Fengque Pei

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About

Fengque Pei is a researcher focused on sustainable manufacturing and energy-efficient industrial systems, with key contributions in energy flow modeling and real-time energy consumption sensing for intelligent workshops. Their work addresses critical challenges in achieving China’s “carbon peaking and carbon neutrality” goals by optimizing energy use in manufacturing processes. Pei’s most-cited paper, “Research on Modeling Method of Industrial Robots Optimum Design Based on Energy Flow” (2021, 2 citations), introduces a novel energy flow modeling approach for industrial robots, establishing a performance-constrained domain to enable optimal design and energy savings. Building on this, their 2023 study, “Real-Time Energy Consumption Sensing System in SMT Intelligent Workshop” (2 citations), develops a practical system for monitoring energy use in surface mount technology workshops, offering a low-cost, high-performance solution for reducing carbon emissions. Though early in their career, Pei’s work bridges theoretical modeling and applied sensing, providing foundational tools for sustainable smart manufacturing. Their research is particularly notable for its direct relevance to industrial decarbonization, offering actionable insights for engineers and policymakers. Pei’s contributions are poised to grow in impact as industries increasingly prioritize energy efficiency and environmental sustainability.