期刊全称 | Advanced Methods of Solid Oxide Fuel Cell Modeling | 影响因子2023 | Jarosław Milewski,Konrad Świrski,Pierluigi Leone | 视频video | | 发行地址 | Describes a method of solid oxide fuel cell (SOFC) modeling that can be implemented easily using commonly available software.Offers readers the chance to optimize SOFC design.Provides a comprehensive | 学科分类 | Green Energy and Technology | 图书封面 |  | 影响因子 | .Fuel cells are widely regarded as the future of the power and transportation industries. Intensive research in this area now requires new methods of fuel cell operation modeling and cell design. Typical mathematical models are based on the physical process description of fuel cells and require a detailed knowledge of the microscopic properties that govern both chemical and electrochemical reactions. .Advanced Methods of Solid Oxide Fuel Cell Modeling. proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC) modeling. .Advanced Methods of Solid Oxide Fuel Cell Modeling. provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs. Up to now, most of the equations involved in SOFC models have required the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object’s behavior without an algorithmic solution, merely by utilizing available experimental data. .The ANN methodology discussed in .Advanced Methods of Solid Oxide Fuel Cell Modeling. can be used by | Pindex | Book 2011 |
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