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International audience ; During the last years, the efficiency of pollution removal and sludge treatment processes are major concerns because of the more restrictive legislation related to nutrient discharge. A key point in the field of activated sludge wastewater treatment plants (WWTPs) is the secondary settler efficiency. This paper presents a benchmark study to control, using fuzzy algorithms, the sludge height in a secondary settler. The presented control strategy is based on simple on-line data (influent and recycle flows) and daily analitycal values of the Sludge Volume Index (SVI) allowing the fuzzy algorithm to reduce sludge height variations and thus to increase the settling process efficiency. The developed controller has been applied to the Cassà de la Selva activated sludge WWTP (Spain).

International audience ; During the last years, the efficiency of pollution removal and sludge treatment processes are major concerns because of the more restrictive legislation related to nutrient discharge. A key point in the field of activated sludge wastewater treatment plants (WWTPs) is the secondary settler efficiency. This paper presents a benchmark study to control, using fuzzy algorithms, the sludge height in a secondary settler. The presented control strategy is based on simple on-line data (influent and recycle flows) and daily analitycal values of the Sludge Volume Index (SVI) allowing the fuzzy algorithm to reduce sludge height variations and thus to increase the settling process efficiency. The developed controller has been applied to the Cassà de la Selva activated sludge WWTP (Spain).

7 pages ; International audience ; In France, 25% of greenhouse effect gases (GEG) emissions and 46% of global energy consumption are due to buildings. Based on legal documentation such as "Réglementation Thermique 2005" (RT2005) and "Diagnostic de Performance Energétique" (DPE), objectives of the French government focus on reducing the consumption of fossil energy in buildings while preserving comfort and functionality. In this sense, reducing wasting and improving energy management is crucial. Moreover, renewable energy sources need to be promoted to reach these objectives. The aim of the present work is proposing a control strategy for optimizing the multisource energy management in a building room (an office). Two energy sources are available: a renewable energy source, used for main heating, and a fossil energy source, used for additional heating. The work consists of two parts: Part 1: developing a thermal and dynamic model of the 10m long and north-south orientation room where several sensors have been installed (temperature, humidity, pressure.). Total heat power is 1000W: 700W for the main heating source and 300W for the additional one. Part 2: many control strategies such as PID, MPC (Model Predictive Control) or fuzzy control have already been tested with the above-mentioned model for regulating the indoor temperature of the room. They provided good performance for reducing the fossil energy consumption. However, and for trying to improve the obtained results, part 2 of the present work is focused on developing a fuzzy-PID controller.

7 pages ; International audience ; In France, 25% of greenhouse effect gases (GEG) emissions and 46% of global energy consumption are due to buildings. Based on legal documentation such as "Réglementation Thermique 2005" (RT2005) and "Diagnostic de Performance Energétique" (DPE), objectives of the French government focus on reducing the consumption of fossil energy in buildings while preserving comfort and functionality. In this sense, reducing wasting and improving energy management is crucial. Moreover, renewable energy sources need to be promoted to reach these objectives. The aim of the present work is proposing a control strategy for optimizing the multisource energy management in a building room (an office). Two energy sources are available: a renewable energy source, used for main heating, and a fossil energy source, used for additional heating. The work consists of two parts: Part 1: developing a thermal and dynamic model of the 10m long and north-south orientation room where several sensors have been installed (temperature, humidity, pressure.). Total heat power is 1000W: 700W for the main heating source and 300W for the additional one. Part 2: many control strategies such as PID, MPC (Model Predictive Control) or fuzzy control have already been tested with the above-mentioned model for regulating the indoor temperature of the room. They provided good performance for reducing the fossil energy consumption. However, and for trying to improve the obtained results, part 2 of the present work is focused on developing a fuzzy-PID controller.