DIGITAL SOLUTION
Energy Digitalization
Turning data into valuable knowledge
Energy Digitalization
Turning data into valuable knowledge
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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PORTFOLIO VIEW
Commercial and Industrial Application
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. Tight controls for soiling ensure that the losses never cross the simulated losses, while optimizing both the cleaning frequency and the operations and maintenance (O&M) cost.
Impact
Scheduled cleaning activity has helped generate savings of roughly 20% on the standard operations and maintenance cost. Cleaning schedule has been optimized further to 4-days (from 3-days).
real-time mapping of simulated losses
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 is adjusted for weather variability to calculate expected energy, expected energy numbers are further adjusted for energy losses that are out of/under maintenance contract, and measured energy is calculated after compensating for the energy delta.
Impact
Improved visibility of plant performance and actionable insights to further enhance efficiency.
Telecom Energy Application
Nationwide
Problem
Overbilling due to grid usage during peak tariff hours
Solution
Peak Shaving has been introduced on-site at hardware level (Special Controller) and off-site through SPARK real-time energy management. This enables the telecom tower to utilize energy from battery instead of grid during peak hours and charge the batteries during off peak. Multiple layers of intelligence ensure 99% uptime.
Impact
Peak Shaving has limited commercial peak hour power usage creating operational cost savings of roughly 8% on selected sites.
How virtual power plants will change the future of energy?
Product life and warranty insurance till 5 years however faults due to temperature, DOD, and backup are not covered by insurance. Improper use of batteries further increases the risk of failure to under 5-yearsRead More
CONNECT WITH US
Reon’s SPARK- Energy Analytics combines intelligent systems with certain hardware offerings to ensure efficient energy transition. Features such as dynamic load management and peak shaving further optimize the energy costs. Join the conversation to find out how you can transition towards energy efficiency by utilizing our digital plant solutions.
kashif Ahmed
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