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

Conservation of Energy00:54

Conservation of Energy

9.6K
The terms 'conserved quantity' and 'conservation law' have specific scientific meanings in physics, which differ from the meanings associated with their everyday use. For example, in everyday usage, water could be conserved by not using it, by using less of it, or by re-using it. However, in scientific terms, a conserved quantity of a system stays constant, changes by a definite amount that is transferred to other systems, and is converted into other forms of that...
9.6K
Conservation of Energy: Application01:12

Conservation of Energy: Application

7.1K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
7.1K
Energy Basics02:27

Energy Basics

39.2K
Chemical reactions, such as those that occur when you light a match, involve changes in energy as well as matter.
39.2K
Energy00:58

Energy

13.9K
The universe is composed of matter in different forms, and all forms of matter contain energy.  The different forms of energy on Earth originate from the Sun—the ultimate energy source. For instance, plants capture light energy from the Sun, and through the process of photosynthesis, convert it into chemical energy. This stored energy from plants can be harnessed in many ways. For example, eating plant products as food provides energy for our body to function, and burning wood or...
13.9K
Application of the Energy Equation01:04

Application of the Energy Equation

1.1K
The application of the energy equation to centrifugal pumps is a fundamental principle in fluid dynamics and engineering. In this scenario, the energy equation is used to calculate the flow rate of a centrifugal pump responsible for transferring water between two reservoirs at different elevations. The pump applies an energy input of 7500 joules per second, and the vertical difference between the lower and upper reservoirs is 10 meters. Additionally, the head loss due to friction and other...
1.1K
Energy Diagrams - II01:10

Energy Diagrams - II

4.7K
Energy diagrams are important to understand the dynamics of a system. The topology of an energy diagram helps illustrate the equilibrium points of the system.
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The...
4.7K

You might also read

Related Articles

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

Sort by
Same author

EPSegNet: Lightweight Semantic Recalibration and Assembly for Efficient Polyp Segmentation.

IEEE transactions on neural networks and learning systems·2025
Same author

An Infrared Near-Sensor Reservoir Computing System Based on Large-Dynamic-Space Memristor with Tens of Thousands of States for Dynamic Gesture Perception.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2023
Same author

Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning.

IEEE transactions on medical imaging·2023
Same author

Effectiveness analysis of multiple epidemic prevention measures in the context of COVID-19 using the SVIRD model and ensemble Kalman filter.

Heliyon·2023
Same author

Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models.

IEEE journal of biomedical and health informatics·2022
Same author

PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation.

IEEE transactions on cybernetics·2022

Related Experiment Video

Updated: Sep 9, 2025

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

4.7K

AI may exacerbate the energy trilemma.

Shiyu Sheng1, Zebin Zhao1

  • 1Department of Management, Harbin Institute of Technology, Harbin, China.

Integrated Environmental Assessment and Management
|August 29, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) significantly strains the global energy trilemma, increasing demand and threatening security, equity, and sustainability. Addressing AI's energy impact requires inclusive governance for sustainable development.

Keywords:
AIenergy equityenergy securityenergy sustainability

More Related Videos

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
09:46

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization

Published on: May 19, 2019

8.2K
Evaluation of Integrated Anaerobic Digestion and Hydrothermal Carbonization for Bioenergy Production
07:34

Evaluation of Integrated Anaerobic Digestion and Hydrothermal Carbonization for Bioenergy Production

Published on: June 15, 2014

25.7K

Related Experiment Videos

Last Updated: Sep 9, 2025

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

4.7K
Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
09:46

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization

Published on: May 19, 2019

8.2K
Evaluation of Integrated Anaerobic Digestion and Hydrothermal Carbonization for Bioenergy Production
07:34

Evaluation of Integrated Anaerobic Digestion and Hydrothermal Carbonization for Bioenergy Production

Published on: June 15, 2014

25.7K

Area of Science:

  • Energy policy
  • Artificial intelligence
  • Sustainable development

Background:

  • The rapid expansion of artificial intelligence (AI) is creating unprecedented electricity demand.
  • Projected AI electricity consumption by 2030 could rival Japan's total annual energy use.
  • This surge exacerbates the global energy trilemma, impacting security, equity, and sustainability.

Purpose of the Study:

  • To analyze the multifaceted impacts of artificial intelligence on the global energy trilemma.
  • To highlight the threats posed by AI's escalating electricity demand to energy security, equity, and sustainability.
  • To underscore the necessity of integrating AI within sustainable development frameworks.

Main Methods:

  • Qualitative analysis of current trends in AI development and energy consumption.
  • Projection of future AI electricity demand based on existing growth rates.
  • Assessment of AI's socio-economic and environmental implications on energy systems.

Main Results:

  • AI's electricity demand growth outpaces grid infrastructure development, risking power crises and threatening energy security.
  • AI implementation deepens energy inequity, raising local prices and creating global imbalances in resource benefits and environmental burdens.
  • Short-term AI productivity gains are overshadowed by unsustainable energy consumption, challenging long-term energy sustainability.

Conclusions:

  • Realizing AI's potential for a green transition is contingent upon its integration into inclusive governance structures.
  • Aligning AI's trajectory with sustainable development goals is crucial for mitigating its negative energy impacts.
  • Proactive policy and governance frameworks are essential to balance AI advancement with global energy security, equity, and sustainability.