Integrated dynamic aquaculture and wastewater treatment modelling for recirculating aquaculture systems

• Published in: Aquaculture Vol. 287; no. 3; pp. 361 - 370
• Main Authors: Wik, Torsten E.I., Lindén, Björn T., Wramner, Per I.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 18.02.2009; Amsterdam: Elsevier Science; Elsevier; Elsevier Sequoia S.A
• Subjects: Animal aquaculture; animal growth; Animal productions; Applied sciences; Aquaculture; Biofilm; Biologi; Biological and medical sciences; Biology; Control; Exact sciences and technology; excretion; feed conversion; Fish; fish culture; fish feeding; Fundamental and applied biological sciences. Psychology; gastric evacuation; General aspects; Integrated model; mathematical models; Moving bed; NATURAL SCIENCES; NATURVETENSKAP; Oncorhynchus mykiss; Physical growth; Pollution; recirculating aquaculture systems; Simulation; simulation models; trout; Wastewater; wastewater treatment; Wastewaters; water quality; Water treatment; Water treatment and pollution; Biofilm; Integrated model; Control; Moving bed; Wastewater; Aquaculture; Dynamics; Recirculating flow; Models; Waste water purification; Modeling; Waste water
• ISSN: 0044-8486; 1873-5622; 1873-5622
• DOI: 10.1016/j.aquaculture.2008.10.056

Recirculating aquaculture systems (RAS) in land based fish tanks, where the fish tank effluent is biologically treated and then recirculated back to the fish tanks, offers a possibility for large scale ecologically sustainable fish production. In order to fully exploit the advantages of RAS, however, the water exchange should be as small as possible. This implies strong demands on the water treatment, e.g. the maintenance of an efficient nitrification, denitrification and organic removal. Because of the RAS complexity, though, dynamic simulations are required to analyze and optimize a plant with respect to effluent water quality, production and robustness. Here, we present a framework for integrated dynamic aquaculture and wastewater treatment modelling, where fish growth and evacuation rate models can be linked to state of the art dynamic wastewater treatment models through massbalance based waste characterization. It provides means to analyze, predict and explain RAS performance. Using this framework we demonstrate how a new and improved RAS configurations is identified.