Hybrid monitoring of a heat transfer process

• Project/Area Number: 15K06552
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Reaction engineering/Process system
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Yamashita Yoshiyuki 東京農工大学, 工学(系)研究科(研究院), 教授 (60200698)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000); Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000); Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: Process Monitoring / Fouling / Heat Exchanger / heat exchanger / heat transfer / reboiler / fouling / hybrid modeling / process simulation / outlier

Outline of Final Research Achievements

Fouling is the deposition of undesired material on heat transfer surface.
It significantly decreases the thermal performance of heat exchangers. In this work, a novel method to detect fouling in a heat exchanger is developed. The method combines physical model and data-driven model for the estimation of the heat transfer mechanism. Overall heat transfer coefficient and the heat flux are modeled by physical models. A methodology to estimate the fouling resistance is presented.
The method was successfully applied to a simulation data sets and industry data sets.

Research Products

• [Journal Article] Fuzzy Treatment Method for Outlier Detection in Process Data (2016)
  • Author(s): Harakhun Tanatavikorn and Yoshiyuki Yamashita
  • Journal Title: JOURNAL OF CHEMICAL ENGINEERING OF JAPAN Volume: 49 Issue: 9 Pages: 864-873
  • DOI: 10.1252/jcej.16we042
  • NAID: 130005416153
  • ISSN: 0021-9592, 1881-1299
  • Peer Reviewed
• [Journal Article] Improving Data Reliability for Process Monitoring with Fuzzy Outlier Detection (2015)
  • Author(s): Harakhun Tanatavikorn, Yoshiyuki Yamashita
  • Journal Title: Computer Aided Process Engineering Volume: 37 Pages: 1595-1600
  • DOI: 10.1016/b978-0-444-63577-8.50111-x
  • Peer Reviewed
• [Presentation] Fouling Monitoring of a Thermosiphon Reboiler (2017)
  • Author(s): Y. Yamashita, S. Iwahashi, T. Kuwahara, K. Kawabata and Y. Yamane
  • Organizer: Heat Excahnger Fouling and Cleanig Conference
  • Int'l Joint Research
• [Presentation] Model-based Monitoring of Fouling in a Heat Exchanger (2017)
  • Author(s): Y. Yamashita
  • Organizer: International Symposium on Advanced Control of Industrial Processes (AdCONIP)
  • Int'l Joint Research / Invited
• [Presentation] Which Approach is better for Process Monitoring: Data-based or Model-based? (2016)
  • Author(s): Yoshiyuki Yamashita
  • Organizer: 9th Regional Conference on Chemical Engineering
  • Place of Presentation: Kuala Lumpur, Malaysia
  • Year and Date: 2016-11-21
  • Int'l Joint Research / Invited
• [Presentation] プロセス時系列のデータ解析 (2016)
  • Author(s): 山下善之
  • Organizer: 平成28年度第1回ダイナミックプロセス応用分科会研究討論会
  • Place of Presentation: 山水館欣龍（静岡県浜松市西区）
  • Year and Date: 2016-11-18
  • Invited
• [Presentation] Improving Data Reliability for Process Monitoring with Fuzzy Outlier Detection (2015)
  • Author(s): Harakhun Tanatavikorn, Yoshiyuki Yamashita
  • Organizer: 12th International Symposium on Process Systems Engineering
  • Place of Presentation: Copenhagen, Denmark
  • Year and Date: 2015-05-31
  • Int'l Joint Research
• [Remarks] 研究室ホームページ
  • URL: http://web.tuat.ac.jp/~pselab/index-j.html