Vittori Ferreira Matheus, Young André Ferreira, Pinto José Carlos Costa da Silva
Escola de Química, Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos, 149, Rio de Janeiro 21945-970, Brazil.
Departamento de Engenharia Química e de Petróleo, Universidade Federal Fluminense, Rua Passo da Pátria, 156, Niterói 24220-900, Brazil.
ACS Omega. 2025 Jul 23;10(31):34372-34388. doi: 10.1021/acsomega.5c02293. eCollection 2025 Aug 12.
Process optimization, monitoring, and control play important roles in chemical plants. In an ever-changing environment related to climate concerns, reducing costs, keeping the product's quality, producing more, and finding eco-friendly solutions are crucial to a company's financial stability. Therefore, technical-economic techniques are often applied to verify the feasibility of those practices. Alternative scenarios on process configurations of acetone production via the dehydrogenation of isopropyl alcohol are the object of study of this work. A temperature optimization case study in the reactor was executed to evaluate the possibility of increasing the production. An economic analysis was performed for each scenario, comparing them and evaluating their attractiveness. To simulate as if they were a real and live plant, a PI System environment was developed, creating a dashboard for variables, key process indicators (KPIs), and process anomalies monitoring, and sending alerts if needed. The combined energy source change and temperature optimization scenario made the process economically feasible, increasing revenues by 5.2% and reducing production costs by 0.26%, achieving a net present value (NPV) of US$4.63 M (372% higher than the baseline). This work is a demonstration of how associating process data with a data historian and analyzer allows live testing, enhances safety, and deepens KPI monitoring.
过程优化、监测和控制在化工厂中发挥着重要作用。在与气候问题相关的不断变化的环境中,降低成本、保持产品质量、提高产量以及寻找环保解决方案对于公司的财务稳定至关重要。因此,技术经济技术经常被用于验证这些做法的可行性。通过异丙醇脱氢生产丙酮的过程配置的替代方案是本研究的对象。在反应器中进行了温度优化案例研究,以评估提高产量的可能性。对每个方案进行了经济分析,比较并评估了它们的吸引力。为了模拟真实运行的工厂,开发了一个PI系统环境,创建了一个用于变量、关键过程指标(KPI)和过程异常监测的仪表板,并在需要时发送警报。能源源变化与温度优化相结合的方案使该过程在经济上可行,收入增加了5.2%,生产成本降低了0.26%,实现了463万美元的净现值(NPV)(比基线高372%)。这项工作展示了将过程数据与数据历史记录器和分析仪相结合如何实现实时测试、提高安全性并深化KPI监测。