We start by building a detailed digital replica of your plant, by creating and adding up digital twins of each node. The bottom-up addition of yield expectations for each string in RealTime, produces the most accurate estimate of your plant’s generation capacity at any time with unprecedented granularity and accuracy.
Plant Audit
360° Personalized Performance Audit, based on [6 months - 1 year] Historical Data
Pick one plant, follow a simple data requirement checklist and get actionable audit with advanced analytics in 5 days.
Built to Scale, Iterative system in a SaaS Cloud makes it Future-Proof. Fully Extensible. Open Architecture.
- 01Directly actionable, revenue quantified and prioritized tickets (structural and temporal loss categorized), for immediate confirmation by your site O&M team
- 02Historical, current losses and anomalies identification with granular loss buckets (DC, Inverter, AC sides)
- 03Forward-looking insights with full visibility on areas of underperformance and leaky losses
- 04Ticket accuracy easily verifiable by site O&M team
- 05Time to Value = 8 days total (5 days for us, 3 days for you to confirm accuracy of tickets
- Plant size-based pricing
- Speedy, hassle-free deployment managed by our Technical Experts with no risk or disturbance to your existing systems
- Available as interactive Audit Results dashboard
- Add on Quadrical ROC to support your site O&M team for ticket accuracy verification and remediation
- High ROI: Well, we had a customer find $110,000 in leakages last year* (*For completeness, this was an older plant with very high PPAs)
You will know exactly what to do to improve your portfolio’s profitability, and what is worth doing first. Quadrical’s Audit identifies losses with granular bucketization, and catches faults, failures, and degradations with much higher accuracy than traditional approaches.
Our Plant Audit is a Proof of Concept (PoC), that can show the “what” of your solar plant. It acts as your reliable decision support tool, which you can use to deep dive into plant - inverter - SCB – string level performance analysis, supported by lists of initial failures and degradations flagged by our Audit.
With this state-of-the-art performance analysis and revenue prioritized ticket lists, you not only save significant amount of time in finding the right issues, doing root cause analyses and foreseeing impending failures, but also achieve O&M targets faster, as you proactively act on the issues.
Working with us means true data-driven decision making due to significantly improved data quality available in RealTime.
No. risk. High ROI. Low upfront costs.
10 Days Time to Value - It’s how we put you on the path to 2-4% Generation Improvement!
Deployed on 8500MW Solar + 9000MWh Storage + 400MW Wind
Our Secret Sauce - Digital Twins
Digital Twins are at the core of Quadrical Solar Asset Management Platform
This means not one Digital Twin, but Twins, Triplets, often 500 Mini Twins for a 50MW Plant.
Next, we leverage these special purpose mini twins for identifying and quantifying shading, soiling, insulation, long term degradation, anomalies, due diligence etc. This lets us arrive at the most precise benchmark for your plant.
This true Condition based Maintenance guidance, with alerts, are benchmarked to our proprietary Digital Twin baseline. They help you improve plant generation by 2 – 4% and O&M efficiency by 15%
Seamlessly integrating with your plants, our cloud-only solution causes zero disruption to your existing systems.
We then optimize your asset performance as our Digital Twins learn and adapt to your plant’s inherent characteristics over time. You can call these iterations and their compounding effect stitch-in-time, or daily improvements like the Toyota way. It all means increased profitability today, and better plant monetization even in 2027 and 2034.
