Multi-objective performance optimization & thermodynamic analysis of solar powered supercritical CO2 power cycles using machine learning methods & genetic algorithm-Reference-Cited by-同舟云学术

Multi-objective performance optimization & thermodynamic analysis of solar powered supercritical CO2 power cycles using machine learning methods & genetic algorithm

Published:2024-01 Issue: Volume:15 Page:100327
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Turja Asif Iqbal,Hasan Md Mahmudul^ORCID,Ehsan M. Monjurul^ORCID,Khan Yasin

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference46 articles.

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3. Performance analysis of solar driven combined recompression main compressor intercooling supercritical CO2 cycle and organic Rankine cycle using low GWP fluids;Khan;Energy Built Environ,2022

4. Seasonal variation on the performance of the dry cooled supercritical CO2 recompression cycle;Ehsan;Energy Convers Manag,2019

5. Analysis of advanced supercritical carbon dioxide power cycles with a bottoming cycle for concentrating solar power applications;Besarati;J Sol Energy Eng,2013

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1. Exergo-economic analyzes of a combined CPVT solar dish/Kalina Cycle/HDH desalination system; intelligent forecasting using artificial neural network (ANN) and improved particle swarm optimization (IPSO);Renewable Energy;2024-11

2. Performance Evaluation of Novel Advanced Recompression Absorption Refrigeration Systems Equipped with Ejector and Vapor Injection Technology;Thermal Science and Engineering Progress;2024-08

3. Thermal-economic performance evaluation and bi-objective optimization of organic Rankine cycles using pure and mixed working fluids for waste heat recovery;Case Studies in Thermal Engineering;2024-08

4. Optimal design of coolant jacket for cryogen transfer pipelines;The Canadian Journal of Chemical Engineering;2024-06-20

5. Advanced Cascaded Recompression Absorption System Equipped with Ejector and Vapor-Injection Enhanced Vapor Compression Refrigeration System: ANN based Multi-Objective Optimization;Thermal Science and Engineering Progress;2024-03