Research progress of industrial application based on two-phase flow system of supercritical carbon dioxide and particles-Reference-Cited by-同舟云学术

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Research progress of industrial application based on two-phase flow system of supercritical carbon dioxide and particles

Published:2022-07 Issue: Volume:407 Page:117621
ISSN:0032-5910
Container-title:Powder Technology
language:en
Short-container-title:Powder Technology

Author:

Jiang Kun,Shi Jinwen,Zhao Qiuyang,Jin Hui

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

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

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference171 articles.

1. The technological and economic prospects for CO2 utilization and removal;Hepburn;Nature,2019

2. A review of different heat exchangers designs for increasing the diesel exhaust waste heat recovery;Hatami;Renew. Sust. Energ. Rev.,2014

3. Thermal management technology of power lithium-ion batteries based on the phase transition of materials: a review;Jiang;J. Energy Storage,2020

4. Thermal performance of battery thermal management system coupled with phase change material and thermoelectric elements;Liao;J. Energy Storage,2021

5. Global carbon budget 2020;Friedlingstein;Earth Syst. Sci. Data,2022

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1. Comparison of CO2 with H2O as the transport medium in a biomass supercritical water gasification system;Frontiers of Chemical Science and Engineering;2024-08-09

2. Numerical investigation of inserting conical ring into the micro-combustor with premixed hydrogen/air to enhance the heat transfer performance for the micro-thermophotovoltaic system;International Journal of Hydrogen Energy;2024-06

3. Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network;Energy;2024-05

4. Experimental investigation on battery thermal management with ultra-thin vapor chamber;Applied Thermal Engineering;2024-05

5. Recognition of supercritical CO2 liquid-like and gas-like molecules based on deep neural network;The Journal of Supercritical Fluids;2024-04

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