Modelling industrial symbiosis of biogas production and industrial wastewater treatment plants
|Coordinator||Scandinavian Biogas Fuels AB|
|Funding from Vinnova||SEK 2 132 400|
|Project duration||October 2017 - June 2020|
|Call||Circular economy - Development & Innovation projects|
Purpose and goal
The project aim is to develop a tool for dynamic modelling of a novel concept for wastewater treatment where an industry and a producer of biogas make use of each other’s residues. The concept is now evaluated in a case study where substrate for biogas production is produced in combination with reduced consumption of electricity and nutrients over the wastewater treatment at Skogn paper mill. With the modelling tool, predictions of the concepts´ effect on the function of the wastewater treatment and on the discharges as well as of its potentials during different scenarios will be possible.
Expected results and effects
The novel concept for wastewater treatment has the potential to reduce the consumption of both electricity and nutrient supplements for industries generating and treating wastewaters containing organic material. The modelling tool is needed for case specific predictions on the effects and potentials of the concept thus making it a key component in marketing the concept in larger scale. If the concept is implemented on all Swedish Kraft- and mechanical pulp mills this would mean savings in electrical consumption of about 0.2 TWh while up to 17 million m3 biomethane could be produced.
Planned approach and implementation
The modelling tool will be developed from existing models in co-operation between RISE and Lund University. The tool will then be calibrated and validated using data from the full-scale implementation now underway at Skogn paper mill, where Scandinavian Biogas is the main owner of the biogas production. The project will be performed in close co-operation between the three partners in order to guarantee both that the development of the model is in agreement with the needs and that all documentation from both startup and continuous operation constitute a solid base for the model.