Development of a geochemical tool to predict iron precipitation in wastewater

Trojan Technologies包括六项业务，涉及提高水处理过程各个阶段的效率和可持续性。USP技术就是这样一个特洛伊企业，为水和废水行业提供全方位服务，现场化学处理方案。USP Technologies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。铁盐是废水处理行业中非常常用的化学品，USP Technologies可以通过在同一工厂和周围下水道的多个点再生相同的铁来提供降低铁成本的策略。因此，需要添加更少的总铁以满足废水处理厂的目标。然而，所有的处理厂都有不同的配置;因此，为了最好地满足客户的要求，USP需要在全面实施之前预测化学和物理过程操作可能产生的结果的工具。这种预测的工具还不存在。全尺寸的处理厂模型在商业上是可获得的，但是目前市场上的那些集中在生物过程上，而不是化学过程。学术地球化学模型是可用的，但需要特定的地球化学专业知识，这对废水从业者来说并不常见。因此，USP技术需要一个简单易用的计算工具来提供可能的固体和可溶形式的铁的预测，这取决于不同的建议方案来管理化学品（铁）在处理厂的使用。例如，操作员可以输入一个基线条件，加上适当的现场测量，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，但这超出了为期6个月的Engage项目的范围。这个Engage产生的模型将作为一个原理证明，虽然本身是一个有用的工具，但也将成为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.