FAQ
Answers to common questions from utility teams evaluating Grid Clarity, from integration and security to installation and operations.
Platform, Integrations, and Data Access
What OWLL is, what it adds between SCADA and AMI, and how the data fits into your existing stack.
Q: What is an electric grid OWLL?
A: OWLLnode is a distribution transformer monitoring platform that uses mil-spec level rugged edge nodes, a FEDRAMP IL-4 certified cloud, APIs, and Web Services to give utilities real-time visibility of the grid segments between the substation and the meter.
Q: Does Grid Clarity offer API integration for utility SCADA or ADMS?
A: The Grid Clarity platform is built with an "open data" philosophy, offering robust API and Services integration capabilities. This allows monitoring data from OWLL sensors to be fed directly into existing SCADA or Advanced Distribution Management Systems (ADMS) for a "single pane of glass" grid view.
Q: What data resolution does the OWLL platform provide?
A: OWLL provides granular transformer level signals such as secondary voltage, current, phase behavior, and temperature context. Sampling, event logic, and retention are configurable based on deployment goals, communications constraints, and integration requirements.
Reliability, O&M, and Outage Response
How OWLLnode supports outage awareness, field triage, asset management, and restoration validation.
Q: How does the OWLL platform improve SAIDI and SAIFI?
A: The OWLL platform improves SAIFI (System Average Interruption Frequency Index) by enabling predictive maintenance to prevent transformer failures before they occur. It improves SAIDI (System Average Interruption Duration Index) by providing real-time "Last Gasp" outage notifications, so teams can confirm conditions faster, prioritize response, and reduce restoration time.
Q: What is a “Last Gasp” notification in transformer monitoring?
A: A Last Gasp notification is a critical alert sent by an OWLLnode the moment a power failure is detected. This instant communication enables utilities to pinpoint the exact location of an outage, reducing the "dead time" between a fault occuring and a repair crew being dispatched.
Q: Can OWLL identify total loss vs brownout conditions?
A: Yes. Unlike traditional meters that may only report a lack of power, OWLL sensors can distinguish between a total loss of power and low-voltage (brownout) conditions. This specific diagnostic data helps utilities understand if the issue is a transformer failure, a blown fuse, or an upstream grid constraint.
Q: How does real-time transformer monitoring reduce O&M costs?
A: Real-time monitoring reduces Operations & Maintenance (O&M) costs by shifting utilities from reactive to condition-based maintenance. By identifying assets at risk of failure, utilities can prioritize truck rolls for high-risk transformers, eliminating unnecessary routine inspections and preventing expensive catastrophic failures.
Deployment, Installation, and Safety
What to expect for installation, transformer compatibility, and field operations.
Q: Is the OWLL sensor compatible with overhead and pad mount transformers?
A: The OWLLnode is designed for universal application across utility fleets. It is compatible with overhead (pole-mount), pad-mount, and vault installed distribution transformers, providing a unified data stream for all grid assets regardless of their physical configuration.
Q: How long does it take to install an OWLL sensor?
A: Installation time depends on transformer type, access, and utility work practices and safety procedures. OWLLnode is designed for rapid deployment, typically requiring less than 15 minutes per transformer. The plug-and-play design requires no specialized tools and does not require a service interuption during the installation.
Q: Is the OWLL sensor safe for crews to install on live equipment?
A: Safety is a core design principle. OWLLnode is designed for non invasive installation methods that minimize exposure time and avoid service interruption. Final installation procedures follow your utility’s PPE requirements, live line practices, and safety standards. Contact us to go over our specific technical specifications.
Security and Resilience
Security posture, data protection, and operational awareness during disruptive events.
Q: How does the OWLL platform ensure utility data security?
A: Grid Clarity uses encryption for data in transit and at rest and aligns security controls to recognized standards. Commercial deployments are built on Microsoft Azure and can align to frameworks such as NIST 800 53 and ISO 27001 based on program requirements and customer policy.
Q: Does OWLL help mitigate transformer fire and explosion risks?
A: By providing real-time monitoring of the transformer, OWLLnode can help by detecting abnormal electrical behavior associated with chronic stress, deteriorating conditions and downed conductors. Early indicators support maintenance decisions before equipment reaches unsafe operating states.
Q: How does OWLL support grid resilience against physical or cyber attacks?
A: OWLLnode enhances grid resilience by providing granular, edge-of-the-grid situational awareness. In the event of a physical attack or cyber intrusion, the platform's instant anomaly detection helps operators distinguish between mechanical failures and coordinated disruptions, enabling a faster and more accurate Emergency Operation Center (EOC) response.
Load Growth, EV and DER
Transformer level insight for EV adoption, large dynamic loads, and DER backfeed.
Q: Can OWLLnode detect distribution transformer overloads from EV charging and data centers?
A: Yes. Grid Clarity's OWLL platform provides real-time visibility into transformer load profiles, specifically identifying stress caused by Electric Vehicle (EV) charging and large facility demand such as data centers. This allows utilities to manage capacity and prevent thermal damage to assets without waiting for a physical inspection.
Q: How does Grid Clarity help with DER integration?
A: Gird Clarity supports Distributed Energy Resource (DER) integration by monitoring bi-directional power flow at the transformer level. This data ensures that back-feeding from residential solar or battery storage does not exceed the thermal limits of the distribution transformer or cause voltage instability.
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