Increased performance of secondary clarifiers using dynamic distribution of minimum return sludge rates.

Most wastewater treatment plants have several secondary clarifiers or even more sets of clarifiers including several secondary clarifiers, and in practice it is a well known problem that equal distribution of the load to the single clarifier (or set of clarifiers) is very difficult-not to say impossible-to obtain. If the problem is neglected, quite a big percentage of the total clarifier capacity-measured as the max. allowed hydraulic load-can be lost. Further, return sludge rates are seldom controlled by any other means than as a (typically too high) percentage of the inlet to the wastewater treatment plant-giving a varying and too low suspended solids concentration in the return sludge, which again can lead to an unnecessary use of polymer in the pre-dewatering of the surplus sludge taken from the return sludge. A control of the return sludge rate divided into two parts - control of the total return sludge flow and control of how the total flow shall be distributed between the secondary clarifiers - is able to solve the mentioned problems. Finally, as shall be demonstrated on full scale wastewater treatment plants, a considerable increase of the hydraulic capacity of the treatment plants can be obtained.

On-line determination of sludge settling velocity for flux-based real-time control of secondary clarifiers.

The state diagram for operation of secondary clarifiers is used to design a control algorithm for the return sludge pumping and determination of the actual hydraulic capacity of the biological step of a wastewater treatment plant. On-line input for the control algorithm is derived from a sludge volume sensor and a suspended solids sensor in the form of software sensors giving values for the sludge settling characteristics - settling velocity, sludge volume index, initial settling velocity and the exponent in the Vesilind equation - allowing the control to accommodate the ever changing settling characteristics and thereby keep the suspended solids flux in the clarifiers in balance for both dry weather flows and during rain events. The control algorithm has been implemented, tested and set into normal operation on a full scale wastewater treatment plant.

On-line determination of nitrite in wastewater treatment by use of a biosensor.

A newly developed biosensor for nitrite having a 90% response time of about 1 min was used to monitor nitrite concentration in activated sludge exposed to oxic/anoxic cycles. The NO2- biosensor contains bacteria that reduce NO2-, but not NO3-, to N2O that is subsequently monitored by a built-in electrochemical sensor. Nitrite plus nitrate (NOx-) was simultaneously monitored by a NOx- biosensor. The maximum operational lifetime of the NO2- biosensor was 6 weeks, but much longer lifetimes can be expected as malfunctioning by the 3 sensors used for longer periods was due to either mechanical damage or ineffective internal sterilization during the construction. Insufficiently sterilized sensors became sensitive also to NO3- after some time due to development of NO3(-)-reducing bacterial populations within the sensor. The fraction of NO2- as compared to NO3- in the activated sludge was very dependent on prehistory, actual loading, and aeration. During balanced operation with NH4+ being exhausted during the later parts of the aerobic cycle, NO2- increased in concentration up to about 50 microM during the early part of the aeration cycle until NH4+ became limiting. At that time the NO2- concentration decreased to low levels. Under some operating conditions a peak of NO2- also appeared in the beginning of the anoxic period. NO2- and NO3- were depleted simultaneously during the anoxic period.

Trends in monitoring of waste water systems.

A review of the trends in monitoring of waste water systems is given - with the focus on the use of sensors for on-line real-time monitoring and control. The paper formed a basis for discussion at the workshop on Methodologies for Wastewater Quality Monitoring, Nimes, 29-30 October 1998, organised by the European Commission and Ecoles des Mines d'Alès. The basic structure of the typical organisation of monitoring and control based on sensors and the handling of the sensor data are discussed and the different types of sensors are classified according to the method used for their introduction into the structure. Existing and new sensor technologies are briefly described, and the possibilities of how standardisation of on-line in-situ sensors can encourage further developments and use of sensors are presented.