Taking advantage of climate science may be the key to addressing climate change’s impact on green energy production and ensuring the world has a reliable supply of clean energy. Climate science refers to the study of climatic conditions, how they change over time, and how they are influenced by human and natural factors.
With climate change increasingly affecting green energy output, climate science could play a critical role in strengthening the world’s renewable energy supply chain. In Europe, energy planners are growing concerned about prolonged windless and cloudy weather, which could disrupt clean energy generation.
Dubbed “Dunkelflaute,” this phenomenon typically occurs in winter, making it incredibly difficult for European nations to maintain solar and wind energy production. During such periods, countries may be forced to rely on fossil fuel-generated electricity.
Additionally, World Meteorological Organization (WMO) climate and energy expert Hamid Bastani explains that unusually low rainfall caused hydropower production to drop by more than half in Namibia and Sudan. Many other regions have seen their renewable energy supply chains impacted by climate change.
Experts warn that climate change could threaten green energy production by introducing volatility into the clean energy sector and disrupting renewable energy generation and manufacturing. With the world making significant progress in transitioning to green energy, renewables now supply a growing share of global electricity needs.
The challenge is that renewable energy sources are inherently intermittent. While a coal-fired power plant can generate energy at any time regardless of weather conditions, renewables such as solar and wind depend on environmental factors. Climate change can exacerbate these factors.
Climate intelligence, leveraging technology, data, and artificial intelligence (AI), could be integral to strengthening the renewable energy supply. Climate science integrates climate forecasts, data analysis, and scientific modeling into infrastructure planning, helping to make clean energy systems more resilient to climate change.
As climate patterns become more unpredictable, past climate data is no longer sufficient for designing clean energy infrastructure. By using climate forecasting to predict seasonal variations in solar radiation, precipitation, and wind patterns, energy planners can anticipate potential energy surpluses or shortages.
For example, in Chile, hydropower energy output surged by 80% in November 2023 due to unexpected heavy rainfall. If Chilean energy planners had access to advanced climate forecasting tools, they could have predicted the surge in hydropower production and optimized their energy storage and distribution strategies.
Similarly, climate science can help energy planners anticipate future climate-driven energy shortages, allowing them to develop solutions years in advance to stabilize renewable energy supplies. By applying climate science, the world can usher in a new age of renewable energy, making clean power more resilient, efficient, and widely accessible.
As climate science bridges the existing knowledge gaps on how best to transition to renewable energy sources, enterprises like SolarBank Corp. (NASDAQ: SUUN) (Cboe CA: SUNN) (FSE: GY2) are bound to come up with even more innovative solutions to address the existing market needs.
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