Innovative computational tools and models for the design, optimization and control of carbon capture processes-Reference-Cited by-同舟云学术

Innovative computational tools and models for the design, optimization and control of carbon capture processes

Published:2016 Issue: Volume: Page:2391-2396
ISSN:1570-7946
Container-title:Computer Aided Chemical Engineering
language:
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Author:

Miller David C.,Agarwal Deb,Bhattacharyya Debangsu,Boverhof Joshua,Cheah You-Wei,Chen Yang,Eslick John,Leek Jim,Ma Jinliang,Mahapatra Priyadarshi,Ng Brenda,Sahinidis Nikolaos V.,Tong Charles,Zitney Stephen E.

Publisher

Elsevier

Reference18 articles.

1. Simultaneous process optimization and heat integration based on rigorous process simulations;Chen;Computers & Chemical Engineering,2015

2. Learning Surrogate Models for Simulation-Based Optimization;Cozad;AIChE Journal,2014

3. A combined first principles and data-driven approach to model building;Cozad;Computers and Chemical Engineering,2015

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