Co-optimization of miller degree and geometric compression ratio of a large-bore natural gas generator engine with novel Knock models and machine learning-Reference-Cited by-同舟云学术

Co-optimization of miller degree and geometric compression ratio of a large-bore natural gas generator engine with novel Knock models and machine learning

Published:2023-12 Issue: Volume:352 Page:121957
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Cao Jiale,Li Tie,Huang Shuai,Chen Run,Li Shiyan,Kuang Min,Yang Rundai,Huang Yating

Publisher

Elsevier BV

Subject

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

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