Integrated Life Cycle Assessment and Techno-Economic Analysis Platform for Sustainable Chemical Process Design

Authors

  • Sarah Ratzel Science Editor, American Journal of Human Genetics (AJHG), USA Author
  • Sara B. Cullinan Deputy Editor, American Journal of Human Genetics (AJHG), USA Author

Keywords:

Life Cycle Assessment, Techno-Economic Analysis, Sustainable Chemical Process Design, Process Optimization, Environmental Impact Assessment, Industrial Sustainability

Abstract

The growing emphasis on sustainable industrial development has increased the need for comprehensive evaluation frameworks that simultaneously address environmental and economic performance in chemical process engineering. This study presents an integrated life cycle assessment (LCA) and techno-economic analysis (TEA) platform for sustainable chemical process design and optimization. The proposed framework combines environmental impact assessment, process simulation, economic evaluation, and resource efficiency analysis to support data-driven decision-making during process development and industrial implementation. The integrated platform evaluates key sustainability indicators, including energy consumption, greenhouse gas emissions, water usage, raw material utilization, operating costs, capital investment, and waste generation across the entire process lifecycle. Advanced modeling techniques and process simulation tools were employed to analyze alternative process configurations and identify optimal operating conditions for sustainable production systems. The framework also incorporates sensitivity analysis and uncertainty assessment to evaluate the influence of process variables, market fluctuations, and environmental constraints on overall system performance. Comparative analysis demonstrated that integrating LCA with techno-economic evaluation significantly improves the identification of environmentally and economically viable process alternatives compared to conventional standalone assessment approaches. The platform enabled enhanced process optimization through balanced consideration of profitability, environmental sustainability, and resource efficiency. Furthermore, the integration of digital analytics and decision-support tools facilitated real-time evaluation of process modifications and long-term sustainability planning.

Published

2025-05-02