Algae Pond — Glen Rose, Texas

This private pond in Glen Rose, Texas had a long history of invasive algae buildup and visible surface impairment. The pond was approximately 15 feet deep, with algae reportedly present for more than 20 years.
PWT evaluated the pond using the Smart MACCMOP™ platform and compared before-and-after field observations with laboratory testing performed by an EPA-certified lab. Selected results showed meaningful movement across several key measurements, including blue-green algae taxa, cyanobacteria, orthophosphate, iron, and algae analytes.
Lab reports available upon request.
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Municipal Wastewater - Louisiana

This Louisiana municipal wastewater pond case study evaluated the performance of a 25 HP Smart MACCMOP™ unit in an active
wastewater setting. The Smart MACCMOP™ platform was used to improve movement, oxygen transfer, circulation, and treatment contact within the pond.
The purpose of this case study is to show how hydrodynamic circulation and oxygenation can support measurable improvement in impaired water systems when applied to the right site conditions.
Results are based on selected field measurements and should be considered site-specific rather than universal performance guarantees.
 Lab reports available upon request.
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Produced Water Field Test

In a 2024 West Texas produced-water field deployment, the Smart MACCMOP™ platform was operated in a live frac pond under continuous inflow conditions. The field summary highlights selected directional observations from the deployment, including estimated inflow, reported daily truckload volume, observed deep-water lift, continuous operation, and measured ORP movement over the test period.
The purpose of this case study is to show how continuous full-column hydrodynamic treatment may support frac ponds and produced-water management by improving circulation, disrupting stratification, engaging deeper water, and helping stabilize challenging field conditions.
Lab reports available upon request.
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Disaster-Water Response

Disasters rarely end where the visible damage stops. Hurricanes, floods, fires, infrastructure failures, industrial accidents, and major spills can create a second emergency when contaminated water begins moving into rivers, lakes, wetlands, canals, lagoons, estuaries, and coastlines.
PWT’s early technology was part of the coordinated response. Hurricane Rita arrived less than one month after Katrina, on September 24, 2005.

Disaster Water Response Model

Wastewater Pond: Cheese

The case study focused on improving pond performance through continuous circulation, oxygenation, and full-column hydrodynamic engagement.
Selected laboratory measurements showed meaningful reductions across several important wastewater indicators, including total nitrogen, Kjeldahl nitrogen (TKN), nitrate-nitrite, and biochemical oxygen demand (BOD), while oil and grease remained non-detect throughout the measured interval.
As with all field applications, results are site-specific and should be evaluated in the context of pond characteristics, loading conditions, and treatment objectives.
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Pulp & Paper Mill — MACCMOP vs AquaJets Comparison

This case study summarizes PWT’s comparative analysis of a pulp and paper mill wastewater system that historically operated with legacy 50 HP MACCMOP™ units from 2010–2023. After the legacy system was replaced with 72 AquaJets, PWT reanalyzed the operating profile using MACCMOP V3.0 performance assumptions and annualized energy, cost, emissions, and retained-value calculations.
The comparison highlights the difference between a high-horsepower, multi-unit aeration approach and a lower-horsepower MACCMOP V3.0 configuration designed to deliver broad pond engagement, circulation, and oxygenation with significantly less installed horsepower.
The visual summary also compares aeration footprint and annualized operating impact, showing how a reengineered Smart MACCMOP deployment may reduce energy demand.
Results are based on PWT’s comparative analysis and annualized assumptions. Site-specific performance should be evaluated against actual operating conditions, energy rates, pond geometry, treatment objectives, and verified facility data.
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