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Statistical assessment of operational parameters using optimized sulphonated titanium nanotubes incorporated sulphonated polystyrene ethylene butylene polystyrene nanocomposite membrane for efficient electricity generation in microbial fuel cell
Sulphonated Polystyrene Ethylene Butylene Polystyrene (SPSEBS) mixed with different weight percentages (2, 4, 6 and 8%) of synthesized Sulphonated Titanium Nanotubes (STNT) to prepare proton exchange membranes (PEM). The membrane properties confirms that SPSEBS +6% STNT exhibits higher water uptake,...
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Published in: | Energy (Oxford) 2022-03, Vol.242, p.123000, Article 123000 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Sulphonated Polystyrene Ethylene Butylene Polystyrene (SPSEBS) mixed with different weight percentages (2, 4, 6 and 8%) of synthesized Sulphonated Titanium Nanotubes (STNT) to prepare proton exchange membranes (PEM). The membrane properties confirms that SPSEBS +6% STNT exhibits higher water uptake, ion exchange capacity and proton conductivity when compared to certain previously reported membranes thereby suggesting better suitability for fuel cell performance. In present study, three operational parameters were investigated using optimized SPSEBS +6% STNT as PEM for better performance in MFC by adopting Box Behnken design. RSM results reveal that STAT 15 with acetate as substrate, 1000 Ω external resistance and 0.3% catalyst loading rate exhibits a maximum power density of 138 mW/m2. Thus, the synthesized and characterized nanocomposite membranes pose potentials in the fabricated tubular MFC design for enhanced power production. In addition, a regression equation for selected operational parameters for enhanced electricity generation in MFC has been proposed.
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•Tubular MFC system with a novel cation exchange membrane is optimized.•Response Surface Methodology was adopted to optimize three operational parameters.•Statistical assessment is effective to optimize and enhance electricity generation.•Maximum power density achieved after optimization of parameters was 138 mW/m2. |
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ISSN: | 0360-5442 1873-6785 |
DOI: | 10.1016/j.energy.2021.123000 |