Optimization of Reactor’s Temperature and Catalyst Weight in Polymeric Waste Fuel Conversion Process

Today with significant increase in production of polymeric products and advances in polymer science and technology, the importance of efficient management of polymeric waste has gain an even more significance. From efficient and practical solutions proposed in this field, recycling these wastes in order to produce gaseous and liquid fuels can be named as a valid and feasible solution. In addition to protecting the environment, this solution is a good replacement for natural fuels. Therefore, this research aims to increase the fuel efficiency and quality of plastic waste products via catalytic pyrolysis process. In this research, an expanded mathematical model is presented, and by using two methods of response surface and genetic algorithm, the proposed model and its parameters (reactor’s temperature and catalyst weight), for finding the optimal conditions shall be investigated. According to evaluation of base variance algorithm, the scale of deviation based on the expanded model, for liquid and gaseous fuel efficiencies is calculated to be 0.9641 and 0.9655 respectively.