Skip to main navigation Skip to search Skip to main content

Combined microjet control of air ejectors with surrogate model-based optimisation

  • Zheng Lin
  • , Zhanying Zheng*
  • , Shunlin Tang
  • *Corresponding author for this work
  • School of Robotics and Advanced Manufacture, Harbin Institute of Technology Shenzhen
  • Harbin Institute of Technology Shenzhen
  • Ningbo Key Laboratory of Numerical Simulation for Advanced Manufacturing Industries

Research output: Contribution to journalArticlepeer-review

Abstract

With the continuous increase in global energy demand and growing environmental concerns, the development of high-efficiency and more sustainable refrigeration technologies has become crucial. Eject refrigeration systems have drawn great attention for their ability to be incorporated with various renewable energy sources, although often suffering from low-performance issues, particularly during off-design conditions. In this study, a microjet control approach together with surrogate model-based optimisation framework has been developed, and its effectiveness on ejector performance enhancement has been examined. In the optimisation process, numerical simulations are used to predict the entrainment ratio of the ejector at the given operating condition for the construction and update of the surrogate model, which is then used to obtain the most suitable microjet control parameters. The results indicate that while the adoption of microjet control offers limited help during a critical mode, it leads to a remarkable enhancement of the ejector performance up to 85.8% under subcritical conditions. It has been found that a buffer layer between the main primary fluid and the nozzle wall was created, causing a delayed and weakened choking at the outlet of the nozzle, which further established a local low-pressure zone, enhancing interaction between the primary and secondary fluids. The findings and the established global optimisation framework for microjet control have the potential to provide insights and solutions for similar problems in a broad range of engineering applications.

Original languageEnglish
Article number110438
JournalInternational Journal of Heat and Fluid Flow
Volume120
DOIs
StatePublished - Jun 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Active control
  • Microjet control
  • Off-design condition
  • Surrogate model-based optimisation

Fingerprint

Dive into the research topics of 'Combined microjet control of air ejectors with surrogate model-based optimisation'. Together they form a unique fingerprint.

Cite this