现场二氧化碳供应物流的RTN模型——碳捕获与封存管理

IF 3.9 3区工程技术 Q2 ENGINEERING, CHEMICAL

Industrial & Engineering Chemistry Research Pub Date : 2025-01-20 DOI:10.1021/acs.iecr.4c0299110.1021/acs.iecr.4c02991

Joelle Guisso, Soumya Shikha, Alejandro Rodríguez-Martínez, Anna Robert and Ignacio E. Grossmann*,

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引用次数: 0

摘要

我们提出了一个混合整数线性规划（MILP）模型，用于碳捕获和储存（CCS）的海上库存路由（MIR）问题。该模型是使用最小化航行成本的资源任务网络（RTN）表示的扩展来制定的。所提出的模型可以容纳任意数量的船舶和排放者。离散时间模型考虑了相对于CO2负荷的准确任务持续时间。该模型可以生成每小时的库存概况和详细的调度，结果准确。我们展示了该模型在五个小尺度例子和一个大尺度现实生活实例上的计算性能。

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RTN Model for Supply Logistics of Carbon Dioxide in the Field Management for Carbon Capture and Storage

We present a mixed-integer linear programming (MILP) model for a maritime inventory routing (MIR) problem for carbon capture and storage (CCS). The model is formulated using an extension of the resource-task network (RTN) representation that minimizes sailing costs. The proposed model can accommodate any number of vessels and emitters. The discrete-time model considers accurate task durations relative to the load of CO₂. The model can generate an hourly inventory profile and detailed scheduling with accurate results. We show the computational performance of the model on five small-scale examples, and on one large-scale real life instance.

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来源期刊

Industrial & Engineering Chemistry Research 工程技术-工程：化工

CiteScore

7.40

自引率

7.10%

发文量

1467

审稿时长

2.8 months

期刊介绍： ndustrial & Engineering Chemistry, with variations in title and format, has been published since 1909 by the American Chemical Society. Industrial & Engineering Chemistry Research is a weekly publication that reports industrial and academic research in the broad fields of applied chemistry and chemical engineering with special focus on fundamentals, processes, and products.