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Testing large landfill sites before construction of gas recovery facilities
Institution:1. GSF Energy Inc., Signal Hill, CA 90806, U.S.A.;1. Department of Milk Technology and Hydrocolloids, Faculty of Food Sciences and Biotechnology, University of Life Sciences in Lublin, Skromna 8, 20-704 Lublin, Poland;2. Department of Biophysics, Faculty of Environmental Biology, University of Life Sciences in Lublin, Poland;3. Department of Fruits, Vegetables and Mushrooms Technology, Faculty of Food Sciences and Biotechnology, University of Life Sciences in Lublin, Poland;4. Institute of Plant Genetics, Breeding and Biotechnology, Faculty of Agrobioengineering, University of Life Sciences in Lublin, Poland;2. Research Station Agroscope Reckenholz-Tänikon ART, Tänikon, 8356 Ettenhausen, Switzerland;3. Chamber of Agriculture Schleswig-Holstein, Futterkamp, 24327 Blekendorf, Germany;2. Division of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT
Abstract:The great variability in landfill refuse characteristics such as moisture, pH, temperature, cellulose content, age, and cover make it difficult to extrapolate test data from one site to another. The quantity of raw extractable gas from 23 GSF test sites was found to range from 4 to 29 1 m−3 day−1 (0.11–0.78 CFD/CY) of refuse. By field testing of sites, the probability of a successful project can be greatly enhanced. On large landfills, the benefits of extensive testing outweigh initial costs. In addition to determining potential gas production, well tests also determine: the location of high perched water zones; concentrations of corrosive trace contaminants so that adequate pretreatment facilities can be designed; and composition of refuse samples to determine the rate of decay. This allows the developer to optimize plant size, resulting in maximum return on investment. As data from landfill tests are used in simulation modelling to predict gas generation rates for designing plant capacity, simulation models that do not use actual site-derived test data can create erroneous results.
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