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相关概念视频

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
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Energy Line and Hydraulic Gradient Line01:27

Energy Line and Hydraulic Gradient Line

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Based on Bernoulli's equation, the energy line (EL) and hydraulic grade line (HGL) provide graphical representations of energy distribution in a fluid flow system. For steady, incompressible, inviscid flows, Bernoulli's equation is expressed as:
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Energy and Power Signals01:17

Energy and Power Signals

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In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
294
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

103
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
103
Secondary Distribution01:25

Secondary Distribution

87
Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
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Power and Energy01:12

Power and Energy

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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
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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全球可再生能源贸易网络:模式和决定因素

Lianyue Feng1, Bixia Chen2, Gang Wu3

  • 1School of International Business, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, China.

Environmental science and pollution research international
|January 31, 2024
PubMed
概括

全球可再生能源贸易网络在2000-2018年间扩大,显示出复杂的社区结构和关键的经济驱动力. 关键决定因素包括地理接近,经济因素和贸易协议,突出显示可再生能源市场的相互联系.

关键词:
在ERGM中,可以使用ERGM.可再生能源是可再生的能源.有关时间 TERGMGM贸易网络 贸易网络

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科学领域:

  • 国际经济学 国际经济学
  • 复杂网络分析 复杂网络分析
  • 可再生能源市场可再生能源市场

背景情况:

  • 全球可再生能源产品贸易对经济发展和国际关系至关重要.
  • 以前的研究主要集中在双边贸易上,在了解整个行业的贸易模式和演变方面存在差距.
  • 需要对全球可再生能源贸易网络 (GRETNs) 进行全面分析,以确定结构特征和影响因素.

研究的目的:

  • 从2000年到2018年建立和分析全球可再生能源贸易网络 (GRETNs).
  • 探索GRETN内部不断变化的模式,社区结构和核心经济.
  • 确定塑造全球可再生能源产品贸易的关键决定因素.

主要方法:

  • 利用双边贸易数据构建全球可再生能源贸易网络 (GRETNs).
  • 应用复杂网络分析,指数随机图模型 (ERGM) 和时间指数随机图模型 (TERGM) 进行模式探索.
  • 分析了网络扩张,社区结构,核心-外围动态以及贸易关系的决定因素.

主要成果:

  • 格雷特显示出显著的扩张和复杂的特征,包括小世界属性,互惠性,分类程度和出口量异质性.
  • 在GRETN中确定了四个不同的社区,随着时间的推移,其模式的动态波动.
  • 北美,欧洲和亚洲成为占主导地位的经济区域,美国,德国和中国成为中央贸易中心. 内生结构如互惠和结构嵌入是关键驱动因素.

结论:

  • 全球可再生能源贸易的特点是越来越多的互联互通,由特定的经济力量主导,并受到网络结构和外部因素的影响.
  • 地理接近,参与贸易组织 (APEC,WTO),相似的经济发展水平 (GDP,城市化),以及历史/政治联系显著预测贸易关系.
  • 这些发现强调了理解网络动态和社会经济因素对于未来可再生能源贸易政策和全球能源转型的重要性.