首页> 外文期刊>Journal of Cleaner Production >Future scenario of China's downstream oil supply chain: Low carbon- oriented optimization for the design of planned multi-product pipelines
【24h】

Future scenario of China's downstream oil supply chain: Low carbon- oriented optimization for the design of planned multi-product pipelines

机译:中国下游石油供应链的未来情况:计划多产品管道设计的低碳导向优化

获取原文
获取原文并翻译 | 示例
           

摘要

With the increasing demand of refined products and growing concern about carbon emissions, the planned multi-product pipelines, serving as the primary way of refined products transportation, should be designed reasonably, economically, and low carbon-oriented so that the sustainable and environmentally friendly production and the rational construction of downstream oil supply chain can be achieved. Aiming at this issue, a multi-objective mixed-integer linear programming (MILP) model is proposed to minimize the total economic costs and CO2 emission simultaneously. Various actual process and technical constraints including pipeline construction, pump stations layout, pipeline hydraulic and pumps configurations are considered in the model. Based on the augmented 8-constraint method, the conflicting objectives are dealt with and the Pareto front can be get. Finally, based on a predicted future scenario of regional refined products demand, the proposed model was successfully applied to a realword planned multi-product pipeline in China. Two cases are given to demonstrate the model's applicability and the influence of CO2 emission objective on the pipeline design scheme determination. Meanwhile, the trade-off between the two objectives was analyzed in detail. (C) 2019 Elsevier Ltd. All rights reserved.
机译:随着对成品油需求的增长和对碳排放量的日益关注,规划中的多产品管道(作为成品油运输的主要方式)应合理,经济,低碳化设计,以实现可持续发展和环境友好。生产和下游石油供应链的合理建设可以实现。针对此问题,提出了一种多目标混合整数线性规划(MILP)模型,以同时降低总经济成本和CO2排放量。模型中考虑了各种实际过程和技术约束,包括管道建设,泵站布局,管道液压和泵配置。基于增强的8约束方法,可以解决冲突的目标并获得帕累托前沿。最后,基于预测的未来地区成品油需求情景,该模型成功应用于中国的实物规划多产品管道。给出了两种情况,以证明该模型的适用性和CO2排放目标对管道设计方案确定的影响。同时,详细分析了两个目标之间的权衡。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号