APPLICATION OF ARTIFICIAL INTELLIGENCE FOR MODELLING AND OPTIMIZATION OF CO2 ABSORPTION BY NAOH TO FORM Na2CO3

Eshkulov Bekzod; Sattorov Xurshid Golib ugli

doi:10.66073/ReFocus-Conf/474

ARTICLE 2025 Vol 1 · No 4 EN 76a84d3f6ae0

APPLICATION OF ARTIFICIAL INTELLIGENCE FOR MODELLING AND OPTIMIZATION OF CO2 ABSORPTION BY NAOH TO FORM Na2CO3

ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ МОДЕЛИРОВАНИЯ И ОПТИМИЗАЦИИ ПОГЛОЩЕНИЯ CO2 АТОМОМ НАНОГЛЕРОДА С ФОРМУЛИРОВАНИЕМ Na2CO3 | NaOH tomonidan Na2CO3 hosil qilish uchun CO2 absorbsiyasini modellashtirish va optimallashtirish uchun sun'iy intellektdan foydalanish

Eshkulov Bekzod 1st year master student, Karshi State Technical University
Sattorov Xurshid Golib ugli 1st year master student, Karshi State Technical University

Partner conferences of the International Scientific Journal Research Focus, 1(4), 687–692

Full text (PDF) 514 KB DOI Publisher page

Abstract

The growing need to reduce anthropogenic CO2 emissions has intensified research on carbon capture and utilization (CCU). Chemical absorption of CO2 in sodium hydroxide (NaOH) solutions forming sodium carbonate (Na₂CO₃) is a well-established method, yet traditional models often fail to describe the complex nonlinear effects of variables such as concentration, flow rate, and temperature. This study examines the use of artificial intelligence (AI) and machine learning (ML) for modeling and optimizing CO2–NaOH absorption. A conceptual ML framework is proposed, outlining key input parameters and algorithm selection. AI-driven modelling promises improved predictive accuracy, computational efficiency, and adaptive optimization, advancing digital transformation in chemical engineering

Keywords

CO2 absorption sodium hydroxide sodium carbonate artificial intelligence machine learning mass transfer process optimization chemical engineering innovation

How to cite

Eshkulov Bekzod; Sattorov Xurshid Golib ugli (2025). APPLICATION OF ARTIFICIAL INTELLIGENCE FOR MODELLING AND OPTIMIZATION OF CO2 ABSORPTION BY NAOH TO FORM Na2CO3. Partner conferences of the International Scientific Journal Research Focus, 1(4), 687–692. https://doi.org/10.66073/ReFocus-Conf/474

Identifier: https://rf-library.uz/article/76a84d3f6ae0/application-of-artificial-intelligence-for-modelling-and-optimization-of-co2
DOI: 10.66073/ReFocus-Conf/474
Publisher: LLC Ilm-fan va innovatsiyalar akademiyasi
Added to repository: 2026-08-07