COSMO-susCAMPD: Sustainable solvents from combining computer-aided molecular and process design with predictive life cycle assessment
Chemical Engineering Science(2021)
摘要
•Computer-aided design of solvents and processes with an environmental objective.•Predictive life cycle assessment for each solvent candidate from cradle-to-grave.•Cradle-to-gate impacts predicted by artificial neural network.•Gate-to-grave impacts from pinch-based process models.•Consistent molecular descriptors from quantum-chemistry-based COSMO-RS.
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关键词
Predictive thermodynamics,Artificial neural network,Pinch-based process models,Extraction-distillation,γ-valerolactone
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