Biodigester Application to Generate Electricity and Improve the Quality of Life

Vanessa Raymundo, Doris Esenarro, Ciro Rodríguez, Susana Davila, Manuel Prado, María Veliz

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The objective of this research work is the application of biodigesters for the production of electrical energy and to improve learning in the Totora farmhouse, in the district of Incahuasi, province of Ferreñafe, Lam-bayeque, where a difficulty in access has been evidenced. to classes and a low quality of learning reflected in the children because they cannot access the electricity service, this added to a low internet connectivity means that they cannot access to carry out their activities normally. For them, important aspects were taken such as the climate, the topography of the study site, as well as the use of solid waste and the use of biodegradable materials. A calculation of supply and demand was applied to be able to supply the energy demand per dwelling and to be able to know the necessary amount of biodigester to be used. From this investigation it is determined that the biodigester to be implanted will be of the tubular type with a capacity of 4m3. Thus concluding that the use of renewable biomass energy for the proposal of a biodigester and the production of electrical energy improves the quality of learning in the Totora village, managing to use local waste and satisfy electrical needs and finally improving the quality of village life.

Idioma originalInglés
Título de la publicación alojadaProceedings of 7th ASRES International Conference on Intelligent Technologies - ICIT 2022
EditoresKarm Veer Arya, Vipin Kumar Tripathi, Ciro Rodriguez, Eddy Yusuf
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas14
ISBN (versión impresa)9789819919116
EstadoPublicada - 2023
Publicado de forma externa
Evento7th International Conference on Intelligent Technologies, ICIT 2022 - Jakarta, Indonesia
Duración: 16 dic. 202218 dic. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen685 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389


Conferencia7th International Conference on Intelligent Technologies, ICIT 2022


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