End User:



Design, procurement, supply, installation, and commissioning of two solar data monitoring stations along with weather monitoring stations, inverters and IV tracers. Also, developing a cloud-based data analytics platform for data presentation and analysis.


K•A•CARE is an independent organization established by Royal Order in April 2010.

It has the responsibility to develop the renewable energy programme in Saudi Arabia.

The customer wants to design and build two solar monitoring stations to study the performance of five major PV Technologies exposed to two types of environments inside the Kingdom of Saudi Arabia.

One station is located near Dammam, with the humid climate and the other is located in Riyadh, with a dry climate. The customer requirement was to fetch the data and transfer to a cloud system for further analytics and monitoring.

System Description: Data Monitoring Station

The project used five technologies to set up the Solar PV stations. They are as follows:

  • Monocrystalline
  • Polycrystalline
  • HIT
  • CdTe
  • CIGS

The output of the evaluation sites is taken by individual grid-connected inverters and transferred to the grid via an inverter combiner box.

The surface temperature is also measured here. The inverter data and surface temperature are made available to the Data acquisition system.

At both Humid and Dry stations, there are 5 modules of each technology that are analyzed by 5 IV tracers connected to an IV gateway through wireless communication to transfer the data.

The sensors used the data monitoring station are:

  • Ambient Temperature & Humidity sensors
  • Wind speed & Wind direction sensors
  • Pyranometers to measure Global Horizontal Irradiance,
  • A plane of Array Irradiance and site albedo
  • UV Irradiance sensor,
  • A barometric pressure sensor,
  • Pyrgeometer to calculate Sky temperature
  • Module temperature sensors

These sensor data are fetched by data gateway via an analog input module and processor.

A modular industrial gateway is used to store the data locally & implement the connectivity between DAS system at site and Cloud service.

By implementing this project, the customer is benefitted by the performance analysis of real-time data. By implementing a practical experiment, the actual power generation of five PV technologies is gained.

Besides that, a detailed performance study and analysis of each PV technology can be done in two different conditions i.e, Humid and Dry.

This data results in the visualization of real-time and trends. Time is synchronized which results in high performance and scalable architecture. The communication and encryption are secured and data archival options are made available.

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