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Application of Digital Twin to Monitor and Optimize Utility Process |
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Hodong Lee(Seoul National University, Korea), Kunpeng Guo, Lorena Souza(Siemens Process Systems Engineering, United Kingdom), Jong Min Lee(Seoul National University, Korea) |
| Digital transformation utilizing the digital twin can provide enormous benefit. It is possible to effectively monitor the process operation and control the process erroneous behavior. In addition, the better operational strategy can be identified through process optimization. To perform such activities, we established a digital platform that allows the operational personnel to efficiently monitor the operation condition. As exclusive features of the project for the utility system the platform suggests the multi-level optimization results. It also provides a tool, what-if analysis, to simulate the hypothetical situation in preparation for the possible change of the external factors. |
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Digital Application of Bioreactor Monitoring |
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Hye Ji Lee(Seoul National University, Korea), Sarah Fadda, Lorena F.S. Souza(Simens Process Systems Engineering Limited, United Kingdom), Jong Min Lee(Seoul National University, Korea) |
| The web-based platform where to apply theoretical studies deal with the batch monitoring is proposed. 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. 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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Applying Digital Application Platform to Optimize Steam Methane Reforming Process |
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Tae Hoon Oh(Seoul National University, Korea), Lorena F.S. Souza(Siemens Process Systems Engineering Limited, United Kingdom), Jong Min Lee(Seoul National University, Korea) |
| 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. |
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Development and evaluation of various FINEX off-gas utilization processes for sustainable steelmaking industry |
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Woohyun Jeong(KAIST, Korea), Jaeseo Lee(Korea Advanced Institute of Science and Technology, Korea), Jay H Lee(KAIST, Korea) |
| This study proposes and evaluates three options for FINEX off-gas (FOG) capture and utilization: post-combustion CO2 capture, pre-combustion CO2 capture, and methanol production following the pre-combustion capture. These options are comparatively evaluated in terms of their net CO2 emissions and economics using CO2 lifecycle assessment and Techno-economic analysis. The post-combustion capture option was observed to give the largest amount of CO2 emission reduction. Pre-combustion capture showed the lowest CO2 avoidance cost. Lastly, methanol production case was found to be strongly affected by global warming impact of the mixed electricity and methanol price through sensitivity analysis. |
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Optimal Design and Operation of Multi-Microgrid Considering the Renewable Energy Sources |
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Dongho Han, Jay H Lee(KAIST, Korea) |
| The uncertain nature of renewable sources makes the generation irregular in a microgrid (MG). Multi-microgrid (MMG) incorporating the energy trading between MGs can alleviate the problem, but its design and operation are complicated. We propose a two-stage stochastic programming approach to handle them considering the uncertainty described by stochastic models that we develop. In the first stage, design-level decisions on the installation of electric cables are determined. Operation-level decisions on energy dispatches and energy trading are determined on a daily basis in the second stage. |
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