Waste heat recovery system for marine engines optimized through a preference learning rank function embedded into a Bayesian optimizer
Author:
Funder
Ministerio de Ciencia e Innovación
Spain Ministry of Science and Innovation
Publisher
Elsevier BV
Subject
Ocean Engineering,Environmental Engineering
Reference64 articles.
1. Instruction Manual for Freshwater Generator Type D-PU-36-C100,2006
2. How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM);Bahamonde;Trends Food Sci. Technol.,2007
3. Design of organic Rankine cycle power systems for maritime applications accounting for engine backpressure effects;Baldasso;Appl. Therm. Eng.,2020
4. Comparison of different procedures for the optimisation of a combined Diesel engine and organic Rankine cycle system based on ship operational profile;Baldi;Ocean. Eng.,2015
5. Pure and pseudo-pure fluid thermophysical property evaluation and the open-source thermophysical property library CoolProp;Bell;Ind. Eng. Chem. Res.,2014
Cited by 12 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. Flexibility improvement of a coal-fired power plant by the integration of biogas utilization and molten salt thermal storage;Energy;2024-09
2. Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine;Ocean Engineering;2024-08
3. Methodological Solutions for Predicting Energy Efficiency of Organic Rankine Cycle Waste Heat Recovery Systems Considering Technological Constraints;Journal of Marine Science and Engineering;2024-08-01
4. Parametric study and techno-economic analysis of a novel integration between thermoelectric generator and organic Rankine cycle onboard passenger ship;Journal of Thermal Analysis and Calorimetry;2024-06
5. Enhancement of Maritime Sector Decarbonization through the Integration of Fishing Vessels into IMO Energy Efficiency Measures;Journal of Marine Science and Engineering;2024-04-17
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