Shenzhen Shangfang Clean Energy Co.,Ltd 嘅作品 Residential Pv 儲能系統

由設計師 Shenzhen Shangfang Clean Energy Co.,Ltd 創作嘅 Residential Pv 儲能系統係備受推崇嘅 2024 A' Design Award 銀獎得獎作品，獲獎類別為能源設計。

銀能源· 2024

Residential Pv 儲能系統

由 Shenzhen Shangfang Clean Energy Co.,Ltd

客戶: Shenzhen Shangfang Clean Energy Co., Ltd.

能源類別嘅 A' Design Award 銀獎得獎者

45,745

經驗證嘅獲獎者

驗證設計 #156410 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Residential Pv 儲能系統

Residential PV 係一套家用光伏儲能系統。呢套系統將太陽能儲存起嚟俾住戶使用，亦可以喺離網情況下供電。用戶可以透過手機應用程式喺屋企或者遙距監察系統表現、查閱能源圖表同設定運作模式。系統同逆變器之間採用無線數據傳輸，簡化咗安裝程序，仲慳咗電纜成本。氮化鎵半導體支持高達98.4%嘅最高轉換效率。電池模組可以層疊安裝，最多八組可以同時運行。保護塗層能夠抵禦生鏽、鹽分同潮濕。

榮譽認可

關於A' Design Award 銀獎

Residential Pv 儲能系統是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Residential Pv 儲能系統將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Residential Pv 儲能系統是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: 2000*1000*400mm
標籤: Residential PV energy storage system, Intelligent management, wireless connection function, efficient photovoltaic conversion, multiscene expansion
生產技術: 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.
設計挑戰: 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.
研究: 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.
靈感: 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.
項目時長: 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.
操作流程: 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.
團隊成員: Junqing Fan
Xi Gui
Xin Jin
Xinjian Chen
Facai Zhou
Yixuan Li