这两种控制器都没有自适应控制器那么强悍,总体上产生的气体更少,而且还使用更多的苛性碱来控制pH。还对控制器的噪声处理能力进行了评估,因为PI控制器在控制非线性过程方面相对较差。 VFA控制器非常差,而且增加了噪声,难以调整,而且振荡。碱度控制器在适度失谐下有效。这强调了在应用简单的线性控制器时,必须使用有效的控制器输入。总体而言,模型的使用是在标准化环境中以竞争方式评估不同控制器的有效方法。

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