Optimization of the electrooxidation of aqueous ammonium sulfite for hydrogen production at near-neutral pH using response surface methodology
Autor: | Raúl E. Orozco-Mena, Virginia Collins-Martínez, Raúl A. Márquez-Montes, Alejandro Camacho-Dávila, Víctor H. Ramos-Sánchez, Samuel B. Pérez-Vega |
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Rok vydání: | 2020 |
Předmět: |
Central composite design
Renewable Energy Sustainability and the Environment Inorganic chemistry Energy Engineering and Power Technology chemistry.chemical_element 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Sulfur 0104 chemical sciences chemistry.chemical_compound Fuel Technology chemistry Sulfite Response surface methodology Thermochemical cycle 0210 nano-technology Sulfur dioxide Ammonium sulfite Hydrogen production |
Zdroj: | International Journal of Hydrogen Energy. 45:13821-13831 |
ISSN: | 0360-3199 |
DOI: | 10.1016/j.ijhydene.2019.08.213 |
Popis: | Sulfur-based thermochemical cycles, such as the hybrid sulfur-ammonia (HySA) cycle, offer a valuable approach in which hydrogen is produced by exploiting sulfur dioxide (potentially pollutant emissions) through the electrochemical oxidation of aqueous sulfite. In this study, the effect of pH on electrooxidation rate was assessed by comparing different reaction scenarios. Then, a Central Composite Design (CCD) combined with a Response Surface Methodology (RSM) was used to optimize batch electrooxidation of ammonium sulfite at near-neutral pH. Results show that the use of an anion exchange membrane (AEM) greatly improves sulfite electrooxidation rate while pH is effectively stabilized. Furthermore, a second-order model that relates applied potential and sulfite concentration with the normalized half-life of the reaction was obtained and verified experimentally at long-term batch electrooxidations. A good agreement between the model and experimental tests, adequate hydrogen recoveries and low sulfur crossover through the membrane demonstrate practical robustness of this approach. |
Databáze: | OpenAIRE |
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