Energy value estimation of silages for substrate in biogas plants using an artificial neural network

Alina Kowalczyk-Juśko, Patrycja Pochwatka, Maciej Zaborowicz, Wojciech Czekała, Jakub Mazurkiewicz, Andrzej Mazur, Damian Janczak, Andrzej Marczuk and Jacek Dach

Energy, 2020, vol. 202, issue C

Abstract: The typical tests of biogas efficiency require a great deal of time and are quite expensive. Thus, there is a necessity to develop tools for estimating the energy value of silage more quickly. This paper describes the application of a prediction model based on artificial neural networks to estimate the methane production from various substrates in the form of silages. For this prediction, basic silage parameters were used. The learning file contained input data such as the kind of silage, pH, dry matter, organic dry matter, conductivity and fermentation time. The output data in the database sheet contained the cumulative methane production.

Keywords: Biomass; Biogas; Silage; Productivity prediction; Artificial neural network (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:202:y:2020:i:c:s0360544220308367

DOI: 10.1016/j.energy.2020.117729

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