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010   $a3-319-42646-X
024 7 $a10.1007/978-3-319-42646-4
035   $a(CKB)3710000000985636
035   $a(DE-He213)978-3-319-42646-4
035   $a(MiAaPQ)EBC4773923
035   $a(PPN)197457258
035   $a(EXLCZ)993710000000985636
100   $a20161226d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aReduced Modelling of Planar Fuel Cells $eSpatial Smoothing and Asymptotic Reduction /$fby Zhongjie He, Hua Li, Karl Erik Birgersson
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XXIV, 291 p. 82 illus., 81 illus. in color.)
311   $a3-319-42645-1 
320   $aIncludes bibliographical references at the end of each chapters.
327   $a1 -- Introduction. 2 -- Full 3D Modeling of Planar Fuel Cells. 3 -- Development of Reduced PEMFC Models. 4 -- development of Reduced P-SOFC Models. 5 -- Integrated Stochastic and Deterministic Sensitivity Analysis of Cell and Stack Performances. 6 -- Conclusions.
330   $aThis book focuses on novel reduced cell and stack models for proton exchange membrane fuel cells (PEMFCs) and planar solid oxide fuel cells (P-SOFCs) that serve to reduce the computational cost by two orders of magnitude or more with desired numerical accuracy, while capturing both the average properties and the variability of the dependent variables in the 3D counterparts. The information provided can also be applied to other kinds of plate-type fuel cells whose flow fields consist of parallel plain channels separated by solid ribs. These fast and efficient models allow statistical sensitivity analysis for a sample size in the order of 103 without prohibitive computational cost to be performed to investigate not only the individual, but also the simultaneous effects of a group of varying geometrical, material, and operational parameters. This provides important information for cell/stack design, and to illustrate this, Monte Carlo simulation of the reduced P-SOFC model is conducted at both the single-cell and stack levels.
606   $aEnergy storage
606   $aEnergy systems
606   $aRenewable energy resources
606   $aEnvironmental economics
606   $aMathematical models
606   $aEnergy Storage$3https://scigraph.springernature.com/ontologies/product-market-codes/116000
606   $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000
606   $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000
606   $aEnvironmental Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W48000
606   $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068
615  0$aEnergy storage.
615  0$aEnergy systems.
615  0$aRenewable energy resources.
615  0$aEnvironmental economics.
615  0$aMathematical models.
615 14$aEnergy Storage.
615 24$aEnergy Systems.
615 24$aRenewable and Green Energy.
615 24$aEnvironmental Economics.
615 24$aMathematical Modeling and Industrial Mathematics.
676   $a621.3126
700   $aHe$b Zhongjie$4aut$4http://id.loc.gov/vocabulary/relators/aut$0998276
702   $aLi$b Hua$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBirgersson$b Karl Erik$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910156330203321
996   $aReduced Modelling of Planar Fuel Cells$92289773
997   $aUNINA