Solid oxide fuel cell and advanced combustion engine combined cycle: A pathway to 70% electrical efficiency
Flavio D.F. Chuahy and
Sage L. Kokjohn
Applied Energy, 2019, vol. 235, issue C, 408 pages
Abstract:
A computational system optimization was conducted to explore the efficiency potential of an electrochemical-combustion combined system for distributed power generation. A solid oxide fuel cell model was developed and validated to simulate the electrochemical conversion process and a zero dimensional model was implemented to simulate the engine combustion process. A system level approach was used to evaluate the trade-offs and efficiency potential of the system. A design of experiments of simulations was conducted to explore the design space and a genetic algorithm was used to search the resulting response surface for optimal operating conditions. Metal engine experiments were used to validate that the internal combustion engine is capable of operating under the desired operating conditions and the results were used to obtain final system efficiencies. The results showed that under fully homogeneous and stratified engine conditions the system is capable of achieving electrical efficiencies of 70% (LHV) at a 1 MWe power level while producing minimal soot and NOx emissions.
Keywords: SOFC; Reforming; HCCI; RCCI; Efficiency (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626191831701X
Full text for ScienceDirect subscribers only
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:eee:appene:v:235:y:2019:i:c:p:391-408
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2018.10.132
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().