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<p>In this study, simulated chemical processes with both constant and variable kinetic parameters were constructed, with data noise introduced to systematically evaluate the performance of four commonly used isoconversional methods: the Friedman, Kissinger–Akahira–Sunose (KAS), Flynn–Wall–Ozawa (FWO), and modified Friedman isoconversional methods. Results show that those methods’ sensitivity to data noise varies substantially. The Friedman method demonstrates high accuracy in noise-free cases but is strongly affected by noise, leading to large deviations. The KAS and FWO methods are less sensitive to noise but produce inherent deviations when kinetic parameters vary with conversion. The modified Friedman method provides robust performance, yielding accurate results and reduced sensitivity to noise compared with the original Friedman method. The results from this study indicates that the modified Friedman method as the most reliable choice for noisy kinetic data and variable kinetic parameter reaction processes.</p>

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Effect of data noise on activation energies from isoconversional kinetic methods for chemical reaction processes

  • 期刊论文

  • 发表日期：

    2025年11月5日

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  • Biao Pan,
  • Junmeng Cai

摘要

In this study, simulated chemical processes with both constant and variable kinetic parameters were constructed, with data noise introduced to systematically evaluate the performance of four commonly used isoconversional methods: the Friedman, Kissinger–Akahira–Sunose (KAS), Flynn–Wall–Ozawa (FWO), and modified Friedman isoconversional methods. Results show that those methods’ sensitivity to data noise varies substantially. The Friedman method demonstrates high accuracy in noise-free cases but is strongly affected by noise, leading to large deviations. The KAS and FWO methods are less sensitive to noise but produce inherent deviations when kinetic parameters vary with conversion. The modified Friedman method provides robust performance, yielding accurate results and reduced sensitivity to noise compared with the original Friedman method. The results from this study indicates that the modified Friedman method as the most reliable choice for noisy kinetic data and variable kinetic parameter reaction processes.