(214c) Enhancing Regulatory Compliance: Assessing Hazardous Waste Standards with Low-Code Tools
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Nuclear Engineering Division
Graduate Student and Early Career Investigations - Session II
Monday, October 28, 2024 - 4:35pm to 4:55pm
As waste is sampled and studied, classifications may evolve, necessitating periodic reviews. The most recent review involves analyzing over 2 million rows of sampling data and more than 50 report files (average page count: 133, average file size: 4.4 MB). To automate parts of this review, Data Scientists and Chemical Engineers at Pacific Northwest National Laboratory (PNNL) are exploring Tableau and Microsoft Power Platform products. Tableau facilitates data cleaning and visualization of sampling data to compare with regulatory standards. Meanwhile, the Power Platform extracts metadata (e.g., author, publish date) and content details (e.g., keywords) from reports to establish a structured document architecture. This architecture addresses gaps in sampling knowledge and offers historical context for waste code designations. This paper explores how incorporating these low-code tools can enhance efficiency and usability, providing comprehensive insights to support informed decision-making in waste management strategies.