Evaluation of life cycle in the process of production and management of PVC waste by LCA method and prediction of toxicity (TEQ) effect of dioxins using Artificial Neural Network method and nonlinear regression

Mohammad Mahdi Shahsavar, Nasim Ghadami, Mehran Akrami, Reza Aghlmand and Mohammad Gheibi*

Today, using plastic tools and materials to meet executive and design needs is considered an integral part of industries such as the construction industry. Among these materials, PVC pipes in equipment and installations or UPVC windows could be mentioned. The missing link in the widespread use and utilization of this material is in the lack of attention to emissions from production and during waste management of the process. This study focuses on library studies to delineate the LCA cycle of air pollution in waste generation and management. At the end of the study, using the ANN artificial neural network method and the tested data, a logical relationship was found between the toxicity effect (TEQ) and the produced PCDD/F dioxins based on Gaussian and exponential models. The results of the obtained models have the ability to predict the toxicity effect with 60% - 70% accuracy.

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Published on: Aug 4, 2021 Pages: 99-102

Full Text PDF Full Text HTML DOI: 10.17352/aest.000045
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