Liquid pipeline network modeling with performance parameters sensitivity analysis due to its techno-commercial variables

IF 4.8 Q2 ENERGY & FUELS
Bharat Sharma , Sunil Kumar Khare
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引用次数: 0

Abstract

After analyzing existing pipeline-network design solutions in literature, the authors have developed a novel framework model that considers important technical, financial, and environmental factors such as terrain profile, thermal impact, dynamic pump efficiency, cost escalation, tariffs, project phasing, depreciation, and carbon emissions. This comprehensive model not only prioritizes cost optimization for performance measurement but also takes into account tariffs and carbon emissions. To validate the model, the authors conduct a case study on a China multiproduct pipeline and perform sensitivity analysis. The technical model is accurate to 1.1%, except for upstream pressure at the end receiving station. Sensitivity analysis reveals that incorrect judgment of elevation profile, volume escalation, and product temperature variables can render the outcome of pipeline design infeasible. Moreover, neglecting financial components, such as lines fill cost and tankage cost, can cause a variation of 23% in the performance parameters, leading to erroneous decision-making in Pipeline Network Configuration (PNC) design and operations. Lastly, the authors discuss the significance of considering tariff and carbon-emissions performance parameters during design optimization.

基于技术-商业变量的性能参数敏感性分析的液体管网建模
在分析了文献中现有的管网设计解决方案后,作者开发了一个新的框架模型,该模型考虑了重要的技术、财务和环境因素,如地形、热影响、动态泵效率、成本升级、关税、项目分期、折旧和碳排放。这种综合模型不仅优先考虑性能测量的成本优化,还考虑了关税和碳排放。为了验证该模型,作者对中国多产品管道进行了案例研究,并进行了敏感性分析。除末端接收站的上游压力外,技术模型的准确率为1.1%。敏感性分析表明,对高程剖面、体积增量和产品温度变量的错误判断可能会使管道设计的结果变得不可行。此外,忽视财务组成部分,如线路填充成本和储罐成本,可能会导致性能参数变化23%,导致管网配置(PNC)设计和运营中的错误决策。最后,作者讨论了在设计优化过程中考虑关税和碳排放性能参数的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.50
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