Development of a geochemical tool to predict iron precipitation in wastewater

特洛伊技术公司包括六项业务，涉及提高水处理过程的各个阶段的效率和可持续性。USP Technologies就是这样一家特洛伊木马企业，为水和废水行业提供全方位的现场化学处理程序。USP技术公司应用化学知识和处理专业知识，为客户节省化学成本和改善水质。铁盐是废水工业中使用的一种非常常见的化学品，USP Technologies可以通过在同一工厂内和周围下水道中的多个点再生相同的铁来提供降低铁成本的策略。因此，需要添加更少的全铁来满足废水处理厂的目标。然而，所有处理厂的配置都不同；因此，为了最好地为客户提供建议，USP需要在全面实施之前，使用工具来预测化学和物理过程操作的可能结果。这样的预测工具还不存在。全规模的处理厂模型已经商业化，但目前市场上的模型侧重于生物过程，而不是太多的化学过程。有学术的地球化学模型可用，但需要废水处理从业者所不具备的特定的地球化学专业知识。因此，USP Technologies需要一种简单易用的计算工具来根据不同的拟议方案来预测可能的固体和可溶性铁的形式，以管理处理厂中的化学(铁)使用。例如，操作员可以输入基线条件，使用适当的现场测量，并将其与一个或多个预期的未来状态进行比较。最终，USP将受益于一个全面的生物和化学耦合模型，但这超出了6个月的Engage项目的范围。这项工作产生的模型将作为原则证明，虽然本身是一个有用的工具，但也将是开发更先进的计算工具和扩展合作的起点。

Trojan Technologies encompasses six businesses involved in improving the efficiency and sustainability ofvarious stages of the water treatment process. USP Technologies is one such Trojan business, providingfull-service, in-field, chemical treatment programs to the water and wastewater industry. USP Technologiesapplies chemical knowledge and treatment expertise to facilitate chemical cost savings and improved waterquality for their clients. Iron salts are a very common chemical used in the wastewater industry and USPTechnologies can provide strategies to decrease iron costs by regeneration of the same iron at multiple pointswithin the same plant, and the surrounding sewer. Thus, less total iron needs to be added to meet wastewatertreatment plant objectives. All treatment plants are configured differently though; thus, in order to best advisetheir clients, USP needs tools to predict the likely outcomes of chemical and physical process manipulations,before full-scale implementation. Tools for such predictions are not yet in existence. Full-scale treatment plantmodels are commercially available but the ones on the market currently focus on biological processes, and notas much on chemistry. Academic geochemical models are available but require specific geochemical expertisenot common to wastewater practitioners. Thus, USP Technologies requires a simple to use computational toolto provide predictions of likely solid and soluble forms of iron depending on different proposed scenarios tomanage chemical (iron) use in a treatment plant. For example, operators could input a baseline condition, withappropriate field measurements, and compare that to one or more anticipated future states. Ultimately, USPwould benefit from a full-scale coupled biological and chemical model but that is beyond the scope of a 6month Engage project. The model generated by this Engage will serve as a proof-of-principle and, although auseful tool in itself, will also be a starting place for development of more advanced computational tools andextended collaborations.