| Autor: |
Sadish Shrestha, Vijay Krishna Teja Bangi, G. N. Reddy, Ramesh K. Guduru |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 7th International Conference on Renewable Energy Research and Applications (ICRERA). |
| DOI: |
10.1109/icrera.2018.8566940 |
| Popis: |
In this study we developed a GUI-based mathematical model of an alkaline water electrolyzer for optimizing hydrogen renewable energy systems. The model is based on the measurement data that is collected using a multi-cell alkaline electrolyzer. The experimental data is collected for varying: cell voltage gradients and its electrolyte concentrations. The data is normalized for the number of cells and its cell areas so that the developed model can be used with any number of cells or with any cell-areas. The GUI-model development is implemented in four phases: collection of extensive measurement data; mathematical modeling using least square regression for generating empirical equations; GUI-development to embed the empirical equations; and finally estimating or prediction of dry cell-performance. Using the model we are able to predict the hydrogen-dry-cell output performance parameters for varying input conditions including: cell voltage gradients, cell electrolyte concentrations, number of cells, and cell areas. The predicted hydrogen-dry-cell output performance parameters include: production rate parameters -- hydrogen generated per minute C lpm in liters/min and milliliters of hydrogen generated per minute per milli-watt C mmw in milliliters/ min/watt; energy consumption parameter -- energy consumed in watt-hours to generate a liter of hydrogen C wh in watt-hours/liter; and finally overall energy conversion efficiency, from electrical to chemical, C eff in percentage. The mathematical model here is a set of empirical equations corresponding to a sets of measurement-data. We have used the least square regression method with third-degree polynomial to curve-fit the data. Predicted values of the mathematical model matched with the measurement data validating the model. The GUI-model is useful for designing new dry-cells or to manage and control the existing dry-cells for optimal hydrogen production. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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