[School of Science and Technology] Meiji University team, represented by ISHIKAWA Eri received awards at the 22nd Process Design Student Contest of the Society of Chemical Engineers, Japan
Oct. 19, 2023
The Meiji University team, represented by ISHIKAWA Eri (KANEKO Hiromasa Laboratory), a 4th-year student in the Department of Applied Chemistry, School of Science and Technology, received the following three prizes at the 22nd Process Design Student Contest of the Society of Chemical Engineers, Japan held at Fukuoka University.
・Data Engineering Award (AVEVA Award)
・Data Engineering Award (Chiyoda Corporation Award)
・Process Composition Award (NIPPON STEEL Chemical & Material Award)
Ethylbenzene is used as a raw material for plastics, and its business is now growing into a large market. A liquid-phase ethylbenzene production process using a zeolite catalyst has been in operation for a few years, but the energy load of the distillation separation process, such as the benzene column, is high, consuming a large amount of fuel. To solve this problem, for an energy-saving design of the liquid-phase ethylbenzene manufacturing process, they efficiently designed the process by using the plant simulator and the artificial intelligence that the students developed by themselves. The design of the proposed ethylbenzene production process and the new design approach received high acclaim, earning three awards as a result.
Recipients: ISHIKAWA Eri (KANEKO Hiromasa Laboratory, 4th-year undergraduate) and TAKAOKA Sho (KANEKO Hiromasa Laboratory, 1st year in the master’s course)
Data Engineering Award (AVEVA Award), Data Engineering Award (Chiyoda Corporation Award), Process Composition Award (NIPPON STEEL Chemical & Material Award)
Society name: The 22nd Process Design Student Contest of the Society of Chemical Engineers, Japan
Date: Wednesday, September 13, 2023
Title: Design of Ethylbenzene Manufacturing Process Using Machine Learning
Presenters: 〇ISHIKAWA Eri, TAKAOKA Sho
≪Japanese version≫
・Data Engineering Award (AVEVA Award)
・Data Engineering Award (Chiyoda Corporation Award)
・Process Composition Award (NIPPON STEEL Chemical & Material Award)
Ethylbenzene is used as a raw material for plastics, and its business is now growing into a large market. A liquid-phase ethylbenzene production process using a zeolite catalyst has been in operation for a few years, but the energy load of the distillation separation process, such as the benzene column, is high, consuming a large amount of fuel. To solve this problem, for an energy-saving design of the liquid-phase ethylbenzene manufacturing process, they efficiently designed the process by using the plant simulator and the artificial intelligence that the students developed by themselves. The design of the proposed ethylbenzene production process and the new design approach received high acclaim, earning three awards as a result.
Recipients: ISHIKAWA Eri (KANEKO Hiromasa Laboratory, 4th-year undergraduate) and TAKAOKA Sho (KANEKO Hiromasa Laboratory, 1st year in the master’s course)
Data Engineering Award (AVEVA Award), Data Engineering Award (Chiyoda Corporation Award), Process Composition Award (NIPPON STEEL Chemical & Material Award)
Society name: The 22nd Process Design Student Contest of the Society of Chemical Engineers, Japan
Date: Wednesday, September 13, 2023
Title: Design of Ethylbenzene Manufacturing Process Using Machine Learning
Presenters: 〇ISHIKAWA Eri, TAKAOKA Sho
≪Japanese version≫
Related links