Abstract
In recent years, advances in using computational fluid dynamics (CFD) software have greatly increased due to its great potential to save time in the design process compared to experimental testing for data acquisition. Additionally, in real-life tests, a limited number of quantities are measured at a time, while in a CFD analysis all desired quantities can be measured at once, and with a high resolution in space and time. This article reviews the advances made regarding CFD modeling and simulation for the design and optimization of crossflow hydro turbines (CFTs). The performance of these turbines depends on various parameters like the number of blades, tip speed ratio, type of airfoil, blade pitch, chord length and twist, and its distribution along the blade span. Technical aspects of the model design, which include boundary conditions, solution of the governing equations of the water flow through CFTS, and the assumptions made during the simulations are thoroughly described. From the review, a clear idea on the suitability of the accuracy CFD applications in the design and optimization of crossflow hydro turbines has been provided. Therefore, this gives an insight that CFD is a useful and effective tool suitable for the design and optimization of CFTs.
Highlights
Computational fluid dynamics is the discipline of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by resolving a set of governing mathematical equations numerically: conservation of mass, momentum, energy, and species mass
It is an important tool used in fluid mechanics to solve and analyze problems that involve fluid flow through numerical methods and algorithms. e computational fluid dynamics (CFD) has been used to predict the behavior of fluid flow by approximations that solve partial differential equations (PDEs) governing flows
CFD and experimental results for 0.53 kW turbine differed by less than 3.8%. e results elucidate that CDF has facilitated the conversion of the head into kinetic energy and matching of nozzle flow with runner design. is points out that CDF is crucial in turbine design
Summary
Computational fluid dynamics is the discipline of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by resolving a set of governing mathematical equations numerically: conservation of mass, momentum, energy, and species mass. It is an important tool used in fluid mechanics to solve and analyze problems that involve fluid flow through numerical methods and algorithms. E CFD has been used to predict the behavior of fluid flow by approximations that solve partial differential equations (PDEs) governing flows. The procedure for determining the degree to which CFD model is an accurate representation of the real world from the viewpoint of the projected use is essential. Complementary to experimental investigation, the numerical simulation of flows is an auspicious way to investigate flows at real operating conditions [3]
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