A comprehensive review on Crossflow turbine for hydropower applications

Anand, R.S.; Jawahar, C.P.; Bellos, Evangelos; Malmquist, Anders

doi:10.1016/j.oceaneng.2021.110015

Cited by 16 publications

(3 citation statements)

References 47 publications

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“…The team found that the ANN-based model outperformed the deterministic model in terms of accurately predicting the outlet temperature. A supplementary study by Anand, Jawahar, Bellos, and Malmquist [21] implemented ANN to simulate a cross-flow HEX found in phosphoric acid inhibition plants. Their research focused on the thermal efficiency of HEX, and they did it by taking into account many factors such as measured values for MSE (mean squared error) and R-squared (R-squared), which showed that the model was dependable for efficiency forecasting.…”

Section: Applications Of Intelligent Methods In Hexsmentioning

confidence: 99%

The Characteristics, Methods, Trends and Applications of Intelligent Systems

Ramu

Haldorai²

2023

JCNS

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Interaction between intelligent systems and their human operators in dynamic, shifting, and unpredictable natural and social settings is novel area of study within the topic of intelligent computing systems. Robots of the past were not effective at making decisions on their own; instead, they routinely carried out the same set of actions in the same situations because they believed that the world was predictable. Nowadays, decisions may be made quickly and effectively by intelligent systems in practical settings. Modern intelligent systems include characteristics such as intelligent search and optimization, artificial evolution, and autonomous decision support that are unavailable in a traditional information system. An in-depth analysis of the methods used to create intelligent systems is presented in this paper. These techniques are often categorized as either artificial intelligence or soft computing. Some examples include the use of a neural network, fuzzy logic, a hybrid system, or a swarm of intelligent insects. In addition, this article gives an overview of two applications of intelligent systems and technologies such as Geothermal Heat Pumps (GHPs) and Heat exchangers (HEXs).

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Section: Applications Of Intelligent Methods In Hexsmentioning

confidence: 99%

The Characteristics, Methods, Trends and Applications of Intelligent Systems

Ramu

Haldorai²

2023

JCNS

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“…All three studies cited [10][11][12] showed that the λ significantly affects the CFT performance and indicated the possibility that lower λ angles produce a better performance. In contrast, Anand et al [13] hypothesized that a 90° λ should be used for the optimum efficiency; however, the authors failed to comprehensively explain the performance of each case in their report (which included a variation λ) [13]. Then, Piceno et al [14] proposed a new nozzle design for CFTs; the inlet follows a convergence pipe concept, and the outlet uses a pressurized diffuser.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Crossflow Turbine Configuration Upper Blade Convex and Curvature by Computational Method

et al. 2023

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A pico-hydro-type crossflow turbine (CFT) with an off-grid system configuration is a suitable option to increase the electrification ratio in remote or rural areas because it has a simple shape and can be applied in run-of-river conditions. Yet, a comprehensive study is necessary for the CFT to be applied to run-of-river conditions (low head and extreme fluctuation discharge), since this is categorized as an impulse turbine. One solution to optimize the CFT’s performance in this context is to increase the lift force. Hence, this study investigated the effect of the upper blade of the CFT with convex and curved configurations using the computational fluid dynamics (CFD) method. The CFD transient approach uses a moving mesh feature, and the solver is pressure-based in low-head conditions (5 m pressure). The CFD results and analysis of variance (ANOVA) calculation results from this study reveal that the upper CFT affects the performance of the turbine. The relationship of the CFT performance with the rotation and specific speed is parabolic. The express empirical law relation for performance to rotation is a four-order polynomial, and for performance to a specific speed, a three-order polynomial. Based on empirical laws, a CFT with a convex blade is recommended for conditions with low head and extreme fluctuation discharge since it has a wider range of specific speeds than a curved blade, propeller, or Kaplan, Pelton, or Francis turbine. Doi: 10.28991/CEJ-2023-09-01-012 Full Text: PDF

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“…Cross-flow consists of a runner and nozzle that works from the kinetic energy generated from flowing water. Factors that influence the performance of cross-flow turbines are the blade's number [12], shaft diameter [13], thickness, nozzle entry [14], and nozzle axis [15]. This research is to analyze the effect of geometry on water turbine performance.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Effect of Blade Numbers to Cross-Flow Hydro-Type Turbine with Runner Angle 30° Using CFD and FDA Approach

Prabowoputra¹,

Prabowo²,

Nubli³

et al. 2023

MMEP

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Hydro energy installations in Indonesia are 6% of the total potential resource of 75 TW. Hydro energy in Indonesia still has an excellent opportunity to be developed to reduce the gap between potential and installation. Research on cross-flow type hydro-turbines is one form of effort to increase the availability of electrical energy from hydro-energy. This research has been carried out on a cross-flow type hydro-turbine using a threedimensional computational fluid dynamic (CFD) method. The research used CFX Solver on ANSYS. This research aims to determine the influence of the blade's number on the Power Coefficient of the turbine. Research has been carried out with variations in blades 12, 24, 36, and 48. The runner uses an angle of 30° and operates at a 50-300 rpm rotational speed. The velocity of the water used is 3 m/s, and the simulation is in a steady state. The simulation zone is divided into the rotational zone and the stationary zone. The type of turbulence used in this study is SST, and the mesh method is tetrahedral. The research results that have been done were analyzed using factorial design analysis (two factors). The 36-blade runner variation produced the best Cpmax. The resulting Cpmax is 27%. The factorial design analysis shows a significant influence between the rotational speed factor and the number of blades on turbine performance. In addition, the results show that there is no interaction between the rotational speed factor and the number of blades.

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A comprehensive review on Crossflow turbine for hydropower applications

Cited by 16 publications

References 47 publications

The Characteristics, Methods, Trends and Applications of Intelligent Systems

The Characteristics, Methods, Trends and Applications of Intelligent Systems

Performance Comparison of Crossflow Turbine Configuration Upper Blade Convex and Curvature by Computational Method

Forecasting Effect of Blade Numbers to Cross-Flow Hydro-Type Turbine with Runner Angle 30° Using CFD and FDA Approach

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