The carbon footprint of machine tools and metal working machinery in U.S. manufacturing

Recent research suggests that one-third of the global supply of metals is used to produce machinery and industrial equipment (ME). ME production causes 8% of global greenhouse gas emissions. Yet, our understanding of how much different types of ME contribute is limited. While the energy use needed to operate machines usually enters life cycle assessments, the production of the machines is often neglected, mostly because data is lacking. Here we explore the use of detailed economic input-output data for the United States (USEEIO) to produce cradle-to-gate life cycle inventories for machinery for material handling and metalworking, machine tools, dies, fixtures, and industrial molds. The cradle-to-gate GHG emissions of the investigated machinery were 38 million tonnes CO 2 e (0.5% of US emissions), compared to 330 Mt for all ME. Materials contributed 46-63% to the carbon footprint of the ME in question, the production of electricity and fuels used in production processes other than materials production contributed 13-28%. Important uses of ME as capital products were in the manufacturing of vehicles, refining, and metal industries. Important uses as intermediate inputs were oil and gas production, mining, as well as manufacturing and commercial structures. This manuscript demonstrates the feasibility of using detailed input-output tables for life cycle inventory modelling of the production and use of ME.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2024.12.040
Citations
1
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The carbon footprint of machine tools and metal working machinery in U.S. manufacturing

Edgar G. Hertwich, Meng Jiang
1 citations
Procedia CIRP
Environmental Impact and Sustainability
0.80
article

The carbon footprint of machine tools and metal working machinery in U.S. manufacturing

Edgar G. Hertwich, Meng Jiang
article en
1 citations

Abstract

Recent research suggests that one-third of the global supply of metals is used to produce machinery and industrial equipment (ME). ME production causes 8% of global greenhouse gas emissions. Yet, our understanding of how much different types of ME contribute is limited. While the energy use needed to operate machines usually enters life cycle assessments, the production of the machines is often neglected, mostly because data is lacking. Here we explore the use of detailed economic input-output data for the United States (USEEIO) to produce cradle-to-gate life cycle inventories for machinery for material handling and metalworking, machine tools, dies, fixtures, and industrial molds. The cradle-to-gate GHG emissions of the investigated machinery were 38 million tonnes CO 2 e (0.5% of US emissions), compared to 330 Mt for all ME. Materials contributed 46-63% to the carbon footprint of the ME in question, the production of electricity and fuels used in production processes other than materials production contributed 13-28%. Important uses of ME as capital products were in the manufacturing of vehicles, refining, and metal industries. Important uses as intermediate inputs were oil and gas production, mining, as well as manufacturing and commercial structures. This manuscript demonstrates the feasibility of using detailed input-output tables for life cycle inventory modelling of the production and use of ME.

Procedia CIRPVol. 135
International Institute for Applied Systems Analysis (AT), Norwegian University of Science and Technology (NO)
HORIZON EUROPE Framework Programme
Decent work and economic growth
Openalex Percentile: Top 26%
Environmental Impact and Sustainability
0.80
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.

The carbon footprint of machine tools and metal working machinery in U.S. manufacturing — Edgar G. Hertwich, Meng Jiang · Procedia CIRP (2025) | TGRS Research Map | TGRS