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.
Authors
- Dayoung Oh (ORCID: https://orcid.org/0009-0004-0208-8066)
- Hyun-Min Yang
- Sungho Tae (ORCID: https://orcid.org/0000-0001-7847-3922)
- Chung-Won Lee (ORCID: https://orcid.org/0009-0007-1828-2068)
Institutions
- Hokkaido University (JP)
- Hanyang University (KR)
- Anyang University (KR)
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
Funders
- National Research Foundation of Korea