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Assessment of fuel cell studies with particle image velocimetry applications: A key review

handle: 20.500.12462/12425
Abstract Fuel cells are considered to be a promising system that is utilized in several applications and in various sectors. Particle image velocimetry is extremely practicable for the exploration of the flow field inside fuel cells and channels. This paper reviews fuel cell studies focusing on the particle image velocimetry technique in the open literature. In this regard, state-of-the-art and comparative evaluation have been investigated and are discussed. Additionally, challenges, opportunities and future direction have been studied in terms of fuel cell type, size, voltage value, current value, power output capacity, and CFD applications. It is concluded that the growing demand on fuel cells will increase system design, performance improvement and cost benefit efforts affected by the flow and design parameters and characteristics which are other important issues that could be covered using PIV methods in the future. Moreover, this review paper is expected to be a better guide for researchers, policy makers and technologists working on potential commercial applications of fuel cells in mobile and stationary platforms.
- Eskisehir Technical University Turkey
- Yıldız Technical University Turkey
- Balıkesir University Turkey
- Iğdır Üniversitesi Turkey
- Balıkesir University Turkey
Fuel Cell, Performance, Power Generation, Particle Image Velocimetry (PIV), CFD, 620
Fuel Cell, Performance, Power Generation, Particle Image Velocimetry (PIV), CFD, 620
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
