Numerical simulation and optimization of CO2-enhanced water recovery by employing a genetic algorithm-Reference-Cited by-同舟云学术

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Numerical simulation and optimization of CO2-enhanced water recovery by employing a genetic algorithm

Published:2016-10 Issue: Volume:133 Page:994-1007
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Liu Danqing,Agarwal Ramesh,Li Yilian

Funder

Research Fund for the Doctoral Program of Higher Education

National Natural Science Foundation of China

Scientific Research Fund of Public Welfare Profession of the Ministry of Land and Resources of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference36 articles.

1. Use of simulated annealing in standardization and optimization of the acerola wine production;Almeida;Food Sci. Technol.,2014

2. Evaluation of potential changes in groundwater quality in response to CO2 leakage from deep geologic storage;Apps;Transp. Porous Media,2010

3. CO2 storage in geological media: role, means, status and barriers to deployment;Bachu;Prog. Energy Combust. Sci.,2008

4. Simultaneous CO2 injection and water production to optimise aquifer storage capacity;Bergmo;Int. J. Greenh. Gas Control,2011

5. Basin-scale hydrogeologic impacts of CO2 storage: capacity and regulatory implications;Birkholzer;Int. J. Greenh. Gas Control,2009

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