Data for global power demand and solar PV output matching

Area of Science:

• Renewable Energy Systems
• Energy Data Analytics

Background:

• Growing reliance on solar energy requires enhanced data for matching photovoltaic (PV) generation with power demand.
• Accurate datasets are essential for evaluating the self-consumption rates of PV systems globally.

Purpose of the Study:

• To present data resources for analyzing the self-consumption rates of photovoltaic systems on a global scale.
• To provide comprehensive datasets that facilitate the analysis of solar energy integration and demand matching.

Main Methods:

• Data compilation from selected geographical sites (26-60° latitude in Europe, Asia, Latin America).
• Inclusion of power demand data ranging from household to national scales.
• Utilization of both measured and simulated data with time resolutions of one hour and one minute.

Main Results:

• The presented data is formatted in figures for ease of analysis.
• The datasets cover diverse geographical locations and scales of power demand.
• Data includes both real-world measurements and simulations for comprehensive analysis.

Conclusions:

• The provided data sets are valuable for researchers and analysts studying solar energy self-consumption.
• This resource supports a better understanding of photovoltaic system performance and integration into power grids.
• The data facilitates global-scale analysis crucial for renewable energy policy and infrastructure development.