• Title/Summary/Keyword: Hydraulic efficient

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Parametric Study of a Fixed-blade Runner in an Ultra-low-head Gate Turbine

  • Mohamed Murshid Shamsuddeen;Duc Anh Nguyen;Jin-Hyuk Kim
    • New & Renewable Energy
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    • v.20 no.1
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    • pp.116-125
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    • 2024
  • Ultra-low-head is an unexplored classification among the sites in which hydroelectric power can be produced. This is typically owing to the low power output and the economic value of the turbines available in this segment. A turbine capable of operating in an ultra-low-head condition without the need of a dam to produce electricity is developed in this study. A gate structure installed at a shallow water channel acting as a weir generates artificial head for the turbine mounted on the gate to produce power. The turbine and generator are designed to be compact and submersible for an efficient and silent operation. The gate angle is adjustable to operate the turbine at varying flow rates. The turbine is designed and tested using computational fluid dynamics tools prior to manufacturing and experimental studies. A parametric study of the runner blade parameters is conducted to obtain the most efficient blade design with minimal hydraulic losses. These parameters include the runner stagger and runner leading edge flow angles. The selected runner design showed improved hydraulic characteristics of the turbine to operate in an ultra-low-head site with minimal losses.

Analysis of the Hydraulic Head Affected by Stage of Tidal Rivers (감조구역에서 지하수 수두의 거동 해석)

  • 김민환;이재형
    • Journal of the Korean Society of Groundwater Environment
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    • v.2 no.1
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    • pp.30-37
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    • 1995
  • In the tidal compartment, the hydraulic head is affected by the stage of tidal rivers. For groundwater or construct works, head variation of groundwater should be considered in zone of this aquifer. A numerical analysis is performed which has an 1-dimemsional explicit finite difference scheme to show the head variation of groundwater with tidal stage and hydraulic conductivity, etc. The stability of the numerical scheme is validated by using the analytic solution. The head variation of groundwater is observed for various tidal amplititude and hydraulic conductivity, mean hydraulic gradient and pumping at any point. The range of influence corresponding to the parameters used in this study is about 60m. This value is not beyond a wave length (equation omitted). There was a pumping at a constant rate out of aquifers affected by tide and not affected by tide. Because pumping head in aquifer affected by tide is short, the expense of electric power is economized in this zone. These results are applicable to trace of contaminant transport, efficient operation of groundwater, and examination of the safety and stability of works in the tidal compartment.

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Detection of multi-type data anomaly for structural health monitoring using pattern recognition neural network

  • Gao, Ke;Chen, Zhi-Dan;Weng, Shun;Zhu, Hong-Ping;Wu, Li-Ying
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.129-140
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    • 2022
  • The effectiveness of system identification, damage detection, condition assessment and other structural analyses relies heavily on the accuracy and reliability of the measured data in structural health monitoring (SHM) systems. However, data anomalies often occur in SHM systems, leading to inaccurate and untrustworthy analysis results. Therefore, anomalies in the raw data should be detected and cleansed before further analysis. Previous studies on data anomaly detection mainly focused on just single type of data anomaly for denoising or removing outliers, meanwhile, the existing methods of detecting multiple data anomalies are usually time consuming. For these reasons, recognising multiple anomaly patterns for real-time alarm and analysis in field monitoring remains a challenge. Aiming to achieve an efficient and accurate detection for multi-type data anomalies for field SHM, this study proposes a pattern-recognition-based data anomaly detection method that mainly consists of three steps: the feature extraction from the long time-series data samples, the training of a pattern recognition neural network (PRNN) using the features and finally the detection of data anomalies. The feature extraction step remarkably reduces the time cost of the network training, making the detection process very fast. The performance of the proposed method is verified on the basis of the SHM data of two practical long-span bridges. Results indicate that the proposed method recognises multiple data anomalies with very high accuracy and low calculation cost, demonstrating its applicability in field monitoring.

A Numerical Simulation Study on the Shape of the Rotor in Hydraulic Cavitation Heat Generator (수력학적 공동현상을 이용한 온수 발생 장치에서의 회전체 형상에 대한 수치해석적 연구)

  • Sun, Xun;Shin, Myung Seob;Lee, Woong Yup;Om, Ae Som;Yoon, Joon Yong
    • The KSFM Journal of Fluid Machinery
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    • v.20 no.2
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    • pp.75-81
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    • 2017
  • This paper presents a numerical investigation on the local hydraulic cavitation phenomena of water resulting from the rotor with high rotational speed in the hydraulic cavitation heat generator. The numerical simulation utilizes the standard k-epsilon turbulence model, the mixture multiphase model and the Schnerr-Sauer cavitation model to simulate the complex cavitation phenomena in the generator. For exploring the efficient shape of the dimples on the rotor to causing cavitation phenomena artificially, the pressure distributions and the volume fractions of the vapor on the rotor are investigated respectively about different shapes of the rotor in the generator. The optimum shape of the dimple to causing cavitation phenomena in the selected shapes is obtained by the means of the numerical simulation.

