Determination of the prospective energy consumption of manufacturing technologies with methods-energy measurement (MEM)

2014 ◽  
Author(s):  
Martin Bornschlegl ◽  
Simon Spreng ◽  
Sven Kreitlein ◽  
Markus Bregulla ◽  
Jorg Franke
Keyword(s):  
Energy Consumption ◽  
Energy Measurement ◽  
Manufacturing Technologies

Temperature during the vibration-assisted compression of alfalfa

BioResources ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 141-150
Author(s):  
Xiaoyu Wu ◽  
Shuai Yang ◽  
Chundong Song ◽  
Kun Ding ◽  
Chuanzhong Xuan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Vibration Frequency ◽  
Experimental Results ◽  
Maximum Temperature ◽  
Compression Time ◽  
Vibration Parameters ◽  
Reducing Energy ◽  
Compression Temperature

Compression of alfalfa into briquettes is an effective way to solve the problem of storage and transportation. In the process of compression, heat is generated and the temperature is raised in the material. In fact, the appropriate temperature can improve the quality of alfalfa briquettes and reduce the energy consumption of densification. In this study, the effect of assisted vibration on the compression temperature was tested. The results showed that when the vibration frequency was below 15 Hz, the temperature at the center and side in compressed alfalfa increased slowly with compression time. When the vibration frequency was above 20 Hz, it increased first and then decreased with the increase of time. Moreover, the maximum temperature value increased remarkably when the frequency was above 20 Hz. In the same vibration frequency and compression time, the center temperature in the compressed alfalfa was higher than the side temperature. The experimental results provide a reference for the determination of reasonable vibration parameters, and explanation of the effect of vibration on reducing energy consumption.

MNVPCS: Multinode Virtual-Point–Based Charging Scheme to Prolong the Lifetime of Wireless Rechargeable Sensor Networks

2019 ◽  
Vol 63 (2) ◽  
pp. 283-294
Author(s):  
Hong-Yi Chang ◽  
Zih-Huan Hang ◽  
Yih-Jou Tzang
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Mobile Wireless ◽  
Wireless Rechargeable Sensor Networks ◽  
Virtual Point ◽  
Over Time

Abstract Wireless-charging technology can utilize a mobile wireless charging vehicle (WCV) to rescue dying nodes by supplementing their remaining energy, and using WCVs in this way forms wireless rechargeable sensor networks (WRSNs). However, a WCV in a WRSN encounters several challenges, collectively called the optimized charging problem. This problem involves a set of sensor nodes randomly distributed on the ground for which the WCV must determine an appropriate travel path to charge the sensor nodes. Because these sensor nodes have different workloads, they exhibit different energy consumption profiles over time. Resolving the above-mentioned problem requires the determination of the priority of charging the sensor nodes based on the order in which they are expected to die and subsequently finding the most efficient path to charge the sensor nodes such that sensor death is avoided for as long as possible. Furthermore, the most efficient placement of the charging point needs to be considered when planning the charging path. To address this, the proposed multinode virtual point-based charging scheme (MNVPCS) considers both the planning of an efficient charging and the best location for the charging point. Experimental results show that MNVPCS can improve the lifetime of the entire WRSN and substantially outperform other methods on this measure.

scholarly journals Research on the relative productivity of a drum mill type SAG 8.5×5.3

2020 ◽  
Vol 168 ◽  
pp. 00012
Author(s):  
Ivan Minin
Keyword(s):  
Energy Consumption ◽  
Control Parameters ◽  
Operational Mode ◽  
Operational Parameters ◽  
Technological Parameters ◽  
Expected Performance ◽  
Relative Productivity ◽  
Required Quality

The determination of the optimal operational mode of drum mills can be assessed by different criteria. The most important of them can be formulated as follows: “To be specified and established the values of the mill operational parameters regarding to which it is possible to be provided the user’s expected performance at the required quality of the final product and the same to be achieved at minimal energy consumption”. For the fulfillment of this condition, there has to be determined the laws of productivity variation, the final product quality and the energy consumption in function of the adequately chosen representative control parameters of the mill. There are obtained mathematical models, describing the most important technological parameters of the machine and are made conclusions about the factors influencing on them.

scholarly journals Annual Variation in Energy Consumption of an Electric Vehicle Used for Commuting

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4639 ◽  
Author(s):  
Anatole Desreveaux ◽  
Alain Bouscayrol ◽  
Elodie Castex ◽  
Rochdi Trigui ◽  
Eric Hittinger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Experimental Measurement ◽  
Air Conditioning ◽  
Annual Variation ◽  
Accurate Determination ◽  
Driving Cycle ◽  
Simulation Tool ◽  
Real Vehicle

The energy consumption of an electric vehicle is primarily due to the traction subsystem and the comfort subsystem. For a regular trip, the traction energy can be relatively constant but the comfort energy has variation depending on seasonal temperatures. In order to plan the annual charging operation of an eco-campus, a simulation tool is developed for an accurate determination of the consumption of an electric vehicle throughout year. The developed model has been validated by comparison with experimental measurement of a real vehicle on a real driving cycle. Different commuting trips are analyzed over a complete year. For the considered city in France (Lille), the comfort energy consumption has an overconsumption up to 33% in winter due to heating, and only 15% in summer due to air conditioning. The urban commuting driving cycle is more affected by the comfort subsystem than extra-urban trips.

Determination of Optimal Temperature for Defect-Free Casting of Aluminium in the LP-LFC Process

2011 ◽  
Vol 101-102 ◽  
pp. 934-937
Author(s):  
Ji Qiang Li ◽  
Zhong Zhao ◽  
Zi Tian Fan ◽  
Zhi Xin Jia ◽  
Wen Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Aluminium Alloys ◽  
Low Pressure ◽  
Experimental Results ◽  
Metal Temperature ◽  
Lost Foam Casting ◽  
Optimal Temperature ◽  
Pouring Temperature ◽  
Lost Foam

Fluidity of ZL101 aluminium alloys in the low-pressure lost foam casting (LP-LFC) process has been investigated by altering various temperature variables. The experimental results indicate that the LP-LFC process had fine fluidity, and the pouring temperature was lower than conventional lost foam casting. The effect of the metal temperature on the fluidity is marginal in the LP-LFC process. Excessive pouring temperature not only aggrandizes energy consumption but also deteriorates porosity defect. The success of casting cooling fin demonstrates the advantages of LP-EPC process in producing high-complicated castings.

DETERMINATION OF STRUCTURES IN CHIPS THAT ARE SENSITIVE TO COSMIC PARTICLES

2020 ◽  
Vol 12 (4) ◽  
pp. 73-77
Author(s):  
Andrey Savchenko ◽  
A. Kulay ◽  
I. Strukov ◽  
K. Chubur ◽  
Sergey Grechanyy
Keyword(s):  
Energy Consumption ◽  
Integrated Circuits ◽  
Scaling Effects ◽  
The Stability ◽  
Main Effects

The article considers the influence of scaling effects on the stability of integrated circuits (IC) under the influence of cosmic particles. There are two directions of scaling: reduction of topological dimensions of IC elements and optimization of energy consumption due to design and technological solutions. The paper analyzes the main effects (SEU, SEL, SEHE, SEGR and MBU) on the sensitivity of the IC to single events (SE)

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