Mirror reflection vs carbon footprint: A mathematical substantiation of the solar energy reflection method for counteracting global warming

Objective: To develop and mathematically substantiate a method for counteracting global warming using mirror reflection of solar radiation, and evaluate its effectiveness compared to existing methods, based on reducing carbon footprint. Materials and Methods: Mathematical methods for calculating...

Full description

Saved in:
Bibliographic Details
Main Authors: Anatoliy Zhukov, Walery Zukow
Format: Article
Language:English
Published: Kazimierz Wielki University 2025-01-01
Series:Journal of Education, Health and Sport
Subjects:
Online Access:https://apcz.umk.pl/JEHS/article/view/57919
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objective: To develop and mathematically substantiate a method for counteracting global warming using mirror reflection of solar radiation, and evaluate its effectiveness compared to existing methods, based on reducing carbon footprint. Materials and Methods: Mathematical methods for calculating energy balance, statistical analysis of solar radiation data (4.5-5.4 kWh/m² per day), analysis of global CO₂ emissions (37.8×10¹² kg) were used. Correlation analysis methods, Student's t-test, and calculation of confidence intervals (95%) were applied. Mathematical modeling of reflection efficiency was conducted considering various mirror installation configurations. Results: It was established that one square meter of mirror surface provides reflection efficiency of 280 ± 4.69 W/m² (p < 0.001) and can protect an area of 5,000-11,000 m² from global warming. It was proven that this method compensates for 370-740 kg of CO₂ emissions per year per square meter of mirror. Efficiency can be increased by 40-60% using sun tracking systems and by 30% when placed on marine platforms. Conclusion: The mirror reflection method demonstrates high effectiveness in counteracting global warming, surpassing traditional methods of reducing carbon footprint. The statistical significance of the results and economic feasibility confirms the promise of practical application of the method at both individual and industrial levels.
ISSN:2391-8306