Application of Digital Twin Technology on Simulation and Optimization of Prime Movers in Energy Systems

Vili Panov () and Samuel Cruz-Manzo ()
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Vili Panov: University of Lincoln
Samuel Cruz-Manzo: University of Lincoln

A chapter in Handbook of Smart Energy Systems, 2023, pp 1175-1215 from Springer

Abstract: Abstract The advent of digital twin technology enabled next steps in the evolution of the current state-of-the-art optimization solutions for prime movers in energy systems. Conventional offerings for operational optimization of prime movers were predominantly based on non-real-time and off-line solutions. Emerging digital twin technologies facilitated the next generation of simulation and optimization techniques, which in return enabled advanced utilization of engineering assets. These solutions exploit online functionalities which are distributed across the whole IoT chain consisting of Embedded, Edge, and Cloud computational platforms. In this contribution, we present various simulation and optimization techniques applicable to gas turbine systems. Gas turbines play a vital role in energy production as prime movers and they are extensively utilized as the workhorse within the power generation sector.

Keywords: Digital twin; Simulation; Model-based optimization; Monitoring; Diagnostics; Prognostics; Tracking; Control; Gas turbines (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_153

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DOI: 10.1007/978-3-030-97940-9_153

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