Optimum loss models for performance prediction of supercritical CO2 centrifugal compressor-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Optimum loss models for performance prediction of supercritical CO2 centrifugal compressor

Published:2021-02 Issue: Volume:184 Page:116255
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Cho Seong Kuk,Son Seongmin,Lee Jekyoung,Lee Si-Woo,Jeong Yongju,Oh Bong Seong,Lee Jeong Ik

Funder

Agency for Defense Development

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. Review of Supercritical CO2 Power Cycle Technology and Current Status of Research and Development;Ahn;Nuclear Eng. Technology,2015

2. Preliminary design assessment of supercritical CO2 cycle for commercial scale coal-fired power plants;Li;Appl. Thermal Eng.,2019

3. The development technology and applications of supercritical CO2 power cycle in nuclear energy, solar energy and other energy industries;Li;Applied Thermal Engineering,2017

4. P. Kumar, K. Srinivasan, 2016, Carbon dioxide based power generation in renewable energy systems, Applied Thermal Engineering, Vol. 109, Part B, pp. 831-840.

5. Thermodynamic and economic investigation of coal-fired power plant combined with various supercritical CO2 Brayton power cycle;Park;Appl. Thermal Eng.,2018

Cited by 24 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. Application of the passive turbocharger to PRHRS in integral PWR type SMR with an sCO2 power cycle;Annals of Nuclear Energy;2025-01

2. An analytical approach for designing sCO2 centrifugal compressors using the loss-integrated throughflow method;Applied Thermal Engineering;2024-11

3. Influence of Real Gas Properties on Aerodynamic Losses in a Supercritical CO2 Centrifugal Compressor;Journal of Thermal Science;2024-08-13

4. Research on compression process and compressors in supercritical carbon dioxide power cycle systems: A review;Energy;2024-06

5. An axisymmetric characteristic model for enhancing prediction of centrifugal compressor characteristics;Chinese Journal of Aeronautics;2024-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3