Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

183
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.
183
Production Efficiency01:01

Production Efficiency

17.0K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
17.0K
Power Factor Correction01:20

Power Factor Correction

267
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
267
Power and Energy01:12

Power and Energy

1.1K
The power and energy delivered to an element are subjects of great significance in the field of electrical engineering. It is a well-known fact that a 100-watt light bulb emits more light than a 60-watt one. Therefore, power and energy calculations play a crucial role in the analysis of electrical circuits.
Power, defined as the time rate of expending or absorbing energy, is quantified in units called watts (W). The relation between power and energy is mathematically given as
1.1K
Power System Distribution01:25

Power System Distribution

317
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
317
Electrical Power01:07

Electrical Power

3.2K
Electric power is the product of current and voltage, represented in units of joules per second, or watts. For example, cars often have one or more auxiliary power outlets with which you can charge a cell phone or other electronic devices. These outlets may be rated at 20 amps and 12 volts, so that the circuit can deliver a maximum power of 240 watts. Consider a 25 Watt bulb and a 60 Watt bulb. The conversion of electrical energy produces heat and light, while the kinetic energy lost by the...
3.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Integrated Analysis of Pollution Characteristic and Ecotoxicological Effect Reveals the Fate of Lithium in Soil-Plant Systems: A Challenge to Global Sustainability.

Environmental science & technology·2024
Same author

Intelligentization helps the green and energy-saving transformation of power industry-evidence from substation engineering in China.

Scientific reports·2024
Same author

Carbon emissions of power transmission and transformation projects in the whole life cycle for smart sustainable energy systems.

Scientific reports·2024
Same author

Effective removal of brilliant green with magnetic barium phosphate composites: factor analysis and mechanism study.

Environmental science and pollution research international·2023
Same author

Deposition Process and Properties of Electroless Ni-P-Al<sub>2</sub>O<sub>3</sub> Composite Coatings on Magnesium Alloy.

Nanoscale research letters·2018
Same author

Differential time-dependent transcriptional changes in the osteoblast lineage in cortical bone associated with sclerostin antibody treatment in ovariectomized rats.

Bone reports·2018

相关实验视频

Updated: Sep 14, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K

为电力企业提供基于云计算的平台的优化和效益评估模型.

Xueli Yin1, Xuguang Zhang1, Luyao Pei1

  • 1Energy Development Research Institute, CSG.,, Guangzhou, 510663, People's Republic of China.

Scientific reports
|July 20, 2025
PubMed
概括

本研究介绍了针对电力行业的优化云计算模型,提高了效率并降低了成本. 它改善了数字化转型的资源利用和运营绩效.

关键词:
福利评估 福利评估云计算是一种云计算.模范机构 模范机构平台优化平台的优化电力企业 电力企业

更多相关视频

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.3K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

相关实验视频

Last Updated: Sep 14, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.3K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 运营研究 运营研究

背景情况:

  • 电力行业的数字化转型面临挑战,原因是云计算缺乏系统的优化和评估方法.
  • 现有的云解决方案往往缺乏针对电力企业的特定需求量身定制的机制.

研究的目的:

  • 为专门为电力企业设计的云计算平台开发一个集成的优化和效益评估模型.
  • 通过专注于资源调度,负载平衡和计算效率来解决当前云应用程序的局限性.

主要方法:

  • 一个包含路径规划,条件系数计算和负载调节的多维优化框架.
  • 一个改进的轻量级遗传算法与弹性资源配置相结合,以实现动态适应.
  • 集装箱化部署和智能编排,以实现高效运营.

主要成果:

  • 实现了46%的故障恢复时间减少和78%的高负载吞吐量改善.
  • 增加了近60%的资源利用率,降低了43%的月度运营成本.
  • 与传统模型相比,证明了优越的计算响应时间和故障耐受性.

结论:

  • 拟议的模型提供了一个可扩展的,集成的框架,用于优化和评估电力部门的云计算.
  • 为电力企业提供运营效率,成本控制和决策支持方面的重大改进.
  • 在能源行业建立智能云计算生态系统的定量基础.