(354b) A Data Engineering Framework for Operationalizing the Alternative Assessment of Chemicals and Chemical Processes

The chemical industry created a strong foundation for many consumer, commercial, and
industrial products to directly improve the quality of life for society. In modern times, chemical
and chemical process design inherently has some form of sustainability principles instilled to
meet the primary goals of crucial stakeholders and product users. However, these processes are
rarely analyzed for sustainability from a multi-stakeholder perspective due to the variation of
sustainability assessment methods and the low availability and accessibility of usable data,
leading to unforeseen problems related to process efficiency, environment, energy, costs, health
impacts, and social needs. This research introduces a data engineering framework that extracts
and processes the abundance of relevant chemical data and parameters required for alternative
assessment (AA) to enhance and direct the sustainability of the overall chemical and chemical
process. This framework itemizes and categorizes the critical parameters required by the existing
sustainability assessment methods, then automates the multi-stakeholder AA data extraction and
conversion process. Using this data engineering framework, stakeholders in the chemical
industry can quickly acquire the necessary data to analyze the sustainability implications of
potential process investment and improvement opportunities, streamlining the decision-making
process.