气候变化研究进展 ›› 2019, Vol. 15 ›› Issue (2): 197-205.doi: 10.12006/j.issn.1673-1719.2018.125

• 温室气体排放 • 上一篇    下一篇

港口集装箱作业设备改造的节能减排效益评估

陶学宗1,2,张秀芝1,陈继红1   

  1. 1 上海海事大学交通运输学院,上海 201306
    2 伦斯勒理工学院工程学院,特洛伊 12180,美国
  • 收稿日期:2018-09-14 修回日期:2018-11-12 出版日期:2019-03-30 发布日期:2019-03-30
  • 作者简介:陶学宗,男,讲师, xztao@shmtu.edu.cn
  • 基金资助:
    资助项目:国家自然科学基金项目(71603162,51879156);上海市自然科学基金项目(15ZR1420400);上海市浦江人才计划项目(17PJC053)

Evaluating the benefits of energy saving and emission reduction from port’s container handling equipment upgrades

Xue-Zong TAO1,2,Xiu-Zhi ZHANG1,Ji-Hong CHEN1   

  1. 1 College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
    2 School of Engineering, Rensselaer Polytechnic Institute, Troy 12180, USA
  • Received:2018-09-14 Revised:2018-11-12 Online:2019-03-30 Published:2019-03-30

摘要:

为提高评估结果的准确性,基于“作业活动-方式结构?能耗强度?排放因子”方法(ASIF),引入生命周期评价和费效分析理念,建立港口集装箱作业设备改造的节能减排效益评估模型,并以宁波舟山港为例进行实证研究。结果表明,宁波舟山港集装箱作业设备改造年均节能1.911万tce,减排6.175万t CO2,节省成本0.696亿元。忽略能源油井到油箱排放对CO2减排量影响较大,会使结果被低估8.65%或高估40.83%。不考虑设备改造成本对成本节省量影响很大(高估59.63%),但不考虑碳交易成本对其影响较小(低估2.30%)。节能量和CO2减排量受集装箱吞吐量影响较大,其弹性系数≥1;成本节省量受柴油价格变化影响最大,其弹性系数为2.73。研究成果可为合理评估绿色港口促进政策的节能减排效果提供技术支撑。

关键词: 绿色港口, 节能减排, ASIF方法, 作业设备改造, 能源生命周期

Abstract:

To improve the estimation accuracy, a set of models based on ASIF (activity-modal structure-energy intensity-emission factor) methodology were established to evaluate the benefits of energy saving and emissions reduction from container handling equipment upgrades at port terminals, by introducing the ideas of life cycle assessment and cost benefit analysis. Next, the Ningbo-Zhoushan Port was taken for case study. The results show that the container handling equipment upgrades at Ningbo-Zhoushan Port can save 19.11 thousand tons of coal equivalent, reduce 61.75 thousand of tons of carbon dioxide, and cut 69.6 millions Yuan RMB of annual average cost. In addition, neglecting energy’s well-to-wheel (WTT) emissions would significantly affect the accuracy of CO2 emissions reduction, with a 8.65% of underestimation or a 40.83% of overestimation. The cost savings would be considerably overestimated by 59.63% without equipment upgrades cost but slightly underestimated by 2.30% without carbon trading cost. Moreover, the potentials of energy saving and CO2 emissions reduction are greatly influenced by container throughput, and the corresponding elasticity coefficients are larger than or equal to 1, respectively. The maximum potential of cost saving results from diesel’s price change, with a elasticity coefficient of 2.73. Consequently, the findings could provide technical support for evaluating the effect of port greening policies on energy saving and emissions reduction.

Key words: Green port, Energy saving and emissions reduction, Activity-modal structure-energy intensity-emission factor (ASIF) methodology, Handling equipment upgrades, Energy life cycle

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