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For instance, the lowest hourly PV plus wind power productions are simulated during weather patterns with very regionally low wind speeds for the present-day installation while weather patterns for dark doldrums coincide with the lowest wind plus PV production for the 2050 installation, consistent with the higher share of PV power in 2050.
We consider anomalies in terms of power production and do not simulate electricity demand or transmission. However, over- and underproduction would theoretically correspond to an over- or undersupply, if all else was equal. We assess anomalies in PV and wind power production associated with different weather patterns.
Weather causes extremes in photovoltaic and wind power production. Here we present a comprehensive climatology of anomalies in photovoltaic and wind power production associated with weather patterns in Europe considering the 2019 and potential 2050 installations, and hourly to ten-day events.
Increasing the installed capacities for PV power further reduces anomalies in total production associated with some of the weather patterns, e.g., HNa and HM have now near-average total production (Supplementary Fig. S3) in contrast to the below-average production of −10 and −8% in scenario-2050.
We consider anomalies in terms of power production and do not simulate electricity demand or transmission. However, over- and underproduction would theoretically correspond to an over- or undersupply, if all else was equal. We assess anomalies in PV and wind power production associated with different weather patterns.
For instance, the lowest hourly PV plus wind power productions are simulated during weather patterns with very regionally low wind speeds for the present-day installation while weather patterns for dark doldrums coincide with the lowest wind plus PV production for the 2050 installation, consistent with the higher share of PV power in 2050.
Our findings suggest that weather patterns can serve as indicators for expected photovoltaic and wind power production anomalies and may be useful for early warnings in the energy sector. European countries are collectively facing pressing challenges in securing electricity supply with an increasing share of renewable energy.
A few studies have addressed how synoptic weather conditions influence resources for wind and solar power production, but for past power installations or for a certain region only or limited to 1-day anomalies 5, 6, 7, 8, 9, 10.
Figure 1 shows the structure of a wind-solar-hydro-thermal-storage multi-source complementary power system, which is composed of conventional units (thermal power units, hydropower units, etc.), new energy units (photovoltaic power plants, wind farms, etc.), energy storage systems, and loads.
Accelerating energy transition towards renewables is central to net-zero emissions. However, building a global power system dominated by solar and wind energy presents immense challenges. Here, we demonstrate the potential of a globally interconnected solar-wind system to meet future electricity demands.
In the short-term power balance module of the integrated model, the power complementary process among hydro-wind-solar-storage systems is solved through nonlinear programming (Fig. 1).
To address this, we develop a medium-long-term complementary dispatch model incorporating short-term power balance for an integrated hydro-wind-solar-storage system. This model is applied to a REB containing 21.78 GW of combined wind power (WP) and photovoltaic (PV) capacity.
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