"Green and sustainable remediation can be further environmentally friendly by using renewable energy systems in place of utility-provided power. This project includes the installation of a single-axis tracking photovoltaic (PV) array at a former dry cleaning site that is undergoing remediation under the Missouri Department of Natural Resources (MODNR) Dry cleaning Environmental Response Trust (DERT) Fund program. The PV array provided power to a positive displacement piston pump that extracted ground water from a 15 m deep monitoring well. The tetrachloroethene (PCE)-contaminated ground water was treated using granular activated carbon (GAC) units prior to discharge to the local publicly owned treatment works (POTW). The system included a linear current booster that eliminated the need for batteries but meant that the system would only operate at or above a solar radiation threshold. A datalogger continuously collected radiation, flowrate, and electrical data, and water quality samples were regularly collected to quantify the mass of PCE and PCE-associated products that were removed from the aquifer. There were several challenges encountered during the project, the greatest of which was the low aquifer yield and competing remediation activities. Still, a stochastic analysis was performed to estimate the average daily flowrate for any given month. A long-form model analyzed the flowrate as a function of the power consumed by the pump, with consideration given to the renewable, electrical, and mechanical energy transformations. A short-form model was also analyzed where daily flowrates were solely a function of daily observed radiation. Radiation data was obtained from a publically-available resource and compared to the actual observed radiation. The project provides means for predicting PV-powered pumping performance at other sites"--Abstract, page iv.
Elmore, A. Curt
Cawlfield, Jeffrey D.
Geosciences and Geological and Petroleum Engineering
M.S. in Geological Engineering
Missouri University of Science and Technology. Energy Research Development Center
Missouri. Department of Natural Resources
Triangle Environmental Science and Engineering Inc.
Missouri University of Science and Technology
xi, 65 pages, 210 pages
© 2011 Erica Renée Collins, All rights reserved.
Thesis - Open Access
Groundwater -- Purification -- Equipment and supplies -- Design and construction
Pumping machinery -- Design and construction
Renewable energy sources
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Collins, Erica Renée, "Using conditional probability to predict solar-powered pump-and-treat performance" (2011). Masters Theses. 5127.