Evaluation of the CLEEN (Capturing Landfill Emissions for Energy Needs) Model

摘要

Multiple Linear Regression (MLR) analysis was used on the lab scale data to quantify the effect of waste composition, rainfall and ambient temperature on the first-order decay constant (k). A second regression equation was developed from field data from 11 landfills in high-income countries with conventional operation, in order to scale-up the k estimates from the first MLR equation (based on the lab-scale data) to field-scale values; field-scale methane generation rates are lower since conditions are less ideal. The Capturing Landfill Emissions for Energy Needs (CLEEN) model was developed by incorporating both regression equations into the first-order decay based model for estimating methane generation rates from landfills. The CLEEN model can be used for predicting methane generation rate from landfills in high-income countries with conventional operation, receiving rainfall between 2 and 12 mm/day and annual ambient temperature from 20°C to 37°C. Future work will develop scale-up factors to allow the model to be applied in low-income countries and to landfills with bioreactor/enhanced leachate recirculation operation. CLEEN model values were compared to actual field data from 6 US landfills, and to estimates from LandGEM and IPCC. For 4 of the 6 cases, CLEEN model estimates were the closest to actual.