Prof. Jaroslaw Milewski | Fuel Cells | Editorial Board Member
Warsaw University of Technology | Poland
Prof. Jarosław Milewski is an internationally recognized scholar in advanced energy systems, with a distinguished record of research in fuel cell technologies, energy conversion, hydrogen systems, thermodynamics, and mathematical modeling of electrochemical processes. His work has been pivotal in the development of high-efficiency and low-emission energy solutions, particularly within the domains of molten carbonate fuel cells (MCFCs), solid oxide fuel cells (SOFCs), and hybrid power systems. Over the last two decades, he has authored and co-authored more than 250 peer-reviewed publications, including journal articles, conference papers, and book chapters, which collectively hold several thousand citations, reflecting his significant influence on global clean-energy research. A key element of his scholarly contribution is the integration of artificial intelligence with energy system modeling. His recent work on Artificial Neural Network-based mathematical models for methanol steam reforming in MCFC anodes demonstrates his commitment to bridging experimental research with advanced computational frameworks. This approach has accelerated the optimization and predictive capabilities of next-generation fuel cell systems, supporting more sustainable industrial and power-generation applications. Prof. Milewski has collaborated extensively with leading research groups across Europe, Asia, and North America, contributing to multinational energy-innovation consortia, EU-funded projects, and industry-academia partnerships aimed at advancing decarbonization technologies. His leadership roles include serving on editorial boards of prominent energy journals, supervising doctoral candidates, and contributing to international scientific committees in sustainable engineering.
Profiles: Scopus | ORCID | Google Scholar
Featured Publications
1. Nikonowicz, Ł., & Milewski, J. (2012). Virtual power plants—General review: Structure, application and optimization. Journal of Power Technologies, 92(3), 201.
2. Milewski, J., Świrski, K., Santarelli, M., & Leone, P. (2011). Advanced methods of solid oxide fuel cell modeling. Springer-Verlag London.
3. Huang, Z., Xie, Z., Zhang, C., Chan, S. H., Milewski, J., Xie, Y., Yang, Y., & Hu, X. (2019). Modeling and multi-objective optimization of a stand-alone PV–hydrogen–retired EV battery hybrid energy system. Energy Conversion and Management, 181, 80–92.
4. Modeling the SOFC behaviors by artificial neural network. International Journal of Hydrogen Energy, 34(13), 5546–5553.
5. Milewski, J., Guandalini, G., & Campanari, S. (2014). Modeling an alkaline electrolysis cell through reduced-order and loss-estimate approaches. Journal of Power Sources, 269, 203–211