年碳减排2400吨！这个企业用AI破解制造业转型困局

Core Insights - The article discusses the challenges faced by manufacturing companies, particularly in energy efficiency, as they transition towards high-end and green production methods [1][2] - Jinko Solar, a leading company in LED visual technology, has struggled with energy system efficiency despite its product innovation achievements [1][3] - A significant transformation began in 2023 when New Energy planned a low-carbon smart factory project for Jinko Solar, integrating photovoltaic systems, high-efficiency cooling stations, and energy storage [1][4] Group 1: Energy Efficiency and System Integration - The project led to a remarkable improvement in the factory's cooling system efficiency, increasing by over 50% while achieving intelligent control across the entire system [1][4] - New Energy's approach emphasizes a modular and progressive energy upgrade path, addressing the specific needs of the electronic manufacturing sector [4][5] - The AI-driven "Pan-Energy Network Edge Cloud Collaborative Platform" enhances energy management by enabling real-time monitoring and dynamic optimization of energy systems [6][7] Group 2: Economic and Environmental Impact - The low-carbon smart factory not only improves energy efficiency but also incorporates carbon management and virtual power plant capabilities, transforming the company from an "energy consumer" to an "energy participant" [11][12] - The project is expected to reduce carbon emissions significantly, with annual reductions estimated at 2,400 tons, enhancing the company's ESG performance and brand image [11][12] - The energy management system's ability to generate carbon asset reports positions the company favorably for future participation in carbon trading markets [11][12] Group 3: Replicability and Industry Impact - The "Jinko Model" is identified as a replicable industry benchmark, showcasing a modular, standardized, and systematic energy solution adaptable across various sectors [12][13] - New Energy aims to evolve from a project service provider to an industry energy system integrator, leveraging the scalability of the "Jinko Model" in similar enterprises [12][13] - The integration of AI and system efficiency is highlighted as a critical factor for the future of manufacturing, with comprehensive service models aiding companies in their low-carbon transition [13]