Hydrogen-Based Dense Energy Carriers in Energy Transition Solutions

Rahul Kakodkar (), Swaminathan Sundar () and Efstratios N. Pistikopoulos ()
Additional contact information
Rahul Kakodkar: Texas AM University
Swaminathan Sundar: Texas AM University
Efstratios N. Pistikopoulos: Texas A&M University

A chapter in Handbook of Smart Energy Systems, 2023, pp 2987-3007 from Springer

Abstract: Abstract Hydrogen has garnered significant research interest in the recent years as an alternative to carbon intense hydrocarbon technology pathways. The stated advantages of hydrogen include high energy density, low emissions at the point of consumption, and availability of diverse feedstock given the presence of the hydrogen atom in water, biomass, and fossil fuels. Nonetheless, emissions resulting from production, the generation of energy required for production, infrastructural material sourcing, and high costs of implementation have challenged the perception of hydrogen as a low carbon solution. The potential for sustainable productionSustainable Production of Hydrogen, and an existing infrastructural footprint directs attention to the role of ammonia and methanol as dense energy carriers (DECs) in future energy systems. Given the large degree of interaction among the constituent components in energy systems, it is possible to identify network configurations which are net-carbon neutral. To this end, multiscale approaches have become a mainstay in the design and analysis of energy transition scenarios. In the presented work, we discuss both the role of hydrogen as an energy vector in future energy economies, as also multiscale mixed integer programming (MIP) approaches, and data-driven predictive frameworks to model and optimize future hydrogen networks.

Keywords: Multiscale energy systems; Dense energy carriers; Future hydrogen economy; Mixed integer programming (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_171

Ordering information: This item can be ordered from
http://www.springer.com/9783030979409

DOI: 10.1007/978-3-030-97940-9_171

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().