Increase Hydroelectric Energy Efficiency with the Digital Hydropower Plant
When you take hydropower software and equipment and add advanced data analytics, you’re bound to improve the efficiency of your hydro plant.
But where to start? How can you create actionable insights from your data and increase profits?
That’s where the Digital Hydropower Plant comes into action.
UNDERSTANDING A DIGITAL HYDROPOWER PLANT
GE‘s Digital Hydropower Plant is an end-to-end solution that employs data, analytics and hydropower plant software applications in partnership with our hardware solutions to enhance efficiency, cybersecurity, reliability, as well as profitability of a hydroelectric energy plant over its lifetime.
By seamlessly integrating software intelligence into hardware assets and hydropower plant control systems, digitization creates new robust economic outcomes and growth opportunities.
The Digital Hydropower Plant takes everything needed to build, operate and maintain your hydroelectric plant at less cost. It’s done through a suite of products that reduce hydropower energy costs and increase energy production, creating a more efficient hydro turbine.
DIGITAL HYDRO APPLICATIONS
Our digital hydropower innovations include
- - Asset management performance
- - Cybersecurity
- - Plant and fleet enhancements
- - Outage management
- - Condition monitoring equipment
All with the goal of helping you build, operate and maintain your hydroelectric plant at less cost. By controlling expenses and energy production, creating a more efficient hydro turbine and building upon automation and data-driven maintenance, we are poised to take hydropower services to unprecedented levels.
Increase the efficiency of your hydroelectric energy with our Digital Hydro APM software. Our APM suite helps asset-centric hydropower plants drive safer and more reliable operations while facilitating enhanced performance at a lower sustainable cost by enabling intelligent asset strategies. APM’s holistic and risk-based intelligent asset strategies balance performance and cost by considering design, operational procedures, and maintenance plans for all assets.
With APM, you get an enterprise-wide view of the impact of hydropower plant condition monitoring activities to help you make the best decisions. APM provides best-practice work processes for reliability engineering, maintenance analysis, and environment health and safety (EH&S), as well as the capabilities of equipment data capture, integration, and hydropower modeling, along with both predictive and diagnostic analytics. APM includes software, services, and business process support.
Asset Strategy Optimization (ASO) uses a risk-based approach to conduct rigorous analysis of assets and systems to identify potential failures and their causes, reducing unplanned downtime and unnecessary maintenance activities.
Other benefits of choosing Digital Hydro APM software with ASO:
- Reduction in hydropower maintenance costs
- Reduction in unplanned downtime and increased hydro plant availability
- Reduction in asset-related incidents, protecting the health and safety of employees
GE's Edge Analytics for hydropower plants uses machine learning and data collection to create valuable, actionable insights from the monitoring and maintenance process.
Edge Analytics, part of GE’s Asset Performance Management (APM) solution, has the capability to generate up to 1% extra output for a hydroelectric plant.
A digital hydropower station with Edge Analytics can save as much as $4,000/MW/year in reduced maintenance costs, as well as see improved asset life and higher operational efficiency.
If this hydro monitoring software were scaled across the global hydropower fleet, it would result in 42TWh of incremental hydropower generation, a reduction in global carbon dioxide emissions of 17 mt per year, and $5 billion in annual cost savings for hydropower plant owners.
ServiceMax is an industry-leading, end-to-end, cloud-based, mobile Field Service Management solution. Its 400+ customers report improvements across multiple service outcomes. This incorporates Gartner’s six functionalities for field service management:
- Managing demand for work (including from Asset Performance Management)
- Planning and scheduling work (recommendations based on skills, priority)
- Enabling technicians with mobile functionality (asset information, inventory)
- Debriefing work (closeout, digital sign-off)
- Managing operations (including entitlements and logistics)
ServiceMax partnered with the Digital Hydro APM solution, enables your digital hydro power plant to shift from reactive to predictive services, ultimately optimizing digital hydro power equipment maintenance and avoiding unnecessary downtime.
CASE STUDIES HEADING
EDSB (Energie Développement Services du Briançonnais)
Hydro utility companies are changing the way they operate their plants, switching from baseload to more flexible energy production. Intelligent condition monitoring and diagnostics become crucial. To adapt to this change, EDSB was looking to expand the time between plant overhauls (TBO) and shortening the mean time for repair (TTM).
Pont Baldy—a hydropower plant operated by EDSB in France—was connected to a new generation Condition Monitoring System (CMS) called iCMS. It remotely collects real-time data that GE analyzes to improve diagnostics and prognostics on faults in the plant that the monitoring system has identified.
Outcomes and Value
The iCMS revealed that Pont Baldy had a bearing that was running hot. The system further diagnosed the cause and analyzed that no action was needed, saving the time and expense of unnecessary repair. Overall, the iCMS can bring up to 1% extra availability for the power plant.
EDP (Energias De Portugal)
EDP needed to extend the operating range of its plant equipment, while still being able to improve planning of repairs. Additionally, the company needed a way to observe the turbines in action, without disrupting production, to measure stress damage or to test their turbines in extreme conditions.
Enter Big Data: GE Renewable Energy and EDP called on the power of data and hydropower modeling software to create a computer generated, digital facsimile of the runner blades at Alqueva II hydroelectric power plant.