Chhabra, Nishtha and Majumdar, Rudrodip and Ghosh, Tapasi and Subramanyam, T (2026) Hydrogen Supply Chain Effectiveness: Conceptualizing Uncertainties Through Genetic Simulations. In: AI and Sustainability for Global Security edited by Amal Jmaii. Advances in Computational Intelligence and Robotics (ACIR) Series . IGI Global Scientific Publishing, pp. 155-190. ISBN 9798337310770
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| Abstract: | The shift from carbonaceous sources to cleaner alternatives necessitates reorienting and optimizing energy supply chains. Despite technological advancements, energy security remains susceptible to disruptions caused by geopolitical tensions, resource constraints, and market fluctuations. This chapter explores how genetic simulations, leveraging metaheuristic optimization techniques, facilitate a trade-off between the resilience and cost-effectiveness of green hydrogen supply chains. A data-driven case study examines the first-level viability of the envisaged green hydrogen system, covering prominent pathways for production, storage, and transportation and distribution (T&D). Scenarios are ranked based on cost per tonne for production, storage, and T&D. Prima facie viable cases are further discussed considering supply chain vulnerability under geopolitical and logistical constraints. Such studies help strategize long-term energy security for developing economies like India. |
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| Item Type: | Book Chapter |
| Subjects: | School of Natural and Engineering Sciences > Energy and Environment |
| Divisions: | Schools > Natural Sciences and Engineering |
| Date Deposited: | 27 Jan 2026 06:34 |
| Last Modified: | 03 Feb 2026 09:16 |
| Official URL: | https://www.igi-global.com/gateway/chapter/400594 |
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| Funders: | * |
| Projects: | * |
| DOI: | 10.4018/979-8-3373-1077-0.ch005 |
| URI: | http://eprints.nias.res.in/id/eprint/3049 |
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