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东航浙江分公司后勤保障全流程践行绿色发展理念
Zhong Guo Min Hang Wang· 2025-06-26 08:53
Core Viewpoint - Eastern Airlines Zhejiang Branch is integrating green concepts into its logistics support processes through infrastructure renovation, equipment management, and vehicle optimization, aiming for energy conservation and emission reduction during the national energy-saving promotion week [1]. Group 1: Infrastructure Renovation - The company has implemented "green renovation" in the Ningbo Airport work area, replacing high-energy-consuming lights with LED energy-saving lights, resulting in an annual electricity saving of over 30% [2]. - The renovation of old wooden wardrobes involved only replacing damaged hardware, avoiding material waste and reducing wood consumption by 2.5 cubic meters, while construction waste decreased by 60% [2]. - 90% of the demolished building materials (doors, windows, pipelines, etc.) have been recycled, demonstrating the principle of "energy saving without compromising quality" [2]. Group 2: Equipment Management - A full-cycle green chain has been established for equipment management, focusing on "low energy consumption and high performance" in new equipment procurement, with an increasing proportion of new energy vehicles [2]. - The company has achieved over a 50% reduction in toner procurement through centralized and paperless office printing [2]. - The "idle equipment reuse" program has saved over 150,000 yuan annually by activating existing resources and extending equipment life through maintenance [2]. Group 3: Vehicle Management - The company has achieved a 30% replacement ratio of new energy vehicles in its fleet, reducing carbon emissions by 32 tons per vehicle annually and saving approximately 60,000 yuan in energy costs [3]. - From 2021 to present, the dynamic optimization of driving routes has led to a cumulative reduction of about 20 tons of carbon emissions [3]. - The "Hangzhou-Ningbo commuting reservation system" has saved over 600,000 yuan in fuel costs through refined vehicle resource allocation and bus route optimization [3].