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:2017-03-10 Issue: Volume: Page:311-342
ISSN:
Container-title:Process Systems and Materials for CO2Capture
language:
Short-container-title:

Author:

Miller David C.¹,Agarwal Deb²,Bhattacharyya Debangsu³,Boverhof Joshua²,Chen Yang¹,Eslick John³,Leek Jim⁴,Ma Jinliang⁵,Mahapatra Priyadarshi⁵,Ng Brenda⁴,Sahinidis Nikolaos V.⁶,Tong Charles⁴,Zitney Stephen E.³⁵

Affiliation:

1. National Energy Technology Laboratory; Pittsburgh PA USA

2. Lawrence Berkeley National Laboratory; CA USA

3. West Virginia University; Morgantown WV USA

4. Lawrence Livermore National Laboratory; CA USA

5. National Energy Technology Laboratory; Morgantown WV USA

6. Carnegie Mellon University; Pittsburgh PA USA

Publisher

John Wiley & Sons, Ltd

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/9781119106418.ch12/fullpdf

Reference65 articles.

1. Jenkins J. Mansur S. 2011 Bridging the clean energy valleys of death http://thebreakthrough.org/archive/bridging_the_clean_energy_vall

2. Amazon 2015 Amazon Web Services http://aws.amazon.com/

3. Carbon Capture and Storage: How Green Can Black Be?;Haszeldine;Science,2009

4. Carbon capture simulation initiative: A case study in multiscale modeling and new challenges;Miller;Chemical and Biomolecular Engineering,2014

5. A one-dimensional (1-D) three-region model for a bubbling fluidized-bed adsorber;Lee;Industrial & Engineering Chemistry Research,2012

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a chemistry-based isotherm model and techno-economic optimization of a moving bed process for CO2 capture using a functionalized metal-organic framework;Chemical Engineering Science;2024-04

2. Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities;Science of The Total Environment;2024-03

3. Modeling Tools for Evaluating Materials in CO2 Capture;Advances in Chemical and Materials Engineering;2024-03-01

4. Modeling and Bayesian Uncertainty Quantification of a Membrane-Assisted Chilled Ammonia Process for CO₂ Capture;Industrial & Engineering Chemistry Research;2022-03-10