A Comprehensive Life Cycle Carbon Footprint Assessment Model for Electric Power Material Warehouses

Yongjun Luo, Xinyi Tang (), Lei Geng, Xiang Yao, Feihong Li, Xudong Li and Qingrui Wang ()
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Yongjun Luo: Jiangsu Anfang Power Technology Co., Ltd., Taizhou 225300, China
Xinyi Tang: School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Lei Geng: State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210018, China
Xiang Yao: Yangzhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Yangzhou 225002, China
Feihong Li: China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430074, China
Xudong Li: School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Qingrui Wang: School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2024, vol. 17, issue 24, 1-13

Abstract: Electric power material warehouses are critical to optimizing power grid supply chains and reducing carbon emissions, aiding the power sector’s decarbonization and climate goals. Nevertheless, to our knowledge, there are no comprehensive assessments of the life cycle carbon emissions associated with storage warehouses, so the emission reduction potential of the ever-increasing number of automated technologies is still unknown. This study presents an extensive life cycle carbon footprint assessment model tailored for electric power material warehouses, and it encompasses both traditional and automated frameworks. Utilizing a process-based life cycle assessment (LCA) methodology, carbon emissions across five distinct stages are examined: storage buildings and facilities, loading and unloading, transportation, packaging, and information management systems. For this purpose, warehouses in Jiangsu Province, China, are employed as a case study. The results show that automating warehouses can achieve a reduction in total carbon emissions of 42.85% compared with traditional warehouses, with total life cycle emissions of 39,531.26 tCO 2 , and the transportation stage is identified as the predominant contributor. This research not only offers actionable recommendations for strategies, including renewable energy integration, intelligent control systems, and standardized packaging protocols, but also establishes a framework for future investigations of refining carbon accounting methodologies—particularly in underexplored domains such as packaging.

Keywords: carbon footprint; life cycle assessment; electric power material warehouse; automated warehouse (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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