Theoretical systematization for high-pressure thermodynamic data and predictive separation simulation with entropy-based solubility parameter

2019 Fiscal Year Final Research Report

• Project/Area Number: 17K06884
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Properties in chemical engineering process/Transfer operation/Unit operation
• Research Institution: Tohoku University
• Principal Investigator: Ota Masaki 東北大学, 環境科学研究科, 准教授 (50455804)
• Co-Investigator(Kenkyū-buntansha): 小野 巧 東北大学, 工学研究科, 学術研究員 (20637243)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Keywords: 超臨界流体 / 二酸化炭素 / 亜臨界流体 / 溶解度パラメータ / 熱力学 / 化学工学 / モデル / 理論

Outline of Final Research Achievements

In this work, an original entropy-based solubility Parameter (eSP) was developped for high-pressure extraction and separation processes with supercritical carbon dioxide. As a result, predictive Dimensionless Solubility (pDS) model was also originally developped for solid-solute solubility estimation in supercritical carbon dioxide. Counter-current extractions was modeled with a originally-developped equilibrium stage model based on the high-pressure vapor-liquid equilibrium data. We succeeded in theoretical and quantitative analyses for extraction and separation processes with supercritical carbon dioxide.

Free Research Field

化学工学

Academic Significance and Societal Importance of the Research Achievements

超臨界・亜臨界流体など高圧状態でも定量化できるエントロピー型溶解度パラメータ（eSP）は，抽出分離実験の理論予測に役立てることができる．また，開発した向流接触型亜臨界溶媒分離装置は，スケールアップも可能であり，今後の社会実装に期待される．なお，これらの業績が評価され，平成30年度には，文部科学大臣表彰（若手科学者賞）を受賞することができた．