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A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si76.svg" display="inline" id="d1e1293"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>

Abdul Samad, Husnain Saghir, Abdul Musawwir, Iftikhar Ahmad, Hakan Çalışkan

2024Applied Thermal Engineering28 citationsDOI

Topics & Concepts

MinificationYield (engineering)MethanolExergyComputer scienceMathematicsMathematical optimizationAlgorithmMaterials scienceEngineeringProcess engineeringChemistryOrganic chemistryComposite materialCatalysts for Methane ReformingProcess Optimization and IntegrationCarbon Dioxide Capture Technologies
A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si76.svg" display="inline" id="d1e1293"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> | Litcius