AspenTech’s white paper shows how digital twins help chemical producers balance sustainability, profitability, and operational excellence. By integrating real-time plant data with advanced simulations, companies can optimize energy use, cut emissions, and support circular economy goals. Case studies from SABIC, BPCL, BASF, Hanwha, Nissan Chemical, and FP Corporation highlight gains like 60,000-ton CO₂ cuts, 29% waste reduction, and multi-million-dollar savings. Hybrid AI–first principles models improve accuracy and speed, enabling site-wide optimization. Digital twins accelerate sustainable innovation, enhance decision-making, and position chemical firms for long-term competitiveness.

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