Reduction of Carbon Footprint of Dynamical System Simulation | IEEE Conference Publication | IEEE Xplore

Reduction of Carbon Footprint of Dynamical System Simulation


Abstract:

Computer simulation, a powerful tool used in various scientific and engineering fields, boasts strong mathematical and data processing capabilities. However, its environm...Show More

Abstract:

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 CO2 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 CO2 emissions, all while maintaining model accuracy. The proposed scheme provides a feasible and sustainable solution for reducing the carbon footprint associated with computational simulation.
Date of Conference: 22-24 November 2023
Date Added to IEEE Xplore: 02 January 2024
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Conference Location: São Bernardo do Campo, Brazil

References

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