GridBlend

GridBlend is a web app (with optional mobile companion) for operators of hybrid power plants (solar + storage, wind + storage, diesel + renewables) who struggle with scattered alarms, vendor portals, and reactive maintenance. It ingests SCADA/EMS tags, inverter/BESS telemetry, and CMMS work orders to produce a single “health + risk” view of the plant, then recommends maintenance windows that minimize lost revenue and curtailment. This is a combination traditional + AI app: traditional rules handle compliance/thresholds, while AI models detect abnormal degradation patterns (e.g., inverter clipping changes, battery impedance drift) and forecast near-term failure likelihood. The app focuses on practical outputs: prioritized work orders, parts lead-time alerts, and a weekly maintenance schedule aligned to expected generation, market prices, and grid constraints. It’s not a dispatch optimizer; it’s an operations reliability layer that pays for itself by preventing avoidable outages.

← Back to idea list