2013 AIChE Annual Meeting

Session: Big Data Applications in Chemical Engineering

Chemical Engineering has entered the Big Data era in which large-scale data collection systems result in great opportunities for knowledge discovery. In this session, reports on real-life applications in this Big Data context are solicited for.

Chair

Bri-Mathias S. Hodge, National Renewable Energy Laboratory

Co-Chairs

Leaelaf M. Hailemariam, The Dow Chemical Company

Presentations

03:35 PM

(714b) Development of a Real-Time Monitoring System of Abnormal Fire Incidents Based On the Mining of National Fire, Disaster and Meteorological Data
Dongil Peter Shin, Kidon Joo, Hoon Kang, Sanghoon Ahn

03:55 PM

(714c) Comparison of Different Variable Selection Methods for PLS Soft Sensor Development
Zi Xiu Wang, Jin Wang, Q. Peter He

04:15 PM

(714d) Development of An Efficient Variable Selection Methodology for Calibration Model Design
Koichi Fujiwara, Manabu Kano

04:35 PM

(714e) Independent Component Analysis Mixture Model Based Dissimilarity Method for Performance Monitoring of Non-Gaussian Multimode Dynamic Processes
Jie Yu, Jingyan Chen

04:55 PM

(714f) Joint Probability and Correlation Analysis of Wind and Solar Power Forecast Errors in the Western Interconnection
Bri-Mathias S. Hodge, Anthony Florita, Jie Zhang

05:15 PM

(714g) The Open Symbiotic Data Repository: A Data-Driven Perspective for Industrial Symbiosis
Antonis Korkofigkas