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Optimal design of hydrogen‐blended natural gas pipeline network considering separation systems
AIChE Journal ( IF 3.5 ) Pub Date : 2024-11-22 , DOI: 10.1002/aic.18648 Shiya Gu, Yunhai Bai, Yachao Dong, Jian Du
AIChE Journal ( IF 3.5 ) Pub Date : 2024-11-22 , DOI: 10.1002/aic.18648 Shiya Gu, Yunhai Bai, Yachao Dong, Jian Du
Blending hydrogen into existing natural gas pipelines is considered the most feasible choice for long‐distance, large‐scale hydrogen transportation in the early stage of hydrogen economy development. To integrate the optimization of hydrogen‐blended natural gas pipeline network and subsequent hydrogen/natural gas separation process, this article presents a mixed‐integer nonlinear programming model, aiming to minimize the total annual project net cost. To tackle the computational complexity resulting from the large‐scale and nonlinear nature of practical design problems, a decomposition algorithm is tailored to the proposed model. Two case studies demonstrate that compared to stepwise model, the proposed pipeline‐separation integrated model offers economic benefits and practical value, incorporating separation processes and satisfying constraints of hydrogen demand, pressure and blending ratio requirements, which achieves an economically optimal design for both pipeline transportation and separation systems, and provides a viable solution for the broader application of hydrogen‐blended natural gas networks.
中文翻译:
考虑分离系统的氢气混合天然气管网优化设计
在氢经济发展初期,将氢气混入现有的天然气管道被认为是长距离、大规模氢气运输的最可行选择。为了整合氢混合天然气管网的优化和随后的氢/天然气分离过程,本文提出了一个混合整数非线性规划模型,旨在最小化年度项目总净成本。为了解决实际设计问题的大规模和非线性性质导致的计算复杂性,为所提出的模型定制了一种分解算法。两个案例研究表明,与逐步模型相比,所提出的管道分离集成模型具有经济效益和实用价值,结合了分离过程并满足氢气需求、压力和混合比要求的约束,实现了管道运输和分离系统的经济最优设计,并为氢气混合天然气网络的更广泛应用提供了可行的解决方案。
更新日期:2024-11-22
中文翻译:
考虑分离系统的氢气混合天然气管网优化设计
在氢经济发展初期,将氢气混入现有的天然气管道被认为是长距离、大规模氢气运输的最可行选择。为了整合氢混合天然气管网的优化和随后的氢/天然气分离过程,本文提出了一个混合整数非线性规划模型,旨在最小化年度项目总净成本。为了解决实际设计问题的大规模和非线性性质导致的计算复杂性,为所提出的模型定制了一种分解算法。两个案例研究表明,与逐步模型相比,所提出的管道分离集成模型具有经济效益和实用价值,结合了分离过程并满足氢气需求、压力和混合比要求的约束,实现了管道运输和分离系统的经济最优设计,并为氢气混合天然气网络的更广泛应用提供了可行的解决方案。