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- 검색키워드
- 저자 : Lorena F.S. Souza (검색결과 3 건)
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Applying Digital Application Platform to Optimize Steam Methane Reforming Process
Tae Hoon Oh,Lorena F.S. Souza,Jong Min Lee 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
The recent advance in measurement equipment, data transmission, and computational power enables digitalizing the process operation and constructing the digital twin. This implies that various existing model-based applications such as process monitoring, forecasting, decision support, and control can be applied to chemical processes with the most updated model in real-time. However, the systematic method of integrating the process data, model-based applications, database, and the user interface has not been well addressed. Therefore, this paper aims to fill this gap by proposing the workflow on applying the integrating framework called gPROMS Digital Application Platform that can receive and validate the process data, execute the various model-based applications, and visualizing the data and process results in a customized web-based user interface. For the case study, the integrating framework is constructed to optimize the SMR process in real-time. The gPROMS Process was used to construct the process model and the optimization problem was solved to find the optimal operating conditions that maximize the thermal efficiency of the reactor. The database stores the model inputs and outputs, and sends the signals to execute the model-based applications. Lastly, the web-based user interface was constructed to offer an environment to monitor the process status and execute the process optimization.
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Digital application of bioreactor monitoring
Hye Ji Lee,Sarah Fadda,Lorena F.S. Souza,Jong Min Lee 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
Real-time monitoring of the batch process is beneficial as many batch processes are employed to produce high value-added products. Although many theoretical studies deal with the monitoring algorithm, the platform where to apply these ideas as well as the algorithm based on a mechanistic model are rarely proposed. In this study, the gPROMS Digital Applications Platform (gDAP) that takes care of all activities for online implementation and execution of models is described. This platform allows connecting a mechanistic cell culture model implemented in the gPROMS FormulatedProducts modeling environment with plant data and web-based Dashboards, which displays both plant data and values estimated by the model. The mathematical model is used to predict the process performance, and it is started by the user from the dashboards. Model outputs are instantly stored in a database, where all the plant and model data are historized. Users can access the dashboards which displays the values stored in the database through the internet. The proposed platform is applied to a monoclonal antibody production process.
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Application of Digital Twin to Monitor and Optimize Utility Process
Ho Dong Lee,Kunpeng Guo,Lorena F.S. Souza,Jong Min Lee 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
Digital transformation utilizing the digital twin of a process can provide enormous benefit. It is possible to effectively monitor the process operation and control the process erroneous behavior by using the high-fidelity digital twin. In addition, the better operational strategy can be identified through process optimization from the digital twin. To perform such activities about the huge scale of process, we established a digital platform that allows the operational personnel to efficiently monitor the operation condition with the useful information such as economics and representative indexes that can be obtained from the digital twin. A chemical plant utility system that has a goal to supply the process utilities such as steam and power stably was used as the target process. As exclusive features of the project for the utility system the platform suggests the multi-level optimization results in terms of the process specifications as well as the trends of the key performance indicators of the process. It also provides a tool, what-if analysis, to simulate the hypothetical situation in preparation for the possible change of the external factors. Using the digital process twin technology, we were able to suggest the capability to save the cost and present the high-level information that cannot be utilized from the process data alone.
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