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Assessment of CO_2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models

机译:使用能源环境模型评估韩国石油精炼行业的CO_2排放量及其减排潜力

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摘要

We assessed potential future CO_2 reduction in the Korean petroleum refining industry by investigating five new technologies for energy savings and CO_2 mitigation using a hybrid SD-LEAP model: crude oil distillation units (CDU), vacuum distillation units (VDU), light gas-oil hydro-desulfurization units (LGO HDS), and the vacuum residue hydro-desulfurization (VR HDS) process. The current and future demand for refining industry products in Korea was estimated using the SD model. The required crude oil input amounts are expected to increase from 139 million tons in 2008 to 154 million tons in 2030 in the baseline scenario. The current and future productivity of the petroleum refining industry was predicted, and this prediction was substituted into the LEAP model which analyzed energy consumption and CO_2 emissions from the refining processes in the BAU scenario. We expect that new technology and alternative scenarios will reduce CO_2 emissions by 0.048% and 0.065% in the national and industrial sectors, respectively.
机译:我们通过研究使用混合SD-LEAP模型的五种节能和CO_2减排新技术,评估了韩国炼油业未来的潜在CO_2减少量:原油蒸馏装置(CDU),真空蒸馏装置(VDU),轻质汽油加氢脱硫装置(LGO HDS)和真空渣油加氢脱硫(VR HDS)工艺。使用SD模型估算了韩国当前和未来对精炼工业产品的需求。在基准情景下,所需的原油投入量预计将从2008年的1.39亿吨增加到2030年的1.54亿吨。对石油精炼行业当前和未来的生产率进行了预测,并将该预测代入了LEAP模型,该模型分析了BAU情景中炼油过程的能耗和CO_2排放。我们预计,新技术和替代方案将在国家和工业部门分别减少0.048%和0.065%的CO_2排放。

著录项

  • 来源
    《Energy》 |2010年第6期|P.2419-2429|共11页
  • 作者单位

    Department of Chemical Engineering, Yonsei University, 134, Shinchon dong, Seodaemun ku, Seoul, Republic of Korea;

    Technical Research Laboratories, POSCO, 1 Koedong-dong, Nam-ku, Pohang, Kyungbuk 790-785, Republic of Korea;

    School of Business, Kwangwoon University, 447-1, Wolgye-Dong, Nowon-Gu, Seoul, Republic of Korea;

    rnDepartment of Chemical Engineering, Yonsei University, 134, Shinchon dong, Seodaemun ku, Seoul, Republic of Korea;

    rnDepartment of Chemical Engineering, Yonsei University, 134, Shinchon dong, Seodaemun ku, Seoul, Republic of Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CO_2 emission; petroleum refining industry; hybrid SD-LEAP model;

    机译:CO_2排放;炼油业;混合SD-LEAP模型;

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