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Electrical Engineering and Systems Science > Systems and Control

arXiv:2509.00175 (eess)
[Submitted on 29 Aug 2025 ]

Title: Spatio-Temporal Life Cycle Analysis of Electrolytic H2 Production in Australia under Time-Varying CO2 Management Schemes

Title: 澳大利亚在动态二氧化碳管理方案下电解制氢的时空生命周期分析

Authors:Niraj Gohil, Alexander Franke, Nawshad Haque, Amro M. Farid
Abstract: The transition to sustainable energy is critical for addressing global climate change. Hydrogen production, particularly via electrolysis, has emerged as a key solution, offering the potential for low-carbon energy across various sectors. This paper presents a novel approach to enhancing hydrogen production by aligning it with periods of low-carbon intensity on the electricity grid. Leveraging real-time data from the Electricity Mapping database and real-time electricity cost data from the AEMO database, the model dynamically adjusts hydrogen output to minimize both emissions and production costs. Furthermore, the integration of hydrogen tax credits significantly enhances cost-effectiveness, offering a viable pathway for widespread adoption. A comprehensive Life Cycle Assessment (LCA) framework is employed to assess the environmental impacts, emphasizing the need for real-time data incorporation to more accurately reflect hydrogen production's carbon footprint. The study concludes that dynamic, real-time operation, coupled with financial incentives, provides a promising method to enhance the sustainability and economic viability of hydrogen production.
Abstract: 向可持续能源的转型对于应对全球气候变化至关重要。 通过电解生产氢气,特别是作为一种关键解决方案,提供了在各个领域实现低碳能源的潜力。 本文提出了一种增强氢气生产的创新方法,将其与电网低碳强度时期相协调。 利用来自电力地图数据库的实时数据和来自AEMO数据库的实时电力成本数据,该模型动态调整氢气产量,以最小化排放和生产成本。 此外,氢气税收抵免的整合显著提高了成本效益,为广泛采用提供了一条可行的途径。 采用全面的生命周期评估(LCA)框架来评估环境影响,强调了纳入实时数据的必要性,以更准确地反映氢气生产的碳足迹。 研究表明,动态的实时操作结合财务激励措施,为提高氢气生产的可持续性和经济可行性提供了一种有前景的方法。
Comments: 24 pages, 23 figures
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2509.00175 [eess.SY]
  (or arXiv:2509.00175v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2509.00175
arXiv-issued DOI via DataCite

Submission history

From: Niraj Gohil [view email]
[v1] Fri, 29 Aug 2025 18:21:32 UTC (22,895 KB)
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