Duke Energy cuts methane leaks and boosts grid reliability
Duke Energy, a major US energy company, set a goal to reach net-zero methane emissions from its gas distribution business by 2030, aiming to surpass regulatory requirements. To achieve this, Duke partnered with Accenture and Avanade to co-innovate an AI-powered, end-to-end methane monitoring and predictive maintenance platform based on Microsoft Azure. The system harnesses satellite data, AI, and analytics to monitor and quantify emissions from gas pipelines and assets, presenting prioritized findings in visual dashboards usable at multiple organizational levels. This new approach enables near real-time leak detection, allowing workers to find and respond to leaks in minutes instead of days with traditional inspections. Advanced geolocation and AI-powered predictions help identify vulnerabilities and stop leaks before they become critical, vastly improving operational resilience. The platform sets a new industry standard for how methane emissions are tracked and managed, with plans to scale across all asset types and regions. Leadership at Duke Energy already benefits from more accurate, holistic insights for decision-making. Major reductions in methane emissions are already being achieved, directly aiding in meeting environmental commitments and safeguarding communities. The system is expected to accelerate Duke Energy’s journey toward net-zero goals and provide a model for other utilities worldwide.
- Organization
- Duke Energy
- Industry
- Energy & Utilities
- Location
- United States
- Published
- April 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 2 of 2
- 1Real-time Methane Leak Detection Using AI and Satellite Data
- 2Predictive Maintenance for Gas Distribution Networks
- Meet ambitious net-zero methane emission targets by 2030.
- Go beyond US Environmental Protection Agency regulations.
- Traditional methane detection methods required days of manual pipeline inspections, delaying remediations.
- Lack of real-time visibility made it difficult to prioritize and repair leaks quickly.
- Growing operational resilience requirements due to an aging grid and climate pressures.
- Partnered with Accenture and Avanade to create a first-of-its-kind, Azure-based, AI-powered monitoring platform.
- Utilized satellite data, AI, and analytics for emissions detection, quantification, and visualization.
- Provided near real-time dashboard insights to leadership and teams at all levels.
- Enabled predictive maintenance through advanced analytics and geolocation.
- Streamlined leak detection and enabled immediate response.
- Workers can identify methane leaks in minutes, down from days previously.
- Operational system resilience improved, helping avoid major incident risks.
- Supports Duke Energy in hitting net-zero methane goals for 2030.
- Improved insight and decision-making at all business levels.
- Establishes a path for utilities industry standards on emissions monitoring.
- Direct emissions reduction and lower environmental impact.
Architecture
The solution uses satellite data to continuously monitor methane emissions from gas distribution infrastructure, feeding information into the Azure cloud. AI analytics prioritize and visualize emissions data on dashboards. Geolocation tools enable rapid leak identification and predictive maintenance. Immediate alerts are generated to mobilize repair teams, with information flowing across the organization in real time.
Sources & evidence1
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