Assessing the feasibility and environmental benefits of electrifying construction machinery in Beijing, China
Year: 2025
Type: article
Abstract: • Developed a construction machinery electrification feasibility assessment framework base on DEA–AHP. • Technical efficiency gap between electric and fuel-oil machinery is small by DEA. • Economic cost is a significant challenge to construction machinery electrification. • Electrification of lifting platform and forklift is the most feasible at this stage. Oil-fired construction machinery (OCM) is a major source of urban air pollutants and CO 2 emissions, and electrification is a crucial pathway for improving air quality and achieving China's dual carbon goals; however, its feasibility has not been fully explored. This study uses data envelopment analysis and the analytic hierarchy process to establish a development potential index, covering technical efficiency, economic cost, application scenarios, and charging time and range, with an empirical analysis conducted in Beijing. The findings indicated the high feasibility of replacing OCM with electric alternatives, especially within the low-power range. Based on 2023 registered coding data, it is projected that by 2030, electrification could reduce regional average concentrations of CO, NO x , PM 2.5 and VOCs by 12.2 % to 56.4 % and reduce CO 2 by 11.7 % to 56.9 %. Owing to economic considerations, small- and medium-sized machinery are particularly feasible for electrification. Key recommendations include prioritizing the electrification of forklifts, lifting platforms, and small-sized machinery in high-emission areas, particularly in central urban districts. Policies such as carbon taxes, carbon markets, and performance grading systems are suggested to incentivize electrification, along with expanding high-emission restriction zones and improving energy infrastructure to support widespread electrification.
Authors: Huawei Yi, Yangyang Cui, Han Li, Guanghan Huang, Kaiyun Liu, Linzhen Qu, Jing Yan, Lei Nie, Yifeng Xue
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,000
Awards: G373799366, G472257388
OpenAlex ID: W4409004456
