This work seeks to understand the predominant drivers affecting energy demand for a recirculating aquaculture system (RAS) by developing a numerical model in Matlab coupled with Aspen HYSYS and validating against measurement data for a case-study site. 15 weeks of RAS operation were simulated to replicate the grow-out of Atlantic salmon (Salmo salar) from 42.5 to 322 g body weight (BW). Data on water quality parameters and the energy demand of the RAS and its equipment were generated. The water treatment loop was automated from Matlab, along with simulation of the fish tanks. Parameters were continuously updated during the quasi-steady dynamic simulation of the RAS and data was stored. Concentrations of oxygen, carbon dioxide, total ammonia nitrogen, total suspended solids and nitrate nitrogen in the fish tanks were recorded for the full 15 week grow-out. The specific energy demand of the RAS was calculated at 9.59 kWh/kg for the full grow-out. In total, 664 MWh were needed for the complete RAS operation. Coupling Matlab and Aspen HYSYS is a viable method for modelling and simulating a RAS. The presented tool can also simulate abrupt changes in the system (such as a power outage) and resume normal operation once power is restored.

这项工作旨在通过在 Matlab 中结合 Aspen HYSYS 开发数值模型并针对案例研究地点的测量数据进行验证，从而了解影响循环水产养殖系统 (RAS) 能源需求的主要驱动因素。模拟了 15 周的 RAS 操作以复制大西洋鲑鱼（Salmo salar) 从 42.5 到 322 克体重 (BW)。生成了关于水质参数和 RAS 及其设备的能源需求的数据。水处理回路是从 Matlab 自动化的，连同鱼缸的模拟。在 RAS 的准稳态动态模拟过程中不断更新参数并存储数据。在整个 15 周的养成过程中，记录了鱼缸中氧气、二氧化碳、总氨氮、总悬浮固体和硝态氮的浓度。对于完全养成，RAS 的特定能量需求计算为 9.59 kWh/kg。整个 RAS 运行总共需要 664 MWh。耦合 Matlab 和 Aspen HYSYS 是一种可行的 RAS 建模和仿真方法。