Application of Renewable Energies and Statistical Techniques for Energy Optimization and Carbon Footprint Mitigation in Sporting Events

Abstract

The organization of large-scale sporting events involves high energy consumption and, therefore, a significant emission of greenhouse gases. This research analyzes the implementation of renewable energy sources along with statistical analysis and optimization techniques as key strategies to reduce the carbon footprint in these events. A case study was conducted at three recent international sporting events, applying multivariate analysis and statistical simulations to assess the energy efficiency and environmental impact of various renewable solutions, such as solar and wind power. The results show reductions of up to 40% in emissions with an efficient and planned use of these technologies. The study concludes that the combination of statistical and renewable tools is not only feasible, but essential for a sustainable transition in the sports field.