Long-Term Indoor Solar Harvesting Traces with Ambient Sensor Data

ETH Zurich in Zurich, Switzerland, hosts a dataset of long-term indoor solar harvesting traces. It includes energy flow measurements from a solar panel and harvesting circuit, alongside ambient sensor data for illuminance, temperature, humidity, and air pressure. The data was collected at six indoor positions using a custom measurement platform and is presented by author Lukas Sigrist.

Use Cases

• Modeling indoor photovoltaic energy yield based on ambient light conditions.
• Analyzing the correlation between environmental factors like temperature and humidity on energy harvesting efficiency.
• Developing and validating algorithms for power management in energy-harvesting IoT nodes.

Strengths

• Data is jointly monitored, pairing energy harvesting traces with ambient conditions like illuminance, temperature, humidity, and pressure.
• Measurements were taken at six distinct indoor positions, suggesting environmental diversity.
• Data is available in both raw and preprocessed HDF5 formats.

Limitations

• Row count and total dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the description after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

ETH Zurich

Collection Method

Collected using a custom measurement platform with a solar panel, energy harvesting chip, and ambient sensors (TSL45315, BME280).

Geography

Zurich, Switzerland