@inbook{02cd062e96654046bc9458481eba35d6,
title = "Utilisation of Carbon Dioxide and Gasified Biomass for the Generation of Value Added Products",
abstract = "Renewable fuels generation and the elimination of fossil-fuel reliance are an important part of sustainable growth. As petrochemicals are a key economic cornerstone of contemporary society, an impetus exists to find potential supply routes so as to maintain scarce resources. In addition, waste utilisation to manufacture value-added products is essential to mitigate emissions of greenhouse gases. Biomass, which is a neutral CO2 fuel, acts as a possible basis for the generation of energy and fuels. In addition, biomass gasification creates a syngas rich in hydrogen that can be used in the petrochemical industry for the production of value-added materials such as ammonia and methanol. Based on the existing developed biomass-treating infrastructure, incorporating large-scale biomass value-added products into the existing petrochemical generating network can give significant benefits. In addition, there is high possibility to utilise other undesired by-products such as CO2 which exists within the same infrastructure network. In this research, Aspen Plus model is built based on the oxygen/steam gasification configuration for the production of H2-rich syngas by different feedstock available in the State of Qatar. The resulting syngas is used with an external combined CO2 source in the processing of methanol and urea. The results showed that the addition of the external CO2 source to the biomass gasification system could save around 3% of the emitted stream and increase the production of methanol and urea by around 4% and 10%, respectively. Moreover, the economics of the integrated system are optimised to maximise the utilisation of CO2 and minimise the capital and operating costs along with net environmental emissions.",
keywords = "Biomass Gasification, CO Utilisation, Economic Assessment, Optimisation",
author = "Ahmed AlNouss and Gordon Mckay and Tareq Al-Ansari",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2021",
month = jan,
doi = "10.1016/B978-0-323-88506-5.50242-4",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "1567--1572",
booktitle = "Computer Aided Chemical Engineering",
address = "Netherlands",
}