Evaluation of a diesel engine optimized by non-evolutionary NLPQL and evolutionary genetic algorithms and assessing second law efficiency: Analysis in exergy loss and chemical exergy-Reference-Cited by-同舟云学术

Evaluation of a diesel engine optimized by non-evolutionary NLPQL and evolutionary genetic algorithms and assessing second law efficiency: Analysis in exergy loss and chemical exergy

Published:2019-08 Issue: Volume:159 Page:113794
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Navid Ali,Khalilarya Shahram

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference39 articles.

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4. Numerical calculation of energy and exergy flows of a turboshaft engine for power generation and helicopter applications;Turan;Energy,2016

5. Energy and exergy analysis of a turbocharged hydrogen internal combustion engine;Wang;Int. J. Hydr. Energy,2018

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