Experimental investigation and machine learning optimization of a small-scale organic Rankine cycle-Reference-Cited by-同舟云学术

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Experimental investigation and machine learning optimization of a small-scale organic Rankine cycle

Published:2023-04 Issue: Volume:224 Page:120120
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Feng Yong-qiang,Xu Kang-jing,Zhang Qiang,Hung Tzu-Chen,He Zhi-xia,Xi Huan,Rasheed Nabeel

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Fluid Flow and Transfer Processes,Mechanical Engineering

Reference42 articles.

1. Optimal design of radial inflow turbine for ocean thermal energy conversion based on the installation angle of nozzle blade;Chen;Renew. Energy,2022

2. Technical and economic assessment of ORC and cogeneration including a combined variant - A case study for the Polish automotive fastener industry company;Broniszewski;Energy,2022

3. Low global warming potential (GWP) working fluids (WFs) for Organic Rankine Cycle (ORC) applications;Bahrami;Energy Rep.,2022

4. Optimization of an axial turbine for a small scale ORC waste heat recovery system;Witanowski;Energy,2020

5. A comparative study and sensitivity analysis of different ORC configurations for waste heat recovery;Zhar;Case Stud. Thermal Eng.,2021

Cited by 6 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. Enhancing thermodynamic performance with an advanced combined power and refrigeration cycle with dual LNG cold energy utilization;Heliyon;2024-08

2. Experimental study on dynamic power generation of three ORC-based cycle configurations under different heat source/sink conditions;Renewable Energy;2024-06

3. Experimental investigation and ANN analysis of a four-intersecting-vane rotary expander in a micro-scale organic Rankine cycle system;Applied Thermal Engineering;2024-04

4. Performance prediction of gas turbine blade with multi-source random factors using active learning-based neural network;Applied Thermal Engineering;2024-04

5. Performance Prediction and Optimization of Single-Piston Free Piston Expander-Linear Generator Based on Machine Learning and Genetic Algorithm;International Journal of Energy Research;2024-03-08

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