Energy and Environmental Efficiency for the N-Ammonia Removal Process in Wastewater Treatment Plants by Means of Reinforcement Learning

Energy and Environmental Efficiency for the N-Ammonia Removal Process in Wastewater Treatment Plants by Means of Reinforcement Learning

Currently, energy and environmental efficiency are critical aspects in wastewater treatment plants (WWTPs). In fact, WWTPs are significant energy consumers, especially in the active sludge process (ASP) for the N-ammonia removal. In this paper, we face the challenge of simultaneously improving the e...

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Bibliographic Details
Main Authors: Félix Hernández-del-Olmo, Elena Gaudioso, Raquel Dormido, Natividad Duro
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Energies
Subjects:
benchmark
energy saving
environmental impact
intelligent control
reinforcement learning
wastewater system
Online Access:http://www.mdpi.com/1996-1073/9/9/755

Internet

http://www.mdpi.com/1996-1073/9/9/755

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