Design Optimization of Fluid Machinery

Kim, Kwang‐Yong; Samad, Abdus; Benini, Ernesto

doi:10.1002/9781119188377

Cited by 20 publications

(8 citation statements)

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“…A response surface methodology for optimization tool was used [17]. The first step was the design space exploration using design of experiments (DOE).…”

Section: Optimization: Problem Formulation and Toolsmentioning

confidence: 99%

Two-Objective Optimization of a Kaplan Turbine Draft Tube Using a Response Surface Methodology

Orso¹,

Benini²,

Minozzo³

et al. 2020

Preprint

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The overall cost of a hydropower plant is mainly due to the expenses for civil works, mechanical equipment (turbine and control units) and electrical components. The goal of a new draft tube design is to obtain a geometry that reduces investment costs, especially the excavation ones, but the primary driver is to increase the overall machine efficiency allowing for reduced payback time. In the present study, an optimization study of the elbow-draft tube assembly of a Kaplan turbine was conducted. A CFD model for the complete turbine has been developed and validated; next, an optimization of the draft tube alone was performed using a Design of Experiments technique; finally, several optimum solutions for the draft tube were obtained using a Response Surface technique aiming at maximizing pressure recovery and minimizing flow losses. A selection of optimized geometries was subsequently post-checked using the validated model of the entire turbine and a detailed flow analysis on the obtained results could make it possible to provide insight into the improved designs. It was observed that efficiency could be improved by 1% (in relative terms), and the mechanical power increased by 1,8% (in relative terms) with respect to the baseline turbine.

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“…A response surface methodology for optimization tool was used [17]. The first step was the design space exploration using design of experiments (DOE).…”

Section: Optimization: Problem Formulation and Toolsmentioning

confidence: 99%

Two-Objective Optimization of a Kaplan Turbine Draft Tube Using a Response Surface Methodology

Orso¹,

Benini²,

Minozzo³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…A response surface methodology for the optimization tool was used [17]. The first step was a design space exploration using design of experiments (DOE) in order to understand how the design parameters were related to each other and which were the most significant ones.…”

Section: Optimization: Problem Formulation and Toolsmentioning

confidence: 99%

Two-Objective Optimization of a Kaplan Turbine Draft Tube Using a Response Surface Methodology

Orso

Benini

Minozzo³

et al. 2020

Energies

Self Cite

View full text Add to dashboard Cite

The overall cost of a hydropower plant is mainly due to the expenses of civil works, mechanical equipment (turbine and control units) and electrical components. The goal of a new draft tube design is to obtain a geometry that reduces investment costs, especially the excavation ones, but the primary driver is to increase overall machine efficiency, allowing for a reduced payback time. In the present study, an optimization study of the elbow-draft tube assembly of a Kaplan turbine was conducted. First, a CFD model for the complete turbine was developed and validated. Next, an optimization of the draft tube alone was performed using a design of experiments technique. Finally, several optimum solutions for the draft tube were obtained using a response surface technique aiming at maximizing pressure recovery and minimizing flow losses. A selection of optimized geometries was subsequently post-checked using the validated model of the entire turbine, and a detailed flow analysis on the obtained results made it possible to provide insights into the improved designs. It was observed that efficiency could be improved by 1% (in relative terms), and the mechanical power increased by 1.8% (in relative terms) with respect to the baseline turbine.

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“…The engine torque for the simulation model was based on the PTO performance data of the T623 tractor tested by the OECD test code considering a power transmission efficiency of 90%. The full-load torque with full throttle was expressed as a second order polynomial of engine speed, and the partial-load torque with both full and reduced throttles (θ) by a linear function of engine speed (N e ) [8][9][10][11][12][13]. The engine torque from Equation (1) was used to calculate the tractive force while considering the applied engine load torque, the selected transmission gear ratio, overall transmission efficiency, and draft load using Equations (2) and (3) [9][10][11][12][13].…”

Section: Tractor Dynamic Simulation Modelmentioning

confidence: 99%

“…The theoretical velocity of the tractor was calculated using Equations (8)-(9) using measured driving wheel slip conditions for 0.1 based on field experiment results. The engine speed for Equation (1) was obtained by multiplying the theoretical velocity and the transmission gear ratio [9][10][11][12][13].…”

Section: Tractor Dynamic Simulation Modelmentioning

confidence: 99%

“…In this study, three fuel efficiency parameters were used to evaluate the fuel conservation performance of the system. FCA and SVFC, were calculated from FC using Equations (11) and (12), respectively [13]. It is concluded that the operating engine speed of an agricultural tractor can be controlled within a stable range by using the throttle control system.…”

Section: Fuel-saving Performancementioning

confidence: 99%

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Engine Speed Control System for Improving the Fuel Efficiency of Agricultural Tractors for Plowing Operations

Lee

Kim

et al. 2019

Applied Sciences

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This study was conducted to develop a load-sensitive engine speed control system to maximize the fuel efficiency of an agricultural tractor. The engine speed controller was developed through a model-based design approach using a tractor simulation model. The simulated engine speed and torque values were measured with an average error range of 1.4-4.9% compared to results obtained from field experiments. Using the tractor model, the gain parameters of the proportional-integral (PI) controller were optimized under the step, ramp, and actual load conditions. The simulation results using the actual load showed that the engine speed could be adjusted to within 2-3% of the desired value using the proposed engine speed controller. The throttle control system was constructed using four parts of a tractor engine, a microprocessor with an engine speed control algorithm, a throttle actuator, and a data acquisition system. Using the developed system, the operating engine speed values showed an average 1.17 % error compared to the desired engine speed. Three fuel efficiency parameters were used for evaluating the fuel-saving performance of the control system: specific volumetric fuel consumption (SVFC), fuel consumption per tilled area (FCA), and fuel consumption per work hour (FC). The values for SVFC, FCA, and FC obtained from the engine speed control system during plowing operations were 23.03-57.87%, 4.11-42.06%, and −7.24-38.48%, respectively, showing an improvement over the same operations without the control system.

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Design Optimization of Fluid Machinery

Cited by 20 publications

References 0 publications

Two-Objective Optimization of a Kaplan Turbine Draft Tube Using a Response Surface Methodology

Two-Objective Optimization of a Kaplan Turbine Draft Tube Using a Response Surface Methodology

Two-Objective Optimization of a Kaplan Turbine Draft Tube Using a Response Surface Methodology

Engine Speed Control System for Improving the Fuel Efficiency of Agricultural Tractors for Plowing Operations

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