معرفی
Jens Engström is a Senior Lecturer at the Department of Electrical Engineering, Uppsala University, where he is affiliated with the Division of Electricity. His research is centered on wave energy conversion systems, particularly point-absorbing wave energy converters, with a strong emphasis on hydrodynamic modeling, survivability under extreme conditions, and control strategies.
His research interests include wave energy conversion, hydrodynamic modeling, control systems for wave energy converters, marine renewable energy, and the application of machine learning to optimize energy extraction and survivability. He also investigates the integration of wave energy with desalination systems for sustainable freshwater production, especially in off-grid and island contexts.
Recent publications show a clear trend toward the application of artificial intelligence and deep learning in enhancing the performance and survivability of wave energy converters. His work combines experimental validation, numerical simulation (including CFD), and field measurements, particularly from the Lysekil Research Site. The research spans from fundamental hydrodynamics to system-level optimization of wave energy farms.
He has contributed to numerous high-impact journals such as Renewable Energy, Ocean Engineering, and IEEE Journal of Oceanic Engineering, and has co-authored review articles on wave energy park optimization. His research is highly collaborative, often involving teams from Uppsala University and international partners.
Engström completed his doctoral thesis in 2011 on hydrodynamic modeling of point-absorbing wave energy converters and has been actively publishing since 2007. He is involved in advising students and supervising research projects, though specific names are not listed. His work is supported by experimental and numerical infrastructure at Uppsala University, particularly related to the Lysekil wave energy research site.
حوزههای پژوهشی
