Previsão da eficiência de destiladores solares para geração de volume de lixiviado tratado utilizando programação genética

Abstract

The leachate, a highly polluting liquid resulting from the decomposition of solid waste in landfills, presents significant challenges for waste management and environmental preservation. Its complex composition, containing organic and inorganic substances, can contaminate soil and groundwater, representing risks to human health, as well as environmental impacts. In this context, this study proposes to investigate the application of Genetic Programming to predict the efficiency of solar stills in generating leachate volume. The methodology involves correlating parameters such as leachate temperature, relative humidity, solar radiation level, and precipitation, to maximize leachate volume during the solar distillation process. This research is based on theoretical foundations of Genetic Programming, incorporating the principles of natural selection and solution manipulation to find solutions that best meet the objective of predicting leachate volume. In the results obtained, the potential of Genetic Programming to find functions that predict the efficiency of solar stills is highlighted, emphasizing its ability to find optimized solutions in a complex search space. Additionally, it contributes to advancing knowledge on the application of technologies in the field of sanitation, providing valuable insights for future research.