Sensitivity of Concrete Embodied Carbon Emissions to Cement Production and Material Transportation

The objective of this study is to assess the sensitivity of concrete’s embodied global warming potential (GWP) to life-cycle assessment (LCA) parameters. Specifically, the study investigates the concrete mixture development stages of an LCA dealing with materials extraction, transportation to the production facility, and mixing at the production facility. These same stages are used to estimate a concrete mixture’s environmental impacts within environmental product declarations (EPDs). This study explores the framework of a spring-and-dashpot model to represent the carbon emissions from concrete production. The spring-and-dashpot model is introduced and verified in this work. The model identifies the two parameters within an LCA that most affect the GWP of a concrete mixture. Using this framework, the study investigates the sensitivity of a concrete mixture’s carbon emissions to those two most influential parameters. This model was used to assess the uncertainty of model-, laboratory-, and field-based concrete mixture designs. The mechanical performance and durability of concrete mixtures from laboratory and field data sets were compared with their calculated concrete GWPs and displayed no correlation, even accounting for GWP’s uncertainty, suggesting that a strong and durable concrete can also be sustainable.

Authors

Institutions

Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2024-11-27
DOI
https://doi.org/10.1177/03611981241295711
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensitivity of Concrete Embodied Carbon Emissions to Cement Production and Material Transportation

Michelle A. Helsel, Amlan Mukherjee
Transportation Research Record Journal of the Transportation Research Board
Environmental Impact and Sustainability
article

Sensitivity of Concrete Embodied Carbon Emissions to Cement Production and Material Transportation

Michelle A. Helsel, Amlan Mukherjee
article en

Abstract

The objective of this study is to assess the sensitivity of concrete’s embodied global warming potential (GWP) to life-cycle assessment (LCA) parameters. Specifically, the study investigates the concrete mixture development stages of an LCA dealing with materials extraction, transportation to the production facility, and mixing at the production facility. These same stages are used to estimate a concrete mixture’s environmental impacts within environmental product declarations (EPDs). This study explores the framework of a spring-and-dashpot model to represent the carbon emissions from concrete production. The spring-and-dashpot model is introduced and verified in this work. The model identifies the two parameters within an LCA that most affect the GWP of a concrete mixture. Using this framework, the study investigates the sensitivity of a concrete mixture’s carbon emissions to those two most influential parameters. This model was used to assess the uncertainty of model-, laboratory-, and field-based concrete mixture designs. The mechanical performance and durability of concrete mixtures from laboratory and field data sets were compared with their calculated concrete GWPs and displayed no correlation, even accounting for GWP’s uncertainty, suggesting that a strong and durable concrete can also be sustainable.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(4)
Michigan Technological University (US)
Responsible consumption and production
Openalex Percentile: Top 81%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.