这是一条重要的提示信息,您确定要继续当前操作吗?

PowerFit-Blade

● Adaptable to high-slope terrain projects (CPP wind tunnel tested)
● Compatible with all mainstream PV module sizes (CPP wind tunnel tested)
● High energy yield with 3D backtracking algorithm and diffuse reflection optimization for cloudy days
● Fast installation with rivets and spherical bearing brackets

增长建设站
增长建设站
增长建设站
增长建设站
增长建设站
增长建设站
增长建设站
增长建设站

PowerSmart One Tracker SCADA

By leveraging intelligent algorithms and monitoring systems, we optimize racking layout and control strategies to reduce module usage and installation complexity while improving system availability. This results in lower BOS costs, reduced O&M efforts, and higher energy yield.

PowerSmart One Tracker SCADA

Parameter

PowerFit-Blade

PV Solution Service Provider _ Clean Energy Solution - Powerway

Capacity

66.3-70.8 KW/Tracker

Area

0.8-1.7 ha/MW(8-16m Pitch)

Drive System

Distributed-drived Design, Slew Drive

Strings on Tracker

4 strings (182mm 545-635Wp)& 3 string (210mm 600-700+Wp)

Slope

N-S≤15% (Customizable), E-W ≤ 15%

Module Type

Available for all the types of module on the market

Configuration

2P

Protection Wind Speed

18m/s (3s gust, MRl=50) or 12m/s (EN 10min)

Survival Wind Speed

45m/s (3s gust, MRl=50) or 31.5m/s (EN 10min), higher wind load available

Power Supply

L+N 90~260V AC (Wide Voltage Input), 37V DC (Self-powered Module with Battery)

Adaptive Slope

PV Solution Service Provider _ Clean Energy Solution - Powerway

Adaptive Slope

N-S: 15%(8.3°)Max
E-W: 15%(8.3°)Max

Tracking Controller

PV Solution Service Provider _ Clean Energy Solution - Powerway
PV Solution Service Provider _ Clean Energy Solution - Powerway

Intelligent Algorithms

PV Solution Service Provider _ Clean Energy Solution - Powerway

Smart Tracking Algorithm

Under cloudy and variable weather conditions, the system dynamically optimizes the ideal tracking angle in real time based on meteorological and operational data, maximizing energy yield during high-diffuse radiation periods.

Smart Backtracking Algorithm

By analyzing system data and using sensing technologies to detect shading and build 3D terrain models, the algorithm applies machine learning to iteratively determine optimal backtracking angle groups. This enhances energy generation during the backtracking phase and reduces losses caused by shading on complex terrain.