Optimal Design and Operation of Community Hydrogen Generation and Storage Applications

Manuel Katholnigg (), Armin Golla, Frederik vom Scheidt, Sarah Henni and Christof Weinhardt
Additional contact information
Manuel Katholnigg: Karlsruhe Institute of Technology
Armin Golla: Karlsruhe Institute of Technology
Frederik vom Scheidt: Karlsruhe Institute of Technology
Sarah Henni: Karlsruhe Institute of Technology
Christof Weinhardt: Karlsruhe Institute of Technology

Chapter Chapter 33 in Operations Research Proceedings 2022, 2023, pp 271-279 from Springer

Abstract: Abstract The European energy crisis and the global climate crisis call for a strong reduction of fossil fuel usage in the residential heating sector. Given the rising role of energy communities, we address this challenge by optimizing the design and operation of different energy community systems with a linear program and a genetic algorithm for rolling horizon control, respectively. In particular, we compare status quo systems that are based on natural gas, with purely electricity-based systems, and systems based on electricity as well as the local production, storage, and usage of green hydrogen in the respective community. Applying our method to a case study of a community with 19 households, across various regulatory scenarios, and two different objective scenarios, we find that including hydrogen can achieve considerable CO2 emission reduction, higher self-sufficiency, and lower costs than systems using natural gas for heating. Set-ups without hydrogen, but with larger electric heat pumps, achieve similar emission reductions at lower costs but enable less self-sufficiency in the community.

Keywords: Hydrogen economy; Hydrogen storage; Power-to-gas; Linear programming; Sustainable development (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:lnopch:978-3-031-24907-5_33

Ordering information: This item can be ordered from
http://www.springer.com/9783031249075

DOI: 10.1007/978-3-031-24907-5_33

Access Statistics for this chapter

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