Weather Station (WST)
The Weather Station is a core asset type in the Bazefield platform representing a single physical weather station in a power plant. It serves as the foundational asset for collecting, organizing, analyzing, and visualizing meterological data. Each weather station asset is uniquely identified and associated with a parent site (e.g a “solar farm”), optional inverter station, forming part of the broader asset hierarchy of a solar farm.
Functional Description
A Weather Station measures the site meteorological data. There can be multiple Weather Stations on site at different locations, thus measuring different weather conditions. Weather Stations can be equipped of different sensors and measure different characteristics:
Irradiance POA - Plane of Array
Irradiance GHI - Global Horizontal
Ambient temperature
Module temperature
Wind speed
Rain Quantity
Albedo (for bifacial panels)
Rear Irradiance POA (for bifacial panels)
There can be several sensors on one weather stations including several sensors of the same type to enable redundancy and avoid issues in case of sensor miscalibration.
The Weather Station can be used for physical sensors as described previously but also for Satellite or Forecast weather data.
Core Data Model
While the data model of weather stations vary by vendor and site, Bazefield offers a pre-installed CORE data model to account for the most common points, events, and attributes relevant to all makes and models of weather stations. Model by model variations are then handled typically through smart Model Inheritance. All vendor specific points, calculation, and events are packaged in separate asset model templates, and are not described here.
Core Attributes
Attributes are fixed key, value pairs used to represent non-time series data associated with each asset (read more about Attributes). While attribute values can differ from asset to asset, critical shared (e.g. CORE) attributes defining a wind turbine asset type, pre-installed in Bazefield are described below. These are often pre-requisite data required for the Bazefield applications to function fully.
Required for basic Bazefield Core functionality
Optional attributes for common additional modelling
Depending on your version of Bazefield, there may be additional advanced attributes not listed here to support data integrations or migrations with other systems.
Attribute | Key | Description | |
|---|---|---|---|
Latitude | latitude | The latitude of the Weather station. | |
Longitude | longitude | The longitude of the Weather station. | |
Time Zone | timeZone | Select this Weather station local time zone. | |
Data Quality | dataQuality | Required setting for data quality calculation using the Bazefield Solar AI product | |
Tilt Angle (Deg) | tiltAngle | The angle between the horizontal plane and the panels installed within the area monitored by the pyranometer. The maximum angle is 90°. If the tilt angle of the weather station is inconsistent with that of the modules in the corresponding tracker group, the weather station must be configured horizontally. When the tracker type is Dual Axis Tracker, the tilt angle of the weather station must be configured horizontally. | |
Azimuth (Deg) | azimuth | The azimuth (the horizontal angle measured clockwise from the north) of panels installed within the area monitored by the pyranometer. | |
Data Source | dataSource | Select the data source of the weather station; the default value “SENSOR” means the collection from the local weather sensor. If you select “SATELLITE”, the satellite data will be used in AI Solar as the source or irradiation. | |
Is Virtual Device | isVirtualDevice | If the device has no real-time data connection, please set this attribute as "Yes". Then, the system will output only night and normal status for this device. The default value is "No" if this attribute is none. |
Certified Product Templates
This section will describe the common, shared point, event, and other data templates applicable to a wind turbine asset type pre-installed by the Bazefield product team.
Coming Soon