评估 2025 年和 2030 年德国未来氢网络的可能网络状态

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-06-20 DOI:10.1016/j.segan.2024.101455
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引用次数: 0

摘要

根据德国输电系统运营商网络发展计划《天然气 2020》,本研究对 2025 年和 2030 年德国初始氢气网络中可能出现的未来天然气网络状态进行了深入分析。不仅对整体运输可行性进行了评估,还对压力、流量和速度方面可能的运行条件进行了评估。为此,为 2025 年和 2030 年的网络拓扑结构创建了两个数据集。根据收集到的生产/消费界限,采用启发式半随机提名生成方法,为这两年生成 100 个一致的稳态源-汇提名。作者采用所谓的提名-验证模型(MILP-公式)来解决由此产生的运输问题。在评估管道流速时,作者将这些解决方案与德国技术期刊上提出的极限流速假设相结合。分析表明,在流量和允许流速方面,所有生成的提名都是可行的。
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Evaluation of possible network states in the future German hydrogen network 2025 and 2030

This study provides insights into possible future gas network states in the initial German hydrogen network by 2025 and 2030, as per the German transmission system operators Network Development Plan Gas 2020. Not only is the overall transport feasibility assessed, but also possible operating conditions in terms of pressures, flows and velocities. To that end, two data sets for the network topology by 2025 and 2030 were created. A heuristic, semi-random nomination generation is employed to generate 100 consistent steady-state source–sink nominations for both years, based on collected production/consumption bounds. The authors employ a so-called nomination-validation model (MILP-formulation) for the solution of the resulting transport problem(s). For the evaluation of pipeline flow velocities, the authors combine those solutions with a hypothesis on limiting flow speeds suggested in a German technical journal. The analysis exhibits feasibility among all generated nominations with respect to flows and admissible velocities.

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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
期刊最新文献
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