SUSTAINABLE CHEMICAL AND ENVIRONMENTAL ENGINEERING SOLUTIONS USING AI-BASED PROCESS OPTIMIZATION AND GREEN TECHNOLOGIES

Abstract

The increasing demand for sustainable industrial development has intensified the need for innovative solutions in chemical and environmental engineering. Artificial Intelligence (AI)-based process optimization and green technologies have emerged as powerful enablers for reducing environmental impact while maintaining industrial efficiency. AI techniques facilitate intelligent monitoring, predictive modeling, and real-time optimization of complex chemical and environmental processes, whereas green technologies emphasize resource efficiency, renewable inputs, and waste minimization. This review provides a comprehensive analysis of recent advancements in sustainable chemical and environmental engineering, focusing on AI-driven optimization frameworks and environmentally friendly technologies. Key methodologies, application areas, benefits, challenges, and future prospects are critically discussed, highlighting their role in advancing sustainability, regulatory compliance, and circular economy objectives.