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Solid Oxide Fuel Cell systems for electricity generation: An optimization prospect
- Source :
- Renewable Energy. 146:38-43
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- The present study concerns with an optimization method of Solid Oxide Fuel Cell (SOFC) systems for electricity generation, directly fed by CH4 (methane) or C2H5OH (ethanol). By considering a detailed thermodynamic analysis, an innovative simulation model, namely THERMAS (THERmodynamic MAthematical Simulation), was designed and implemented. A specific SOFC-based system was selected to be the reference simulation, which is assumed to be equipped with heat exchangers (preheaters), a reformer, a SOFC-stack system and an afterburner. THERMAS allows for an extended parametric analysis in terms of energy and exergy and offers the opportunity to investigate all the operational characteristics that affect system's efficiency. The optimization process relies on the difference between the energy and exergy efficiency, where an OPF (OPtimization Factor) has been introduced and particularly estimated for each simulated scenario, based on several operational parameters, such as fuel composition, extension of chemical reactions and temperatures. The introduction of this OPF is actually an innovative improvement towards an easy-to-use optimization of SOFC systems. It is found that the design of a SOFC-based power plant fueled by pure hydrocarbons, has to be carefully simulated before its, otherwise the purification of fuels sounds meaningless.
- Subjects :
- Exergy
060102 archaeology
Power station
Renewable Energy, Sustainability and the Environment
business.industry
020209 energy
06 humanities and the arts
02 engineering and technology
Methane
chemistry.chemical_compound
Afterburner
Electricity generation
chemistry
Heat exchanger
0202 electrical engineering, electronic engineering, information engineering
Exergy efficiency
Environmental science
0601 history and archaeology
Solid oxide fuel cell
Process engineering
business
Subjects
Details
- ISSN :
- 09601481
- Volume :
- 146
- Database :
- OpenAIRE
- Journal :
- Renewable Energy
- Accession number :
- edsair.doi...........d431b9de68bcca9e48975ab94aec64da
- Full Text :
- https://doi.org/10.1016/j.renene.2019.06.049