Engineering and Energy, College of Science, Technology, Engineering and Mathematics, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia.
Algae R & D Centre, Environmental and Conservation Sciences, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia; Centre for Water, Energy and Waste, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia.
Sci Total Environ. 2024 May 1;923:171554. doi: 10.1016/j.scitotenv.2024.171554. Epub 2024 Mar 6.
A model based framework was established for large scale assessment of microalgae production using anaerobically digested effluent considering varied climatic parameters such as solar irradiance and air temperature. The aim of this research was to identify the optimum monthly average culture depth operation to minimize the cost of producing microalgae grown on anaerobic digestion effluents rich in ammoniacal nitrogen with concentration of 248 mg L. First, a productivity model combined with a thermal model was developed to simulate microalgae productivity in open raceway ponds as a function of climatic variables. Second, by combining the comprehensive open pond model with other harvesting equipment, the final techno economic model was developed to produce a microalgae product with 20 wt% biomass content and treated water with <1 mg L ammoniacal nitrogen. The optimization approach on culture depth for outdoor open raceway ponds managed to reduce the cost of microalgae production grown in anaerobic digested wastewater up to 16 %, being a suitable solution for the production of low cost microalgae (1.7 AUD kg dry weight) at possible scale of 1300 t dry weight microalgae yr.
建立了一个基于模型的框架，用于大规模评估使用厌氧消化废水的微藻生产，考虑了各种气候参数，如太阳辐照度和空气温度。本研究的目的是确定最佳的月平均培养深度操作，以最小化在富含氨氮浓度为 248mg/L 的厌氧消化废水中生长的微藻的生产成本。首先，开发了一个生产力模型，结合热模型，以模拟开放式跑道池塘中微藻生产力作为气候变量的函数。其次，通过将综合开放式池塘模型与其他收获设备相结合，开发了最终的技术经济模型，以生产具有 20wt%生物质含量和处理水中<1mg/L 氨氮的微藻产品。室外开放式跑道池塘的培养深度优化方法成功降低了在厌氧消化废水中生长的微藻的生产成本，降低了 16%，为低成本微藻（1.7 澳元/公斤干重）的生产提供了合适的解决方案，可能的规模为 1300 吨干重微藻/年。
