This study describes the design and management of an effective recirculating aquaculture system (RAS). The RAS design involves many aspects, both physical and biological: (1) a desired turnover, (2) fingerling arrival frequency, (3) number of fingerlings per batch, (4) number of days in a growth phase, (4) timing of grading and sorting, based on (5) fish growth rate, and (6) number of culture tanks. The design criteria were: (1) turnover of 250 ton/year, (2) fingerling arrival frequency of 12 batches/year, (3) biomass density ≤60 kg/m3, (4) two fish batch-sorting and batch-splitting events, and (5) a robust design to accommodate two species—slower- and faster-growing species. The culture tank was regarded as a queuing system in which neither a “queue” (overholding of fish) nor an idle culture tank is allowed, enabling modeling of the fish farm as a queuing network. A queuing model, stochastic simulation, optimization, and six sigma robust design were developed, validated, and implemented.
The optimal layout was found to comprise three growth phases, with 1, 8, and 24 culture tanks, respectively. Optimal parameters included: arrival frequency—a single fish batch into the system every 30 days; then 30, 120 and 180 days in the 1st, 2nd and 3rd phases, to 42, 200, and 440 g, respectively. The optimal values satisfied the criteria of biomass density below 60 kg/m3 and culture tank utilization above 93%. Expected production was 250–276 ton/year. The proposed layout can accommodate different fish species with different growth rates under the same proposed layout, culture volume, density, and schedule. The numerical values reflect local aquatic conditions, but the proposed methodology can be applied elsewhere.
see parts 1+2 of the article
part 2 https://www.sciencedirect.com/science/article/pii/S0144860912000295
part 3https://www.sciencedirect.com/science/article/pii/S0144860912000854
This study describes the design and management of an effective recirculating aquaculture system (RAS). The RAS design involves many aspects, both physical and biological: (1) a desired turnover, (2) fingerling arrival frequency, (3) number of fingerlings per batch, (4) number of days in a growth phase, (4) timing of grading and sorting, based on (5) fish growth rate, and (6) number of culture tanks. The design criteria were: (1) turnover of 250 ton/year, (2) fingerling arrival frequency of 12 batches/year, (3) biomass density ≤60 kg/m3, (4) two fish batch-sorting and batch-splitting events, and (5) a robust design to accommodate two species—slower- and faster-growing species. The culture tank was regarded as a queuing system in which neither a “queue” (overholding of fish) nor an idle culture tank is allowed, enabling modeling of the fish farm as a queuing network. A queuing model, stochastic simulation, optimization, and six sigma robust design were developed, validated, and implemented.
The optimal layout was found to comprise three growth phases, with 1, 8, and 24 culture tanks, respectively. Optimal parameters included: arrival frequency—a single fish batch into the system every 30 days; then 30, 120 and 180 days in the 1st, 2nd and 3rd phases, to 42, 200, and 440 g, respectively. The optimal values satisfied the criteria of biomass density below 60 kg/m3 and culture tank utilization above 93%. Expected production was 250–276 ton/year. The proposed layout can accommodate different fish species with different growth rates under the same proposed layout, culture volume, density, and schedule. The numerical values reflect local aquatic conditions, but the proposed methodology can be applied elsewhere.
see parts 1+2 of the article
part 2 https://www.sciencedirect.com/science/article/pii/S0144860912000295
part 3https://www.sciencedirect.com/science/article/pii/S0144860912000854