Residential Pv Rafitra Fitehirizana Angovo nataon'i Shenzhen Shangfang Clean Energy Co.,Ltd

Ny endrika Residential Pv Rafitra Fitehirizana Angovo nataon'i Shenzhen Shangfang Clean Energy Co.,Ltd dia mpandresy sarobidy amin'ny 2024 A' Design Award Volafotsy amin'ny Sokajin'ny Fifanintsanana Famolavolana Vokatra, Tetikasa ary Fitaovana Angovo.

VolafotsyAngovo· 2024

Residential Pv Rafitra Fitehirizana Angovo

nataon'i Shenzhen Shangfang Clean Energy Co.,Ltd

Mpanjifa: Shenzhen Shangfang Clean Energy Co., Ltd.

Mpandresy A' Design Award Volafotsy amin'ny Sokajy Angovo

45,745

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #156410

Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Residential Pv Rafitra Fitehirizana Angovo

Residential PV dia rafitra fitehirizana angovo fotovoltaïka ho an'ny trano fonenana. Mitahiry ny angovo avy amin'ny masoandro ny rafitra ho fampiasan'ny tokantrano sy amin'ny toe-javatra tsy mifandray amin'ny tambajotra herinaratra. Ny rindranasa finday dia ahafahan'ny mpampiasa manara-maso ny fahombiazany, mijery ny kisary momba ny angovo ary mametraka ny fomba fiasa ao an-trano na avy lavitra. Ny fampitana angona tsy misy tariby eo amin'ny rafitra sy ny inverter dia manatsotra ny fametrahana ary mampihena ny vidin'ny tariby. Ny semi-conducteur nitride gallium dia manohana ny fahombiazan'ny fiovana ambony indrindra hatramin'ny 98,4 isan-jato. Azo atambatra mifanongoa ny maody bateria, ary hatramin'ny valo vondrona no afaka miara-miasa. Misy fanosorana fiarovana manohitra ny harafesina, ny sira ary ny hamandoana.

Ny Fankasitrahana

Momba ny A' Design Award Volafotsy

Nandresy ny A' Design Award Volafotsy ny famolavolana Residential Pv Rafitra Fitehirizana Angovo, fankasitrahana malaza be omena ny famolavolana ambaratonga ambony, tsara tarehy ary mahavariana. Ny mpandresy Volafotsy dia asa mamirapiratra dia mamirapiratra ary mamorona dia mamorona izay maneho ny fahaizana, ny talenta ary ny fahamaotinan-tsain'ny mpamolavola azy. Andrasana ho asa mahagaga, ohatra tsara, mahay amin'ny asa ary vaovao amin'ny halalin-tsaina ny famolavolana Residential Pv Rafitra Fitehirizana Angovo. Ity famolavolana nandresy ny A' Design Award Volafotsy ity dia fikarohana miavaka be ary ankafizina izay mahasoa ary mampandroso ny sisintanin'ny zavakanto, ny siansa, ny famolavolana ary ny teknolojia. Ny famolavolana Residential Pv Rafitra Fitehirizana Angovo dia famoronana mahazo fitaka be izay mamaly ny faniriana, mitondra fihetseham-po tsara ary mamelona fahagagana sy fahatalanjonana.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: The residential PV energy storage system is predicated upon intelligence, efficiency, and expandability. It facilitates energy management for users via mobile apps, both at home and remotely. The wireless data transmission between the system and the inverter reduces installation difficulties and costs. The stable connection and ability to stack battery modules allow up to 8 groups to run simultaneously, making it an ideal solution for off grid scenarios requiring high power and large capacity.
Refy & Fonosana: 2000*1000*400mm
Marika: Residential PV energy storage system, Intelligent management, wireless connection function, efficient photovoltaic conversion, multiscene expansion
Teknolojia Famokarana: The Gallium Nitride semiconductor material, known for its higher thermal and electrical conductivity, which greatly reduces internal losses during the power conversion process, allows the product to operate at higher frequencies, and achieves the maximum conversion efficiency of 98.4 per cent.
Meanwhile, the protective coating of the battery module safeguards the battery from rust, salt and moisture, reducing the risk of failure due to environmental factors and enhancing outdoor usage lifespan.
Fanamby Endrika: The challenge is to design an intelligent energy storage system solution that caters to the needs of users while keeping in mind the scalability of the scene. In light of this, the design team has introduced an intelligent management system that streamlines the control process through mobile apps and AI technology. The energy storage system and inverter seamlessly transmit data wirelessly, making it easy to access the IoT in the home at a later stage. Additionally, users can conveniently move the modular battery components outdoors, thereby enabling flexible deployment.
Fikarohana: The progression of renewable energy technology and the increasing social concern for the environment have resulted in the development of residential PV energy storage systems. However, traditional residential systems lack intelligent management, scene expansion, and photovoltaic conversion efficiency. Consequently, the system introduces intelligent monitoring systems and AI, which suit various conditions and achieve a higher conversion rate with modular design, fulfilling the needs of the user.
Aingam-panahy: The energy storage system has been designed with a comprehensive understanding of user friendliness, with the support app to facilitate energy management. The wireless data transmission simplifies installation and reduces the cable cost. The battery modules are stackable and expandable, making it a versatile solution for various scenarios. The logo integrated into the battery combines aesthetics and functionality to enable users to visualize the operating status and make timely adjustments.
Faharetan'ny Tetikasa: The project started research and development in Beijing in June 2023, and the product was finalised in September, and the project mass production will be put on line according to the market situation.
Fizotr'asa: Users can easily view relevant information and configure operating modes through smart interconnection with the support mobile app. The app performs real time monitoring and self checks, identifying and fixing potential problems and presenting comprehensive energy data charts. The cloud native architecture with machine learning capabilities allows the system to tailor energy plans based on actual conditions, leading to cost savings and sustainable development.
Mpikambana ao amin'ny Ekipa: Junqing Fan
Xi Gui
Xin Jin
Xinjian Chen
Facai Zhou
Yixuan Li