Agrivoltaics: Powering AI Infrastructure Sustainably

Syllabus: GS3/Energy

Context

• The proposed Google AI Data Centre in Visakhapatnam has brought the concept of agrivoltaics into focus as a sustainable solution to meet the rising energy demand of AI infrastructure.

Background

• Google has announced a US$15 billion investment to establish a 1 GW Artificial Intelligence (AI) Data Centre in Visakhapatnam, Andhra Pradesh. 
• AI data centres require enormous amounts of electricity to power servers, cooling systems and digital infrastructure.
• If this demand is met through the existing electricity grid, it could increase pressure on power supply, reduce electricity availability for agriculture and households, and increase dependence on fossil-fuel-based power generation.

What is Agrivoltaics?

• Agrivoltaics, also known as Agri-Photovoltaics (APV), is a land-use system in which agricultural activities and solar power generation are carried out simultaneously on the same piece of land.
• Under this system solar panels are installed at a height of about 10–12 feet, allowing farming activities to continue beneath them.
  • The same land produces food as well as renewable energy, improving land-use efficiency and farm income.
• Government Support: PM-KUSUM (Pradhan Mantri Kisan Urja Suraksha evam Utthaan Mahabhiyan) promotes decentralised solar power generation and solarisation of agriculture.
  • Agrivoltaics can complement PM-KUSUM by enabling farmers to generate electricity without reducing cultivated land.

Significance 

• Dual income for farmers: Farmers earn from land lease or power sale alongside crop revenue, improving rural income stability.
  • For example, pilot agrivoltaic projects by  National Institute of Wind Energy (NIWE) and IIT Bombay have shown yield benefits for shade tolerant crops.
• Microclimate benefits: The panels provide partial shadowing, which helps to reduce evapotranspiration and loss of soil moisture, therefore aiding water-stressed regions and enhancing climate resilience.
• Strategic sectors’ energy security: Sustainability fuelled compute infrastructure for India’s quest for AI self-reliance under the IndiaAI Mission, and not fossil fuel-dependent grids.
• Land use efficiency: Research suggests agrivoltaic systems can generate a greater combined land equivalent ratio than either separate solar or separate farming.
• Alignment with climate commitments: Supports India’s Nationally Determined Contributions and aim of 500 GW non fossil fuel capacity by 2030.

Challenges

• High capital costs for elevated mounting structures as compared to traditional ground mounted solar.
• Constraints on crop selection, as not all crops can survive partial shading, restricting scalability to shade tolerant cultivars such as turmeric, ginger and green vegetables.
• Grid integration problems, given the unpredictable solar output requires robust storage and transmission infrastructure to consistently power ongoing AI workloads.
• Issues of land tenure and farmers’ consent, as in other infrastructure corridors, might be raised by corporate led land acquisition for big scale projects, which can lead to displacements.

Way Ahead

• Create a national agrivoltaics strategy that stresses criteria for compatible crops in shade, alternative land leasing structures, and options for farmers to share in the benefits.
• Ensure inclusive planning that protects the land rights of farmers, while enabling India to achieve the twin goals of AI-led digital growth and climate-responsible energy transition.

Source: IE