An integrated prediction and optimization model of biogas production system at a wastewater treatment facility
| Autor: | Aykut Melih Turhan, Halil Akbaş, Bilge Bilgen |
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| Rok vydání: | 2015 |
| Předmět: |
Engineering
Environmental Engineering Waste management Renewable Energy Sustainability and the Environment business.industry Particle swarm optimization Bioengineering General Medicine Maximization Models Theoretical Wastewater Water Purification Renewable energy Biogas Bioenergy Biofuels Production (economics) Sewage treatment Neural Networks Computer business Methane Waste Management and Disposal |
| Zdroj: | Bioresource Technology. 196:566-576 |
| ISSN: | 0960-8524 |
| DOI: | 10.1016/j.biortech.2015.08.017 |
| Popis: | This study proposes an integrated prediction and optimization model by using multi-layer perceptron neural network and particle swarm optimization techniques. Three different objective functions are formulated. The first one is the maximization of methane percentage with single output. The second one is the maximization of biogas production with single output. The last one is the maximization of biogas quality and biogas production with two outputs. Methane percentage, carbon dioxide percentage, and other contents' percentage are used as the biogas quality criteria. Based on the formulated models and data from a wastewater treatment facility, optimal values of input variables and their corresponding maximum output values are found out for each model. It is expected that the application of the integrated prediction and optimization models increases the biogas production and biogas quality, and contributes to the quantity of electricity production at the wastewater treatment facility. (C) 2015 Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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