Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2020-06-30 , DOI: 10.1016/j.compchemeng.2020.107001 F. Abunde Neba , Michel Tornyeviadzi , Nana Y. Asiedu , Ahmad Addo , John Morken , Stein W. Østerhus , Razak Seidu
Uncertainty in operating parameters such as temperature undermines the reliability of using kinetic models in performance projections for plants operated under ambient non-isothermal conditions. This study develops a theoretical framework, which uses process kinetics, uncertainty quantification to define robust operating limits known as self-optimizing attainable regions, where by instead of defining a very large operating limit, which will be achieved some of the times for some of the reactor configurations, we define a self-optimizing limit, which will be achieved all the times for all possible reactor configurations (despite variations in temperature). Using a temperature range of 20 – 60∘C, , the results indicate that decreasing temperature uncertainty, increasing process temperature or using a multistage digester structure increases the self-optimizing operating limits: , and obtained for temperatures of 20.00, 31.60 and 52.40∘C respectively. The findings highly important in defining performance targets especially when there is uncertainty in environmental conditions.
中文翻译:
是否可以确定非等温条件下运行的沼气厂的运行极限?对自我优化的可达到区域建模
操作参数(例如温度)的不确定性破坏了在环境非等温条件下运行的工厂的性能预测中使用动力学模型的可靠性。这项研究建立了一个理论框架,该理论框架使用过程动力学,不确定性量化来定义称为自优化可达到区域的稳健运行极限,在此情况下,代替定义非常大的运行极限,某些情况下有时会实现对于反应堆配置,我们定义了一个自优化限制,对于所有可能的反应堆配置(尽管温度变化),该限制将一直实现。使用温度范围为20 – 60 temperature C结果表明,降低温度不确定性,提高过程温度或使用多级蒸煮器结构会提高自优化运行极限: , 和 为20.00,31.60和52.40温度下获得∘ Ç分别。这些发现对于定义绩效目标非常重要,尤其是在环境条件不确定的情况下。