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BioTOOL—a Readily and Flexible Biogas Rate Prediction Tool for End-users

Author:
Hien, Sebastian, Hansen, Joachim, Drewes, Jörg E., Koch, Konrad
Source:
Environmental modeling and assessment 2019 v.24 no.1 pp. 87-94
ISSN:
1420-2026
Subject:
biogas, gas production (biological), neural networks, prediction, wastewater treatment
Abstract:
This study illustrates an approach to provide an easily manageable tool for end-users to predict the biogas production rate to ease the transition to a flexible and proactive operation of digesters at both biogas plants as well as at wastewater treatment plants. To provide a high flexibility to end-users but keep BioTOOL easily manageable, the approach uses a pre-trained artificial neural networks library consisting of different variable combinations. In BioTOOL’s workflow, end-user will be asked for current measurements disregarding the combination of those. BioTOOL uses a seek-and-implement method to find the correct stored network for the entered input. This approach results in predictions similar to the optimized pre-trained network. It has been demonstrated that the idea of a flexible prediction tool could be fully realized.
Agid:
6278088