eprintid: 6829 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/68/29 datestamp: 2023-11-09 16:18:37 lastmod: 2023-11-09 16:18:37 status_changed: 2023-11-09 16:07:46 type: article metadata_visibility: show creators_name: Shetty, N. creators_name: Deshannavar, U.B. creators_name: Marappagounder, R. creators_name: Pendyala, R. title: Improved threshold fouling models for crude oils ispublished: pub keywords: Crude oil; Thermal effects, Arrhenius; Arrhenius expressions; Bulk temperatures; Film temperature; Fouling model; Heat exchanger fouling; Operating condition; Re-circulation flow, Fouling, crude oil; equipment; fouling; fuel cell; high pressure; high temperature; numerical model; temperature effect; threshold note: cited By 16 abstract: The existing threshold fouling models always predict an increase in initial fouling rates with an increase in bulk temperature which may not hold good for some crude oils. In this study, an improved threshold fouling model is proposed which uses an effective film temperature in the Arrhenius expression. Experiments were conducted in a high pressure, high temperature recirculation flow pilot-scale fouling test rig with three test crude oils with differing properties under the operating conditions of surface and bulk temperatures ranging from 243 to 334 °C and 82-180 °C, respectively, and velocities at 0.35 and 0.5 m/s. The proposed model has been shown to predict initial fouling rates very closely with the experimental data with R2 values above 0.98 for the three test crude oils used in this study. © 2016 Elsevier Ltd. date: 2016 publisher: Elsevier Ltd official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973338682&doi=10.1016%2fj.energy.2016.05.130&partnerID=40&md5=75163d9bc0963ed5bae8465a11061c29 id_number: 10.1016/j.energy.2016.05.130 full_text_status: none publication: Energy volume: 111 pagerange: 453-467 refereed: TRUE issn: 03605442 citation: Shetty, N. and Deshannavar, U.B. and Marappagounder, R. and Pendyala, R. (2016) Improved threshold fouling models for crude oils. Energy, 111. pp. 453-467. ISSN 03605442