An organic group contribution approach to radiative efficiency estimation of organic working fluid-Reference-Cited by-同舟云学术

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An organic group contribution approach to radiative efficiency estimation of organic working fluid

Published:2016-01 Issue: Volume:162 Page:1205-1210
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhang Xinxin,Kobayashi Noriyuki,He Maogang,Wang Jingfu

Funder

National Natural Science Foundation of China

National Key Basic Research Program of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference35 articles.

1. A new method used to evaluate organic working fluids;Zhang;Energy,2014

2. Knowledge based decision making method for the selection of mixed refrigerant systems for energy efficient LNG processes;Khan;Appl Energy,2013

3. Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings;Karunakaran;Appl Energy,2010

4. A performance analysis of a novel system of a dual loop bottoming organic rankine cycle (ORC) with a light-duty diesel engine;Zhang;Appl Energy,2013

5. Method for customizing an organic Rankine cycle to a complex heat source for efficient energy conversion, demonstrated on a Fischer Tropsch plant;DiGenova;Appl Energy,2013

Cited by 5 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. Performance prediction and design of CO2 mixtures with the PR-VDW model and molecular groups for the transcritical power cycle;Energy;2023-11

2. Working fluid design and performance optimization for the heat pump-organic Rankine cycle Carnot battery system based on the group contribution method;Energy Conversion and Management;2023-10

3. Performance Prediction and Design of Co2 Mixtures with the Pr-Vdw Model and Molecular Groups for the Transcritical Power Cycle;2023

4. Combining cubic equations with group contribution methods to predict cycle performances and design working fluids for four different organic Rankine cycles;Energy Conversion and Management: X;2022-08

5. Simultaneous working fluids design and cycle optimization for Organic Rankine cycle using group contribution model;Applied Energy;2017-09

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