Yingli Solar — China

Panda Pro 355-D Max

The Yingli Solar Panda Pro 355-D Max is a 355W PERC solar panel with 17.6% efficiency. Backed by a 12-year warranty.

Budget TierFEOC: Restricted

355W

Wattage

17.6%

Efficiency

PERC

Cell Type

12 years

Warranty

Full Specifications

Brand
Yingli Solar
Model
Panda Pro 355-D Max
Series
Panda Pro
Wattage
355W
Module Efficiency
17.6%
Cell Type
PERC
Dimensions
65-67" x 39-40"
Weight
40 lbs
Warranty
12 years
Est. Price Per Watt
$1.53
Est. 7kW System Cost
$10,710
Est. 10kW System Cost
$15,300
Temperature Coefficient
-0.35%/°C
Bifacial
No
Origin
China
FEOC Status
fail

Other Yingli Solar Panels

ModelWattageEfficiencyCell$/W
Panda 435W D Plus435W19.9%PERC$2.22
YL 435W D Plus435W19.9%PERC$2.22
Panda Pro 435W D Plus435W19.9%PERC$2.22
Panda 430W C430W19.8%PERC$2.19
YL 430W C430W19.8%PERC$2.19

Similar Wattage Panels (Competitors)

Frequently Asked Questions

How much does a 355W Yingli Solar Panda Pro 355-D Max cost?
The Yingli Solar Panda Pro 355-D Max costs approximately $543 per panel ($$1.53/W). A typical 7kW system using this panel would cost around $10,710 before incentives.

⚠ The 30% Federal Solar Tax Credit (48E/ITC) expired July 4, 2026.

Selecting 30% ITC assumes you began construction before this deadline. Most new purchases no longer qualify.Learn about your options after the deadline →

Is the Yingli Solar Panda Pro 355-D Max a good solar panel?
The Yingli Solar Panda Pro 355-D Max has 17.6% efficiency and a 12 years warranty, placing it in the budget tier. This is a solid mid-range panel suitable for most residential installations.
How many Yingli Solar Panda Pro 355-D Max panels do I need?
For a typical 7kW residential system, you'd need approximately 20 panels. For a 10kW system, plan for about 29 panels. The exact number depends on your roof space, energy usage, and local sun hours.

Written & reviewed by

Jeremy Wolfe — Senior Solar Energy Analyst

Jeremy Wolfe is a solar energy analyst specializing in residential photovoltaic economics, federal and state incentive policy, and return-on-investment modeling for homeowners. He leads EnergyTools' solar research program and methodology.

  • 10+ years analyzing residential solar economics and payback modeling
  • Lead researcher for EnergyTools' 50-state solar cost-per-watt database
  • Author of 100+ solar ROI, payback, and incentive analyses

Methodology & data sources:NREL PVWatts, EPA FuelEconomy.gov, state utility commissions— updated 2026.