Features
- Compatible with top platform providers (SCADA, Inverter portals, analytics systems, dataloggers, CMS, DAS, SQL, FTP)
- Plant onboarding with historical data in 2 days
- Advance Performance Analysis leveraging Digital Twin AI for extremely accurate and granular expectation from every device, at any location, weather conditions, and time
- Quick Audit: Comprehensive Audit of last 6-mos data for actionable analysis (and revenue based tickets) of Temporal Loss and Short-term Degradation
- Deep Audit: Multi-year due diligence Audit for granular and quantified view of Structured and Long-term Degradations
- Alarm & Event Analysis
- Trend Analysis
- Ad hoc analysis (XY Analysis)
- Basic RT Analysis
- Heat Map and GIS Visualization
- Comparative Analysis (Peer analysis)
- Soiling Loss Analysis (Beta)
- Loss Analysis
Why Quadrical
Proprietary Digital Twin Technology
- Personalized understanding of a plant’s exact yield potential: Extremely accurate, granular (PR/efficiency) expectations from each instrumented device, at any location, weather condition, & time
- Predictive capabilities: Error-free, highly accurate O&M guidance that starts with pinpointing underperformance & root causes
- Specialized Digital Twins purpose-built separately for identifying and quantifying shading, soiling, insulation, ground-faults, long-term degradation, due diligence, classifications etc.
Condition based Monitoring
Degradation & Anomaly Detection
Better planning + Revenue prioritized execution
Optimized Tickets
Condition based Monitoring, Alerts + Predictive Maintenance
Prioritization & dispatch based on revenue impact, distance clusters & ticket count
Remote Operations Center (ROC)
Quadrical to manage ticket execution/closure directly with site O&M
Fast Onboarding
Hit the Cloud running with speedy and smooth onboarding. Seamless integration with your current systems. Plug & play cloud Products and Services to swiftly integrate across portfolios of all sizes. Quadrical Ai Integration team is the fastest in the business with an average of ~1 GW installed in ~30 days
Ease of Deployment
Platform fully compatible with all inverter, data-loggers, DAS, FTP and SCADA systems
Immediate Value & RoI Gains
Strong experience in establishing secure remote connections (>400 different types) to the full spectrum of manufacturers of renewable assets, associated devices and CMMS
Cutting-Edge Satellite Weather Integrations
Alleviates need for (& quality issues from) weather station
Standardized Data Migration Process
Independent of plants’ hardware infrastructure and PV monitoring solutions. Flexible backbone architecture and technical expert support to surface RealTime current snapshots of portfolio performance, up and running on a custom-built dashboard
Reporting Extensibility (via Power BI, Notebooks)
Active Innovation Roadmap
Near-term roadmap includes Storage Analytics and Renewable Energy Certificates:
- Satellite Imaging - University of Cambridge
- IoT Soiling Platform - University of Waterloo
- iREC platform
- Utility Scale Storage
Our Clients say...
We worked with Quadrical to build a data platform, consolidating our plant data onto a common schema. Quadrical built out the schema with Al capabilities to help 0&M teams to identify and rectify anomalies, prioritised by revenue impact. There are many players who claim capabilities and tools in Artificial Intelligence, but none have the true depth of technical abilities that Quadrical brings to the table.
As we onboarded 25 plants with Quadrical in 45 days, we’ve been impressed with their ability to fully own data quality and connectivity. With advanced Analytics-as-a-Service, we’re already seeing the benefits with insights available for our operations team to identify the plant performance issues and possible breakdowns proactively. I am now confident that this platform has the potential to transform the way we do our operations. Look forward to us optimize our entire 1000MW+ portfolio while monitoring it in near RealTime.
Our Founders
Sharat has been a Global VP at Adobe Global, CTO at MMT (MakeMyTrip), and MD at Scale-Ups, prior to a career in the US with startups and companies like Microsoft. His sweet spot is building teams which do great things together and passion is making the benefits of AI and Big Data available to everyone. Sharat did his B. Tech at IIT Delhi, with an MBA from New York University.
Hugh has most recently been the CEO at Cognitive Systems, a hardware startup. Prior to that he was a VP and early employee at Blackberry, and is one of the people responsible for their superior security reputation. His interest in AI goes back to being a PhD student at Cambridge University. He also has an M. Eng from University of Waterloo.
Deployed on 8500MW Solar + 9000MWh Storage + 400MW Wind