Grants and Contributions:

Title:
Development of a geochemical tool to predict iron precipitation in wastewater
Agreement Number:
EGP
Agreement Value:
$25,000.00
Agreement Date:
Mar 7, 2018 -
Organization:
Natural Sciences and Engineering Research Council of Canada
Location:
Ontario, CA
Reference Number:
GC-2017-Q4-01675
Agreement Type:
Grant
Report Type:
Grants and Contributions
Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:
Smith, Scott (Wilfrid Laurier University)
Program:
Engage Grants for universities
Program Purpose:

Trojan Technologies encompasses six businesses involved in improving the efficiency and sustainability ofx000D
various stages of the water treatment process. USP Technologies is one such Trojan business, providingx000D
full-service, in-field, chemical treatment programs to the water and wastewater industry. USP Technologiesx000D
applies chemical knowledge and treatment expertise to facilitate chemical cost savings and improved waterx000D
quality for their clients. Iron salts are a very common chemical used in the wastewater industry and USPx000D
Technologies can provide strategies to decrease iron costs by regeneration of the same iron at multiple pointsx000D
within the same plant, and the surrounding sewer. Thus, less total iron needs to be added to meet wastewaterx000D
treatment plant objectives. All treatment plants are configured differently though; thus, in order to best advisex000D
their clients, USP needs tools to predict the likely outcomes of chemical and physical process manipulations,x000D
before full-scale implementation. Tools for such predictions are not yet in existence. Full-scale treatment plantx000D
models are commercially available but the ones on the market currently focus on biological processes, and notx000D
as much on chemistry. Academic geochemical models are available but require specific geochemical expertisex000D
not common to wastewater practitioners. Thus, USP Technologies requires a simple to use computational toolx000D
to provide predictions of likely solid and soluble forms of iron depending on different proposed scenarios tox000D
manage chemical (iron) use in a treatment plant. For example, operators could input a baseline condition, withx000D
appropriate field measurements, and compare that to one or more anticipated future states. Ultimately, USPx000D
would benefit from a full-scale coupled biological and chemical model but that is beyond the scope of a 6x000D
month Engage project. The model generated by this Engage will serve as a proof-of-principle and, although ax000D
useful tool in itself, will also be a starting place for development of more advanced computational tools andx000D
extended collaborations.