新能源如何告别“靠天吃饭”？

Core Viewpoint - The report titled "Global Wind, Solar, and Hydropower Capacity Forecast 2026" introduces a comprehensive predictive framework for renewable energy, integrating wind, solar, and hydropower, aimed at enhancing the stability and reliability of power systems in the face of climate variability [1][2]. Group 1: Predictive Framework and Methodology - The report employs interdisciplinary "meteorology-energy" coupling technology to quantify the randomness of renewable energy generation, transforming climate variability into a core variable for power system analysis [2]. - It establishes a collaborative framework for forecasting that includes meteorological element prediction, geographical feature identification, and generation capacity analysis, enabling monthly and annual quantification of global renewable energy capacity [2]. Group 2: Regional Insights and Predictions - The report forecasts that by 2026, China's photovoltaic generation capacity will increase by approximately 25% due to growth in installed capacity, while hydropower will exhibit regional differentiation with increases in the northwest and decreases in the southwest [2]. Group 3: Practical Applications and Implications - The predictive capabilities outlined in the report are crucial for macro planning, grid planning, and operational strategies for power generation companies, helping to address the uncertainties caused by climate change [4][5]. - For power generation companies, annual forecasts serve as a "navigation map" for maintenance planning, participation in medium- to long-term electricity trading, and optimizing market pricing strategies, directly impacting economic benefits [5]. Group 4: Global Perspective and China's Role - The report reflects China's advancements in renewable energy and its commitment to sharing knowledge globally, positioning the country as a leader in green low-carbon development [8]. - By 2025, China is expected to add 440 million kilowatts of renewable energy capacity, accounting for over 60% of the global total, showcasing its significant role in addressing climate uncertainties [8]. Group 5: Future Expectations - Industry experts anticipate that the predictive framework will evolve towards greater precision, collaboration, and long-term forecasting, including assessments of extreme weather impacts and cross-regional resource complementarity [8].