TY - JOUR
T1 - Modeling the Plantwide Implications of Struvite Loss from Sidestream Precipitation Reactors
AU - Aguiar, Samuel E.
AU - Zhang, Manying
AU - Romero-Flores, Adrian
AU - Johnson, Tom
AU - Cusick, Roland D.
N1 - Funding Information:
All XRD studies were carried out in part at the Materials Research Laboratory Central Research Facilities, University of Illinois. This work was funded by the US National Science Foundation award no. 1739788 entitled “INFEWS/T1: Advancing FEW System Resilience in the Corn Belt by Integrated Technology-Environment-Economics Modeling of Nutrient Cycling.” The authors would also like to acknowledge personnel from Ostara Nutrient Recovery Technologies Inc., CWS, Stickney, and MWRD for providing the field-grown struvite samples used in this study. Finally, we acknowledge Rachel Lee and Mikaela Verigin from Ostara Nutrient Recovery Technologies Inc. and Leon Downing from Black and Veatch for their discussion on the general scope and applicability of this study in industries.
Publisher Copyright:
© 2022 American Chemical Society.
PY - 2022/5/13
Y1 - 2022/5/13
N2 - The combination of enhanced biological phosphorus removal (EBPR) with sidestream struvite precipitation is a synergistic treatment approach for P removal and recovery. However, periodic disruption events in crystallization reactors can cause fine struvite particle washout followed by P solubilization, leading to decreases in EBPR effluent quality, yet modeling tools do not exist to quantify plantwide impacts of struvite loss. To understand the impacts of struvite loss and dissolution on EBPR, this work first quantifies the dissolution rate of field-harvested struvite using the surface area-dependent shrinking object model and presents a novel particle population balance dissolution modeling tool for integration with a plantwide process simulator (SUMO). Analysis of time series P concentration data from dissolution experiments yields a rate constant of 1.14 mm min-1. Simulations of intra-plant phosphorus dynamics indicate that when struvite reactors operate with a high capture efficiency, the majority of influent orthophosphate can be captured through sidestream precipitation. In the event of struvite loss, large particles would not fully dissolve and are removed through sedimentation during primary clarification without significant disruption of EBPR. In contrast, the loss of 200 μm-sized struvite particles can lead to a difference in effluent phosphate of up to 0.8 mg P/L. Our results suggest that surface area-dependent models are essential to quantify the impacts of struvite loss and that reactor design should center on particle retention, rather than conversion of soluble P to struvite.
AB - The combination of enhanced biological phosphorus removal (EBPR) with sidestream struvite precipitation is a synergistic treatment approach for P removal and recovery. However, periodic disruption events in crystallization reactors can cause fine struvite particle washout followed by P solubilization, leading to decreases in EBPR effluent quality, yet modeling tools do not exist to quantify plantwide impacts of struvite loss. To understand the impacts of struvite loss and dissolution on EBPR, this work first quantifies the dissolution rate of field-harvested struvite using the surface area-dependent shrinking object model and presents a novel particle population balance dissolution modeling tool for integration with a plantwide process simulator (SUMO). Analysis of time series P concentration data from dissolution experiments yields a rate constant of 1.14 mm min-1. Simulations of intra-plant phosphorus dynamics indicate that when struvite reactors operate with a high capture efficiency, the majority of influent orthophosphate can be captured through sidestream precipitation. In the event of struvite loss, large particles would not fully dissolve and are removed through sedimentation during primary clarification without significant disruption of EBPR. In contrast, the loss of 200 μm-sized struvite particles can lead to a difference in effluent phosphate of up to 0.8 mg P/L. Our results suggest that surface area-dependent models are essential to quantify the impacts of struvite loss and that reactor design should center on particle retention, rather than conversion of soluble P to struvite.
KW - dissolution
KW - fines loss
KW - nutrient recovery
KW - population balance modeling
KW - shrinking object model
UR - http://www.scopus.com/inward/record.url?scp=85140308206&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85140308206&partnerID=8YFLogxK
U2 - 10.1021/acsestengg.1c00404
DO - 10.1021/acsestengg.1c00404
M3 - Article
AN - SCOPUS:85140308206
SN - 2690-0645
VL - 2
SP - 874
EP - 885
JO - ACS ES and T Engineering
JF - ACS ES and T Engineering
IS - 5
ER -