Using Conditional Probability to Predict Solar-Powered Pump-and-Treat Performance
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 17, Issue 1
Abstract
The purpose of remediation projects is to protect human health and the environment by removing harmful substances from the environment. The carbon footprint of an environmental remediation site can be reduced by powering the project with green or sustainable energy. This paper describes a sustainable remediation project that involves the use of a single-axis passive tracking photovoltaic array to power a pump-and-treat system at a Missouri Drycleaning Environmental Response Trust Fund site. The tetrachloroethene-contaminated groundwater is pumped by way of a positive displacement piston pump and treated using granular activated carbon. Previous works studying the performance of solar-powered pumping systems were performed using known or constant water heads that are typically unknown at active remediation sites. A stochastic analysis was performed using the two inherently random variables solar radiation and pumping flow rates. Two models were developed for the estimation of the amount of water that would be pumped from a solar-powered system given (1) the amount of solar radiation observed at the site, or (2) the amount of energy consumed by the pump, both of which can be determined by using data from the free online resource PVWatts. The results showed that even given substantial effects from bioremediation activities, a long-form model was able to accurately predict data within the central range of probabilities for five of the seven months studied.
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Acknowledgments
This project was funded by the Missouri Department of Natural Resources and the Energy Resource and Development Center at Missouri University of Science and Technology.
References
Bolaji, B. O., and Adu, M. R. (2007). “Design methodology for photovoltaic pumping system suitable for rural application in Nigeria.” ASSET Ser. B, 6(2), 120–130.
Christenson, S. (1995). “Contamination of wells completed in the Roubidoux aquifer by abandoned zinc and lead mines, Ottawa County, Oklahoma.”.
Christenson, S. C., Parkhurst, D. L., and Fairchild, R. W. (1994). “Geohydrology and water quality of the Roubidoux aquifer, northeastern Oklahoma.” Oklahoma Geological Survey Circular 96.
Ellis, D. E., and Hadley, P. W. (2009). “Sustainable remediation white paper—Integrating sustainable principles, practices, and metrics into remediation projects.” Rem. J., 19(3), 5–114.
Elmore, A. C., and Gallagher, R. (2009). “Using regional climate center data to predict small wind turbine performance.” Pract. Period. HTRW, 13(1), 14–19.
Fath, H. E. S. et al. (2008). “PV and thermally driven small-scale, stand-alone solar desalination system with very low maintenance needs.” Desalination, 225(1–3), 58–69.
Freeze, A., and Cherry, J. A. (1979). Groundwater, Prentice-Hall, Englewood Cliffs, NJ.
George, R. L., and Maxwell, E. L. (1999). “High-resolution maps of solar collector performance using a climatological solar radiation model.” Proc., 1999 Annual Conf., American Solar Energy Society, Portland, ME.
Gingrich, T., Suthersan, S., Houston, K., and Panhorst, E. (2007). “Groundwater remediation: The evolution of technology.” Pollut. Eng., 39(8), 24–28.
Kenna, J., and Gillett, B. (1985). Solar water pumping. A handbook, Intermediate Technology, London.
Ko, N., and Lee, K. (2010). “Information effect on remediation design of contaminated aquifers using the pump and treat method.” Stochastic Environ. Res. Risk Assess., 24(5), 649–660.
Kou, Q., Klein, S. A., and Beckman, W. A. (1998). “A method for estimating the long-term performance of direct-coupled PV pumping systems.” Solar Energy, 64(1–3), 33–40.
Kugler, V. (2011). “Busy bee laundry and dry cleaners DERT site.” Int. Conf. on Sustainable Remediation, Amherst, MA.
Lai, K. C. K., Surampalli, R. Y., Tyagi, R. D., Lo, I. M. C., and Yan, S. (2007). “Performance monitoring of remediation technologies for soil and groundwater contamination: Review.” Pract. Period. Hazard., Toxic, Radioactive Waste Manage., 11(3), 132–157.
Mantoglou, A., and Kourakos, G. (2007). “Optimal groundwater remediation under uncertainty using multi-objective optimization.” Water Resour. Manage., 21, 835–847.
Maxwell, E., George, R., and Wilcox, S. (1998). “A climatological solar radiation model.” Proc., 1998 Annual Conf., American Solar Energy Society, Albuquerque, NM.
Omer, A. M. (2001). “Solar water pumping clean water for Sudan rural areas.” Renewable Energy, 24(2), 245–258.
Perea, A. R., Amezcua, J., and Probst, O. (2011). “Validation of three measure-correlate-predict models for the long-term prospection of the wind resource.” J. Renewable Sustainable Energy, 3(2), 023105.
Sharma, V. K., Colangelo, A., Spagna, G., and Cornacchia, G. (1995). “Photovoltaic water pumping system: Part II—Design methodology and experimental evaluation of some photovoltaic water pumping systems.” Int. Energy J., 17(2), 121–144.
Soil Survey Staff, Natural Resources Conservation Service (NRCS), U.S. Dept. of Agriculture (USDA). (2011). “Web soil survey.” 〈http://websoilsurvey.nrcs.usda.gov/〉; (Sep. 15, 2011).
Spreng, A. C., and Proctor, P. D. (2001). “Geologic map of the rolla 7.5″ quadrangle.” Missouri Dept. of Natural Resources, Division of Geology and Land Survey, Geological Survey Program.
Vilela, O. C., and Fraidenraich, N. (2001). “A methodology for the design of photovoltaicwater supply systems.” Prog. Photovoltaics: Res. Appl., 9(5), 349–361.
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© 2013 American Society of Civil Engineers.
History
Received: Nov 11, 2011
Accepted: Mar 15, 2012
Published online: Mar 19, 2012
Published in print: Jan 1, 2013
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