CLEANEST AND SAFEST POWER SOURCES

New energy vehicles as outdoor power sources

New energy vehicles as outdoor power sources

Simultaneously, the rapid growth of electric vehicle (EV) sales in China, with over 1.3 million units sold in October 2024, has brought new opportunities.1 Given their high energy density batteries and camping mode functionality, electric vehicles can provide stable external power and serve effectively as mobile emergency power sources and temporary shelters during extreme weather events, thereby mitigating urban power shortages caused by the disasters. [pdf]

Glass solar Power Station Cooperation Project

Glass solar Power Station Cooperation Project

The project, applied for and led by Associate Researcher Zhang Chuncheng of IEECAS as the Chief Scientist, has brought together top scientific research institutions from countries such as the United States' NREL, Germany's DLR, Spain's CIEMAT, and France's CSP Energies, as well as leading domestic enterprises such as Northwest Electric Power Design Institute Co., LTD, of China Power Engineering Consulting Group and Zhejiang KeSheng Technology Co., Ltd., demonstrating a high level of international cooperation. [pdf]

Skopje HJ Communication Micro Base Station Power Generation

Skopje HJ Communication Micro Base Station Power Generation

A highly integrated and intelligent hybrid power system that combines multi-input power modules (photovoltaic, wind energy, rectifier modules), monitoring units, power distribution units, lithium batteries, intelligent switches, FSU, and ODF wiring, effectively meeting various functional requirements such as power supply, backup power, and optical network access for base station communication equipment. [pdf]

Base station wind power source load calculation

Base station wind power source load calculation

Wind Load Calculation Wind load is calculated using the following equation: Fw = 1 2 C V ⋅ ⋅ dp ⋅ ⋅ ⋅A ( ) ρ λ 2 Where: • Fw = Force due to wind (lbf, N) 3 3 • ρ = Air Density (.075lb/ft , 1.22 kg/m ) • Cdp = Profile Drag Coefficient (from text or experimental data) • λ = Length/Width Aspect Ratio Correction Factor • V = Wind Velocity (ft/s, m/s) • 2 2 A = Cross Sectional Area Normal to wind direction (length*width) (ft ,m ) 3 Table 1. [pdf]

Power Your Future With Solar Power Systems

We specialize in solar power systems, photovoltaic power generation, battery energy storage solutions, lithium batteries, and comprehensive solar industry solutions.