Benchmarking
Benchmark your data against other members and gain a better understanding of what sensors are used across the industry.
Our Focus: Data
Data drives digital transformation.
HRI aggregates operational and event data from multiple hydropower organizations on the HRI Platform, opening new possibilities for research, development of advanced analytical tools, and a better understanding of how your organization compares to the industry. The HRI Platform allows users to explore a standard, anonymized dataset where outage events are connected to the operational data monitoring the status of equipment.
At HRI, data is:
- Collected and stored securely.
- Standardized.
- Shared anonymously.
- Easily accessed from the HRI Platform.
The HRI Platform
The HRI Platform provides simple access to complex data. Data has been standardized to conform to a universal hydropower taxonomy developed by HRI. This enables searching for the same data across companies, manufacturers, and countries. Data searches can be performed using any combination of the following:
- Date and Time Range: The HRI Platform has data going back to 2003.
- Equipment Profiles: Major components have different details; a profile can include information such as manufacturer, size, number of blades, type of runner, etc.
- Event Information: Examine data leading up to a planned or unplanned outage where the cause of the outage is a specified value, i.e., the turbine.
When creating a report, you may specify the units of measurement to ensure they are all the same and choose whether to interpolate the data to fill in the gaps.
HRI also offers API access to its members.
Data Types
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Operational Data, typically from the SCADA system
Used to track temperature, vibrations, pressure, and many other measurements.
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Equipment Profile Data
Includes the characteristics of major components like manufacturer, type, and size.
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Event Data, or outage data
Stored for each unit, to show when and why an outage occurred.
Comparing and Using Data
All data in the HRI Platform is anonymized to ensure the privacy of our members. It is mapped to a universal taxonomy enabling the comparison of data from different companies, unit types, sensors, and locations. Equipment profiles enable the detailed filtering of data by specific characteristics. Event data identifies time period before a specific outage type and cause.