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Related Concept Videos

Energy Losses in Transformers01:21

Energy Losses in Transformers

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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.
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Differential relays are used to protect generators, buses, and transformers by comparing electrical quantities at different points. When a fault occurs, the difference in current between the two points triggers the relay to operate, opening the circuit breaker. Under normal conditions, the current entering (i1) and leaving (i2) a generator are equal. When a fault occurs, however, these currents become unequal, and the difference current flows in the relay operating coil, causing the relay to...
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Distribution Reliability and Automation01:25

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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...
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Secondary Distribution01:25

Secondary Distribution

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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.
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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
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Updated: May 21, 2025

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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Mitigating energy risk through energy sources diversification.

Arusha Cooray1, Muhammad Shahbaz2, Bekhzod Kuziboev3

  • 1College of Business, Law and Governance, James Cook University, Townsville, Australia.

Journal of Environmental Management
|March 18, 2025
PubMed
Summary
This summary is machine-generated.

Energy diversity significantly reduces energy risk, especially in developed economies. Effective governance and spending also lower risk, while population density increases it.

Keywords:
Energy diversityEnergy riskNon-linearity

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Area of Science:

  • Energy Economics
  • Environmental Policy
  • Econometrics

Background:

  • Energy risk poses a significant challenge to global economic stability.
  • Understanding factors that mitigate energy risk is crucial for sustainable development.
  • Energy diversity is increasingly recognized as a potential risk-reduction strategy.

Purpose of the Study:

  • To assess the impact of energy diversity on energy risk across 64 countries from 2000-2018.
  • To investigate the role of economic development, governance, and population density in energy risk.
  • To determine the conditional effectiveness of energy diversification strategies.

Main Methods:

  • Panel threshold regression
  • Method of Moments of Quantile Regression (MMQR)
  • Partially linear functional-coefficient (PLFC) panel models
  • Instrumental variable (IV) estimation

Main Results:

  • Energy diversity significantly reduces energy risk.
  • The effectiveness of energy diversification is contingent upon a country's economic development.
  • Efficient governance and government expenditures are linked to reduced energy risk.
  • Increased population density correlates with higher energy risk.

Conclusions:

  • Energy diversification is a key strategy for mitigating energy risk, particularly in economically advanced nations.
  • Policy interventions focusing on governance and public spending can enhance energy security.
  • Population density presents a challenge that requires careful energy risk management.