Acknowledgements National Center for Combustion Research and Development, IIT Madras is funded by Department of Science and Technology, Govt. of India Objectives • To study the kinetic modeling for efficient design of thermochemical process for e-waste pyrolysis. • To understand the pyrolysate composition obtained from pyrolysis of e- waste under fast pyrolysis conditions. Conclusions UNRAVELLING THE PYROLYSIS KINETICS AND PRODUCT FORMATION FROM ELECTRONIC WASTE J.V. Jayarama Krishna, Suyash S. Damir, and Dr. R. Vinu Department of Chemical Engineering and National Center for Combustion Research and Development, Indian Institute of Technology Madras, Chennai – 600036, India Email:jayaramjv17@gmail.com Results and Discussions • The apparent activation energies calculated using KAS, FWO, and Vyazokin methods behave similarly with conversion and portray the existence of a complex multi-step reaction regime. The accuracy of the kinetic parameters was improved using DAEM. The quality of the fits obtained using DAEM is greater than 92% and 96% for DTG and conversion plots respectively. • The choice of five, six, and two Gaussians were made to describe pyrolysis behaviour of PCB, PCB : KB (1 : 1 wt./wt.), and KB respectively. • The mean activation energy and pre-exponential factor for PCB, PCB : KB (1 : 1 wt./wt.), and KB are in the range of 129-197, 131-202, 127-208 kJ mol-1 and 107-1012, 109-1013, 108-1013 s-1 respectively. Figure 6. Experimental and predicted DTG curves at 10 oC min-1 for (a) PCB, (b) PCB : KB (1 : 1 wt./wt.), and (c) KB samples. Experimental and fitted DTG curves at 20 oC min-1 for (d) PCB, (e) PCB : KB (1 : 1 wt./wt.), and (f) KB samples. Feedstock Characterization Table 1. Ultimate and Proximate analysis of E-waste 100 200 300 400 500 600 700 800 900 0.000 0.002 0.004 0.006 0.008 0.010 100 200 300 400 500 600 700 800 900 0.000 0.002 0.004 0.006 0.008 0.010 100 200 300 400 500 600 700 800 900 0.000 0.002 0.004 0.006 0.008 0.010 0.012 0.014 100 200 300 400 500 600 700 800 900 0.000 0.002 0.004 0.006 0.008 0.010 0.012 100 200 300 400 500 600 700 800 900 0.000 0.005 0.010 0.015 0.020 100 200 300 400 500 600 700 800 900 0.000 0.005 0.010 0.015 0.020 FitDTG=96.5% (a) Expt Model Peak1 Peak2 Temperature ( oC) d/dT (1/K) d/dT (1/K) d/dT (1/K) FitDTG=96% (b) Expt Model Peak1 Peak2 Peak3 Peak4 Peak5 FitDTG=97.6% (c) FitDTG=97.5% (e) (d) Expt Model Peak1 Peak2 Peak3 Peak4 Peak5 Peak6 Expt Model Peak1 Peak2 Peak3 Peak4 Peak5 Expt Model Peak1 Peak2 Peak3 Peak4 Peak5 Peak6 FitDTG=96.8% Temperature ( oC) FitDTG=96.5% (f) Expt Model Peak1 Peak2 100 120 140 160 180 200 220 240 0.00 0.02 0.04 0.06 0.08 0.10 0.12 100 120 140 160 180 200 220 240 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 100 120 140 160 180 200 220 240 0.00 0.05 0.10 0.15 0.20 0.25 0.30 197 kJ mol -1 190 kJ mol -1 180 kJ mol -1 168.5 kJ mol -1 Peak1 Peak2 Peak3 Peak4 Peak5 PeakSum Activation Energy (kJ mol -1) (a) 129 kJ mol -1 202 kJ mol -1 131 kJ mol -1 199 kJ mol -1 195 kJ mol -1 178.5 kJ mol -1 168.5 kJ mol -1 (b) Gaussian distribution function, f(E) (mol kJ -1) Peak1 Peak2 Peak3 Peak4 Peak5 Peak6 PeakSum 128 kJ mol -1 207 kJ mol -1 (c) Peak1 Peak2 PeakSum Aliphatic HC Aromatic HC N-Aromatic HC O-Aromatic HC Other Oxygenates Halogened compounds -30 -20 -10 0 10 20 0 10 20 30 40 50 60 (b) (a) Sd(%) Selectivity (%) PCB : KB 1 : 0 PCB : KB 3 : 1 PCB : KB 1 : 1 PCB : KB 1 : 3 PCB : KB 0 : 1 PCB : KB 1 : 3 PCB : KB 1 : 1 PCB : KB 3 : 1 0 5 10 15 20 25 30 35 40 0 1 2 3 4 0 5 10 15 20 0 5 10 15 20 0 5 10 15 20 0 5 10 15 20 C6H10O5 C18H20N2 C30H50 C15H16O2 C16H32O2 OP(OC6H5)3 C6H5OH (e) Retention Time(min) C12H13N C9H10 C10H11N C30H50 C8H8 C12H13N C9H10 C14H18O5 C14H18O5 C10H11N C13H12N2 C13H12N2 C8H8 (d) (c) Intensity(x10 7 ion count) C12H13N C9H10 C14H18O5 C14H18O5 C12H14 C30H50 C30H50 C14H18O5 C10H11N C13H12N2 C8H8 (b) C12H13N C9H10 C14H18O5 C12H14 C30H50 C14H18O5 C10H11N C13H12N2 (a) C8H8 100 200 300 400 500 600 700 800 900 0.0 0.2 0.4 0.6 0.8 1.0 100 200 300 400 50