Digital Solution

Digital Solution

Turning data into valuable knowledge

Energy Digitalization

enabling Energy digitalization

Increased penetration of intermittent renewable energy requires a real-time understanding of network status to allow for a rapid on-field or backend response as changes occur. The Reon Energy Analytics application SPARK is designed to enable operators to maximize performance, reduce risk and to increase system flexibility.

SPARK has been designed to achieve the following objectives:

Real-time data integration for visibility and control

Personalized dashboards for monitoring key information by site or portfolio, energy production data from multiple energy generation assets, and automatically identify potential savings.

Predictive plant maintenance strategy

Predictive analytics identify key performing indicators such as energy inefficiencies (ideal versus actual generation), proactive plant maintenance strategies to avoid unplanned downtime, and enhance energy plant maintenance strategy. Further, Alerts to flag unexpected consumption, deviation, interruptions during timeframes enable Operations and Maintenance (O&M) Team to dispatch a team on-ground when needed.

Energy cost savings using economic dispatch order principle

SPARK integrates energy parameters for the monitoring of solar plants, energy storage, weather variables, and other traditional energy sources to identify/dispatch energy at least cost.

INSIDE REON'S SPARK ENERGY MANAGER

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Turning data into valuable knowledge

PORTFOLIO VIEW

Commercial and Industrial Application


Location:

Punjab, Pakistan


Problem:

Plant performance decreases due to soiling (factors such as weather, cleaning and other variables)


Solution:

SPARK allows real-time monitoring and benchmarking of soiling index against forecasted losses, in conjunction with dynamically adjusted cleaning regime.


Impact:

Scheduled cleaning activity has helped generate savings of roughly 20% on the standard operations and maintenance cost.

real-time mapping of simulated losses


Location:

Punjab, Pakistan


Problem:

Inability to comprehend the cumulative impact of positive and negative variables on energy generation.


Solution:

The advanced analytics allow mapping of each major gain/loss against the forecasted energy numbers. For instance, in the Waterfall chart on the right the committed energy number.


Impact:

Improved visibility of plant performance and actionable insights to further enhance efficiency.

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