Type of Document Thesis Author Zickefoose, Kimberly Brie URN etd-04082004-175233 Title Improving Design of the BNR Process in Wastewater Treatment Plants from an Operations Perspective Degree Master of Science Department Civil and Environmental Engineering, Department of Advisory Committee
Advisor Name Title Danuta Leszczynska Committee Chair Amy Chan Hilton Committee Member Andrew Dzurik Committee Member Keywords
- Nutrient Removal
Date of Defense 2004-03-31 Availability unrestricted AbstractSole nutrient removal from wastewater discharges has become an increasing challenge, as regulatory authorities tighten discharge standards to avoid eutrophication problems in receiving waters. Engineers have become aware that there is a need for new engineering design of standard wastewater treatment plants that should include removal of nutrients (nitrogen and phosphorus) in an efficient and cost effective manner. This need led to the development of biological nutrient removal (BNR) process, which is a distinctive modification of the basic activated sludge process. The BNR process is controlled in bioreactor with separate zones that create different biochemical environments, which allow the system to remove a high degree of nitrogen and phosphorus from the wastewater. There are many uncertainties and uncontrollable factors in the BNR process, therefore achieving high reliability depends heavily on knowledgeable operators and engineers. Operators and start-up engineers can help design engineers become more knowledgeable about uniqueness in design by passing on key information that becomes available during operations. This information was collected and used to improve designís layout of BNR bioreactor to accommodate all observed operational deficiencies.
The deficiencies found during operations were related to start-up conditions, climate, process related issues and equipment spacing. Start-up conditions, climate and equipment need to be considered more closely during design. Engineers can learn from the process related deficiencies found during operations to improve the process design.
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