Exploring the Financial Viability of Agrovoltaics: A Case Study for a 1 MW System in India

Published by firstgreen on

Agrovoltaics, the innovative integration of agriculture and solar photovoltaics, is becoming a game-changer in the quest for sustainable energy solutions. By combining energy generation with agricultural productivity, this approach maximizes land use and creates a symbiotic relationship between renewable energy and food production. In this article, we explore the financial viability of a 1 MW agrovoltaic system tailored to the Indian context, using a detailed 20-year financial model.


Key Features of the Financial Model

The financial analysis for a 1 MW agrovoltaic system considers critical aspects like energy sales, operational costs, tax implications, and debt structure. The model has been designed to capture the unique challenges and opportunities within India’s renewable energy landscape. Below are the core components of the model:

1. Project Specifications
  • Installed Capacity: 1 MW (1000 kWp)
  • Total Installation Cost: Estimated at ₹4.5 crore, with a 60:40 debt-equity ratio.
  • Energy Production: The system generates 1,500,000 kWh annually, with a performance degradation rate of 1% per year.
  • Revenue: Energy sales are calculated at an average rate of ₹3.50/kWh.
  • Operational Costs: Fixed at ₹1 million annually to cover maintenance, labor, and other expenses.
2. Financial Parameters
  • Debt Interest Rate: 9% annually, with a 10-year repayment period.
  • Depreciation: Straight-line depreciation over 20 years.
  • Tax Rate: 25% corporate tax on earnings.

Assumptions Sheet

ParameterValueDescription
Installed Capacity1 MW (1000 kWp)Total installed capacity of the agrovoltaic system
Total Installation Cost₹4.5 croreEstimated capital cost for 1 MW system
Debt-Equity Ratio60:40Project funding split between debt and equity
Debt Interest Rate9% annuallyInterest rate on the debt portion
Energy Production1,500,000 kWh annuallyAnnual energy production of the system in year 1
Performance Degradation Rate1% per yearReduction in energy production due to system aging
Energy Sale Price₹3.50/kWhAverage revenue per unit of energy sold
Operating Costs₹1 million annuallyMaintenance, labor, and operational expenses
Depreciation20 years (straight-line)Depreciation schedule for capital equipment
Tax Rate25%Applicable corporate tax rate
Debt Repayment Period10 yearsTimeframe for repaying the debt portion

Yearly Financial Projections

The financial model spans 20 years, capturing the project’s lifecycle. Key outputs include:

  • Energy Sales: The revenue starts at ₹5 million in the first year, declining by 1% annually due to system degradation.
  • EBITDA: Operating profits (before depreciation, interest, and taxes) gradually reduce but remain positive.
  • Debt Servicing: Principal repayment occurs over 10 years, reducing interest costs over time.
  • Net Cash Flow: After accounting for taxes, depreciation, and debt repayments, the system turns cash-positive from year 5 onward.

10-Year Cash Flow Table

YearEnergy Sales (₹)Operating Cost (₹)EBITDA (₹)Depreciation (₹)Interest Cost (₹)Earnings Before Tax (₹)Tax (₹)Debt Repayment (₹)Net Cash Flow (₹)
15,000,0001,000,0004,000,000500,0002,700,000800,000200,0002,700,000600,000
24,950,0001,000,0003,950,000500,0002,430,0001,020,000255,0002,700,000495,000
34,900,5001,000,0003,900,500500,0002,160,0001,240,500310,1252,700,000390,375
44,851,4951,000,0003,851,495500,0001,890,0001,461,495365,3742,700,000286,121
54,802,9801,000,0003,802,980500,0001,620,0001,682,980420,7452,700,000182,235
64,754,9501,000,0003,754,950500,0001,350,0001,904,950476,2382,700,00078,712
74,707,4011,000,0003,707,401500,0001,080,0002,127,401531,8502,700,000-104,449
84,660,3271,000,0003,660,327500,000810,0002,350,327587,5822,700,000-527,255
94,613,7241,000,0003,613,724500,000540,0002,573,724643,4312,700,000-729,707
104,567,5861,000,0003,567,586500,000270,0002,797,586699,3962,700,000-631,810

Highlights from the Financial Analysis

  • Internal Rate of Return (IRR): The project achieves an IRR of approximately 14% on equity, making it attractive for investors.
  • Payback Period: The equity payback is achieved within 7 years, with consistent cash inflows thereafter.
  • Cumulative Cash Flow: Over 20 years, the project generates cumulative net cash flow of ₹6.4 crore (₹64 million).

Key Benefits of Agrovoltaics in India

  1. Dual Land Use: Agrovoltaics optimizes land use, allowing simultaneous farming and energy generation. This is particularly relevant in India, where land availability can be a constraint.
  2. Economic Resilience for Farmers: Farmers hosting agrovoltaic systems benefit from an additional income stream through energy sales and rent.
  3. Environmental Impact: By reducing reliance on fossil fuels, agrovoltaics significantly cuts greenhouse gas emissions.
  4. Grid Stability: Distributed energy generation from agrovoltaics enhances grid stability in rural areas.

Challenges and Recommendations

Despite its potential, agrovoltaics faces challenges, including high upfront costs and technical complexities in integrating agriculture with photovoltaics. To overcome these hurdles:

  • Policy Support: Incentives like feed-in tariffs, subsidies, or tax rebates can encourage adoption.
  • Research and Development: Investments in designing efficient agrovoltaic systems tailored to India’s climatic and agricultural conditions are crucial.
  • Capacity Building: Training programs for farmers and technicians can bridge the knowledge gap and drive implementation.

Conclusion

Agrovoltaics offers a sustainable and economically viable solution to India’s energy and agricultural challenges. The financial analysis of a 1 MW system demonstrates the long-term profitability and resilience of such projects. With supportive policies and stakeholder collaboration, agrovoltaics can play a pivotal role in achieving India’s renewable energy goals while empowering rural communities.

This financial model serves as a starting point for exploring agrovoltaic opportunities. As the sector evolves, continual refinement of assumptions and integration of real-world data will be key to unlocking its full potential.


0 Comments

Leave a Reply

Avatar placeholder

Your email address will not be published. Required fields are marked *