Applied Chemical Engineering

Simulation of waste medical plastic pyrolysis process using aspen plus V8.8

Kaushalkumar K Barot

Mechatronics engineering Department, Parul Institute of Technology, Parul University, Vadodara, Gujarat, 391760, India

SSPM Sharma

Mechatronics engineering Department, Parul Institute of Technology, Parul University, Vadodara, Gujarat, 391760, India

DOI: https://doi.org/10.59429/ace.v8i1.5643

Keywords: aspen plus V8.8; Redlich-Kwong; LDPE; PP; steady state model

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Abstract

The generation of plastic waste has global concern due to its negative effects on the environment. So, plastic waste (PW) management has emerged as a significantly challenges now global faced.  Pyrolysis is a promising method to reduce pollution from plastic waste by converting waste plastic into char, pyrolytic oil and syngas. In this paper, we designed pyrolytic reactor to minimize medical plastic waste samples to pyrolytic product. This experiment also run through Aspen to compare the result with experimental value.  Syringe and Glucose Bottle material was used for the experiment and simulation with the help of Redlich-Kwong model to simulate the thermal degradation process on LDPE and PP. It was found that solid, oil and Gases formation separate at first stage from the reactor and separation of gas and liquid from vapour formation with the aid of water tube condenser. The key pyrolysis conditions like temperature ranges (e.g., 3°C –400°C), operating pressure (e.g.,1.01bar to 10.13 bar) are added. The study results in the reduction in medical plastic waste collected from Medical Waste Collection centre and which we can use 15 % oil to produce Energy as a fuel in Vehicles. We can use 2% solid char for construction material and also use of 80% gas for as a fuel for burners. The work aims to optimize the pyrolysis of medical plastics for sustainable waste management, energy recovery, and safe disposal of hazardous materials. obtained results demonstrated that a conversion of Low-density polyethylene into liquid fuel up to 15% has been optimum value.

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