Machine learning-based modelling using ANN for performance prediction of a solar air heater design with jet impingement
Author:
Funder
National Institute of Technology, Silchar
Publisher
Elsevier BV
Subject
Fluid Flow and Transfer Processes
Reference46 articles.
1. Effect of the absorber surface roughness on the performance of a solar air collector: An experimental investigation;Das;Renew. Energy,2020
2. Performance analysis of solar air collector in the climatic condition of North Eastern India;Debnath;Energy,2018
3. Jet impingement heat transfer: Physics, correlations, and numerical modeling;Zuckerman;Elsevier Masson SAS,2006
4. Optimization of parameters in solar thermal collector provided with impinging air jets based upon preference selection index method;Chauhan;Renew. Energy,2016
5. Experimental investigation and optimization of impinging jet solar thermal collector by Taguchi method;Chauhan;Appl. Therm. Eng.,2017
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. Predicting thermal performance in solar air heaters with V-corrugated, shot-blasted absorber plate, and black pebble-based sensible heat storage: A machine learning approach;Journal of Energy Storage;2024-10
2. Thermo-fluid performance for helical coils inserted in a tube using hybrid CFD-ANN approach;Thermal Science and Engineering Progress;2024-06
3. Prediction of jet impingement solar thermal air collector thermohydraulic performance using soft computing techniques;Case Studies in Thermal Engineering;2024-03
4. Experimental investigation and artificial neural network-based modelling of thermal barrier engine performance and exhaust emissions for methanol-gasoline blends;Energy;2024-03
5. Optimizing the UV-Fenton Degradation of m-Cresol Wastewater: An Experimental and Artificial Intelligence Modeling Approach;Industrial & Engineering Chemistry Research;2024-01-06
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