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Hydro Asset Owner - Early Underperformance Detection

3 years of software fees paid back in 1 weekend. Konductor detected sustained underperformance at a Scottish Highlands hydro scheme, recovering ~80 MWh of generation.

Featured Utility Scale HydroPerformance Monitoring 4 min read

Key Results

80 MWh
Extra Generation Recovered
£24,000
Financial Impact
30 min
Detection Speed
Immediate
ROI Payback

Challenge: Without an expected performance model, it's impossible to know in the moment how the scheme should be performing. When underperformance goes undetected, thousands of pounds of lost generation can accrue before anyone notices. Monthly manual data downloads and reports might surface issues—but by then, significant generation has already been lost.

Solution: We ingested HMI/PLC telemetry every 10 minutes—river level, power output, and other system parameters—via a secure data pipeline. Live data was continuously compared to Konductor's expected performance model, tuned to the site's characteristics. When the power output of the turbine dropped against the expected performance, the operations team was alerted immediately with clear, actionable context.

Results: A relay controlling one of the turbine's spear valves had failed and the spear valve was unable to open fully, meaning the turbine was not reaching the expected power output for the given river level conditions. This issue was immediately detected and the service team rapidly put in place a resolution plan. Within a single weekend, Konductor flagged sustained underperformance versus the expected curve. The team intervened promptly, restoring output to the modelled trajectory and recovering ~80 MWh of generation that would likely have been missed until the next monthly review.

Case Snapshot

ItemDetails
SectorHydro
LocationScottish Highlands
Assets800 kW run-of-river hydro scheme
PeriodWeekend (4-day analysis window)
UsersAsset owner, O&M provider, onsite caretaker
IntegrationsHMI/PLC (data every 10 minutes)

Implementation

  • During the onboarding process we explored existing onsite data collection and data points available
  • Ensured reliable, secure communication from site to Konductor cloud
  • Developed and calibrated the expected performance model
  • Connected the onsite data system and brought the stream into Konductor
  • Configured real-time deviation alerts to the operations team

Why Konductor?

  • Model-based monitoring: expected-vs-actual performance, not just thresholds
  • Fast rollout, low-touch integrations: secure data ingestion from existing HMI/PLC
  • Clear ROI: real-time alerts plus quantified lost-generation reporting
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