Energy Monitoring
One Platform for All Your Energy Assets
Konductor brings real-time monitoring, performance analytics, and operational tools together in one place.
- check_circle Real-time monitoring across all asset types
- check_circle Instant alerts when performance drops
- check_circle Automated reporting for stakeholders
- check_circle 1-5% yield improvement through early detection
Energy Monitoring Case Studies
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.
Key Results
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.
Mixed Portfolio, One View - Wind & Hydro Consolidation
One login for your whole fleet. An IPP with 14MW wind and 7 hydropower sites (~4MW) achieved faster decisions, higher yield, and less chaos through Konductor's unified platform.
Key Results
Challenge: Multi-technology portfolios spread across vendors, protocols, and portals create operational blind spots. Fragmented visibility meant wind and hydro data lived in separate systems with no shared live view. Faults and curtailments were discovered hours later, and every site and contractor followed a different process. Portfolio-level KPIs took days to compile.
Solution: Konductor delivered a single, centralised live view for the entire wind + hydro portfolio and a standardised management process that works the same way across regions and contractors. Live portfolio visualisation, standardised operations with shared processes, unified data pipeline, and smart alerts with expected-vs-actual performance models.
Remote Microgrid SCADA Integration
One secure system. Full visibility. Real-time control across a remote hybrid microgrid comprising solar PV, battery storage, wind turbines, and diesel generators—with no existing documentation.
Key Results
Challenge: The client required real-time operational visibility of a remote hybrid microgrid but faced several fundamental challenges: no existing documentation (no network diagrams, IP address lists, or Modbus register maps), heterogeneous technologies from different vendors, remote development constraints, strict security requirements prohibiting direct internet exposure, and no unified view for operators or connected customers.
Solution: Konductor delivered a secure, on-premises SCADA and data integration solution. With no prior documentation available, the project began with structured reverse-engineering: network scanning, manual interrogation of PLCs and controllers to discover Modbus registers, and validation of scaling and units across all asset types. The platform was deployed locally within the site network with controlled outbound data flow.
Sensor Integrity & Data Confidence
Trust the data that drives generation, dispatch, and reporting. Konductor detects sensor failure, drift, and implausible values before they impact operations—distinguishing between true asset issues and instrumentation problems.
Key Results
Challenge: Renewable generation performance depends heavily on sensor accuracy, yet sensor health is often unmanaged. Wind speed and river/reservoir level sensors directly influence generation expectations and dispatch decisions. Temperature and vibration sensors are critical for early fault detection, but failures often go unnoticed. Sensors may degrade or drift slowly, producing believable but incorrect data that skews generation set points and KPIs.
Solution: Konductor continuously monitors sensor behaviour alongside asset performance to detect sensor failure, drift, or implausible values. The platform applies contextual checks including detection of flat-lined or frozen signals, cross-comparison of related sensors (e.g. wind speed vs power output), identification of gradual sensor drift, and validation against historical and environmental patterns.
Ready to Get Started?
See how Konductor can support your energy management operations.