Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.4K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.4K
Gravitational Potential Energy for Extended Objects01:07

Gravitational Potential Energy for Extended Objects

1.3K
Consider a system comprising several point masses. The coordinates of the center of mass for this system can be expressed as the summation of the product of each mass and its position vector divided by the total mass:
1.3K
Potential-Energy Criterion for Equilibrium01:16

Potential-Energy Criterion for Equilibrium

518
Potential energy or potential function plays an essential role in determining the stability of a mechanical system. If a system is subjected to both gravitational and elastic forces, the potential function of the system can be expressed as the algebraic sum of gravitational and elastic potential energy. If the system is in equilibrium and is displaced by a small amount, then the work done on the system equals the negative of the change in the system's potential energy from the initial to...
518
Potential Energy due to Gravitation01:27

Potential Energy due to Gravitation

5.4K
Since gravitational force is a conservative force, the amount of work done to move an object between two points in the gravitational field in which it resides is independent of the path taken. Thus, similar to the gravitational field, a gravitational potential energy function can be defined, which depends only on spatial coordinates.
Consider a mass gravitationally bound to another object. For example, the Earth is gravitationally bound to the Sun’s gravitational field. The potential...
5.4K
Energy Line and Hydraulic Gradient Line01:27

Energy Line and Hydraulic Gradient Line

663
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:
663
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

622
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
622

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Corrigendum "Hybrid optimization method for optimal site selection and sizing of a hybrid photovoltaic water pumping/diesel/battery system" [Heliyon Volume 11, Issue 1, January 2025, Article e40692].

Heliyon·2025
Same author

Hybrid optimization method for optimal site selection and sizing of a hybrid photovoltaic water pumping/diesel/battery system.

Heliyon·2025
Same author

Multi-objective optimization of the hybrid photovoltaic-battery-diesel-desalination system based on multi-type of desalination unit.

Environmental science and pollution research international·2024
Same author

Impact of the noble gas system NEX48 in Niger on the radioxenon global network coverage for the International Monitoring System of the comprehensive nuclear-test-ban treaty.

Journal of environmental radioactivity·2022
Same author

An investigation on the <sup>133</sup>Xe global network coverage for the International Monitoring System of the Comprehensive Nuclear-Test-Ban Treaty.

Journal of environmental radioactivity·2021
Same author

Application of Artificial Neural Networks for Producing an Estimation of High-Density Polyethylene.

Polymers·2020

Related Experiment Video

Updated: Jun 1, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

Multi-objective optimization of hybrid energy systems using gravitational search algorithm.

Sayyed Mostafa Mahmoudi1, Akbar Maleki2, Dariush Rezaei Ochbelagh1

  • 1Department of Energy Engineering & Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Scientific Reports
|January 20, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel optimization approach for hybrid renewable energy systems (HRES), enhancing sustainability and affordability. The Gravitational Search Algorithm (GSA) optimizes configurations for reduced costs and environmental impact.

Keywords:
Carbon taxGravitational search algorithmHybrid renewable energy systemMulti-objective optimizationSustainable energy

More Related Videos

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

1.4K
Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
07:58

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

5.8K

Related Experiment Videos

Last Updated: Jun 1, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
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

1.4K
Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
07:58

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

5.8K

Area of Science:

  • Energy Systems Engineering
  • Environmental Science
  • Optimization Algorithms

Background:

  • Growing demand for energy in remote communities and environmental concerns necessitate efficient Hybrid Renewable Energy Systems (HRES).
  • Selecting optimal HRES considering economic, environmental, reliability, and sustainability factors remains a significant challenge.

Purpose of the Study:

  • To develop a novel multi-objective optimization approach for HRES using the Gravitational Search Algorithm (GSA).
  • To minimize power supply loss, reduce total costs, increase renewable energy fraction, and lower CO2 emissions.
  • To evaluate the impact of carbon tax policies on HRES economic performance and environmental damage.

Main Methods:

  • Implementation of a multi-objective optimization framework combining the Gravitational Search Algorithm (GSA) with non-dominated sorting techniques.
  • Analysis of four key objectives: minimizing loss of power supply probability, reducing total costs, increasing renewable energy fraction, and lowering CO2 emissions.
  • Inclusion of carbon tax sensitivity analysis and examination of CO2-induced damage to human health and ecosystems.

Main Results:

  • The proposed GSA-based optimization framework demonstrated superior Pareto front diversity and convergence compared to established methods (MOPSO, NSGA-II).
  • The optimal HRES configuration achieved an 18.4% increase in renewable energy share and a 14.2% reduction in ecosystem and human health damage.
  • A 20% increase in carbon tax resulted in a 3% rise in system costs, indicating a trade-off between environmental policy and economic factors.

Conclusions:

  • The GSA-based multi-objective optimization approach effectively identifies optimal HRES configurations balancing economic and environmental goals.
  • Integrating carbon tax policies with optimization strategies can significantly enhance the sustainability and affordability of energy systems.
  • The study highlights the potential for advanced optimization techniques to address complex energy challenges in remote communities.