Reduction of Carbon Footprint of Dynamical System Simulation

Computer simulation, a powerful tool used in various scientific and engineering fields, boasts strong mathematical and data processing capabilities. However, its environmental impact, particularly carbon emissions and contribution to global climate change, has been largely overlooked. This study aims to improve code efficiency in simulation runs to reduce CO 2 emissions associated with computational simulation. We apply Horner's method to the NARMAX model, examining three classic chaotic systems: Lorenz, Rossler, and Mackey-Glass. Results reveal a substantial decrease of 27.86% in CO 2 emissions, all while maintaining model accuracy. The proposed scheme provides a feasible and sustainable solution for reducing the carbon footprint associated with computational simulation.