Smart Meter and Heat Pump Control Data for PV Self-Consumption

A simulation-based dataset from a paper discussing a control strategy for variable speed heat pumps. The approach uses real-time smart meter readings to adjust compressor speed based on available photovoltaic power, tested in a detailed building simulation for a German multi-family house. The research indicates a 6% increase in PV self-consumption compared to heat-driven control.

Use Cases

• Training models for predictive control of heat pumps based on real-time electricity generation data.
• Analyzing the impact of thermal storage size on photovoltaic self-consumption rates.
• Benchmarking energy management strategies for distributed generation in multi-family buildings.

Strengths

• Based on a detailed building simulation methodology mentioned in the description.
• Specific performance result cited: a 6% increase in PV self-consumption.
• Context includes a defined PV system size of 10kWp and a German multi-family house scenario.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is simulation-derived; real-world performance may vary.

Provenance

Source

David S. Fischer via paperswithcode

Collection Method

Generated from a detailed building simulation as described in the associated paper.

Geography

Germany (implied by the multi-family house case study)