OPTIFANGS improves the agronomic management of WasteWater Treatment Plants (WWTP) sludge
















OPTIFANGS improves the agronomic management of WasteWater Treatment Plants (WWTP) sludge

OPTIFANGS allows to optimize the dosage of WWTP sludge in agricultural soils, maximizing benefits and minimizing environmental risks.



OPTIFANGS contributes to the reduction of excess of nutrients in agriculture by complying with the European regulations, improving the capture of Carbon in the soil, through the use of new disruptive techniques linked to digitization, sensorization and Artificial Intelligence.

The OPTIFANGS project develops a tool called Agroresources that allows to calculate an estimate sufficiently accurate the agronomic and environmental composition of WWTP sludge through the measurement of the NIR fingerprint. This allows to model the behavior of the sludge in different conditions and to optimize its dosage in agricultural soils. In this way, the tool allows to take decisions for the dosage almost in real time.


Technologies

The project uses advanced instrumental techniques such as Near Infrared Reflectance Spectroscopy (NIRS), Fourier Transform Infrared Spectroscopy (FT-IR) and thermal analysis. The use of these techniques allows us to obtain a kind of 'fingerprint' of the analyzed material to extract a sufficiently precise estimation of the agronomic and environmental composition of the material.


Modeling

Modeling of the analyzed sludge in different conditions facilitates management and dosing decisions in real time and significantly improves process optimization. For this analysis, chemometrics is used, which is a discipline of artificial intelligence (AI) that merges the value of 'chemical' and 'analytical' intelligences and allows the extraction of features based on model optimization.
Optifangs IA


Sludge management

The development of these tools will allow decentralized management of sludge, which will help to have a lower environmental impact. Likewise, the expected results point to a 25% reduction in excess nutrients that are not absorbed by crops linked to WWTP sludge, a 12% increase in carbon sequestered in amended soils, the mitigation of emissions and odors at low cost; as well as the hope of the implementation of this Optifangs system in neighboring countries.



The project is cofunded by the Valencian Innovation Agency (AVI). 3 partners participate in the project: Agricultores de la Vega de Valencia (SAV), Telenatura S.L. and the GIAAMA group from the University of Miguel Hernandez.




OPTIFANGS allows to optimize the dosage of WWTP sludge in agricultural soils, maximizing benefits and minimizing environmental risks.


OPTIFANGS contributes to the reduction of excess of nutrients in agriculture by complying with the European regulations, improving the capture of Carbon in the soil, through the use of new disruptive techniques linked to digitization, sensorization and Artificial Intelligence.

The OPTIFANGS project develops a tool called Agroresources that allows to calculate an estimate sufficiently accurate the agronomic and environmental composition of WWTP sludge through the measurement of the NIR fingerprint. This allows to model the behavior of the sludge in different conditions and to optimize its dosage in agricultural soils. In this way, the tool allows to take decisions for the dosage almost in real time.


Technologies

The project uses advanced instrumental techniques such as Near Infrared Reflectance Spectroscopy (NIRS), Fourier Transform Infrared Spectroscopy (FT-IR) and thermal analysis. The use of these techniques allows us to obtain a kind of 'fingerprint' of the analyzed material to extract a sufficiently precise estimation of the agronomic and environmental composition of the material.


Modeling

Modeling of the analyzed sludge in different conditions facilitates management and dosing decisions in real time and significantly improves process optimization. For this analysis, chemometrics is used, which is a discipline of artificial intelligence (AI) that merges the value of 'chemical' and 'analytical' intelligences and allows the extraction of features based on model optimization.
Optifangs IA


Sludge management

The development of these tools will allow decentralized management of sludge, which will help to have a lower environmental impact. Likewise, the expected results point to a 25% reduction in excess nutrients that are not absorbed by crops linked to WWTP sludge, a 12% increase in carbon sequestered in amended soils, the mitigation of emissions and odors at low cost; as well as the hope of the implementation of this Optifangs system in neighboring countries.



The project is cofunded by the Valencian Innovation Agency (AVI). 3 partners participate in the project: Agricultores de la Vega de Valencia (SAV), Telenatura S.L. and the GIAAMA group from the University of Miguel Hernandez.

Living Labs


COMPOLAB-EPSO
Living Lab
Living Lab
Living Lab
Living Lab
The first OPTIFANGS' Living Lab is operational on the campus of the Miguel Hernández University (UMH) in Elche. Specifically, it is located in the UMH Composting plant in Orihuela (Alicante).

In the Living Lab, advanced sensorization work is carried out through specific development prototypes for OPTIFANGS. With them, emissions linked to water treatment stations are monitored, identifying different emission sources in the plant for odors and greenhouse gases.

The gas measurement station provides data of three key process gases (CO2, NH3, H2S) and other environmental parameters such as air temperature, relative humidity, barometric pressure, wind speed and direction to generate a predictive gas control model.

The data collected by the station will allow representations and creation of alarms in order to generate scenarios and predictive models that allow anticipation of possible actions on gas emissions (Ruiz-Canales et al, 2022).

TELENATURA designed and built the low-cost emissions and odor control station designed for composting plants and wastewater treatment plants.

Living Labs


COMPOLAB-EPSO
Living Lab
Living Lab
Living Lab
Living Lab
The first OPTIFANGS' Living Lab is operational on the campus of the Miguel Hernández University (UMH) in Elche. Specifically, it is located in the UMH Composting plant in Orihuela (Alicante).

In the Living Lab, advanced sensorization work is carried out through specific development prototypes for OPTIFANGS. With them, emissions linked to water treatment stations are monitored, identifying different emission sources in the plant for odors and greenhouse gases.

The gas measurement station provides data of three key process gases (CO2, NH3, H2S) and other environmental parameters such as air temperature, relative humidity, barometric pressure, wind speed and direction to generate a predictive gas control model.

The data collected by the station will allow representations and creation of alarms in order to generate scenarios and predictive models that allow anticipation of possible actions on gas emissions (Ruiz-Canales et al, 2022).

TELENATURA designed and built the low-cost emissions and odor control station designed for composting plants and wastewater treatment plants.




Agricultores de la Vega de Valencia (SAV)
UMH Logo
teleNatura logo


GVA logoGVA logo