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Related Concept Videos

Sugars as Energy Storage Molecules01:10

Sugars as Energy Storage Molecules

Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
Sugars as Energy Storage Molecules01:10

Sugars as Energy Storage Molecules

Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
Fats as Energy Storage Molecules01:06

Fats as Energy Storage Molecules

Triglycerides are a form of long-term energy storage molecules. They are made of glycerol and three fatty acids. To obtain energy from fat, triglycerides must first be broken down by hydrolysis into their two principal components, fatty acids and glycerol. This process, called lipolysis, takes place in the cytoplasm. The resulting fatty acids are oxidized by β-oxidation into acetyl-CoA, which is used by the Krebs cycle. The glycerol that is released from triglycerides after lipolysis directly...
Fats as Energy Storage Molecules01:06

Fats as Energy Storage Molecules

Triglycerides are a form of long-term energy storage molecules. They are made of glycerol and three fatty acids. To obtain energy from fat, triglycerides must first be broken down by hydrolysis into their two principal components, fatty acids and glycerol. This process, called lipolysis, takes place in the cytoplasm. The resulting fatty acids are oxidized by β-oxidation into acetyl-CoA, which is used by the Krebs cycle. The glycerol that is released from triglycerides after lipolysis directly...
ATP Energy Storage and Release01:31

ATP Energy Storage and Release

ATP is a highly unstable molecule. Unless quickly used to perform work, ATP spontaneously dissociates into ADP and inorganic phosphate (Pi), and the free energy released during this process is lost as heat. The energy released by ATP hydrolysis is used to perform work inside the cell and depends on a strategy called energy coupling. Cells couple the exergonic reaction of ATP hydrolysis with endergonic reactions, allowing them to proceed.
One example of energy coupling using ATP involves a...
ATP Energy Storage and Release01:31

ATP Energy Storage and Release

ATP is a highly unstable molecule. Unless quickly used to perform work, ATP spontaneously dissociates into ADP and inorganic phosphate (Pi), and the free energy released during this process is lost as heat. The energy released by ATP hydrolysis is used to perform work inside the cell and depends on a strategy called energy coupling. Cells couple the exergonic reaction of ATP hydrolysis with endergonic reactions, allowing them to proceed.
One example of energy coupling using ATP involves a...

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Related Experiment Video

Updated: Jul 3, 2026

Extending the Lifespan of Soluble Lead Flow Batteries with a Sodium Acetate Additive
08:35

Extending the Lifespan of Soluble Lead Flow Batteries with a Sodium Acetate Additive

Published on: January 7, 2019

Deployment pathways for long-duration energy storage.

Todd Levin1, W Neal Mann1, Jonghwan Kwon1

  • 1Energy Systems and Infrastructure Assessment Division, Argonne National Laboratory, Lemont, IL, USA.

Iscience
|July 2, 2026
PubMed
Summary
This summary is machine-generated.

Low-cost long-duration energy storage (LDES) can significantly cut power system costs and generation investments. Optimal LDES deployment depends on the generation mix and requires accurate temporal modeling for accurate value assessment.

Keywords:
economicsenergy storageenergy systems

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Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
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Published on: March 7, 2022

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Last Updated: Jul 3, 2026

Extending the Lifespan of Soluble Lead Flow Batteries with a Sodium Acetate Additive
08:35

Extending the Lifespan of Soluble Lead Flow Batteries with a Sodium Acetate Additive

Published on: January 7, 2019

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

Area of Science:

  • Energy Systems Analysis
  • Power Grid Optimization
  • Renewable Energy Integration

Background:

  • The transition to renewable energy necessitates advanced energy storage solutions.
  • Understanding the economic viability and optimal deployment of long-duration energy storage (LDES) is crucial for grid modernization.

Purpose of the Study:

  • To assess the impact of varying generation portfolios and technology costs on optimal LDES investments in the continental US.
  • To determine the cost thresholds for substantial LDES deployment and analyze the influence of system composition on storage duration investments.

Main Methods:

  • Utilized a least-cost generation expansion model for the continental United States.
  • Simulated 8,760 hours of chronological operations for the target year 2040 across 369 capacity expansion scenarios.
  • Conducted regression analysis to identify correlations between LDES deployment and system generation characteristics.

Main Results:

  • Substantial LDES deployment is observed when 24-hour storage costs reach $38/kWh and 100-hour storage costs reach $14/kWh.
  • The optimal distribution of LDES investments across different durations is highly sensitive to the existing generation portfolio.
  • Accurate, high-fidelity temporal representation in models is essential for capturing the true value of LDES.

Conclusions:

  • Cost-effective LDES technologies offer significant potential to reduce overall system costs and generation investment requirements.
  • LDES deployment is positively correlated with the share of wind and solar power and negatively correlated with peaking and baseload generation.
  • Future grid expansion planning must incorporate detailed temporal dynamics to effectively leverage LDES benefits.