Matteo Pini

Dr. Matteo Pini is an Associate Professor in the Flight Performance and Propulsion department at Delft University of Technology's Faculty of Aerospace Engineering. His research focuses on advanced turbomachinery design, non-ideal compressible fluid dynamics, and thermal systems with applications in aerospace propulsion and energy recovery.

His educational background includes a PhD (Dr.ir. designation) in Aerospace Engineering, reflecting the Dutch academic tradition. Pini has established himself as a leading researcher in the field of non-ideal fluid behavior in turbomachinery applications, particularly in organic Rankine cycle systems and supersonic turbine design.

Dr. Pini's research interests span Turbomachinery, Fluid Dynamics, Non-Ideal Compressible Fluid Dynamics, Organic Rankine Cycle Systems, Aerospace Propulsion, Thermal Engineering, and Computational Fluid Dynamics. His work bridges theoretical fluid mechanics with practical engineering applications, particularly in the design of high-efficiency thermal systems for aerospace and energy applications.

Analysis of his recent publications reveals a strong focus on optimizing turbomachinery performance under non-ideal fluid conditions, with particular emphasis on supersonic flow regimes, organic working fluids, and advanced computational methods. His research demonstrates consistent innovation in applying adjoint-based optimization techniques to complex thermal systems design.

• NWO Open Technology Program Grant (2019) for Organic Rankine Cycle technology development

Dr. Pini actively supervises graduate students (9 supervised works documented) and contributes to major research initiatives including waste heat recovery systems for aircraft. He serves in editorial roles for publications like the Global Propulsion and Power Forum and participates in key academic events such as the International Seminar on Non-Ideal Compressible Fluid Dynamics. His research group appears to focus on the ORCHID facility for studying non-ideal compressible fluid dynamics and testing ORC expanders, indicating a strong experimental component to complement computational work.