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-Reference-Cited by-同舟云学术

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

Published:2024-08 Issue: Volume:306 Page:118124
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Díaz-Secades Luis Alfonso^ORCID,González R.^ORCID,Rivera N.^ORCID,Quevedo José Ramón,Montañés Elena^ORCID

Funder

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference95 articles.

1. Experimental investigation of organic Rankine cycle performance using alkanes or hexamethyldisiloxane as a working fluid;Abbas;Energy Convers. Manag. X,2022

2. A fundamental equation of state for trifluoromethyl methyl ether (HFE-143m) and its application to refrigeration cycle analysis;Akasaka;Int. J. Refrig.,2012

3. Thermodynamic analysis of ORC configurations used for WHR from a turbocharged diesel engine;Apostol;Procedia Eng.,2015

4. High temperature heat pumps: market overview, state of the art, research status, refrigerants, and application potentials;Arpagaus;Energy,2018

5. Performance analysis of high temperature cascade organic Rankine cycle coupled with water heating system;Aziz;Energy,2019

Cited by 2 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. Improving Electric Power Stability and Efficiency Using an Integrated Control System for Refrigerated Containers;Journal of Marine Science and Engineering;2024-09-12

2. Thermo-Economic Comparison between Three Different Electrolysis Technologies Powered by a Conventional Organic Rankine Cycle for the Green Hydrogen Production Onboard Liquefied Natural Gas Carriers;Journal of Marine Science and Engineering;2024-07-31