Maximize the return on your smart grid investment
EnergyIP - Leading in smart grid, smart market and analytics applications
Are you interested in finding out why Siemens is positioned in the “Leaders” quadrant in Gartner’s Magic Quadrant for Meter Data Management Products? Read the report and explore Siemens EnergyIP’s Meter Data Management capabilities and advantages.
Exploring new horizonsDecarbonization, decentralization, and electrification are driving digitalization and vice versa. Utilities and energy providers all over the world need to adapt their technological base as well as their business processes to the new requirements of the energy sector.
Siemens has the unique ability to make possible and support the digitally enabled convergence of information technology and operational technology to an unparalleled degree. This includes the seamless integration of renewable energy and distributed power generation, a high degree of adaptability, unprecedented sustainability, the right level of asset protection, and data analytics technologies and techniques that turn big data into smart data.
The powerful IoT-platform EnergyIP with 75,000,000 devices contracted offers device, grid, and market operations embedded in a single, unique architecture. EnergyIP applications can process data in near real time from millions of distributed grid assets and smart devices, powering new approaches for grid optimization, distributed energy resource management, energy market participation and real-time customer interaction.
It enables market participation for virtual power plants and demand response solutions. In addition EnergyIP offers an analytics environment based on state of the art technology, and advanced analytics applications to leverage more value from the existing data.
Leading in affordability, agility and abilityEnergyIP is part of the Energy Management Application Suite powered by MindSphere. Utilizing the benefits of EnergyIP is not only possible on premise but also via MindSphere, the cloud-based open IoT operating system from Siemens.
- Saving CAPEX and optimizing OPEX – No upfront invest, attractive pay-per-use models
- Early time to market – Quick deployment leading to better “time to value”
- Overcoming lack of own resources, knowledge and staff
- New business models and service offerings to consumer/ prosumer
- Reduced risk and improved security