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http://dx.doi.org/10.5855/ENERGY.2020.29.2.001

A Numerical Modeling of the Temperature Dependence on Electrochemical Properties for Solid Oxide Electrolysis Cell(SOEC)  

Han, Kyoung Ho (Department of Chemical Engineering, Kwangwoon University)
Jung, Jung Yul (SK Hynix)
Yoon, Do Young (Department of Chemical Engineering, Kwangwoon University)
Publication Information
Journal of Energy Engineering / v.29, no.2, 2020 , pp. 1-9 More about this Journal
Abstract
In recent days, fuel cell has received attention from the world as an alternative power source to hydrocarbon used in automobile engines. With the industrial advances of fuel cell, There have been a lot of researches actively conducted to find a way of generating hydrogen. Among many hydrogen production methods, Solid Oxide Electrolysis Cell(SOEC) is not only a basic way but also environment-friendly method to produce hydrogen gas. Solid Oxide Electrolysis Cell has lower electrical energy demands and high thermal efficiency since it is possible to operate under high temperature and high pressure conditions. For these reasons, experimental researches as well as studies on numerical modeling for Solid Oxide Electrolysis Cell have been under way. However, studies on numerical modeling are relatively less enough than experimental accomplishments and have limited performance prediction, which mostly is considered as a result from inadequate effects of electrochemical properties by temperature and pressure. In this study, various experimental studies of commercial Membrane Electrode Assembly (MEA) composed of Ni-YSZ (40wt%, Ni-60 wt% YSZ)/8-YSZ (TOSOH, TZ8Y)/LSM (La0.9Sr0.1MnO3) was utilized for improving effectiveness of SOEC model. After numerically analyzing effects of electrochemical properties according to operating temperature, causing the largest deviation between experiments and simulation are that Charge Transfer Coefficient (CTC), exchange current density, diffusion coefficient, electrical conductivity in SOEC. Analyzing temperature effect on parameter used in overpotential model is conducted for modeling of SOEC. cross-validation method is adopted for application of various MEA and evaluating feasibility of model. As a result, the study confirm that the numerical model of SOEC based on structured process of effectiveness evaluation makes performance prediction better.
Keywords
Hydrogen energy; hydrolysis; numerical modeling; temperature effect; performance prediction;
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