Academic Journal

Design and Synthesis of a Novel Catalytic System Based on Pd Supported on Alumina Extrudates for Hydrotreating of PAO Lubricants

التفاصيل البيبلوغرافية
العنوان: Design and Synthesis of a Novel Catalytic System Based on Pd Supported on Alumina Extrudates for Hydrotreating of PAO Lubricants
المؤلفون: Karimi, Mahsa, Sadjadi, Samahe, Arabi, Hassan, Bahri-Laleh, Naeimeh, Poater Teixidor, Albert
المساهمون: Agencia Estatal de Investigación
المصدر: Applied Organometallic Chemistry, 2024, vol. 38, núm. 12, p. e7730 ; Articles publicats (D-Q)
بيانات النشر: Wiley
سنة النشر: 2024
المجموعة: Universitat de Girona: DUGiDocs (UdG Digital Repository)
مصطلحات موضوعية: Catalitzadors, Catalysts, Hidrogenació, Hydrogenation
الوصف: The development of hydrogenation processes for polyalphaolefin (PAO) lubricants, which hold commercialization potential, is a challenging endeavor. Here, we synthesized and characterized rod-shaped γ-alumina supported Pd catalyst for PAO hydrofinishing, comparing it with γ-alumina supported Ni catalyst. Results indicated that Pd/Al2O3 catalyst efficiently promoted PAO hydrofinishing, whereas Ni-based catalyst exhibited lower activity. Optimization of reaction variables using the one-factor-at-a-time method revealed that hydrogenated polyalphaolefin could be achieved with a 90% yield using a 5 wt.% catalyst, a hydrogen pressure of 12 bar, at 130°C after 7 h. The superior performance of the fabricated catalysts, coupled with the use of rod-shaped alumina suitable for large-scale hydrogenation reactors, suggests the versatility of the process for potential commercialization. Additionally, the higher performance of Pd/alumina compared to Ni/alumina catalyst was computationally assessed at the molecular level using DFT methods ; Finançament: AP és Beca Serra Húnter i va comptar amb el suport de la Institució Catalana de Recerca i Estudis Avançats (ICREA) Premi Acadèmia 2019 i agraeix al Ministeri de Ciència, Innovació i Universidades (MINECO) espanyol pel projecte PID2021-127423NB-I00 i la Generalitat. de Catalunya per al projecte 2021SGR623. El temps de càlcul al superordinador MARENOSTRUM (QHS-2022-3-0029) ha estat proporcionat pel Barcelona Supercomputing Center a través d'una beca de Red Española de Supercomputación ; Open Access funding provided thanks to the CRUE-CSIC agreement with Wiley
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/issn/0268-2605; info:eu-repo/semantics/altIdentifier/eissn/1099-0739; PID2021-127423NB-I00; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127423NB-I00/ES/CATALISIS PREDICTIVA PARA CAMBIAR EL ODEN SECUENCIAL ENTRE EXPERIMENTOS I CALCULOS/; http://hdl.handle.net/10256/25305
الاتاحة: http://hdl.handle.net/10256/25305
Rights: Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.56BC0B22
قاعدة البيانات: BASE