Deploying IOT across an Enterprise
Con Edison is a pioneer utilizing data in near real time
Consolidated Edison, Inc., one of the largest investor-owned energy companies in the United States, has taken steps over the past several years to digitalize its operating companies, leveraging open-source cloud-enabled technology to improve meter data, customer interface, transmission line management, and even manhole and worker safety. The advanced technology is not only helping ConEdison improve its operations and safety, it is also transforming how customers monitor their usage of electricity– contributing to cost savings and environmental benefits. By investing in its grid, ConEdison is building climate resilience and advancing electrification, positioning the company as a leading example of leveraging IoT to modernize our critical infrastructure.
Siemens Advanta established a truly collaborative environment with its ‘One-Team’ approach. This approach helped us manage different workstreams effectively and ensured project success.
Con Edison as one of the nation’s largest utilities sought to increase visibility into data across its ecosystem.
Project Details
Through various initiatives, Con Edison is leveraging advanced technology to improve meter data accuracy, billing capabilities, transmission line management, worker safety, and public safety, while also providing customers with real-time usage monitoring and contributing to cost savings and environmental benefits.
Meter Data Management (MDM)
ConEdison’s Meter Data Management System (MDMS) provides accurate billing of complex tariffs, greater operational efficiencies, and has improved service to ConEdison customers. Leveraging the Siemens EnergyIP’s Front End Processor, ConEdison is one of the first energy providers in the United States capable of recording and processing electric power meter data in near real-time, providing faster identification and response times for outages and critical safety alerts, including natural gas detection alerts.
Customer Information System (CIS)
As part of the MDMS work, Siemens Advanta supported the migration of ConEdison’s legacy customer system to an advanced CIS system. The project provided a single, unified solution that supports billing capabilities and customer care operations.
High Pressure Fluid Filled (HPFF) Transmissions
In this pilot program, Siemens Advanta provided ConEdison with a data driven solution to help detect leaks earlier and more accurately than the current methodology. The custom AI model, developed specifically for ConEdison, is a first of its kind utility leak detection approach. Leveraging data from past leaks to train the AI model, the system provided ConEdison with timely insight that a leak occurred.
Manhole Monitoring Program
ConEdison recently completed a pilot program supporting its Underground Distribution System assets. Specifically, the effort was a collaboration to enhance safety to the public walking the streets of NYC, where there are ~ 280,000 manholes, reducing the number of false positive alarms, improving safety, and reducing costs.
The advanced technology is improving meter data, customer interface, transmission line management, and even manhole and worker safety. It is also transforming how customers monitor their usage of electricity– contributing to cost savings and environmental benefits. By investing in its grid, ConEdison is building climate resilience and advancing electrification, positioning the company as a leading example of leveraging IoT to modernize our nation’s critical infrastructure.
- Operations and worker safety
- Cost savings and environmental benefits
- Customer visibility
Con Edison has one of the most complex and reliable electric power systems in the world, and we need to make sure that this digitalization program benefits our entire value chain, from worker safety to the customer interface. Siemens Advanta has been a true ‘partner’ in assisting us to identify the right solutions – and Siemens Advanta even developed custom pilot programs to meet our unique requirements, when needed.
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