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Optimization under uncertainty of biogas-fueled solid oxide fuel cell system
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
U.S. Department of Energy, National Energy Technology Laboratory, United States.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-6101-2863
2020 (English)In: Energy. Proc., Scanditale AB , 2020Conference paper, Published paper (Refereed)
Abstract [en]

Solid oxide fuel cell systems operating with biogas can be considered an efficient solution for carbon-free energy conversion. Given the efficiency levels at small-scale, a 100 kW range cogenerative system for micro-grid applications was considered in this study. The challenge in employing biomass-derived fuel in solid oxide fuel cells is related to the performance fluctuations due to biomass intrinsic variability. Thus, the exact composition of the fuel may vary in unpredicted ways during the fuel cell lifetime. An uncertainty analysis combined with a design optimization study was conducted on the fuel cell system and it was demonstrated that the deviation in rate of return is statistically significant, and thus robust optimization is needed for designing a system fueled with highly variable biogas composition.

Place, publisher, year, edition, pages
Scanditale AB , 2020.
Keywords [en]
biogas, genetic algorithm, solid oxide fuel cell, uncertainty analysis
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-68419DOI: 10.46855/energy-proceedings-7315Scopus ID: 2-s2.0-85202623424OAI: oai:DiVA.org:mdh-68419DiVA, id: diva2:1896767
Conference
12th International Conference on Applied Energy, ICAE 2020. Bangkok1 December 2020 through 10 December 2020. Code 316979
Available from: 2024-09-11 Created: 2024-09-11 Last updated: 2025-10-10Bibliographically approved

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Zaccaria, Valentina

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