Abdessamad Gueddari is a PhD candidate and research worker leading a pioneering business R&D project. His doctoral research investigates sciences and technologies applied to industrial engineering at the University of Castilla-La Mancha. Specifically, he is researching new engineering techniques and strategies to capture and transform carbon dioxide into value-add products. He earned a Bachelor of mechanical engineering, and a Master of industrial engineering. He belongs to the 3D Enermat Research Group at the Renewable Energy Research Institute. He is interested in improving the industry footprint by developing new sustainable processes and implementing new methodologies related to carbon dioxide utilization strategies.
Abstract
A novel Carbon dioxide utilization approach is proposed based on the use of the emitted by-product biogenic CO2 from alcoholic fermentation processes to produce soda ash. This product is one of the most demanded commodities in the chemical industry. In global terms, researchers report that the implementation of this strategy will produce over 30, 6 Mt of Na2CO3 by capturing 12, 7 Mt of CO2 and 56 Mt of CO2 negative emissions per year, without generating any by-products. The chemical process selected to achieve this utilization is based on a chemical reaction between gaseous CO2 and saturated sodium hydroxide solution (NaOH 50% wt.). The feasibility of this approach was discussed following the CO2 Chem network approach. In order to evaluate the possibility of implementing the CO2-AFP Strategy, it has been analyzed from a technical and environmental perspectives applied to a real business model. On one hand, the technical feasibility study is divided into three different phases: (1) Characterization of the CO2 emissions, (2) CO2 capture and design of the distribution system and (3) the chemical processing plant. On the other hand, the environmental feasibility is analyzed on determining the footprint scope 1 and 2. Finally, global projection results are obtained based on techno-environmental feasibility performance.