Improving hydraulic system energy efficiency with high performance hydraulic fluids

2013 ◽  
Author(s):  
Franklin L. Quilumba ◽  
Lyndon K. Lee ◽  
Wei-Jen Lee ◽  
Alan Harding
Keyword(s):  
Energy Efficiency ◽  
Hydraulic System ◽  
High Performance ◽  
Hydraulic Fluids ◽  
System Energy

Improving Hydraulic System Energy Efficiency With High-Performance Hydraulic Fluids

2014 ◽  
Vol 50 (2) ◽  
pp. 1313-1321 ◽  
Author(s):  
Franklin L. Quilumba ◽  
Lyndon K. Lee ◽  
Wei-Jen Lee ◽  
Alan Harding
Keyword(s):  
Energy Efficiency ◽  
Hydraulic System ◽  
High Performance ◽  
Hydraulic Fluids ◽  
System Energy

Bubble Elimination from Working Oil for Environmentally Friendly Hydraulic System Design

2012 ◽  
Vol 6 (4) ◽  
pp. 488-493 ◽  
Author(s):  
Yutaka Tanaka ◽  
◽  
Sayako Sakama ◽  
Ryushi Suzuki ◽  
Keyword(s):  
Cost Reduction ◽  
Hydraulic System ◽  
High Performance ◽  
Swirl Flow ◽  
Hydraulic Fluid ◽  
Air Bubbles ◽  
Hydraulic Systems ◽  
Hydraulic Fluids ◽  
Technical Issues ◽  
Hydraulic System Design

With a view to environmental compatibility, energy saving, cost reduction, and high performance and efficiency, one trend in hydraulic systems, particularly in mobile markets, is to design them to be more compact, require less hydraulic fluid in the reservoir, and use their working hydraulic fluid longer. Air bubbles entrained in working hydraulic fluids have greatly detrimental effects on the function and lifetime of hydraulic fluids, components, and systems. A bubble eliminator using a swirl flow that can eliminate air bubbles from working hydraulic fluid has been proposed and developed by our smart and clean hydraulic project. This paper focuses on technical issues related to air bubbles, the aging process of hydraulic oil, and a field test of the performance of the bubble eliminator.

scholarly journals Statistical and machine learning models for optimizing energy in parallel applications

2019 ◽  
Vol 33 (6) ◽  
pp. 1079-1097 ◽  
Author(s):  
Mark Endrei ◽  
Chao Jin ◽  
Minh Ngoc Dinh ◽  
David Abramson ◽  
Heidi Poxon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
High Performance ◽  
Large Scale ◽  
Energy Use ◽  
Parallel Applications ◽  
Learning Models ◽  
Trade Off ◽  
Time Required ◽  
Machine Learning Models

Rising power costs and constraints are driving a growing focus on the energy efficiency of high performance computing systems. The unique characteristics of a particular system and workload and their effect on performance and energy efficiency are typically difficult for application users to assess and to control. Settings for optimum performance and energy efficiency can also diverge, so we need to identify trade-off options that guide a suitable balance between energy use and performance. We present statistical and machine learning models that only require a small number of runs to make accurate Pareto-optimal trade-off predictions using parameters that users can control. We study model training and validation using several parallel kernels and more complex workloads, including Algebraic Multigrid (AMG), Large-scale Atomic Molecular Massively Parallel Simulator, and Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. We demonstrate that we can train the models using as few as 12 runs, with prediction error of less than 10%. Our AMG results identify trade-off options that provide up to 45% improvement in energy efficiency for around 10% performance loss. We reduce the sample measurement time required for AMG by 90%, from 13 h to 74 min.

System Energy Efficiency Comparison of AC and DC Buildings Based on Lagrange Multiplier

2021 ◽  
Author(s):  
Xinliang Yang ◽  
Hanju Ding ◽  
Yanda Lv ◽  
Yuanyuan Lu ◽  
Yuming Zhao ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Lagrange Multiplier ◽  
System Energy ◽  
Efficiency Comparison

Investigation of Thermal Effects in Direct Driven Hydraulic System for Off-Road Machinery

2016 ◽  
Author(s):  
Niko Karlén ◽  
Tatiana Minav ◽  
Matti Pietola
Keyword(s):  
Energy Efficiency ◽  
Hydraulic System ◽  
Energy Savings ◽  
Mechanical Energy ◽  
Hydraulic Model ◽  
Energy Losses ◽  
Total Efficiency ◽  
Ambient Temperatures ◽  
Wheel Loaders ◽  
Save Energy

Several types of off-road machinery, such as industrial trucks, forklifts, excavators, mobile cranes, and wheel loaders, are set to be operated in environments which can differ considerably from each other. This sets certain limits for both the drive transmissions and working hydraulics of these machines. The ambient temperature must be taken into account when selecting the hydraulic fluid since the viscosity and density of the fluid are changing at different operating temperatures. In addition to the temperature, energy efficiency can also be a problem in off-road machinery. In most off-road machines, diesel engines are employed to produce mechanical energy. However, there are energy losses during the working process, which causes inefficiency in produced energy. For better energy efficiency, hybridization in off-road machinery is an effective method to decrease fuel consumption and increase energy savings. One of the possible methods to save energy with hybrids is energy regeneration. However, it means that the basic hydraulic system inside off-road machinery needs to be modified. One solution for this is to utilize zonal or decentralized approach by means of direct driven hydraulic (DDH) system. This paper aims to investigate a DDH system for off-road machinery by means of modelling and analyzing the effect of the temperature. In the direct-driven hydraulic system, the actuator is controlled directly by the hydraulic pump which is operated by the electric motor. Specifically, it is a valveless closed-loop hydraulic system. Thus, there will be no energy losses caused by the valves, and the total efficiency is assumed to be significantly higher. In order to examine the DDH system, a thermo-hydraulic model was created. Additionally, a thermal camera was utilized in order to illustrate the temperature changes in the components of the DDH system. To reproduce the action of the system in different circumstances DDH system was run at different ambient temperatures, and the component temperatures in the system were measured and saved for the analysis. The thermo hydraulic model was proven capable to follow the general trend of heating up.

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