NIT Rourkela Develops AI System For Autonomous Solar Cleaning
POWER & RENEWABLE ENERGY

NIT Rourkela Develops AI System For Autonomous Solar Cleaning

Researchers at the National Institute of Technology Rourkela have developed an Artificial Intelligence (AI) powered autonomous system to monitor and clean solar panels only when required, a development designed to improve the efficiency of solar power plants while reducing maintenance costs and water consumption. The innovation, titled Federated Learning (FL) based Autonomous System and Method for Monitoring and Cleaning Solar Plant, has been granted an Indian patent and was developed by faculty and research graduates in the Department of Computer Science and Engineering.

The system employs Federated Learning to enable intelligent monitoring while preserving data privacy by sharing encrypted model updates rather than raw operational data, thereby reducing cybersecurity risk and bandwidth usage. It integrates edge computing, predictive maintenance and autonomous fault detection to optimise operations and to identify panels that require selective cleaning. The technology aims to address efficiency losses caused by dust, bird droppings and industrial pollutants, which researchers say can reduce panel output by up to 40 per cent in arid regions.

Existing cleaning regimes are commonly labour intensive, water intensive and scheduled irrespective of panel condition, whereas the new system detects dirt accumulation and orchestrates selective cleaning only where necessary, which is expected to conserve resources. The approach has been validated through simulations at Technology Readiness Level (TRL) three and the team plans to develop a hardware prototype with Internet of Things (IoT) sensors for pilot deployments with government agencies and industry partners.

Researchers estimate that, once commercialised, the system could offer advanced AI driven capabilities at nearly 10 per cent of the cost of comparable solutions, which would support India’s National Solar Mission and net zero aims by enabling smarter maintenance of solar infrastructure. The technology is intended for deployment across utility scale parks, floating and rooftop photovoltaic installations, industrial facilities, smart city infrastructure and remote off grid renewable energy systems.

Researchers at the National Institute of Technology Rourkela have developed an Artificial Intelligence (AI) powered autonomous system to monitor and clean solar panels only when required, a development designed to improve the efficiency of solar power plants while reducing maintenance costs and water consumption. The innovation, titled Federated Learning (FL) based Autonomous System and Method for Monitoring and Cleaning Solar Plant, has been granted an Indian patent and was developed by faculty and research graduates in the Department of Computer Science and Engineering. The system employs Federated Learning to enable intelligent monitoring while preserving data privacy by sharing encrypted model updates rather than raw operational data, thereby reducing cybersecurity risk and bandwidth usage. It integrates edge computing, predictive maintenance and autonomous fault detection to optimise operations and to identify panels that require selective cleaning. The technology aims to address efficiency losses caused by dust, bird droppings and industrial pollutants, which researchers say can reduce panel output by up to 40 per cent in arid regions. Existing cleaning regimes are commonly labour intensive, water intensive and scheduled irrespective of panel condition, whereas the new system detects dirt accumulation and orchestrates selective cleaning only where necessary, which is expected to conserve resources. The approach has been validated through simulations at Technology Readiness Level (TRL) three and the team plans to develop a hardware prototype with Internet of Things (IoT) sensors for pilot deployments with government agencies and industry partners. Researchers estimate that, once commercialised, the system could offer advanced AI driven capabilities at nearly 10 per cent of the cost of comparable solutions, which would support India’s National Solar Mission and net zero aims by enabling smarter maintenance of solar infrastructure. The technology is intended for deployment across utility scale parks, floating and rooftop photovoltaic installations, industrial facilities, smart city infrastructure and remote off grid renewable energy systems.

Related Stories

Gold Stories

Next Story
Infrastructure Urban

PMC Approves Rs 5.78 bn Waste Processing Contract

The Pune Municipal Corporation approved a Rs 5.7796 billion (bn) fifteen-year contract to process 500 metric tonnes (t) of waste daily at the Devachi Uruli depot and allowed unauthorised overhead cables to remain temporarily for one year subject to a fee. The decision was taken by the civic body to appoint a private operator for an integrated waste facility covering about 12 acres. The approval frames the contract as an operational arrangement with a fixed base rate and annual adjustments. The contract was awarded to Bhoomi Green Energy Envirocare LLP, which quoted Rs 772 per t, compared with ..

Next Story
Infrastructure Urban

Kerala High Court to Inspect Brahmapuram Waste Plant

Two judges of the Kerala High Court, Justice Bechu Kurian Thomas and Justice Gopinath P, will inspect the Brahmapuram waste management plant on 11 September as part of the suo motu proceeding on the plant's maintenance. The inspection was scheduled to allow the bench to assess conditions on site and to verify representations made by municipal and state authorities. The court listed the site visit during a hearing and directed officials to prepare for an on-site review. The bench instructed authorities to file a detailed report on the plant's present functioning ahead of the visit. It said the ..

Next Story
Infrastructure Transport

Ahmedabad Geetamandir Bus Port Terminal Two Ready with Airport Facilities

Ahmedabad’s Geetamandir Bus Port has completed a separate Terminal Two, which is ready to serve passengers travelling to Saurashtra-Kutch and North Gujarat. The facility has been developed with airport like facilities to improve passenger comfort and ease of travel. Deputy Chief Minister Harsh Sanghvi is scheduled to inaugurate the new terminal today. Authorities say the design focuses on smoother boarding and reduced congestion. Terminal Two will become operational from 13 August and is expected to handle 1,091 buses daily servicing routes to Saurashtra-Kutch and North Gujarat. The new arra..

Advertisement

Subscribe to Our Newsletter

Get daily newsletters around different themes from Construction world.

STAY CONNECTED

Advertisement