Experimental Measurement and Prediction of Heating Values of Municipal Solid Waste

Abstract

The weight percentage of food waste, plastics and rubber, paper, textile, weed and wood, and leather were measured for dry-base municipal solid wastes in a city of west China respectively. The dry higher heating value, wet higher heating value, and wet lower heating value of municipal solid wastes were also measured respectively. Based on the measured physical compositions data of wastes, three models were developed to predict three kinds of heating values respectively by the multiple linear regression method. The prediction results were compared with three predictive models from different regions in the world, and the predictive results of the developed models are the most accurate.