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Analytical modelling of fuel cells[e...

Kulikovsky, Andrei A.

Analytical modelling of fuel cells[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	621.312429015118
書名/作者:	Analytical modelling of fuel cells/ by Andrei A Kulikovsky.
作者:	Kulikovsky, Andrei A.
出版者:	Oxford : : Elsevier,, 2010.
面頁冊數:	1 online resource.
標題:	Fuel cells - Mathematical models.
ISBN:	9780444535603
ISBN:	0444535608
內容註:	Fuel cell basics -- Catalyst layer performance -- One-dimensional model of a fuel cell -- Quasi-2D model of a fuel cell -- Modelling of fuel cell stacks.
摘要、提要註:	In fuel cell research, �the gap between fundamental electrochemical processes and the engineering of fuel cell systems is bridged by the physical modelling of fuel cells. This relatively new discipline aims to understand the basic transport and kinetic phenomena in a real cell and stack environment, paving the way for improved design and performance. The author�brings his unique approach to the�analytical modeling of fuel cells to this essential reference for energy technologists. Covers recent advances and analytical solutions to a range of problems faced by energy technologists, from catalyst layer performance to thermal stability Provides detailed graphs, charts and other tools (glossary, index) to maximize R & D output while minimizing costs and time spent on dead-end research Presents Kulikovsky's signature approach (and the data to support it)-which uses "simplified" models based on idealized systems, basic geometries, and minimal assumptions-enabling qualitative understanding of the causes and effects of phenomena.
電子資源:	http://www.sciencedirect.com/science/book/9780444535603

Analytical modelling of fuel cells[electronic resource] /
Kulikovsky, Andrei A.

Analytical modelling of fuel cells[electronic resource] /by Andrei A Kulikovsky. - Oxford :Elsevier,2010. - 1 online resource.

Fuel cell basics -- Catalyst layer performance -- One-dimensional model of a fuel cell -- Quasi-2D model of a fuel cell -- Modelling of fuel cell stacks.

In fuel cell research, �the gap between fundamental electrochemical processes and the engineering of fuel cell systems is bridged by the physical modelling of fuel cells. This relatively new discipline aims to understand the basic transport and kinetic phenomena in a real cell and stack environment, paving the way for improved design and performance. The author�brings his unique approach to the�analytical modeling of fuel cells to this essential reference for energy technologists. Covers recent advances and analytical solutions to a range of problems faced by energy technologists, from catalyst layer performance to thermal stability Provides detailed graphs, charts and other tools (glossary, index) to maximize R & D output while minimizing costs and time spent on dead-end research Presents Kulikovsky's signature approach (and the data to support it)-which uses "simplified" models based on idealized systems, basic geometries, and minimal assumptions-enabling qualitative understanding of the causes and effects of phenomena.

ISBN: 9780444535603

Source: 1057616:10579821Elsevier Science & Technologyhttp://www.sciencedirect.com

Nat. Bib. Agency Control No.: 015567500UkSubjects--Topical Terms:

443355
Fuel cells
--Mathematical models.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: TK2931 / .K85 2010

Dewey Class. No.: 621.312429015118

Analytical modelling of fuel cells[electronic resource] /
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300 $a 1 online resource.
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520 $a In fuel cell research, �the gap between fundamental electrochemical processes and the engineering of fuel cell systems is bridged by the physical modelling of fuel cells. This relatively new discipline aims to understand the basic transport and kinetic phenomena in a real cell and stack environment, paving the way for improved design and performance. The author�brings his unique approach to the�analytical modeling of fuel cells to this essential reference for energy technologists. Covers recent advances and analytical solutions to a range of problems faced by energy technologists, from catalyst layer performance to thermal stability Provides detailed graphs, charts and other tools (glossary, index) to maximize R & D output while minimizing costs and time spent on dead-end research Presents Kulikovsky's signature approach (and the data to support it)-which uses "simplified" models based on idealized systems, basic geometries, and minimal assumptions-enabling qualitative understanding of the causes and effects of phenomena.
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