TY - JOUR
T1 - Harnessing waste-to-energy potential from plastic waste co-incineration
AU - Kijo-Kleczkowska, Agnieszka
AU - Gnatowski, Adam
AU - Krzywanski, Jaroslaw
AU - Kwiatkowski, Dariusz
AU - Iliev, Iliya
AU - Beloev, Ivan
AU - Shahzad, Muhammad Wakil
AU - Tariq, Rasikh
PY - 2025/4/1
Y1 - 2025/4/1
N2 - The development of civilization has resulted in increasing waste, including plastic. Strict legal regulations enforce the limitation of waste storage. The best neutralization method is thermal utilization, with the possibility of heat recovery. The primary objective of this paper is to conduct a novel analysis of the results of thermal tests in the air for selected polyamide, biomass, coal sludge, hard coal, and fly ashes wastes and their mixtures using thermo-gravimetry, differential scanning calorimetry, and mass spectrometry. The focus is particularly on the exothermic effect and CO2 emission from the combustion of these waste mixtures. This unique approach to waste management research promises to shed new light on the thermal behavior of waste materials and their environmental impact. Adding fly ashes significantly reduces exothermic effects, while including biomass, coal, and coal sludge wastes in the plastic notably amplifies exothermic effects. Adding coal sludge, biomass, and fly ash to the plastic waste substantially decreases CO2 emissions. However, supplementing hard coal with this plastic waste leads to a marked increase in CO2 emissions, albeit still lower than coal alone. These findings underscore the crucial role of waste composition in the exothermic effects and CO2 emissions during combustion. The innovation of the article results from the combination of experimental thermal research with the use of artificial intelligence to model thermal effects and CO2 emissions. The paper introduces the fuzzy logic methods-based model, which enables the estimation of total exothermic impact and CO2 emissions. Due to the absence of such tools, the developed Single Input and Multiple Outputs model brings a new framework for managing thermal processes in waste-to-energy systems. The model delivers new optimization functionalities for sustainable development and increased energy efficiency within the net-zero emissions strategy by providing insights into the energy potential and environmental implications essential for combating climate change, which is vital in the energy discipline.
AB - The development of civilization has resulted in increasing waste, including plastic. Strict legal regulations enforce the limitation of waste storage. The best neutralization method is thermal utilization, with the possibility of heat recovery. The primary objective of this paper is to conduct a novel analysis of the results of thermal tests in the air for selected polyamide, biomass, coal sludge, hard coal, and fly ashes wastes and their mixtures using thermo-gravimetry, differential scanning calorimetry, and mass spectrometry. The focus is particularly on the exothermic effect and CO2 emission from the combustion of these waste mixtures. This unique approach to waste management research promises to shed new light on the thermal behavior of waste materials and their environmental impact. Adding fly ashes significantly reduces exothermic effects, while including biomass, coal, and coal sludge wastes in the plastic notably amplifies exothermic effects. Adding coal sludge, biomass, and fly ash to the plastic waste substantially decreases CO2 emissions. However, supplementing hard coal with this plastic waste leads to a marked increase in CO2 emissions, albeit still lower than coal alone. These findings underscore the crucial role of waste composition in the exothermic effects and CO2 emissions during combustion. The innovation of the article results from the combination of experimental thermal research with the use of artificial intelligence to model thermal effects and CO2 emissions. The paper introduces the fuzzy logic methods-based model, which enables the estimation of total exothermic impact and CO2 emissions. Due to the absence of such tools, the developed Single Input and Multiple Outputs model brings a new framework for managing thermal processes in waste-to-energy systems. The model delivers new optimization functionalities for sustainable development and increased energy efficiency within the net-zero emissions strategy by providing insights into the energy potential and environmental implications essential for combating climate change, which is vital in the energy discipline.
KW - artificial intelligence
KW - biomass
KW - energy efficiency
KW - net-zero emission
KW - plastic wastes
KW - sustainability
UR - http://www.scopus.com/inward/record.url?scp=105001706288&partnerID=8YFLogxK
U2 - 10.12913/22998624/201347
DO - 10.12913/22998624/201347
M3 - Article
AN - SCOPUS:105001706288
SN - 2299-8624
VL - 19
SP - 232
EP - 247
JO - Advances in Science and Technology Research Journal
JF - Advances in Science and Technology Research Journal
IS - 5
ER -