Ebook only
Available as an ebook
Please purchase via www.iwaponline.comOpens in new window
Also part of Water Intelligence Online Digital Reference Library
Standard ePrice: £28.00
+ VAT
The overall objective of this research project is to develop and implement model-based control strategies for improving biological treatment and document the methodology, benefits, and effort required. The project phase documented in this report include performing a literature review, installing extensive instrumentation at a full-scale advanced wastewater treatment facility, and developing real-time, dynamic models for biological nutrient removal that are suitable for control.
The literature review was published as a separate report entitled Model-Based Control: Literature Review and Primer. It provides a detailed description of model predictive control and examines case studies from the process industries and the environment utility industry.
Considerable on-line analytical instrumentation was installed at the Stamford WPCA wastewater treatment plant where all the full-scale experimental work was performed. The instrumentation includes five ammonia, six nitrate/nitrite, one suspended solids, four dissolved oxygen, and two ORP analyzers. The analyzers have performed reliably and accurately with minimal periodic maintenance.
Artificial neural network models were developed for the nitrification and denitrification processes. These models provide adequately accurate results for the purpose of control. However, additional field work will be required to collect data with sufficient variability to include the effects of some parameters known to affect the nitrification and denitrification processes.
Available Online Only
Also available as part of your Water Inteligence Online subscription
Ultrasonic Destruction of Surfactants: Application to Industrial Wastewaters
This research focused on the use of sonication to destroy surfactants and surface tension properties in industrial wastewaters that affect traditional water treatment processes. We have...
Impact of Silver Nanoparticles on Wastewater Treatment
Silver nanoparticles (AgNPs, nanosilver) are a frequently used nanomaterial with a wide range of industrial and consumer applications, including fiber coating, detergents, and hydrogels and...
Understanding Factors Affecting Polymer Demand for Thickening and Dewatering
Polymer demand varies considerably for different digestion processes as well as the same digestion processes at different locations and the reasons for these differences are not known. The...
Development of a Microbial Fuel Cell for Sustainable Wastewater Treatment
Microbial Fuel Cells (MiFCs) are a promising renewable energy technology, but suffer from low power densities which hinder their practical applicability. In this work, flame deposited, carbon...
Minimization of Odors and Corrosion in Collection Systems
Wastewater collection system odors and corrosion issues continue to grow in importance to the community and to system owners and operators. Odor and corrosion...
Membrane Biological Reactors
In recent years the MBR market has experienced unprecedented growth. The best practice in the field is constantly changing and unique quality requirements and management issues are regularly...
Develop and Demonstrate Fundamental Basis for Selectors to Improve Activated Sludge Settleability: Phase 2 Lab Investigation
The primary objective of this research was to compare dilute sludge volume index (DSVI) control in equally-sized single- and multi-stage anoxic and anaerobic selectors relative to a control...
Fats, Roots, Oils, and Grease (FROG) in Centralized and Decentralized Systems
Fat, oil, and grease (FOG) is generated everyday by food preparation and cleaning activities conducted at commercial establishments and, on a smaller scale, by residential sewer usage. Another...