<p>Static B<sub>10</sub> Lifetime SJ-MOSFET based PV Inverter.</p>
by Sainadh Singh Kshatri·Updated 1mo ago
5.5 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
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 the B10 lifetime of various semiconductor components under a one-minute resolution yearly mission profile from Narsapur, India. It compares the performance of conventional IGBT, super junction MOSFET, silicon carbide MOSFET, and gallium nitride HEMT based inverters.
Use Cases
Compare the B10 lifetime and efficiency of wide-bandgap semiconductors versus conventional IGBTs based on the simulation results.
Model inverter component failure rates under specific environmental conditions based on the solar irradiance and ambient temperature mission profile.
Analyze the relationship between switch losses, inverter efficiency, and output power for different semiconductor technologies as described in the study.
Strengths
Simulation includes 10,000 Monte Carlo samples with 5% parameter variation for statistical robustness.
Analysis is based on a real-time, one-minute resolution yearly mission profile for a specific location (Narsapur, India).
Directly compares four distinct semiconductor technologies (IGBT, SJ-M, SiC-M, GaN-H).
Limitations
Dataset is very small at 5.5 KB, indicating limited scope or a summary of results rather than raw simulation data.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
figshare, author Sainadh Singh Kshatri.
Collection Method
Data was generated via Monte Carlo simulation of a photovoltaic inverter system model.
Time Range
Covers a simulated yearly mission profile.
Freshness
Last updated 2026-04-30 17:41:43; freshness should be verified.
Geography
Simulation is based on environmental data from Narsapur, India.
Data is provided in XLS format; users will need compatible spreadsheet software.