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《城市交通》杂志
2025年 第5期
基于设备能耗数据的港口碳排放测算及评估——以天津港为例
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文章编号: 1672-5328(2025)05-0044-07

尉建南1,肖颖2,何枫鸣1,郑刘杰1,赵树明1,万涛1
(1. 天津市城市规划设计研究总院有限公司,天津300190;2.天津丞明咨询有限公司,天津300456)

摘要: 海运作为最重要的运输方式之一,碳排放量超过10 亿t·a-1,而港口碳排放比例占海运总量的 15%以上,减碳需求迫切。采用自下而上的测算方法,基于设备能耗数据,从港口运行全过程切 入,提出涵盖港口陆地活动和船舶停泊两个运行阶段的碳排放测算方法,并以天津港为案例进行实 证分析。计算结果显示,2023 年天津港碳排放量为98.7 万t,其中船舶停泊碳排放占36.5%,柴油设 备为主要排放源。基于设备能耗数据的测算方法与燃料消耗直接计算方法的误差率在3%以内,验 证了方法的可靠性。最后指出,通过优化船舶调度、推广岸电使用(替代辅机发电)及运营优化(如多 式联运、智能物流)等措施可有效降低港口碳排放强度。

关键词: 碳排放;港口陆地活动;船舶停泊;设备能耗;碳排放因子;天津港

中图分类号: U491

文献标识码:A

Measurement and Assessment of Port Carbon Emissions Based on Equipment Energy Consumption Data: A Case Study of Tianjin Port

YU Jiannan1, XIAO Ying2, HE Fengming1, ZHENG Liujie1, ZHAO Shuming1,WAN Tao1
(1. Tianjin Urban Planning & Design Institute Co., Ltd., Tianjin 300190, China; 2. Tianjin Chengming Consulting Co., Ltd., Tianjin 300456, China)

Abstract: Maritime transportation, as one of the most critical modes of transportation, generates more than 1 billion metric tons of carbon emissions annually, with ports accounting for over 15% of the total and needing urgent carbon emissions reduction. This paper adopts a bottom-up estimation approach based on equipment energy consumption data and assessment of the entire port operation process. The proposed carbon emissions estimation method covers both port land-based activities and ship berthing operations. Using Tianjin Port as a case study, an empirical analysis is conducted and reveals that the port's carbon emissions in 2023 are 987,000 metric tons. Ship berthing accounts for 36.5% of total carbon emissions and diesel- powered equipment is identified as the primary emission source. The discrepancy between this equipment- based method and direct fuel consumption calculations was within 3%, confirming the reliability of the proposed approach. Finally, the paper highlights that optimizing ship scheduling, promoting the use of shore power (as a substitute for auxiliary engine power generation), and enhancing operations (e.g., multimodal transportation and smart logistics) can effectively reduce the carbon emissions intensity of ports.

Keywords: carbon emissions; port land- based activities; ship berthing; equipment energy consumption; emission factor; Tianjin Port