Full text
![]() |
PDF
- Users in campus UPM only
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (357kB) |
Bolonio Martín, David and Ortega Romero, Marcelo Fabián and García Martínez, María Jesús and Rodríguez Fernández, José and Lapuerta, Magín and Canoira López, José Laureano (2018). Turpentine as a bio-based blending component for jet fuel: smoke point measurements. In: "CHISA 2018- PRESS 2018: 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction", 25-29 agosto 2018, Praga. pp. 73-78.
Title: | Turpentine as a bio-based blending component for jet fuel: smoke point measurements |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | CHISA 2018- PRESS 2018: 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction |
Event Dates: | 25-29 agosto 2018 |
Event Location: | Praga |
Title of Book: | PRESS 2018: 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction |
Date: | 2018 |
Subjects: | |
Faculty: | E.T.S.I. de Minas y Energía (UPM) |
Department: | Energía y Combustibles |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
![]() |
PDF
- Users in campus UPM only
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (357kB) |
Turpentine obtained by vacuum distillation of the resin of the common pine Pinus pinaster has been analyzed as blending component for jet fuel, and the smoke point results show that this waste product of the wood industry is unsuitable as biofuel. A process simulation scheme with Aspen V9 has been carried out to evaluate the feasibility of the industrial implementation of the whole process, including one second step of hydrogenation of the turpentine that it is thought would eliminate the smoke point problems. The process simulation converges smoothly, and the mass and energy balances and the preliminary equipment design predict the industrial feasibility of the whole process.
Item ID: | 54527 |
---|---|
DC Identifier: | https://oa.upm.es/54527/ |
OAI Identifier: | oai:oa.upm.es:54527 |
Official URL: | http://2018.chisa.cz/home |
Deposited by: | Memoria Investigacion |
Deposited on: | 09 Apr 2019 09:07 |
Last Modified: | 09 Apr 2019 09:07 |