TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Clees, Tanja
A1  - Klaassen, Bernhard
A1  - Nikitin, Igor
A1  - Nikitina, Lialia
A1  - Pott, Sabine
T1  - Statistical and Principal Component Analysis in the Design of Alkaline Methanol Fuel Cells
T2  - Dini, Pyshkin et al. (Eds.): ADVCOMP 2021. Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences, October 3-7, 2021, Barcelona, Spain
N2  - In this paper, the electrochemical alkaline methanol oxidation process, which is relevant for the design of efficient fuel cells, is considered. An algorithm for reconstructing the reaction constants for this process from the experimentally measured polarization curve is presented. The approach combines statistical and principal component analysis and determination of the trust region for a linearized model. It is shown that this experiment does not allow one to determine accurately the reaction constants, but only some of their linear combinations. The possibilities of extending the method to additional experiments, including dynamic cyclic voltammetry and variations in the concentration of the main reagents, are discussed.
KW  - advanced applications
KW  - modeling of complex systems
KW  - mathematical chemistry
KW  - observational data and simulations
UR  - https://www.thinkmind.org/index.php?view=article&articleid=advcomp_2021_1_10_20008
SN  - 978-1-61208-887-7
SB  - 978-1-61208-887-7
SP  - 1
EP  - 5
S1  - 5
PB  - IARIA
ER  -