Technical Papers
Jun 11, 2020

Analytical Model for Altitude Adaptability of Turbocharged Heavy-Duty Diesel Engine

Publication: Journal of Energy Engineering
Volume 146, Issue 4

Abstract

This paper proposes an analytical model to predict the maximum altitude adaptability of a turbocharging diesel engine. First, the influence of the turbocharging system parameters on the diesel engine performance at different altitudes was analyzed by using an experimental method. The results showed that the engine power decreased dramatically at higher altitude owing to the enlarged energy gap between the available flow energy fed to the turbocharging system and the energy required for the full power recovery. On this basis, an analytical model was established. The model results indicated that the altitude adaptability of the turbocharged diesel engine was determined mainly by three dimensionless parameters, namely the (1) compressor pressure ratio at sea level, (2) turbocharger efficiency multiplied by the ratio of the turbine inlet temperature to the compressor inlet temperature at sea level, and (3) ratio of the turbocharger efficiency at plateau to the turbocharger efficiency at sea level. Next, the maximum altitude adaptability of a turbocharged diesel engine was predicted using these three dimensionless parameters. Finally, the prediction results were validated by comparison with the experimental data. This model can be used to predict whether the engine power can be fully recovered at the studied altitude range before optimizing the turbocharging systems to realize the engine power recovery.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The research is supported by National Natural Science Foundation of China (NSFC), No. 51606121.

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Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 146Issue 4August 2020

History

Received: Jul 8, 2019
Accepted: Nov 14, 2019
Published online: Jun 11, 2020
Published in print: Aug 1, 2020
Discussion open until: Nov 11, 2020

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Authors

Affiliations

Yuncheng Gu [email protected]
Ph.D. Candidate, School of Mechanical Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China. Email: [email protected]
Sipeng Zhu, Ph.D. [email protected]
School of Mechanical Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China. Email: [email protected]
Mingyang Yang [email protected]
Associate Professor, School of Mechanical Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China. Email: [email protected]
Huiyan Zhang [email protected]
Ph.D. Candidate, School of Mechanical Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China. Email: [email protected]
Kangyao Deng [email protected]
Professor, School of Mechanical Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China (corresponding author). Email: [email protected]
Zhenhuan Yang [email protected]
Postgraduate, China North Engine Research Institute, Tianjin 300400, China. Email: [email protected]

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