行家说储能获悉，包括宁德时代、华为数字能源、远东电池、弘正储能、智光储能、云储循环在内的多家企业，共计10个工商业储能项目最新进展情况。 项目公示简介如下： 近日，工商业储能市场频频传来好消息。 | 企业 | 项目简介 | | --- | --- | | 宁德时代 | 在宁德时代北方开拓市场的大背景下，一次工商储项目的实践落地 | | 华为数字能源 | 华为构网型储能的又一工商业储能市场落地实践 | | 远东电池 | 远东电池加速布局河北储能市场 | | 智光储能 | 国内首例全绿电炼钢用户侧构网型储能 | | 弘正储能 | 河南商丘阿斯贝拉1.5MW/3.132MWh工商业储能项目 | | | 河南郑州三华科技1.505MW/2.926MWh工商业储能项目 | | 云储循环 | 贵州省首个10kV接入的工商业储能项目 | | 润鑫能源 | 焊材行业的工商业储能项目 | | 正泰新能源 | 100MWh工商业储能项目 | | 办鑫晟能 | 四川广元市首个用户侧储能项目并网 | ▋ 宁德时代 ： 30MW/60MWh工商储项目 日前，宁德时代在山东济宁落地了一工商储项目 ，为 华勤橡胶工业集团与宁德时代合作的3 ...

Core Viewpoint - Jiangsu province is leveraging waste heat recovery technology to enhance energy efficiency in industrial steam production, significantly reducing costs and carbon emissions [1][2]. Group 1: Technology and Innovation - A 4 MW high-pressure electrode steam storage energy station has been implemented in a textile company in Changzhou, Jiangsu, which recycles industrial waste heat to produce steam at approximately 200 degrees Celsius [1]. - The new steam storage technology allows renewable energy sources like wind and solar to be converted into stable thermal energy, reducing the average cost of steam from over 600 yuan to about 250 yuan per ton [1]. - The clean energy method of steam production results in a 44% reduction in energy consumption and a 64% decrease in carbon emissions compared to traditional coal-fired boilers [1]. Group 2: Economic Impact - In the garment industry, the application of new technology has reduced energy consumption for steam from 750 kWh to 400 kWh per ton, saving over one million yuan annually for companies [2]. - The Tianwan Nuclear Power Plant steam supply project in Lianyungang is expected to save 460,000 tons of standard coal and reduce carbon emissions by approximately 1.27 million tons each year [2]. Group 3: Industry Development - Over 100 companies in Changzhou's Jintan District are now able to achieve customized comprehensive energy services focused on low-carbon emissions and energy utilization [2]. - The development of a smart steam energy management system by Aiken (Jiangsu) Industrial Technology Co., Ltd. utilizes IoT sensors and AI algorithms to monitor steam pipeline parameters, improving steam usage efficiency by 20% [2].