Big Data and Analytics for Sustainability | AIChE

Other Sites & Tools

Technical Groups

Big Data and Analytics for Sustainability

Chair(s)

Shi, R., The Pennsylvania State University

Co-chair(s)

Charitopoulos, V., University College London
Smith, R., US Environmental Protection Agency

This session focuses on big data and machine learning approaches for understanding sustainability.

Presentations

3:30 PM
(125a) Dynamic Analysis for Piston-Type Work Exchanger and Network Design for Mechanical Energy Recovery
3:55 PM
(125b) Using Public Data for Predicting Industrial Chemical Pollution Source Reduction and Prevention Alternatives
4:20 PM
(125c) Dynamic Sustainability Assessment in the Digital Age
4:45 PM
(125d) Modeling-Based and Data-Driven Frameworks to Promote Water Sustainability in Chemical Manufacturing Plants at Dow
5:10 PM
(125e) Water Stress-Based Price for Global Sustainability: A Study Using Generalized Global Sustainability Model (GGSM)
5:35 PM
(125f) Sustainability and SustainizabilityTM over Sets for a Multi-Species Population Model

Topics 

Computing and Systems Engineering
Sustainability Metrics for Energy Systems
Sustainable Engineering

Checkout

Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

Checkout

Do you already own this?

Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

More Conference Links