Predicting self-diffusion coefficients of light gases in supercritical carbon dioxide: A molecular dynamics method

Author:

Zhang Tongjia,Zhang Bowei,Zhang Jie,Rong Xiaoran,Jin Hui

Funder

National Key Research and Development Program of China

Shaanxi Science and Technology Co-ordination and Innovation Project of China

Publisher

Elsevier BV

Reference55 articles.

1. CO2 Capture, Storage, and Environmental Sustainability: Plan, Policy, and Challenges (Eds.);Raj,2022

2. UNEP emissions gap report 2023. https://www.unep.org/resources/emissions-gap-report-2023, 2023 (accessed 20 Auguest 2024).

3. Supercritical carbon dioxide cycles for power generation: a review;Crespi;Appl. Energy,2017

4. Recovery of valuable compounds from orange processing wastes using supercritical carbon dioxide extraction;Argun;J. Clean. Prod.,2022

5. Dynamic modeling and model predictive control for printed-circuit heat exchanger in supercritical CO2 power cycle;Zhang;J. Clean. Prod.,2024

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