AI summary

70% confidence

Cassava waste (peel) extracts can be used as a substrate in a microbial fuel cell to produce supplementary and sustainable energy, with a peak voltage of 687 mV and power density of 155 mW m⁻³.

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Literature priors

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Coulombic efficiency11%

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What they did

System
MFC

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Abstract

In a number of energy-poor nations, peel from cassava processing represents one of the most abundant sources of lignocellulosic biomass. This peel is mostly discarded indiscriminately and eventually constitutes a problem to the environment. However, energy can be extracted from this peel in a microbial fuel cell. In this study, the viability of cassava peel extract as a substrate in a single-chamber air cathode microbial fuel cell is demonstrated, and optimum performance conditions are explored. The effects of different pretreatments on the extract are also discussed in the context of observed changes in the internal resistances, conductivity and Coulombic efficiencies. At the best conditions examined, the extract from cassava peel fermented for 168 h and adjusted to a pH of 7.63 attained a peak voltage of 687 mV ± 21 mV, a power density of 155 mW m −3 of reactor volume and a Coulombic efficiency of 11 %. Although this energy is limited to direct use, systems exist that can effectively harvest and boost the energy to levels sufficient for supplementary energy usage in cassava producing regions.

Key findings

  • Cassava peel extract can be fermented for 168 h and adjusted to a pH of 7.63 to achieve optimal performance.
  • Different pretreatments on the extract can affect internal resistances, conductivity, and Coulombic efficiencies.
  • The energy produced by the microbial fuel cell is limited to direct use, but can be boosted to levels sufficient for supplementary energy usage in cassava producing regions.

Keywords

Microbial fuel cellFaraday efficiencyPulp and paper industryBiomass (ecology)Context (archaeology)Bioenergy

Identifiers

Journal
Waste Management & Research: The Journal for a Sustainable Circular Economy
Year
2016