Assessing the complementarity of future hybrid wind and solar photovoltaic energy resources for North America.

Renewable energy plays a key role into achieving the international targets for reducing global greenhouse gas emissions. Considering that these forms of energy are dependent on climate conditions and that their variability occurs at different time scales, it is important to analyze the complementarity to ensure a stable power supply to the grid in the context of climate change. A multi-model ensemble of 10 global climate models from the CMIP6 project was used to analyze the complementarity between wind and solar photovoltaic power in North America from 2025 to 2054 under the SSP2-4.5 scenario. This complementarity was evaluated using two indices that account for the similarity between the two resources (Similarity index, S i) and the temporal complementarity (Concurrency index, C i). The combination of the two resources reduced spatial heterogeneity in terms of annual mean power in North America. The highest values of S i were detected west of California and in the Caribbean Sea, and the lowest were found in Mexico. Regarding C i , the highest values were detected in ocean areas north of 30°N. Both indices were divided into four categories to assess the most suitable areas for combining wind and solar photovoltaic power. Coastal areas in the Gulf of Mexico and substantial areas in the Caribbean Sea are considered optimal in terms of complementarity. Inland, good complementarity was observed on the US-Canada border (e.g., the Great Lakes) and in northern areas such as Alaska or the Labrador Peninsula. The lowest values of complementarity were detected in Mexico. • Global Climate Models simulate well future wind and solar resource in North America. • Complementarity among resources were studied in terms of similarity and concurrency. • Gulf of Mexico and Caribbean Sea are the most suitable areas for combining powers. • Inland, good complementarity was observed on the US-Canada border. [ABSTRACT FROM AUTHOR]