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- Title
Energy and Environmental Efficiency for the N-Ammonia Removal Process in Wastewater Treatment Plants by Means of Reinforcement Learning.
- Authors
Hernández-del-Olmo, Félix; Gaudioso, Elena; Dormido, Raquel; Duro, Natividad
- Abstract
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 economic and environmental performance by using a reinforcement learning approach. This approach improves the costs of the N-ammonia removal process in the extended WWTP Benchmark Simulation Model 1 (BSM1). It also performs better than a manual plant operator when disturbances affect the plant. Satisfactory experimental results show significant savings in a year of a working BSM1 plant.
- Subjects
ENERGY consumption of sewage disposal plants; AMMONIA; COMPOSITION of water; REINFORCEMENT learning; NITROGEN removal (Water purification); ENVIRONMENTAL engineering; SIMULATION methods &; models
- Publication
Energies (19961073), 2016, Vol 9, Issue 9, p755
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en9090755