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    At present, the objective of WWTP operations is not only to comply with the discharge limits established by law, but also to minimise energy consumption. The huge number of factors that affect these processes and the variety of wastewater inflow to be treated mean that treatment systems must be controlled if this objective is to be achieved. The implementation of fuzzy logic control is a feasible alternative for systems with very dynamic, non-linear behaviour, such as activated sludge processes.



    In general, biological nitrogen removal systems in WWTPs are controlled by on-line analysers/sensors that measure nitrate and ammonium concentrations in the anoxic and oxic zones of treatment processes. This complex instrumentation is expensive to purchase and maintain. In addition, constant supervision by plant operators is needed in order to keep it in good working order. The use of inexpensive, low-maintenance sensors, such as pH and redox (ORP), are a possible alternative to on-line nutrient analyzers/sensors.

    To date, this type of sensor has been a viable and economical option for controlling discontinuous biological nutrient removal. However, there are few applications for continuous systems, despite this being the most common WWTP operating system.

    CALAGUA has developed a control system based on fuzzy logic and low-cost probes to optimize the biological removal of nitrogen in WWTPs. In addition, this research group is a pioneer in applications of this kind of control systems and has taken out a patent on to this technology (file number P200900820).

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    • EDAR de Almazora.
    • EDAR de Alicante Norte (en proceso).


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