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Ilan Halachmi Yitzchak Simon Rami Guetta Eric M. Hallerman 《Aquacultural Engineering》2005,32(3-4):443-464
The aim of this study was to develop a simulation model for finding the optimal layout and management regime for a re-circulating aquaculture system (RAS). The work plan involved: (1) quantifying the effects of fish growth and management practices on production; (2) developing a mathematical simulation model for the RAS, taking into account all factors that directly influence system profitability; and (3) estimating the production costs and, hence, the profitability of an RAS. The resulting model is process-oriented, following the flow of fish through the RAS facility, and generates an animated graphic representation of the processes through which the fish passes as it progress through the system. The simulation assesses the performance in terms of yearly turnover, stocking density, tank utilization and biomass in process, and uses statistics to track the state of the RAS and record changes that affect efficiency. The economic impact of system design and operation was modeled to enable a user to anticipate how changes in design or operating practices, costs of inputs, or price of products affect system profitability. The proposed approach overcomes difficulties in characterizing RAS design and operation. The simulation approach allows all of the RAS's components such as equipment, biological processes (e.g., fish growth), and management practices to be evaluated jointly, so that an initial design can be fine-tuned to produce an optimized system and management regime suited to a specific fish farm within a reasonable time. The methodology was executed step-by-step to design an optimal RAS that meets both economic and stocking-density limits. Optimal design specifications were presented for several case studies based on data from Kibbutz Sde Eliahu's RAS, in which Nile tilapia (Oreochromis niloticus) are raised in 20 concrete raceways. Further research should include more extensive testing and validation of the integrated model, which then should be disseminated to the aquaculture community. 相似文献
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针对工厂化循环水养殖系统,利用海水中的自然净化微生物挂膜,挂膜成功后,形成了很好的硝化作用,进行不同水温、进水氨氮浓度和水力停留时间(HRT)影响因素实验。结果表明,相同的进水氨氮浓度,随着水温的升高,不同水温之间氨氮浓度变化差异显著(P0.05)。在28℃水温时,经过生物膜120 h的净化处理,进水氨氮浓度降低到最低;随着进水氨氮浓度和HRT的增大,氨氮去除率及特殊去除率也不断的增大,但在同一进水氨氮浓度下,氨氮特殊去除率随着水力停留时间的延长反而降低。 相似文献
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The environmental impacts of a water re-circulating system for fish farming were studied through the case study of an inland turbot farm located in Brittany (France). Life Cycle Assessment methodology was used to evaluate the potential environmental impact through the following indicators: Eutrophication Potential, Acidification Potential, Global Warming Potential, Net Primary Production Use and Non Renewable Energy Use. Two methods were used to assess the farm's nitrogen, phosphorus and solids emissions: nutrient measurement accounting and nutrient balance modelling. The two methods gave similar results for solids and phosphorus emissions, while for nitrogen the measurement-based approach resulted in half the emissions predicted by the model. The uncertainty regarding the potential gaseous nitrogen emissions led us to assess impacts according to three scenarios, differing with respect to emissions of N2, N2O and NH3. This approach illustrates that the uncertainty concerning nitrogenous emissions to the atmosphere leads to uncertainty with respect to the production system's Eutrophication Potential and its Global Warming Potential. The comparison of our results with similar results for large rainbow trout production in a flow-through system points out the impacts associated with the high level of energy consumption in the studied re-circulating system (i.e. Non Renewable Energy Use, Global Warming potential, Acidification Potential). The nitrogenous gas emissions of re-circulating systems require further studies, in order to precisely identify the substances involved and the technological solutions allowing reduced impacts. 相似文献
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将初始体重为(580.9±44.65)g的大菱鲆成鱼按照低密度A组14.30 kg/m2、中密度B组20.49 kg/m2、高密度C组31.32 kg/m2的标准分为3个不同养殖密度组,并放养于循环水养殖系统中120 d,同时对大菱鲆成活率、体重差异、饵料系数、溶菌酶水平及养殖水体中总氨氮(TAN)、亚硝酸氮(NO2--N)、COD浓度的变化进行测定。研究表明,实验结束时A、B、C三组大菱鲆养殖密度分别达到30.09、41.30、60.07 kg/m2,各实验组成活率都在95%以上。大菱鲆养殖密度对增重率的影响主要体现在研究前期,并且随着养殖密度的增加,各实验组体重差异度出现显著变化(P0.01)。大菱鲆A、B、C组的饵料系数分别为0.73、0.75、0.82,与养殖密度呈正相关。研究开始第5天,高密度组大菱鲆溶菌酶水平升高,20 d后血液溶菌酶水平逐渐降低,40 d之后显著低于低密度组。研究期间系统运行稳定,循环水养殖大菱鲆的不同密度对系统各项水质指标总氨氮(TAN)、亚硝酸氮(NO2--N)、COD浓度的变化有显著影响(P0.05)。研究结果显示,随着养殖密度的升高,各项水质指标显著升高,但高密度组各项水质指标均未超过渔业水质标准所规定的浓度。 相似文献
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