Zobrazit v EDS

Operational optimization of hydrogen-blended natural gas pipeline networks based on the differential evolution algorithm.

Uloženo v:
Podrobná bibliografie
Název: Operational optimization of hydrogen-blended natural gas pipeline networks based on the differential evolution algorithm.
Autoři: Yang, Yi
Zdroj: AIP Advances; Feb2026, Vol. 16 Issue 2, p1-13, 13p
Témata: NATURAL gas pipelines, DIFFERENTIAL evolution, PROCESS optimization, ENERGY consumption, MULTI-objective optimization
Abstrakt: Blending hydrogen into natural gas pipelines is an effective and economical method for long-distance, large-scale hydrogen transportation. Current research on hydrogen-blended natural gas pipelines primarily focuses on hydraulic and thermal characteristics, while operational efficiency optimization has received less attention. Consequently, this study conducted the operational optimization of hydrogen-blended natural gas pipeline networks using the differential evolution algorithm. The optimization involved single-objective optimization aimed at minimizing compressor energy consumption, as well as multi-objective optimization that addresses both compressor energy consumption and throughput. For the single-objective optimization, the optimal operating scheme for the compressor can reduce energy consumption by around 40% across various hydrogen blending ratios. In the case of multi-objective optimization, maintaining the transportation task coefficients within the range of 0.55–0.6 ensures that the compressor operates within a safe and efficient region. Notably, when the transportation task coefficient is around 0.55, an inflection point emerges in the distribution of Pareto-optimal solutions. This point signifies an optimized design where both compressor power and throughput reach favorable conditions, marking a crucial operational sweet spot for efficient performance. This study provides valuable insights for optimizing hydrogen-blended natural gas pipelines. [ABSTRACT FROM AUTHOR]
Copyright of AIP Advances is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
Popis
Abstrakt:Blending hydrogen into natural gas pipelines is an effective and economical method for long-distance, large-scale hydrogen transportation. Current research on hydrogen-blended natural gas pipelines primarily focuses on hydraulic and thermal characteristics, while operational efficiency optimization has received less attention. Consequently, this study conducted the operational optimization of hydrogen-blended natural gas pipeline networks using the differential evolution algorithm. The optimization involved single-objective optimization aimed at minimizing compressor energy consumption, as well as multi-objective optimization that addresses both compressor energy consumption and throughput. For the single-objective optimization, the optimal operating scheme for the compressor can reduce energy consumption by around 40% across various hydrogen blending ratios. In the case of multi-objective optimization, maintaining the transportation task coefficients within the range of 0.55–0.6 ensures that the compressor operates within a safe and efficient region. Notably, when the transportation task coefficient is around 0.55, an inflection point emerges in the distribution of Pareto-optimal solutions. This point signifies an optimized design where both compressor power and throughput reach favorable conditions, marking a crucial operational sweet spot for efficient performance. This study provides valuable insights for optimizing hydrogen-blended natural gas pipelines. [ABSTRACT FROM AUTHOR]
ISSN:21583226
DOI:10.1063/5.0290498