Advanced Fluid Machinery and Integrated Energy Systems: Design, Optimization, and Applications

Dear Colleagues,

Today’s fluid machinery—including pumps, compressors, turbines, and complex hydraulic systems—benefits from the adoption of new materials, optimized aerodynamic configurations, and high-fidelity simulation techniques based on advanced CFD methods. The use of numerical models coupled with multi-objective optimization algorithms allows for improvements in energy efficiency, reductions in undesirable phenomena such as cavitation and instability, and the optimization of the dynamic behavior of components operating under extreme or variable conditions. At the same time, the introduction of additive manufacturing techniques enables the creation of complex geometries and customized solutions that enhance performance and reliability, supporting faster development cycles.

Integrated energy systems represent a new frontier in intelligent energy management, connecting renewable sources, storage systems, thermal networks, and electromechanical components through hybrid and flexible architectures. The integration of advanced fluid machines into these networks allows for the maximization of energy recovery, the optimization of waste heat usage, the enabling of autonomous microgrids, and the improvement of system stability even in the presence of the high intermittency of renewable sources. The application of predictive models, machine learning algorithms, and digital twin tools promotes proactive control, predictive maintenance, and optimal real-time energy management.

In conclusion, the synergy between advanced fluid machines and integrated energy systems is a key element in achieving a low-emission, high-efficiency energy future. Innovation in design, model-based optimization, and the use of intelligent control strategies allow us to address current and future challenges, making these systems essential for the transition to more sustainable, resilient energy infrastructures focused on a circular economy.

Prof. Dr. Roberto Capata
Dr. Filippo Busato
Prof. Dr. Leone Martellucci
Guest Editors

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• fluid machinery
• integrated energy systems
• predictive models
• machine learning algorithms
• integrated energy systems
• in design
• model-based optimization
• circular economy