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Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

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...
Power and Energy01:12

Power and Energy

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
Energy Line and Hydraulic Gradient Line01:27

Energy Line and Hydraulic Gradient Line

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:
Energy Losses in Transformers01:21

Energy Losses in Transformers

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 copper windings...
Energy and Power Signals01:17

Energy and Power Signals

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:
Energy Budgets and Reproductive Strategies00:51

Energy Budgets and Reproductive Strategies

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 reproduce only once in their lifetime, often investing most available resources into that single reproductive event. Iteroparous species, by contrast, reproduce multiple times over their lifetimes, typically allocating fewer resources to any single...

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Related Experiment Videos

Deep learning & PSO-based optimisation of data centre energy costs using renewable sources.

Fawad Azeem1,2, Husnain Nazir3, Jehangir Arshad4

  • 1Department of Electrical Engineering, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan. fawadazeem@cuilahore.edu.pk.

Scientific Reports
|July 4, 2026
PubMed
Summary
This summary is machine-generated.

This study proposes an energy management framework for data centers using solar and grid power. It employs reinforcement learning and optimization algorithms to ensure reliable energy supply and maximize renewable energy use, reducing grid impact.

Keywords:
Cost OptimizationData CentreDeep LearningPSO OptimisationRenewable Sources

Related Experiment Videos

Area of Science:

  • Computer Science
  • Renewable Energy Systems
  • Data Center Management

Background:

  • Data centers consume significant energy, impacting national grids.
  • Renewable energy sources like solar power offer a sustainable alternative but face intermittency challenges.
  • Ensuring Service-Level Objectives (SLOs) in data centers is crucial for operational reliability.

Purpose of the Study:

  • To develop an energy management framework for data centers integrating solar and grid energy.
  • To optimize the use of renewable energy sources while meeting data center demands and SLOs.
  • To mitigate the impact of data centers on national energy deficits and environmental degradation.

Main Methods:

  • Proposed an energy management framework assigning jobs to data center zones based on SLOs.
  • Utilized the Deep Q-Network (DQN) algorithm for mapping renewable energy sources to data center zones, addressing intermittency.
  • Applied the Particle Swarm Optimisation (PSO) algorithm to maximize renewable power utilization.

Main Results:

  • Developed an effective strategy using DQN to map renewable sources to data center zones, ensuring maximum uptime.
  • Optimized renewable energy usage with PSO to meet data center energy demands.
  • Demonstrated a reduction in the energy utilization impact of data centers on the national grid.

Conclusions:

  • The proposed framework enhances data center energy management by integrating renewable sources effectively.
  • The study highlights the potential for data centers to act as energy consumers from geo-distributed renewable sources, particularly in Pakistan.
  • Implementing this framework can lead to reduced environmental degradation and economic benefits through increased renewable energy adoption.