优化向天然气网络注入绿色氢气:脱碳潜力及对服务质量指数的影响

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-10-16 DOI:10.1016/j.segan.2024.101543
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引用次数: 0

摘要

本文介绍了一个数学模型,旨在优化天然气输配网络的运行,其中考虑了在多个节点注入氢气的问题。该模型旨在优化氢气注入量,使压力、天然气流量和天然气质量指标(沃伯指数(WI)和高热值(HHV))保持在允许范围内。本研究还提出了与气体质量指数变化相关的最大允许氢气注入量。该模型应用于一个天然气网络的案例研究,包含四种不同的情况,并使用 Python 实现。案例研究的结果量化了网络中允许的最大氢气量、节省的天然气总量以及减少的二氧化碳排放量。最后,对注入氢气作为沃伯指数(WI)和高热值(HHV)限制松弛函数的敏感性进行了分析。
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Optimising green hydrogen injection into gas networks: Decarbonisation potential and influence on quality-of-service indexes
This paper introduces a mathematical model designed to optimise the operation of natural gas distribution networks, considering the injection of hydrogen in multiple nodes. The model is designed to optimise the quantity of hydrogen injected to maintain pressure, gas flows, and gas quality indexes (Wobbe index (WI) and higher heating value (HHV)) within admissible limits. This study also presents the maximum injection allowable of hydrogen correlated with the gas quality index variation. The model has been applied to a case study of a gas network with four distinct scenarios and implemented using Python. The findings of the case study quantify the maximum permitted volume of hydrogen in the network, the total savings in natural gas, and the reduction in carbon dioxide emissions. Lastly, a sensitivity analysis of injected hydrogen as a function of the Wobbe index (WI) and Higher Heating Value (HHV) limits relaxation.
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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.
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