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The document details how climate variables from the Copernicus Climate Data Store (CDS) are integrated into the SAVi Energy model to quantify the impact of climate change on various power generation technologies. It provides a comprehensive literature review of how variables like temperature, wind speed, and precipitation affect the load factor and thermal efficiency of coal, gas, nuclear, biomass, hydro, solar, and wind power, as well as the efficiency of the electricity grid. The report includes a simulation for Johannesburg, South Africa, demonstrating that rising temperatures and changing precipitation patterns can significantly reduce the load factor and revenues for thermal and hydropower assets, while potentially increasing the load factor for wind energy.

The document details how authoritative climate data from the Copernicus CDS is integrated into the SAVi model for nature-based infrastructure. It provides a literature review on the impacts of precipitation, vegetation, and temperature on assets like green roofs, wetlands, and urban forests. The report demonstrates the model's application through simulations in Johannesburg, showing how temperature affects phosphorus removal in wetlands and how increasing vegetation cover can mitigate heat-related labor productivity losses.