Monitoring Data TRUST-PV Bifacial HJT SAT Plant, Bolzano, Italy (Q7557)

This dataset contains one year (2024) of measurements from the TRUST-PV Single-Axis Tracker demonstration plant in Bolzano, Italy. TRUST-PV was an H2020 project aiming to enhance the performance and reliability of solar power plants through innovative, AI-driven solutions and advanced monitoring systems. For more information see https://trust-pv.eu/. Source: Conversation with Copilot, 30/01/2025(1) TRUST PV SOLAR PV, performance realiablity. https://trust-pv.eu/.(2) TRUST-PV - EURAC Research. https://www.eurac.edu/en/institutes-centers/institute-for-renewable-energy/projects/trust-pv. The plant is installed at the following GPS coordinates (latitude, longitude): 46.4758, 11.3302. It features four single-axis trackers, each with 12 bifacial HJT modules, connected to an inverter in two strings of 24 modules each. String 1 is located on Trackers 0 and 1, and has 24 modules of 375 Wp nameplate capacity. String 2, located on Trackers 2 and 3, has 24 modules of 360 Wp nameplate capacity. The SAT axis azimuth is approximately 200 degrees from North. Irradiance measurements are provided from two pyranometers, installed on Tracker 1, on the module plane (Gpoa) and on the rear module plane (Albedo). The dataset includes the following parameters at a time resolution of 5 minutes: Time: The timestamp for each recorded data point. String1 and String2: These columns include measurements for DC and AC current, voltage, and power for the two different strings of the PV system. Tracker0, Tracker1, Tracker2, and Tracker3: These columns contain temperature readings from multiple RTD sensors (Temp_RTD1.C to Temp_RTD12.C) placed on modules mounted on the four single-axis trackers. Tracker1.Pyranometer_Albedo.W/m2 and Tracker1.Pyranometer_Gpoa.W/m2: Measurements for albedo (rear side of tracker plane) and global plane of array (Gpoa) irradiance in W/m. System.Active_Power.kW: Active power of the total system in kW. For more information contact Atse Louwen (atse.louwen@eurac.edu). This project received funding from the European Union's Horizon 2020 research and innovation programme under GA number 952957.