<p>Static B₁₀ Lifetime Si-IGBT based PV Inverter.</p>

A dataset containing reliability simulation results for a 3 kW grid-connected photovoltaic inverter system. The data was generated by author Sainadh Singh Kshatri using Monte Carlo simulation with 10,000 samples to model lifetime with a two-parameter Weibull distribution. It compares the B10 lifetime and performance metrics of conventional IGBT, super junction MOSFET, silicon carbide MOSFET, and gallium nitride HEMT based inverters under a real-time mission profile for Narsapur, India.

Use Cases

• Compare the reliability and efficiency of wide-bandgap vs. conventional semiconductor inverters based on the B10 lifetime metric.
• Analyze the impact of environmental mission profiles on photovoltaic inverter performance based on solar irradiance and ambient temperature data.
• Model power electronic device lifetime using Weibull distribution parameters derived from Monte Carlo simulation.
• Evaluate switch losses, inverter efficiency, and output power for different semiconductor technologies in a PV application.

Strengths

• Simulation includes 10,000 Monte Carlo samples with 5% parameter variation for robust statistical analysis.
• Compares four distinct semiconductor technologies (IGBT, SJ-M, SiC-M, GaN-H) for a specific 3 kW PV system.
• Analysis is based on a one-minute resolution yearly mission profile for a real location (Narsapur, India).
• Dataset is licensed under CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope or highly summarized results.
• Row count and specific column-level documentation are unknown; field semantics must be inferred after download.
• Data is based on simulation models; validation against physical hardware measurements is not confirmed.

Provenance

Source

figshare, author Sainadh Singh Kshatri.

Collection Method

Monte Carlo simulation applied to a modeled 3 kW photovoltaic inverter system under a defined mission profile.

Freshness

Last updated 2026-04-30 17:41:41; freshness should be verified.

Geography

Narsapur, India.