Investigation of off-design performance of supercritical carbon dioxide recompression cycle using a deep learning-based turbine with variable inlet guide vanes-Reference-Cited by-同舟云学术

Investigation of off-design performance of supercritical carbon dioxide recompression cycle using a deep learning-based turbine with variable inlet guide vanes

Published:2023-06 Issue: Volume:286 Page:117068
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Du Yadong,Yang Ce,Zhao Ben^ORCID,Wang Haimei,Zhang Hanzhi^ORCID,He Xinyu,Hu Chenxing,Li Yanzhao

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference60 articles.

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3. Dynamic modeling and control of a solar-powered Brayton cycle using supercritical CO2 and optimization of its thermal energy storage;Delsoto;Renew Energy,2023

4. Comparative thermoeconomic analysis of geothermal energy recovery via super/transcritical CO2 and subcritical organic Rankine cycles;Habibollahzade;Energ Conver Manage,2022

5. A novel extension of the SYNTHSEP methodology for the optimal synthesis and design of supercritical CO2 cycles in waste heat recovery applications;Dal Cin;Energ Conver Manage,2023

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