@inbook{f9ccc05846b14716b799321bd754ad68,
title = "Techno-economic-environmental assessment for optimal utilisation of CO2 in the Fischer-Tropsch gas-to-liquid process",
abstract = "Considering the un-declining emissions of CO2, which is a major contributor to global warming, carbon capture and utilisation (CCU) has been promoted as a potential CO2 reduction pathway, generating economic benefits and reduced environmental burdens. The integration of CCU with power plants and chemical industries drives the potential of adapting a CO2 capture and utilisation scheme. Chemical synthesis such as gas-to-liquids (GTL) process using the Fischer-Tropsch technology is a promising pathway in this configuration. The objective of this study is to assess the techno-economic-environmental viability of maximising the production of wax, diesel, gasoline and LPG in an FT-GTL plant, while optimizing the utlisation of different variables such as steam, oxygen, CO2, and the syngas recycle to purge ratio. The effect of reforming techniques and syngas recycle ratio on the production capacity are analysed upon supplementing the process with additional CO2 at a range of 1000-2000 t/d. The methodology is based on the maximum production of syngas in the reforming units, which include steam-based methane reforming (SMR) and oxygen/steam-based auto-thermal reforming (ATR). Aspen HYSYS is used to model the GTL production flowsheets. The results demonstrate a significant improvement in the total refined products capacity for all scenarios based on variable function of raw material flow rate of CO2, steam, oxygen and split ratio of syngas to the purge. The sensitivity analyses demonstrate the feasibility of the ATR and SMR options to provide significant enhancement when integrated with CO2. The total refined product of hydrocarbons increase significantly when the decision variables are optimized.",
keywords = "ATR, CAPEX, CO Utilisation, GTL, OPEX, Optimisation, SMR",
author = "Al-Yaeeshi, {Ali Attiq} and Ahmed AlNouss and Tareq Al-Ansari",
note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",
year = "2022",
month = jan,
doi = "10.1016/B978-0-323-85159-6.50023-3",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "139--144",
booktitle = "Computer Aided Chemical Engineering",
address = "Netherlands",
}