Estimating Carbon Emissions from Construction Equipment Fuel Consumption at Construction Sites

The planning-stage estimation of fuel-related carbon emissions from construction equipment is constrained by a mismatch between the detailed operational data required for high-resolution methods and the limited information available before construction begins. This study develops a transparent, deterministic framework that converts basic project information and bill of quantities (BOQ) data into equipment workloads, operating hours, fuel consumption, and fuel-related carbon emissions. Standardized productivity values from the 2025 Standard Production Unit System for Construction Works, hourly fuel-consumption rates from the 2025 Construction Equipment Cost Estimation Table, the IPCC fuel-combustion methodology, and an ecoinvent-based upstream fuel factor are integrated through process-level conversion rules. The methodological contribution lies in operationalizing these existing data sources as a traceable low-data estimation chain rather than introducing new productivity or emission factors. In a residential-building case study, earthwork and retaining works and reinforced concrete works accounted for most of the recorded diesel consumption. The predicted fuel-consumption intensity was 10.5 L/m2 compared with an actual value of 13.9 L/m2, while the excavator estimate showed a substantially larger equipment-level deviation. Analytical sensitivity analysis indicates that workload and fuel-rate assumptions affect estimates proportionally, whereas productivity assumptions have an inverse effect. The framework is therefore intended as a preliminary planning and screening tool; equipment-level calibration requires higher-resolution operating-hour and refueling records.

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Publication Details

Journal
Buildings
Published
2026-09-01
DOI
https://doi.org/10.3390/buildings16173478
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimating Carbon Emissions from Construction Equipment Fuel Consumption at Construction Sites

Dayoung Oh, Hyun-Min Yang, Sungho Tae, Chung-Won Lee
Buildings
Vehicle emissions and performance
article

Estimating Carbon Emissions from Construction Equipment Fuel Consumption at Construction Sites

Dayoung Oh, Hyun-Min Yang, Sungho Tae, Chung-Won Lee
article en

Abstract

The planning-stage estimation of fuel-related carbon emissions from construction equipment is constrained by a mismatch between the detailed operational data required for high-resolution methods and the limited information available before construction begins. This study develops a transparent, deterministic framework that converts basic project information and bill of quantities (BOQ) data into equipment workloads, operating hours, fuel consumption, and fuel-related carbon emissions. Standardized productivity values from the 2025 Standard Production Unit System for Construction Works, hourly fuel-consumption rates from the 2025 Construction Equipment Cost Estimation Table, the IPCC fuel-combustion methodology, and an ecoinvent-based upstream fuel factor are integrated through process-level conversion rules. The methodological contribution lies in operationalizing these existing data sources as a traceable low-data estimation chain rather than introducing new productivity or emission factors. In a residential-building case study, earthwork and retaining works and reinforced concrete works accounted for most of the recorded diesel consumption. The predicted fuel-consumption intensity was 10.5 L/m2 compared with an actual value of 13.9 L/m2, while the excavator estimate showed a substantially larger equipment-level deviation. Analytical sensitivity analysis indicates that workload and fuel-rate assumptions affect estimates proportionally, whereas productivity assumptions have an inverse effect. The framework is therefore intended as a preliminary planning and screening tool; equipment-level calibration requires higher-resolution operating-hour and refueling records.

BuildingsVol. 16(17)
Hokkaido University (JP), Hanyang University (KR), Anyang University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 18%
Vehicle emissions and performance
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