(589n) Process Technology and Scale-up Evaluation Tool: Integrating AI for Enhanced Energy, Emission, and Economic Assessments of Chemical Technologies for Industry

After decades of creating new process flow diagrams and conceptual plant designs for scaling up the rapidly evolving chemical and refining process technologies, the ability to evaluate energy balances, environmental impact, and economic viability during scale-up is critical to a projects long term success. This presentation introduces a new evaluation tool that harnesses the power of integrated Artificial Intelligence (AI) to streamline and enhance these assessments. The tool is designed to conduct high level energy balance analyses (using fundamental thermodynamics and efficiency factors), providing insights into energy supply, consumption, and efficiency. Additionally, it approximates emission impacts, offering a clear understanding of the environmental footprint associated with scaling up processes.

What sets this tool apart is its capability to estimate economic outcomes based on AI data, ensuring that the financial feasibility of process technologies is examined. By leveraging AI, the tool continuously updates and refines its analyses, adapting to new data and market conditions to provide relevant information. This seamless integration of energy, emission, and economic evaluations empowers stakeholders to make informed decisions, optimizing both performance and sustainability.

This presentation will delve into the development and functionality of the evaluation tool, showcasing case studies that highlight its practical applications and benefits. Attendees will gain insights into how this innovative solution can revolutionize process technology scale-up, driving efficiencies and fostering sustainable practices across industries.