Model Predictive Control of Stochastic Wastewater Treatment Process for Smart Power, Cost-Effective Aeration
Abstract
Wastewater treatment is an essential process to ensure the good chemical and environmental status of natural water bodies. The energy consumption for wastewater treatment represents an important cost for water utilities. Meanwhile has the increasing fraction of renewable energy sources in the electricity market created the possibility of exploiting cheaper (and greener) electricity. This paper proposes model predictive control driven by...
Paper Details
Title
Model Predictive Control of Stochastic Wastewater Treatment Process for Smart Power, Cost-Effective Aeration
Published Date
Jan 1, 2019
Journal
Volume
52
Issue
1
Pages
622 - 627
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