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Related Concept Videos

The Carbon Cycle01:14

The Carbon Cycle

Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.
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Gas Chromatography: Introduction

Gas chromatography (GC) is a technique for separating and analyzing volatile compounds in a sample. Its primary purpose is to identify and quantify components in complex mixtures, making it essential in fields such as environmental analysis, pharmaceuticals, and petrochemicals. GC is also called vapor-phase chromatography (VPC) or gas-liquid partition chromatography (GLPC).
In GC,  a sample is vaporized and mixed with an inert carrier gas (the mobile phase), which transports it through a column.
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Gas Chromatography–Mass Spectrometry (GC–MS)

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Alkanes undergo combustion in the presence of excess oxygen and high-temperature conditions to give carbon dioxide and water. A combustion reaction is the energy source in natural gas, liquified petroleum gas (LPG), fuel oil, gasoline, diesel fuel, and...
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
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Tracing U.S. Fuel Life-Cycle Greenhouse Gas Emissions in a Multisector Dynamics Model Using LC-GCAM.

Paul Wolfram1, Page Kyle1, Nawaf Nazir2

  • 1Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, Maryland 20740, United States.

Environmental Science & Technology
|June 10, 2026
PubMed
Summary
This summary is machine-generated.

A new tool, LC-GCAM, estimates life-cycle greenhouse gas emissions for fuel pathways in the Global Change Analysis Model (GCAM). This flexible approach supports robust energy policy analysis by integrating life-cycle assessment with broader energy economy models.

Keywords:
decarbonizationfreight transportintegrated assessment modelinglife-cycle assessmentscenario analysis

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Area of Science:

  • Energy Policy and Environmental Science
  • Computational Modeling and Simulation

Background:

  • Model-based analysis of fuel pathways is crucial for effective energy and environmental policies.
  • Multisector dynamics models (e.g., GCAM) and life-cycle assessment models (e.g., GREET) have distinct strengths but integrating them is complex.
  • Existing hybrid approaches face challenges due to time constraints and inconsistencies in system boundaries and technology definitions.

Purpose of the Study:

  • To introduce LC-GCAM, a novel tool for estimating life-cycle greenhouse gas emissions and primary energy use for fuel pathways within the GCAM framework.
  • To enable a more integrated and efficient approach to life-cycle assessment for energy policy analysis.
  • To explore uncertainties in the life-cycle performance of future fuel options in the U.S. freight sector.

Main Methods:

  • Development of LC-GCAM, a tool integrating life-cycle assessment capabilities into the Global Change Analysis Model (GCAM).
  • Application of LC-GCAM to 300 scenarios focusing on the U.S. freight sector.
  • Validation of LC-GCAM by comparing its results with the GREET model for nine fuel types in a reference scenario.

Main Results:

  • LC-GCAM successfully estimates life-cycle greenhouse gas emissions and primary energy use for GCAM fuel pathways.
  • When modestly aligned, LC-GCAM and GREET estimates show agreement within 13% aggregate absolute-sum error.
  • Discrepancies between LC-GCAM and GREET can increase for pathways with significant land use change emissions.

Conclusions:

  • LC-GCAM provides a flexible and efficient method for generating life-cycle metrics within an integrated modeling framework.
  • The tool supports robust policy analysis by addressing a wide range of interacting energy system uncertainties.
  • LC-GCAM facilitates the combination of detailed life-cycle assessment with broader energy-economy modeling.