Empowering Enel for a bright, connected future
公司规模
1,000+
地区
- Europe
国家
- Italy
产品
- EcoStruxure ADMS
技术栈
- IoT
- Cloud
- Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Energy Saving
- Environmental Impact Reduction
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 连接平台
适用行业
- 公用事业
适用功能
- 物流运输
- 维护
用例
- 能源管理系统
- 预测性维护
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Enel is Italy’s largest power company and Europe’s second listed utility for installed generation capacity. It operates in 40 countries worldwide, has around 95,000 MW of net installed capacity, and sells power and gas to more than 61 million customers. The company is based in Rome, Italy and is a major player in the global power and gas markets. Enel's operations span the entire energy chain, including the generation, distribution and sale of electricity and gas, and the development of renewable sources.
挑战
Enel, Italy’s largest power company and Europe’s second listed utility for installed generation capacity, recognized the need for an advanced distribution management system. However, they lacked the internal resources necessary to create mathematical algorithms to enhance distribution management. In the past, some employees tried inventing solutions, but without an adequate technical background it held no scientific value. Their employees were spending too many resources trying to create a solution without solid analysis. Without the analysis, the data meant nothing.
解决方案
Enel implemented Schneider Electric's EcoStruxure Advanced Distribution Management System (ADMS), a real-time solution that provides complete functionality for the planning, operation, and analysis of a utility’s distribution system. The system is designed to help complex utilities like Enel minimize power and energy losses, optimize voltage profiles, and reduce general costs by enabling peak sharing via demand response (DR) and distributed system and demand response (DSDR). Enel used Schneider Electric EcoStruxure ADMS to provide a visual, mathematical model of its distribution network, including detailed models for voltage management, micro-generation, frequency variation, DR, and other Smart Grid management data. The utility now has more accurate data and a system that can predict the impact of power outages, generation, and voltage variation.
运营影响
数量效益
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