大幅降低企业用电成本，海博思创赋能珠海市用户侧储能项目落地金湾

Core Viewpoint - Under the "dual carbon" goals, user-side commercial and industrial energy storage becomes a key factor for enterprise transformation, exemplified by the establishment of the Zhuhai user-side commercial energy storage project by Haibo Technology and Gaojing Solar, featuring a capacity of 28.5 MW/100 MWh [1][3]. Group 1: Project Overview - The Zhuhai project utilizes Haibo Technology's advanced liquid cooling energy storage system, employing a "peak shaving and valley filling" model to reduce Gaojing Solar's electricity costs [3]. - The project is designed to meet specific environmental conditions, including high temperature, humidity, and salt fog, ensuring suitability for on-site applications [4]. Group 2: Economic Impact - Following the adjustment of the time-of-use electricity pricing policy in Guangdong, peak electricity prices exceed 1 yuan per kWh, while valley prices are around 0.27 yuan per kWh, providing a new opportunity for high-energy-consuming enterprises to alleviate energy cost pressures [1]. - The implementation of the "two charges and two discharges" strategy by Haibo Technology aims to balance Gaojing Solar's peak and valley loads, thereby reducing public grid pressure and significantly lowering electricity costs [4]. Group 3: Technological Integration - The project integrates with Gaojing Solar's photovoltaic operations, allowing for the consumption of excess generated electricity and enhancing generation stability [4]. - The virtual power plant has been officially launched, enabling flexible participation in auxiliary service markets to continuously improve project revenue [4][6]. Group 4: Industry Trends - The energy usage logic in high-energy-consuming industries is undergoing fundamental changes, with off-peak electricity usage shifting from a flexible choice to a rigid necessity [6]. - Haibo Technology plans to deepen its customized "energy storage + X" strategic layout to empower enterprises in optimizing both energy utilization efficiency and operational costs [6].