Revolutionising Solar Power Plant Maintenance with Predictive AI

Digital Twin
April 5, 2024
2 minute read
Revolutionising Solar Power Plant Maintenance with Predictive AI

The world is trying its best to move towards sustainability, and the emerging players in this pursuit are the non-conventional energy sources. Solar energy, particularly, is increasingly becoming recognised as a convenient alternative to conventional power generation systems. However, some challenges associated with the critical parts of solar power plants can hinder efficient power operations. Specifically, solar panels, string combiner boxes (SCBs), and inverters often encounter problems hindering their efficiency and reliability, leading to significant energy production losses and financial implications.

The Challenges

  • Temperature fluctuations: Solar panel efficiency decreases with rising temperatures, resulting in substantial energy production losses.
  • SCB malfunctions: Faulty SCBs disrupt entire strings of solar panels, causing production drops and safety concerns.
  • Inverter issues: Inverter failures can halt power generation, leading to financial losses and grid instability.

PredCo's Innovative Approach

PredCo offers advanced predictive maintenance solutions that harness the power of Industry 4.0 to provide solar power industries with streamlined operations. 

  • Our system continuously collects sensor data from solar panels, SCBs, and inverters, facilitating real-time monitoring of critical parameters such as temperature, current, voltage, and power output.
  • Using machine learning algorithms, PredCo analyses data to identify patterns, trends, and anomalies. We can detect potential equipment issues before they escalate by comparing current and voltage readings with historical data and predefined thresholds, enabling prompt intervention and preventive maintenance.
  • PredCo's system monitors data transmission consistently to identify sensor malfunctions or communication issues, ensuring data integrity and system reliability.
  • The Digital Twin feature enables a holistic asset performance visualisation, enabling early prediction of issues and alleviating concerning bottlenecks. With real-time asset visualisation and dynamic simulations, our system empowers users with data-based decision-making. 

By continuously monitoring key parameters and utilising advanced machine learning algorithms, PredCo's predictive maintenance solutions have the potential to:

  • Reduce energy production losses by up to 15% through early detection and prevention of equipment failures.
  • Minimise downtime by up to 35-45% by enabling proactive maintenance and repairs.
  • Extend equipment lifespan by up to 20% through improved operational practices guided by real-time data insights.

PredCo aims to empower solar plant operators to achieve optimal performance, maximise efficiency, and contribute to a cleaner, more sustainable energy future using the power of Industry 4.0. We continuously work towards streamlining your operations using our advanced predictive AI solutions as our contribution to forge a brighter, more sustainable future.

Predict Today, Perfect Tomorrow