The Meiji University team, represented by SATO Takao, a fourth-year student of the Department of Applied Chemistry, the School of Science and Technology (KANEKO DCE Laboratory), received the following three awards at the 24th Process Design Student Contest of the Society of Chemical Engineers, Japan which was held at Toyosu Campus, Shibaura Institute of Technology.
・Data Engineering Award (Hamari Chemicals, Ltd. Award)
・Process Optimization Award (Kureha Corporation Award)
・Process Simulation Award (AVEVA Japan Award)
In this research, they designed a production process for e-methanol, which is synthesized from hydrogen and carbon dioxide, to maximize production with limited power. In this research, machine learning and Bayesian Optimization were employed to optimize many design variables, such as temperature and pressure, while using the heat of reaction to reduce the power required for heating. As a result, they have developed a design approach that can efficiently search for promising conditions. The proposed design of the e-methanol production process and the new design approach received high acclaim, earning three awards as a result.
Award winner: SATO Takao (KANEKO DCE Laboratory, a fourth-year undergraduate student) and ISHIKAWA Eri (KANEKO DCE Laboratory, a second-year student on the master’s course)
Award name: Data Engineering Award (Hamari Chemicals, Ltd. Award), Process Optimization Award (Kureha Corporation Award), and Process Simulation Award (AVEVA Japan Award)
Conference name: 24th Process Design Student Contest of the Society of Chemical Engineers, Japan
Date: Thursday, September 18, 2025
Presentation title: Design of e-Methanol Production Process Using Machine Learning
Presenters: 〇SATO Takao, ISHIKAWA Eri
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Japanese version≫
