LAPSE:2024.0927
Published Article
LAPSE:2024.0927
Economic Modelling of Mixing Hydrogen with Natural Gas
June 7, 2024
As global efforts intensify to transition toward cleaner and more sustainable energy sources, the blending of hydrogen with natural gas emerges as a promising strategy to reduce carbon emissions and enhance energy security. This study employs a systematic approach to assess the economic viability of hydrogen blending, considering factors such as gas costs and heat values. Various hydrogen blending scenarios are analyzed to determine the optimal blend ratios, taking into account both technical feasibility and economic considerations. The study discusses potential economic benefits, challenges, and regulatory implications associated with the widespread adoption of hydrogen−natural gas mixtures. Furthermore, the study explores the impact of this integration on existing natural gas infrastructure, exploring the potential for enhanced energy storage and delivery. The findings of this research contribute valuable insights to policymakers, industry stakeholders, and researchers engaged in the ongoing energy transition, by providing a nuanced understanding of the economic dimensions of hydrogen blending within the natural gas sector.
Keywords
CO2 reduction, economic evaluation, heat values, Hydrogen, Natural Gas
Suggested Citation
Zacepins A, Kotovs D, Komasilovs V, Kviesis A. Economic Modelling of Mixing Hydrogen with Natural Gas. (2024). LAPSE:2024.0927
Author Affiliations
Zacepins A: Institute of Computer Systems and Data Science, Faculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, LV-3001 Jelgava, Latvia [ORCID]
Kotovs D: Institute of Computer Systems and Data Science, Faculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, LV-3001 Jelgava, Latvia [ORCID]
Komasilovs V: Institute of Computer Systems and Data Science, Faculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, LV-3001 Jelgava, Latvia [ORCID]
Kviesis A: Institute of Computer Systems and Data Science, Faculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, LV-3001 Jelgava, Latvia
Journal Name
Processes
Volume
12
Issue
2
First Page
262
Year
2024
Publication Date
2024-01-25
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr12020262, Publication Type: Journal Article
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LAPSE:2024.0927
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doi:10.3390/pr12020262
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Jun 7, 2024
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