A Process Optimization Study Of Incineration Technology For Disposal Of Biomedical Waste

Abstract

The present thesis is based on the study of the literature on Biomedical Waste Incinerator available from the developed countries as well as from the developing countries, including the guidelines issued by the Central Pollution Control Board of India, from time to time, such as The Guidelines For Biomedical Waste Incinerator (Revised Draft) 2017 . The Guidelines for Continuous Emission Monitoring Systems, August 2018 and all other guidelines issue up to April 26, 2019 . newlineThe studies covered the history from the start of waste incineration technology to the present era of modern technology. The studies are experimental in nature. The existing incinerators have been visited and by practical experiments, the bottlenecks have been identified. newlineIncineration technology belongs to the Thermo-chemical technology which includes the exothermic as well as the endothermic process. The technology is full of technical terms which are not commonly understood by the general readers. Most of such terms as well as the principles have been presented in the introduction (Chapter-1). newlineThe history of the development of incineration technology in United States and in European Union Countries together with the development in the legislations and regulations have been given. Current scenario of India in the global perspective has also been discussed. newlineTo begin with a mathematical/statistical model has been developed for prediction of the quantity of infectious medical waste likely to be generated in three hospitals of Agra (India). For formulating the model, the data of bed occupancy and quantity of generated waste have been collected by the method of observation and survey conducted for two consecutive years. The data exhibited that there exist a linear co-relation between the bed occupancy and the quantity of waste generated. A quadratic equation has been used for formulating the prediction model. The objective function has been calculated by using the least square method. Average monthly predicted values of biomedical waste are within