Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery-Reference-Cited by-同舟云学术

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Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery

Published:2018-05 Issue: Volume:164 Page:15-26
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Yang Fubin,Cho Heejin^ORCID,Zhang Hongguang,Zhang Jian,Wu Yuting

Funder

National Natural Science

Beijing Natural Science

International Cooperation and Exchanges NSFC

China Scholarship Council

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Analysis of exhaust waste heat recovery from a dual fuel low temperature combustion engine using an Organic Rankine Cycle;Srinivasan;Energy,2010

2. A combined thermodynamic cycle used for waste heat recovery of internal combustion engine;He;Energy,2011

3. Techno-economic survey of Organic Rankine Cycle (ORC) systems;Quoilin;Renew Sustain Energy Rev,2013

4. Impact of organic Rankine cycle system installation on light duty vehicle considering both positive and negative aspects;Usman;Energy Convers Manag,2016

5. Experimental investigations on a cascaded steam-/organic-Rankinecycle (RC/ORC) system for waste heat recovery (WHR) from diesel engine;Yu;Energy Convers Manag,2016

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