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Using a PV-Powered Pump to Remediate Contaminated Ground Water at a Dry Cleaning Site

机译:使用光伏泵修复干洗地点的受污染地下水

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Green and sustainable remediation techniques sometimes involve the substitution of renewable energy systems for utility-provided power. Such a use of renewable energy may be attractive in terms of resource conservation, ease of installation, reduced installation costs, and limited disruption of facility operation. This project includes the installation of a single-axis tracking photovoltaic (PV) array at a former dry-cleaning site that is undergoing remediation under Missouri's Drycleaning Environmental Response Trust (DERT) program. The PV array was used to power a piston pump that extracted shallow ground water and circulated the contaminated ground water through granular activated carbon units prior to discharge to the local publicly owned treatment works (POTW). The PV system included a linear current booster that eliminated the need for batteries but meant that the system would only pump water when there was adequate solar insolation. The system was instrumented to collect insolation and flowrate data, and water quality samples were regularly collected to quantify the mass of PCE (the primary contaminant of concern) that was removed from the aquifer. There were several challenges encountered during the project, the greatest of which was the low aquifer yield and the greater than anticipated GAC consumption rate. A stochastic analysis was performed to characterize the average daily flowrate as a function of the power consumed by the pump, and a comparison of the actual insolation relative to publically-available insolation estimates for the site were conducted. The data provide a means for predicting PV-powered pumping rates at other sites.
机译:绿色和可持续的修复技术有时涉及将可再生能源系统替换为公用事业提供的电力。就资源节约,安装简便,降低的安装成本以及有限的设施运行中断而言,这种可再生能源的使用可能具有吸引力。该项目包括在密苏里州的干洗环境响应信托(DERT)计划进行补救的原干洗地点安装单轴跟踪光伏(PV)阵列。 PV阵列用于为柱塞泵提供动力,该柱塞泵抽取浅层地下水并将受污染的地下水通过颗粒状活性炭单元循环,然后再排放到当地的公共污水处理厂(POTW)。光伏系统包括一个线性电流增强器,该系统无需电池,但意味着该系统仅在有足够的日照的情况下才抽水。该系统用于收集日照和流量数据,并定期收集水质样本以量化从含水层中去除的PCE(关注的主要污染物)的质量。该项目期间遇到了几个挑战,其中最大的挑战是含水层单产低以及GAC消耗率高于预期。进行了随机分析,将平均日流量表征为泵消耗的功率的函数,并对该站点的实际日照量与公众可获得的日照量估计值进行了比较。数据为预测其他站点的光伏发电抽水率提供了一种方法。

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