E3S Web Conf.
Volume 167, 20202020 11th International Conference on Environmental Science and Development (ICESD 2020)
|Number of page(s)||6|
|Published online||24 April 2020|
Long-Term evaluation of biogas energy potential based on the neuronal network approach
Technical University of Ambato (UTA) School of Food Science and Engineering. Ambato (Ecuador)
2 Technological University Indoamérica, Ambato (Ecuador)
* Corresponding author: firstname.lastname@example.org
The energy potential of biogas is estimated from the biomass quantity, that is, a biodegradability values obtained from the organic fraction of municipal solid waste (MSW). In this study, the percentage contribution of each and every type of waste was quantified according to the waste classification., In addition, the waste generation data was projected by applying both artificial neural network (ANN) and mathematical models and 4 types of biomass wastes which accounts for a contribution of about 63% of the total waste sampled were obtained. The projection of the weights of the waste was carried out from 2015 to 2030, with the application of the neural network model with Back-propagation. All in all, under the application of the mathematical models, it has been shown that the Ecuadorian model predicted not only a high average volume, but also a large annual value of biogas energy.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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