Performance response to operating-load fluctuations for Sub-megawatt-scale recuperated supercritical CO2 Brayton cycles: Characteristics and improvement-Reference-Cited by-同舟云学术

Performance response to operating-load fluctuations for Sub-megawatt-scale recuperated supercritical CO2 Brayton cycles: Characteristics and improvement

Published:2023-04 Issue: Volume:206 Page:686-693
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zhao Bingtao^ORCID,Yao Jiacheng,Su Yaxin^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference43 articles.

1. Optimization of a commercial aircraft environmental control system;Pé rez;Appl. Therm. Eng.,2002

2. Design assessment of a 5 MW fossil-fired supercritical CO2 power cycle pilot loop;Li;Energy,2019

3. Dynamic characteristics and control strategies of the supercritical CO2 Brayton cycle tailored for the new generation concentrating solar power;Zhang;Appl. Energy,2022

4. A review on integrated design and off-design operation of solar power tower system with S–CO2 Brayton cycle;Zhang;Energy,2022

5. A concept of a supercritical CO2 Brayton and organic Rankine combined cycle for solar energy utilization with typical geothermal as auxiliary heat source: thermodynamic analysis and optimization;Cao;Energy Rep.,2022

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