Mengqi Yao
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mengqi Yao is a pioneering researcher at the forefront of sustainable manufacturing and digital twin technology, with a focused expertise in low-carbon workshop operations and energy efficiency modeling. Her most influential work, "Construction and Application of Energy Footprint Model for Digital Twin Workshop Oriented to Low-Carbon Operation" (2024), addresses a critical challenge in modern industry: accurately characterizing equipment energy consumption fluctuations and the dynamic evolution of overall energy use in low-carbon workshops. By developing a novel energy footprint model (EFM) integrated with digital twin frameworks, Dr. Yao provides a groundbreaking method for real-time energy monitoring and optimization, enabling factories to reduce their carbon footprint while maintaining operational efficiency. Although her work is recent, it has already garnered 2 citations, signaling growing recognition among peers in sustainable engineering and Industry 4.0 research. Her contributions are particularly notable for bridging the gap between theoretical energy modeling and practical workshop applications, offering a scalable solution for industries transitioning to greener operations. Dr. Yao’s research holds significant promise for advancing smart manufacturing and climate-conscious production systems.
Research Focus
Key Achievements
Top Papers
- 1