Our study delves into the application of computational strategies to address the challenges in sustainable development, with a specific focus on environmental policy and the transition to renewable energy. We explore how advanced data analysis, modeling, and simulation methods can be used to inform policy decisions, optimize the integration of renewable energy sources, and support the broader goal of environmental sustainability. Through a comprehensive analysis of case studies and empirical data, we examine the role of computational strategies in areas such as energy systems modeling, policy impact assessment, and the evaluation of renewable energy deployment strategies. Our findings underscore the potential of computational strategies to enhance decision-making, improve the efficiency of sustainable development initiatives, and accelerate the transition to a more environmentally conscious future. This research provides valuable insights for policymakers, researchers, and practitioners grappling with the complex challenges at the intersection of environmental policy and renewable energy, and offers practical implications for the implementation of sustainable development projects.