Analytical Modelling of Fuel Cells by Andrei A Kulikovsky

By Andrei A Kulikovsky

In gasoline telephone research, the hole among primary electrochemical methods and the engineering of gasoline mobile platforms is bridged by means of the actual modelling of gasoline cells. This really new self-discipline goals to appreciate the elemental delivery and kinetic phenomena in a true mobile and stack surroundings, paving the way in which for greater layout and function. The author brings his new angle to the analytical modeling of gas cells to this crucial reference for strength technologists.

  • Covers contemporary advances and analytical suggestions to a variety of difficulties confronted through power technologists, from catalyst layer functionality to thermal stability
  • Provides distinctive graphs, charts and different instruments (glossary, index) to maximise R&D output whereas minimizing expenditures and time spent on dead-end research
  • Presents Kulikovsky’s signature procedure (and the information to help it)-which makes use of "simplified" versions in line with idealized platforms, simple geometries, and minimum assumptions-enabling qualitative realizing of the explanations and results of phenomena

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54) ef f Here Dox is the effective oxygen diffusion coefficient in a dry GDL of porosity εGDL . At large current densities, the cathode GDL in PEFCs and DMFCs can be significantly flooded. In that case Dox should be corrected for liquid saturation, s, which is a fraction of the GDL volume filled with liquid ef f water. 55) where m ranges from 1 to 3. Typically, oxygen flux through the membrane is negligibly small and the diffusion flux of oxygen in the GDL is related to the cell current. Stoichiometry prescribes ef f Dox ∇cox = j .

57) ef f Here DM is the effective diffusion coefficient of methanol in the backing layer, and Ncross is the molar flux of methanol in the membrane. 3. 57) follow from the general mass conservation equation, which states that in the absence of mass sources the divergence of diffusion flux is zero: ∇ · (D∇c) = 0. 58) once and taking into account conditions at the GDL/CL interface one arrives at the balance of fluxes, Eq. 57). 58). 26 CHAPTER 1. FUEL CELL BASICS Stefan-Maxwell diffusion The diffusion of species i in a mixture of gases is a fundamental process which homogenizes the ith species concentration and increases system entropy.

Worldwide interest in DMFCs is increasing due to their high volumetric power density which makes them ideal candidates to replace Li-ion batteries in mobile devices. 12: Number of publications on DMFC science and technology (data from Scopus r ; the search string is “DMFC”). 12). This incarnation of Moore’s law is characteristic of an emerging technology. 3 Solid oxide fuel cells (SOFCs) Working temperature of solid oxide fuel cells (SOFC) varies in the range of 600-900 ◦ C. A unique feature of these cells is their ability to utilize methane or other hydrocarbons as fuels.

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