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Multi-objective optimization methodology for process synthesis and intensification:Gasification-based biomass conversion into transportation fuels
- Source :
- Ibarra-Gonzalez, P, Rong, B G, Segovia-Hernández, J G & Sánchez-Ramírez, E 2021, ' Multi-objective optimization methodology for process synthesis and intensification : Gasification-based biomass conversion into transportation fuels ', Chemical Engineering and Processing-Process Intensification, vol. 162, 108327 . https://doi.org/10.1016/j.cep.2021.108327, Ibarra Gonzalez, P, Rong, B-G, Segovia-Hernandez, J G & Sánchez-Ramírez, E 2021, ' Multi-objective optimization methodology for process synthesis and intensification: Gasification-based biomass conversion into transportation fuels ', Chemical Engineering and Processing, vol. 162, 108327 . https://doi.org/10.1016/j.cep.2021.108327
- Publication Year :
- 2021
-
Abstract
- The transport sector increasing energy demand has encouraged the search for alternative technologies for biofuels production with lower manufacturing costs and higher process efficiency and environmental performance. Lignocellulosic biofuels are equivalents to petroleum products and can be adapted to meet the properties requirements of current engines. However, their major disadvantages are the high production costs and the lack of infrastructure. In this work, the focus is on the implementation of a multi-objective optimization methodology for synthesis of novel intensified biomass-to-liquid (BtL) technologies with lower environmental impact and costs, as well as higher process safety and efficiency. A novel optimization methodology is applied to two process configurations that were synthesized in a previous work [1], in which the evaluation of a BtL processing superstructure under different economic constraints and product profiles scenarios was performed. From the configurations, the two case studies with higher production of both gasoline and diesel were selected for this work. For the synthesis of intensified BtL technologies, the optimal separation units’ design parameters that meet the combination of economic, safety and environmental indexes, and two green chemistry metrics were selected. By applying the methodology, the optimal intensified process presents a higher return on investment of 22 (%/y) compared to 18 (%/y) for the base case flowsheet.
- Subjects :
- General Chemical Engineering
Energy Engineering and Power Technology
Biomass
02 engineering and technology
Multi-objective optimization
Industrial and Manufacturing Engineering
020401 chemical engineering
Return on investment
Production (economics)
0204 chemical engineering
Gasoline
Process engineering
business.industry
Process Chemistry and Technology
Process synthesis
Methodology
General Chemistry
021001 nanoscience & nanotechnology
Process safety
Biofuel
Process intensification
Multi-objective optimization and biofuels
Environmental science
Green chemistry metrics
0210 nano-technology
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Ibarra-Gonzalez, P, Rong, B G, Segovia-Hernández, J G & Sánchez-Ramírez, E 2021, ' Multi-objective optimization methodology for process synthesis and intensification : Gasification-based biomass conversion into transportation fuels ', Chemical Engineering and Processing-Process Intensification, vol. 162, 108327 . https://doi.org/10.1016/j.cep.2021.108327, Ibarra Gonzalez, P, Rong, B-G, Segovia-Hernandez, J G & Sánchez-Ramírez, E 2021, ' Multi-objective optimization methodology for process synthesis and intensification: Gasification-based biomass conversion into transportation fuels ', Chemical Engineering and Processing, vol. 162, 108327 . https://doi.org/10.1016/j.cep.2021.108327
- Accession number :
- edsair.doi.dedup.....0ec00c448651548b66c5f732e3e7c6a0