Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review

Rong Xie, Muyan Chen, Weihuang Liu, Hongfei Jian and Yanjun Shi
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Rong Xie: School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China
Muyan Chen: School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China
Weihuang Liu: School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China
Hongfei Jian: School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China
Yanjun Shi: School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China

Sustainability, 2021, vol. 13, issue 5, 1-22

Abstract: Turbomachinery from a life cycle perspective involves sustainability-oriented development activities such as design, production, and operation. Digital Twin is a technology with great potential for improving turbomachinery, which has a high volume of investment and a long lifespan. This study presents a general framework with different digital twin enabling technologies for the turbomachinery life cycle, including the design phase, experimental phase, manufacturing and assembly phase, operation and maintenance phase, and recycle phase. The existing digital twin and turbomachinery are briefly reviewed. New digital twin technologies are discussed, including modelling, simulation, sensors, Industrial Internet of Things, big data, and AI technologies. Finally, the major challenges and opportunities of DT for turbomachinery are discussed.

Keywords: sustainability; digital twin; life cycle; turbomachinery; simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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