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Markov Chain Monte Carlo optimization of visible light-driven hydrogen production

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2 Author(s)
Canseco, R.V.L. ; Dept. of Comput. Sci., Univ. of the Philippines, Quezon City, Philippines ; Bongolan, V.P.

This paper uses Markov Chain Monte Carlo techniques to draw out insight in optimizing the visible light-driven hydrogen production process of Tolod et. al. by specifying which reactions to promote in order to increase the rate of hydrogen gas production from a water-based solution. The objective is to minimize the time it takes to form a new hydrogen gas molecule through controlling the initial concentration of the reactants. An agent-based program has been created to model and simulate the reactor setup. Gibbs sampling has been used to determine a unique and stationary distribution suggesting that reactions producing carbon dioxide and hydronium, when increased, will yield faster hydrogen production for the reactor under study.

Published in:

TENCON 2012 - 2012 IEEE Region 10 Conference

Date of Conference:

19-22 Nov. 2012