Techno-economic optimisation of carbon dioxide purification and allocation for industrial sinks: a two-stage simulation and optimisation framework

<p dir="ltr">Carbon capture, utilisation, and storage (CCUS) is recognised as an important pathway for reducing greenhouse gas emissions in hydrocarbon-producing regions such as Qatar. However, the high energy and cost requirements of CO<sub>2</sub> capture and purificati...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Razan Sawaly (19170910) (author)
مؤلفون آخرون: Ahmed AlNouss (9872265) (author), Ahmad S. Abushaikha (14151651) (author), Tareq Al-Ansari (9872268) (author)
منشور في: 2025
الموضوعات:
الوسوم: إضافة وسم
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الوصف
الملخص:<p dir="ltr">Carbon capture, utilisation, and storage (CCUS) is recognised as an important pathway for reducing greenhouse gas emissions in hydrocarbon-producing regions such as Qatar. However, the high energy and cost requirements of CO<sub>2</sub> capture and purification remain a barrier to large-scale deployment. This study hypothesises that integrating process simulation with optimisation can reduce costs by aligning purification levels with the specific requirements of multiple industrial sinks. A two-stage amine absorption system was simulated in Aspen HYSYS to generate CO<sub>2</sub> streams of different purities, and a regression-based cost model from 45 scenarios was embedded into a nonlinear optimisation framework implemented in GAMS. The optimisation identified an economically optimal strategy with a splitting ratio of 6.61 % and a recovery rate of 74.2 %, achieving a minimum system cost of 4.26 million USD/year. CO<sub>2</sub> purification costs ranged from 73.89 USD/ton at 91.2 % purity to 155.60 USD/ton at 99.9 % purity, demonstrating a nonlinear cost escalation with increasing purity. The results show that directing moderate-purity CO2 to GTL and methanol, and reserving ultra-pure CO<sub>2</sub> for urea and EOR, enhances overall profitability. This scalable framework provides a practical tool for strategic CCUS planning in Qatar and similar industrial contexts, linking technical performance with economic decision-making.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Energy Conversion and Management<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.encoman.2025.120559" target="_blank">https://dx.doi.org/10.1016/j.encoman.2025.120559</a></p>