P-graph methodology for cost-effective reduction of carbon emissions involving fuel cell combined cycles

Petar Sabev Varbanov, Ferenc Friedler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fuel cells (FCs) are important for building combined energy systems due to their high efficiency. Molten Carbonate FCs (MCFC) and Solid Oxide FCs (SOFC) have been identified as best candidates for FC Combined Cycles (FCCC). This paper presents a procedure for evaluating the trends in emission levels and economics of FCCC based energy conversion systems, utilising biomass and/or fossil fuels. This involves significant combinatorial complexity, efficiently handled by the P-graph algorithms. A procedure for the synthesis of cost-optimal FCCC configurations is developed, accounting for the carbon footprint of the technology and fuel options. The results show that such systems employing renewables can be viable for wide range of economic conditions, due to the high energy efficiency of the FC-based systems.

Original languageEnglish
Title of host publication2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011
DOIs
Publication statusPublished - Jul 1 2011
Event2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011 - Kuala Lumpur, Malaysia
Duration: Apr 19 2011Apr 21 2011

Publication series

Name2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011

Other

Other2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011
CountryMalaysia
CityKuala Lumpur
Period4/19/114/21/11

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

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    Varbanov, P. S., & Friedler, F. (2011). P-graph methodology for cost-effective reduction of carbon emissions involving fuel cell combined cycles. In 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011 [5775477] (2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011). https://doi.org/10.1109/ICMSAO.2011.5775477