| 期刊全稱 | Advanced Methods of Solid Oxide Fuel Cell Modeling |
| 影響因子2023 | Jaros?aw Milewski,Konrad ?wirski,Pierluigi Leone |
| 視頻video | http://file.papertrans.cn/146/145955/145955.mp4 |
| 發(fā)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 |
| 學科分類 | Green Energy and Technology |
| 圖書封面 |  |
| 影響因子 | .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 |