国网金昌供电公司：“电费减负”释放满满实惠

Core Viewpoint - The article highlights the successful energy efficiency diagnosis and optimization efforts by the State Grid Gansu Electric Power Company, which helped a local wood processing factory significantly reduce its electricity costs through targeted interventions [1][3][5]. Group 1: Company Actions - The State Grid Gansu Electric Power Company initiated a "customer visit" energy efficiency diagnosis campaign to assist local businesses in managing high electricity costs during peak summer usage [3]. - A dedicated team, including customer managers and technical specialists, conducted one-on-one visits to small and medium-sized enterprises to assess their electricity usage and identify inefficiencies [3][4]. - The team discovered that the wood processing factory had a power factor consistently below 0.85, indicating significant reactive power losses, which contributed to inflated electricity bills [3][4]. Group 2: Solutions Implemented - The team developed a customized optimization plan for the factory's reactive power compensation system, adjusting its parameters to dynamically match the load requirements of the machinery [4]. - The plan included replacing aging capacitors to ensure stable operation of the compensation system, with adjustments made during off-peak hours to minimize disruption to production [4][5]. - Post-implementation, the factory's power factor improved to 0.95, leading to a reduction in monthly electricity costs from approximately 12,000 yuan to over 9,000 yuan, saving nearly 3,000 yuan per month [5]. Group 3: Ongoing Support and Impact - The company provided a "Energy Saving and Electricity Use Guide" to educate factory employees on reactive power compensation and peak load management techniques [5]. - Continuous follow-up visits and monitoring of electricity usage were established to ensure sustained energy savings and address any future issues [5]. - Overall, the company has assisted over 50 local enterprises in reducing their electricity costs by an average of over 15% through various energy efficiency measures [5].