Multiyear microgrid data from a research building in Tsukuba, Japan.

Area of Science:

• Energy Systems Engineering
• Renewable Energy Technologies
• Data Science

Background:

• Microgrids with renewable energy are typically theoretical; real-world data, especially from research buildings, is scarce.
• Open data for microgrid performance verification is crucial for advancing renewable energy integration.
• Existing research often lacks granular, multiyear datasets for validating theoretical models.

Purpose of the Study:

• To provide a comprehensive, multiyear dataset of a microgrid system in a research environment.
• To facilitate the open verification and refinement of theoretical microgrid models.
• To enable detailed analysis of renewable energy performance and forecasting.

Main Methods:

• Collected second-by-second energy data from a microgrid with solar arrays and battery storage.
• Integrated hourly solar irradiation, electricity prices, and national holiday data.
• Structured the dataset for comparative analysis and predictive modeling.

Main Results:

• A unique, high-resolution dataset covering multiple years of microgrid operation is now available.
• The data allows for detailed efficiency comparisons with other renewable energy technologies.
• Enables correlation analysis between weather parameters and energy generation/consumption.

Conclusions:

• The presented dataset bridges the gap between theoretical microgrid modeling and practical implementation.
• Facilitates advanced research in renewable energy efficiency, forecasting, and grid integration.
• Promotes open science and data-driven advancements in microgrid technology.