As global concerns regarding climate change intensify, the transition from fossil fuels to renewable energy sources has become a critical focus for policymakers. This paper utilizes fundamental algebraic concepts—specifically linear functions and systems of equations—to model the projected growth of solar and wind energy adoption. By analyzing data trends, we determine the "break-even point" where renewable energy capacity is predicted to surpass traditional fossil fuel capacity, demonstrating the practical utility of introductory algebra in solving real-world environmental problems.