Neural-optimal control algorithm for real-time regulation of in-line storage in combined sewer systems

2007 ◽  
Vol 22 (9) ◽  
pp. 1349-1361 ◽  
Author(s):  
Suseno Darsono ◽  
John W. Labadie
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Control Algorithm ◽  
Sewer Systems ◽  
Combined Sewer

scholarly journals Real-time control of sewer systems using turbidity measurements

2011 ◽  
Vol 63 (11) ◽  
pp. 2628-2632 ◽  
Author(s):  
C. Lacour ◽  
M. Schütze
Keyword(s):  
Real Time ◽  
Measurement Techniques ◽  
Quality Characteristics ◽  
Water Quantity ◽  
Urban Drainage ◽  
Data Sets ◽  
Real Time Control ◽  
Time Control ◽  
Sewer Systems ◽  
Combined Sewer

Real-time control (RTC) of urban drainage systems has been proven useful as a means to reduce pollution by combined sewer overflow discharges. So far, RTC has been investigated mainly with a sole focus on water quantity aspects. However, as measurement techniques for pollution of wastewater are advancing, pollution-based RTC might be of increasing interest. For example, turbidity data sets from an extensive measurement programme in two Paris catchments allow a detailed investigation of the benefits of using pollution-based data for RTC. This paper exemplifies this, comparing pollution-based RTC with flow-based RTC. Results suggest that pollution-based RTC indeed has some potential, particularly when measurements of water-quality characteristics are readily available.

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