This article explores integrating digital twin technology and blockchain within smart grids to
optimize energy trading among prosumers and consumers in smart nanogrids. Our platform …

The intelligent manufacturing and digital technologies have rapidly advanced with the
advent of the industry 4.0 era, placing higher demands on the stability, reliability, and safety …

Developing and optimizing new reactive systems with carbon-neutral fuels like biofuels, e-
fuel, hydrogen, or ammonia is crucial for sustainable energy. This requires advanced …

This study introduces a framework for developing a multi-fidelity reduced order model (MF-
ROM) of a combustion furnace operating under Moderate and Intense Low-oxygen Dilution …

Accurate multi-physics field prediction is important in the design and optimization for
ethylene cracking furnaces. However, traditional computational fluid dynamics (CFD) …

Digital twin technology develops virtual models of objects digitally, simulating their real-
world behavior based on data. It aims to reduce product development cycles and costs …

When they occur, azimuthal thermoacoustic oscillations can detrimentally affect the safe
operation of gas turbines and aeroengines. We develop a real-time digital twin of azimuthal …

This study presents a data assimilation (DA) framework that combines a simulation-based
digital twin (DT) with a sparse sensing (SpS) strategy using experimental data. This …

This research explores cycle-to-cycle variability in dynamic stall through wind tunnel
experiments conducted on a pitching NACA 0018 aerofoil at a Reynolds number of 2.8× 10 …

This review investigates computational approaches for optimizing blast furnace and
reheating furnace operations with a focus on achieving low emissions and energy-efficient …