HydroCord

Data flow in hydropower - Insights for change

What is Hydrocord?

HydroCord is a flexible edge system that takes care of hydropower's high safety requirements and plant variation in a changing power system. HydroCord provides the customer's organization with a completely new starting point for insights that interact with, reinforce and expand your existing analysis and data platform. This is achieved by giving power plant expertise access to qualitatively better data and local analysis capacity at plants.

- data quality without Hydrocord
- data quality with Hydrocord

How does Hydrocord work?

HydroCord combines key features for data and information quality:
  • The users' definition of what the need is.
  • Sufficiently accurate collection – processing and making available.
  • Change the need when it has value.
Get the information you think you need when you need it - and you are allowed to change your mind.

HydroCord can retrieve and perform analysis from a wide variety of sources:
  • Different system levels.
  • Directly from existing sensors.
  • Adding new sensors.

1. Safe Zone

HydroCord combines a wide range of communication features with optical raw data diode, which enables secure retrieval from the operational control system's various levels.
  • SCADA.
  • Control systems and subsystems.
  • The control system's sensors.

2. Edge computing zone

HydroCord has an active and ambitious roadmap for the further development of the advantages an edge solution provides, where collaboration is something we attach great importance to.
  • Engage and interact with the customer's general and plant-specific power plant expertise.
  • Collaborate with 3rd party expertise environments.
  • Drawing on FDB's own machinery, waterways and turbine expertise.

Learn More

Realtime Hydraulic Efficiency Measurement

FDB offers continuous efficiency measurements at hydropower plants, RT Eta. Most power plants usually have a warranty measurement after start-up, but then it can take years before the efficiency is measured again. Having a real-time measurement of efficiency is beneficial for several reasons (Ruud, 2017):

  1. The measurement provides input for optimal replacement of turbine components
  2. Production optimization
  3. Pricing of power products
  4. Grading of optimal power plant operation

It is especially for point 3, pricing of power products, that access to instantaneous data is essential. The other points require high accuracy and comparable measurements over time, which are also obtained by a continuous efficiency measurement.

FDB delivers systems for continuous efficiency and water flow measurements based on differential pressure method and direct acoustic measurement method. Both methods are calibrated with a conventional thermodynamic efficiency measurement. FDB's system also informs whether sensor-data is of such quality that composite efficiency will be approved in accordance with standards for efficiency measurements.

FDB assists with instrumentation, cabling, calibration and maintenance of systems and sensors, and facilitates data and results for transport to the operations center or desired destination, using several standard protocols and solutions

Reference:

Einar Ruud, Master's thesis NTNU 2017: Decision support with continuous efficiency measurement in hydropower plants.

Impact Monitor

The rock impact monitor uses many of the same principles and sensor technology behind the cavitation monitoring, but with a focus on detecting impacts between objects and surfaces inside the turbine. The impact monitor reports statistics, including the number of hits and the strength of the hits.

Real Time Cavitation Detection

The cavitation monitor uses standard sensors for measuring high-frequency vibration. The sensors are mounted on the dry side of the machine being monitored. A NI cRIO unit reads, processes and analyzes data continuously and indicates the power level of cavitation in near real time (<1min). The product provides an indication of the presence of cavitation, and a relative intensity of this. The instrument and methodology were developed as part of the PhD work of FDB's Jarle Vikør Ekanger in 2016.