Capacity factors for electrical power generation from renewable and nonrenewable sources

Area of Science:

• Energy Systems Analysis
• Renewable Energy Technologies
• Climate Change Mitigation

Background:

• Decarbonizing global electrical power systems is critical due to climate change and geopolitical instability.
• Ensuring reliability and avoiding blackouts during the energy transition necessitates a clear understanding of power source performance.
• Capacity factor (CF) serves as a vital, performance-based metric for evaluating power generation systems and associated costs.

Purpose of the Study:

• To establish a simple and efficient communication method for energy transition indicators.
• To leverage long-time average capacity factors for calculating required generation capacity.
• To provide data-driven insights for replacing fossil fuel generation with renewables.

Main Methods:

• Calculating long-time average capacity factors for various electricity generation sources.
• Utilizing capacity factors to determine the nominal capacity needed for replacement or expansion.
• Basing calculations on real-world performance data rather than theoretical models.

Main Results:

• Replacing 1 W of fossil fuel capacity requires approximately 4 W of solar photovoltaic (PV) or 2 W of wind power, based on current average CFs.
• Expanding the energy mix to meet future demand necessitates installing 8.8 W of solar PV or 4.3 W of wind power per unit of new demand.
• The explosive growth of solar PV and wind power since 2000 has improved the reliability of their capacity factor data.

Conclusions:

• Capacity factors provide a direct, performance-rooted measure of power generation efficacy and cost-effectiveness.
• Accurate CF data is essential for effective planning and execution of the global energy transition.
• The study quantifies the significant capacity increases required for solar and wind power to substitute fossil fuels.