Treatment of Tapioca Starch Wastewater By Anaerobic Digestion Coupled With Membrane Separation Process (혐기성 소화 및 막분리에 의한 Tapioca 전분의 폐수처리)

  • ;S. Vigneswaran
    • KSBB Journal
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    • v.6 no.2
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    • pp.135-141
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    • 1991
  • This study thus looks into two treatment processess : i) Anaerobic digester coupled with hollow fibre membrane unit. Treatment of starch waste with anaerobic digester-membrane system was studied. $0.17\m^2$ area of hollow fibre membrane unit of known pore size was immersed into laboratory-scale anaerobic digestion system. The pore size of membrane was varied from 0.03 to $\0.15mu$m. The hydraulic retention time of anaerobic digester was varied from 1.5 to 10 days. The effect of hydraulic retention time on treatment efficiency was significant while effect of membrane size was not significant. The gas production was about 0.74㎥/kg COD treated. The COD removal efficient was about 80-95% depending on the hydraulic retention time. ii ) Crossflow ultrafiltration as post treatment to anaerobic filter. The effluent from anaerobic filter, which had a total COD in the range of 4,500-5,200 mg/L was treated by crossflow ultrafiltration units. The study conducted with different membrane pore size indicated that membrace with 1,000,000 molecular weight cut-off size gave a higher COD removal efficiency in the range of 83-87% while giving a study flux of $120-130 L/\m^2$.h. A study was conducted to see the long term clogging effect of membrane also.

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A Study on the Energy Saving and the Reproducibility of highly-efficient Injection Molding Machine (고효율 사출성형기의 에너지 절감 및 성형 재현성 연구)

  • Jeong, C.;Kim, J.S.;Yoon, K.H.;Ahn, H.J.;Hwang, C.J.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2008.10a
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    • pp.418-421
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    • 2008
  • Because of steep rise of international energy cost in recent years high efficiency has been emphasized in energy policy. As far as injection molding machine is concerned, hybrid method using hydraulic and electric systems became the key to this energy saving. the energy saving and molding reproducibility of hybrid injection molding process were shown experimentally, power consumption of hybrid machine is 38% as compared with that of hydraulic machine. Furthermore, the molding reproducibility showed between two methods.

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Application of Permanent Magnet Synchronous Machines in Automotive Steering Systems

  • Sebastian Tomy;Islam Mohammad S.;Mir Sayeed
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • v.5B no.2
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    • pp.111-117
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    • 2005
  • Several of the conventional hydraulic systems in an automobile are now being replaced by more reliable and energy efficient electromechanical systems. Developments in the brushless permanent magnet machine and in the power and control electronics are the key factors responsible for this transformation. These applications brought out some performance challenges associated with the brushless machines. This paper will focus on these challenges to be able to use these machines in such applications. In terms of replacing hydraulic systems with electromechanical systems, steering system is leading the way in automobiles. Currently, steering systems using Electro-hydraulically assisted systems and Electrically assisted (Electromechanical) systems are in the market. Though the Electrically assisted power steering has several advantages over other systems, certain performance and cost challenges delayed the penetration of such systems in to the market.

AIR ENTRAINMENT AND ENERGY DISSIPATION AT STEPPED DROP STRUCTURE

  • Kim Jin Hong
    • Water Engineering Research
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    • v.5 no.4
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    • pp.195-206
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    • 2004
  • This paper deals with oxygen transfer by air entrainment and energy dissipations by flow characteristics at the stepped drop structure. Nappe flow occurred at low flow rates and for relatively large step height. Dominant flow features included an air pocket, a free-falling nappe impact and a subsequent hydraulic jump on the downstream step. Most energy was dissipated by nappe impact and in the downstream hydraulic jump. Skimming flow occurred at larger flow rates with formation of recirculating vortices between the main flow and the step comers. Oxygen transfer was found to be proportional to the flow velocity, the flow discharge, and the Froude number. It was more related to the flow discharge than to the Froude number. Energy dissipations in both cases of nappe flow and skimming flow were proportional to the step height and were inversely proportional to the overflow depth, and were not proportional to the step slope. The stepped drop structure was found to be efficient for water treatment associated with substantial air entrainment and for energy dissipation.

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A Case Study for Evaluating Groundwater Condition in RMR and Q Rock Mass Classification on Bard Rock Tunnel (RMR 및 Q 분류시 지하수 조건 평가방법에 관한 사례 연구)

  • 이대혁;이철욱;김호영
    • Tunnel and Underground Space
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    • v.13 no.5
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    • pp.353-361
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    • 2003
  • For RMR and Q rock mass classification at the design and construction stage, evaluation of groundwater condition is usually based upon the experience due to the restriction of available methods. Based on the results of Taejon LNG Pilot Cavern which acquire joint water pressure, inflow rate of ground water and hydraulic conductivity model, estimates from numerical analysis and analytical solutions were compared to verify each evaluation method. As the result, the Raymer(2001) approach was found to be efficient for estimating inflow rate and corresponding value.

An improvement of control performance of ship by FNN controller (FNN 제어기에 의한 선박의 조종성능개선)

  • Kang, Chang-Nam
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1228-1229
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    • 2011
  • A novel approach has been promoted for FNN ship controllers. An Electro-hydraulic governor has been widely adopted to the ship speed control of propulsion marine diesel engines for a long time, it was very difficult for Electro-hydraulic governor to regulate the speed of high power engine with long stroke at low speed and low load, because of the jiggling phenomena by rough fluctuation of rotating torque and the hunting phenomena by long dead time occurred in fuel combustion process in the engine cylinder. This paper provides an efficient way for improving control performance by FNN controller. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The performance of controller is evaluated by the system simulation using simulink tools.

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