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Distributed Loads01:19

Distributed Loads

529
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
529
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Conservation of AC Power01:15

Conservation of AC Power

332
The principle of power preservation is applicable to both ac and dc circuits. This principle, when applied to AC power, asserts that the complex, real, and reactive powers produced by the source are equal to the total complex, real, and reactive powers absorbed by the loads. When two load impedances are connected in parallel to an ac source V, the complex power provided by the source can be calculated using the relation
332
Energy Losses in Transformers01:21

Energy Losses in Transformers

862
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
862
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

107
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
107
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

8.9K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
8.9K

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相关实验视频

Updated: Jun 24, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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E2SVM:在云数据中心的电效SLA意识的虚拟机整合方法.

Vaneet Kumar1, Aleem Ali1, Payal Mittal2

  • 1Department of Computer Science and Engineering, Chandigarh University, Gharuan, India.

PloS one
|June 10, 2024
PubMed
概括

本研究介绍了云数据中心虚拟机 (VM) 整合的新算法. 它通过智能选择虚拟机进行迁移来降低能源消耗,并最大限度地减少违反服务水平协议 (SLA) 的情况.

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科学领域:

  • 计算机科学 计算机科学
  • 环境可持续性 环境可持续性
  • 云计算 云计算 云计算 云计算

背景情况:

  • 云数据中心消耗大量能源,挑战环境可持续性.
  • 像虚拟机 (VM) 整合这样的能源管理解决方案可以降低性能并违反服务级别协议 (SLA).

研究的目的:

  • 提出一种新的VM整合算法,平衡能源效率和SLA遵守.
  • 解决 VM 选择和迁移中常规算法的局限性.

主要方法:

  • 开发了用于VM整合的E2SVM算法.
  • E2SVM从超载的服务器中选择具有高负载波动和最小资源使用的虚拟机.
  • 虚拟机被放置在正常加载的服务器上,使用稳定性指数,防止服务器使用不足.

主要成果:

  • 与最小迁移时间政策相比,最大能耗下降了12.9%.
  • 使用中等绝对偏差用于超载检测,观察到SLA违规减少了47%.

结论:

  • 拟议的E2SVM算法有效地减少了云数据中心的能源浪费.
  • 这种方法保持了较低的SLA违规,显示了对现实世界应用的希望.