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April 18, 2026Fractals1 citations

Numerical and Theoretical Simulation for the Carbon Absorption-Emission Model in its Fractional Form Using an Efficient Numerical Technique

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MKM. M. KhaderMAM. AdelHAHijaz Ahmad

Key Points

  • The study aims to model carbon absorption and emission using fractional differential equations, focusing on stability and equilibrium.
  • Developed a carbon absorption-emission model using fractional differential equations.
  • Utilized Simpson’s 1/3 rule for numerical integration of fractional integral equations.
  • Compared the new numerical method’s results with the Runge-Kutta method of fourth-order.
  • The new numerical technique proved to be efficient in simulating carbon absorption-emission models.
  • Results from the new method showed enhanced accuracy compared to traditional methods.

Abstract

Several scholars have initiated comprehensive research on the peak levels of Carbon dioxide (CO 2 ) emissions and the concept of Carbon neutrality due to the significant harm caused by global warming. This paper looks at how to illustrate and describe the Caputo-Fabrizio (CF) fractional delayed system for carbon absorption and emission. This system includes a pair of fractional differential equations (FDEs). The analysis of the model’s equilibrium point and stability is given particular attention. We evaluate numerically derived fractional integral equations using one of the most effective numerical integration techniques, Simpson’s 1/3 rule. Furthermore, we introduce several principles about the convergence of the suggested numerical scheme. We can check how effective and accurate the new process is by comparing its results to those of the Runge-Kutta method of fourth-order (RK4M) and other studies. The findings indicate that the technique serves as an efficient and a straightforwardstrument for simulating solutions to these problems.

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Cite This Study

Khader et al. (2026) studied this question.

synapsesocial.com/papers/69e3216540886becb65409d6https://doi.org/10.1142/s0218348x26400621
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