Big Data Analytics for Emission Monitoring and Operational Excellence
- Type: Conference Presentation
- Conference Type: AIChE Spring Meeting and Global Congress on Process Safety
- Presentation Date: August 19, 2020
- Duration: 20 minutes
- Skill Level: Intermediate
- PDHs: 0.40
Big data analytics technologies can organize the massive amount of data accumulated throughout years of operation, discover the relationship among variables and Identify the key elements. Explainable AI algorithms can then be developed for significantly improved performance on yield and productivity and prediction of emissions.
Using big data analytics technologies, the process industry can utilize process data and emission data seamlessly to reduce emissions, minimize potential risks and achieve operational excellence. In this presentation, case studies on the production of ethylene derivatives and predictive flaring will be presented to demonstrate the efficacy of technology.
Big Data Analytics, Process Improvement; Emission Monitoring; Predictive flaring; Operational Excellence
|AIChE Member Credits||0.5|
|AIChE Graduate Student Members||Free|
|AIChE Undergraduate Student Members||Free|
|Computing and Systems Technology Division Members||Free|