Use of Kiwi Waste as Fuel in MFC and Its Potential for Use as Renewable Energy

Author:

Rojas-Flores Segundo1ORCID,De La Cruz-Noriega Magaly2ORCID,Cabanillas-Chirinos Luis2,Benites Santiago M.1,Nazario-Naveda Renny1ORCID,Delfín-Narciso Daniel3,Gallozzo-Cardemas Moisés4,Díaz Felix5,Murga-Torres Emzon6ORCID,Rojas-Villacorta Walter7ORCID

Affiliation:

1. Vicerrectorado de Investigación, Universidad Autónoma del Perú, Lima 15842, Peru

2. Instituto de Investigación en Ciencias y Tecnología de la Universidad Cesar Vallejo, Trujillo 13001, Peru

3. Grupo de Investigación en Ciencias Aplicadas y Nuevas Tecnologías, Universidad Privada del Norte, Trujillo 13007, Peru

4. Departamento de Ciencias, Universidad Tecnológica del Perú, Trujillo 13011, Peru

5. Escuela Académica Profesional de Medicina Humana, Universidad Norbert Wiener, Lima 15046, Peru

6. Laboratorio de Investigación Multidisciplinario, Universidad Privada Antenor Orrego (UPAO), Trujillo 13008, Peru

7. Programa de Investigación Formativa, Universidad Cesar Vallejo, Trujillo 13001, Peru

Abstract

This research aimed to use kiwi waste as fuel to generate bioelectricity through microbial fuel cells. It was possible to generate an electrical current and voltage peaks of 3.807 ± 0.102 mA and 0.993 ± 0.061 V on day 11, showing an electrical conductivity of 189.82 ± 3.029 mS/cm and an optimum operating pH of 5.966 ± 0.121. The internal resistance of the cells was calculated using Ohm’s Law, resulting in a value of 14.957 ± 0.394 Ω, while the maximum power density was 212.68 ± 26.84 mW/m2 at a current density of 4.506 A/cm2. Through the analysis of the FTIR spectra carried out on the substrate, a decrease in the characteristic organic peaks was observed due to their decomposition during the electricity-generation process. In addition, it was possible to molecularly identify the bacteria Comamonas testosteroni, Sphingobacterium sp., and Stenotropho-monas maltophila adhered to the anodized biofilm. Finally, the capacity of this residue to generate bioelectricity was demonstrated by lighting an LED bulb with a voltage of 2.85 V.

Publisher

MDPI AG

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Food Science

Reference79 articles.

1. Optimization of industrial energy consumption for sustainability using time-series regression and gradient descent algorithm based on historical electricity consumption data;Opoku;Sustain. Anal. Model.,2022

2. Prediction of electricity consumption during epidemic period based on improved particle swarm optimization algorithm;Li;Energy Rep.,2022

3. Industrial facility electricity consumption forecast using artificial neural networks and incremental learning;Ramos;Energies,2020

4. Rodríguez, A.M., Baas, M.A., and Cachon, C.M. (2017, January 20–24). Factores que Influyen en los Alumnos para la Elección de Carrera de Escuelas Normales Públicas. Proceedings of the Congreso Nacional de Investigación Educativa, San Luis Potosí, Mexico.

5. Data analytics in the electricity sector—A quantitative and qualitative literature review;Ludwig;Energy AI,2020

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