Solid all-round for its segment
Jinko Solar's Tiger Neo 78HL4-BDV series is designed with the goal of achieving maximum yield from every square meter of installation and stable performance year after year. The use of N-type cells in TOPCon technology helps minimize common power losses found in older-generation modules and enhances performance in poorer lighting conditions. The key advantage of this series is the bifacial design combined with dual glass - the module can utilize reflected light from the ground, resulting in a real increase in energy production in PV farms, flat-roof installations, and systems with light membranes or ballast. Additionally, high mechanical strength and a robust module structure facilitate design in challenging wind and snowy regions. The Tiger Neo 78HL4-BDV is the choice for investors, EPC contractors, and companies seeking to reduce LCOE, limit degradation risks, and extract more energy from the same installation footprint.
Ranking
Signals from the data
Commercial, utility-scale and cold-climate.
N-type TOPCon cells degrade at approximately 0.4%/year versus ~0.7%/year for P-type PERC modules, with no LID (Light-Induced Degradation) effect. Over a 30-year project lifetime, this translates to several additional percentage points of cumulative energy yield compared to legacy technology.
Top variants of the series reach 23.25% module efficiency, matching direct competitors BYD AURO N NLBK-39 (23.25%) and Einnova Solarline TOPCon (23.25%) and trailing Astronergy ASTRO N5 (23.3%) by only 0.05 pp. The series ranks in the top decile of the 625–650 Wp module segment.
Jinko guarantees at least 87.4% of rated power output after 30 years of operation (degradation ≤0.4%/year) and 99% after Year 1. Many competitors in this price segment offer only 20- or 25-year power warranties, representing meaningfully higher risk in long-horizon financial models (P50/P90).
The glass-glass bifacial design enables albedo-driven energy gain (Jinko claims up to +20% power gain depending on surface reflectivity), while certified mechanical load ratings of 5,400 Pa (snow) and 2,400 Pa (wind) allow deployment in demanding climate zones without additional racking reinforcement.
JinkoSolar earned the top spot in Bloomberg BNEF's 2025 PV Module Bankability Survey for the tenth consecutive year, the only manufacturer to receive a 100% bankability rating from participating financial institutions. For EPC contractors and utility-scale developers, this directly reduces project financing costs and simplifies due diligence.
The glass-glass construction weighs approximately 34–34.6 kg depending on variant, roughly 4–6 kg heavier than comparable glass-backsheet modules in the same power class. For rooftop retrofits and commercial installations, this may require structural load assessment and additional BoS costs for racking reinforcement.
The Tiger Neo 78HL4-BDV was launched in 2021; Jinko introduced Tiger Neo 3.0 in 2024–2025 with module efficiency up to 24.8%. For investors prioritizing the absolute lowest LCOE or the most advanced module in the manufacturer's lineup, the newer generation offers a meaningful ~1.5 pp efficiency advantage at a similar TOPCon architecture.
- At 23.2% efficiency, this panel is 0.9pp above typical TOPCon 650-700W modules (median: 22.4%)
- 232.5 W/m² power density - 8.8 W/m² more than TOPCon 650-700W median (223.7 W/m²), more power per roof area
- At -0.29%/°C, hot weather performance is typical for TOPCon 650-700W panels
- 80% bifaciality enables rear-side power generation, boosting yield by 4-12% on reflective surfaces
- Ranked #1239 out of 14005 panels for efficiency in the database
Specifications
Datasheet charts
Measured curves published by Jinko Solar in this model's datasheet. A chart carrying a wattage was measured on that variant alone - only the ones that describe 650 Wp appear here. The rest cover the whole series.
Simulations
Degradation from this panel's own datasheet figures. No inverter, soiling or shading losses.
Model: bifaciality × albedo × 0.6 view factor. A first-order estimate, not a yield simulation.
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