Shoener Brian D, Schramm Stephanie M, Béline Fabrice, Bernard Olivier, Martínez Carlos, Plósz Benedek G, Snowling Spencer, Steyer Jean-Philippe, Valverde-Pérez Borja, Wágner Dorottya, Guest Jeremy S
Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Avenue, Urbana, IL, 61801, USA.
IRSTEA, UR OPAALE, F-35044, Rennes, France.
Water Res X. 2018 Dec 28;2:100024. doi: 10.1016/j.wroa.2018.100024. eCollection 2019 Feb 1.
Microalgal and cyanobacterial resource recovery systems could significantly advance nutrient recovery from wastewater by achieving effluent nitrogen (N) and phosphorus (P) levels below the current limit of technology. The successful implementation of phytoplankton, however, requires the formulation of process models that balance fidelity and simplicity to accurately simulate dynamic performance in response to environmental conditions. This work synthesizes the range of model structures that have been leveraged for algae and cyanobacteria modeling and core model features that are required to enable reliable process modeling in the context of water resource recovery facilities. Results from an extensive literature review of over 300 published phytoplankton models are presented, with particular attention to similarities with and differences from existing strategies to model chemotrophic wastewater treatment processes (e.g., via the Activated Sludge Models, ASMs). Building on published process models, the core requirements of a model structure for algal and cyanobacterial processes are presented, including detailed recommendations for the prediction of growth (under phototrophic, heterotrophic, and mixotrophic conditions), nutrient uptake, carbon uptake and storage, and respiration.
微藻和蓝藻资源回收系统通过将废水排放中的氮(N)和磷(P)水平降低到当前技术限制以下,可显著推进从废水中回收养分。然而,浮游植物的成功应用需要制定过程模型,该模型要在保真度和简单性之间取得平衡,以准确模拟对环境条件的动态响应。这项工作综合了用于藻类和蓝藻建模的一系列模型结构以及在水资源回收设施背景下实现可靠过程建模所需的核心模型特征。本文展示了对300多篇已发表的浮游植物模型进行广泛文献综述的结果,特别关注与现有化学营养型废水处理过程建模策略(例如通过活性污泥模型,即ASMs)的异同。基于已发表的过程模型,提出了藻类和蓝藻过程模型结构的核心要求,包括对生长(在光养、异养和兼养条件下)、养分吸收、碳吸收和储存以及呼吸预测的详细建议。