Work / Renewable Energy
Case study Renewable Energy · Fractional CFO + business modeling

₹34,000 Cr Renewable Energy — multi-stakeholder solar modeling.

Central-government funded solar initiative across rural India, aligning state utilities, farmers, and public financing.

Outcomes
34,800 MW
Target installed solar capacity across five participating states.
₹60,000
Annual diesel and energy savings per farmer switching to solar pumps.
4–5 yrs
Payback period achieved for state utilities on subsidized electricity transition.

01Situation

An ambitious, central government-funded renewable energy initiative coordinated by the MNRE and GAPP aimed to deploy solar energy across rural India to reduce fossil fuel dependence. The multi-stakeholder project faced immense complexity: balancing the conflicting financial interests of state-owned Discoms (utilities), rural farmers, and public finance entities. State Discoms were suffering massive losses from providing free or heavily subsidized daytime electricity, while farmers lacked the capital to transition from diesel irrigation pumps. Our brief: develop a comprehensive, multi-state business model that demonstrated clear, tailored cash flow impacts for every stakeholder, making the transition financially viable and securing multi-state utility commitment.

02The work

  1. 01
    Quality-of-earnings and stakeholder-specific modeling. Constructed a flexible financial model incorporating macro-driven inputs with dedicated tabs tailored to each stakeholder's financial perspective. This allowed state governments, utilities, and farmers to see their specific cash flow impacts in real-time.
  2. 02
    Solar irradiance and loss integrations. Modeled location-specific physical variables, including regional solar irradiance curves, transmission line losses, and long-term panel degradation (typically 0.5-0.8% annually) to ensure energy yield forecasts were technically defensible under diligence.
  3. 03
    Low-interest financing structures. Integrated specialized government funding mechanics with low-interest rates (3-4% capital cost) into the debt model to support the ₹34,000 crore capital expenditure program across five states.
  4. 04
    Tariff and buy-back modeling. Structured a dual-revenue model for farmers: free daytime power for irrigation and a net-metering tariff for selling surplus electricity back to the grid. This converted state Discoms from loss-making free-power suppliers into purchasers of cheap solar electricity.

03Result

The business model successfully aligned state Discoms across five states, securing commitments to install a targeted 34,800 MW of capacity. Farmers transitioning from diesel pumps achieved average annual savings of ₹60,000 per 5HP pump, with the capital payback period dropping to 4-5 years. State utilities projected full cost recovery within five years due to the elimination of high-cost diesel subsidies and the introduction of cheaper solar buy-backs. The project established a clean, repeatable template for subsequent public-private rural electrification initiatives.

04Lessons

  • Multi-stakeholder infrastructure projects cannot rely on a single consolidated model. Success requires custom, stakeholder-specific views that address conflicting financial incentives directly.
  • Physical variables like irradiance, degradation, and line losses must be integrated directly with financial variables. Purely financial models fail under real-world operating conditions.
  • Favorable low-interest debt structures are the key lever to compress the payback period for capital-heavy rural transitions.
AK
Associate · Renewable Energy

Ashutosh Kagali

Associate

Chartered Accountant and corporate finance specialist. Experience spans London Stock Exchange Group as Nordic controller, XF1 modeling SaaS and renewable energy projects, and Eightx leading strategic finance for CPG clients. Focuses on identifying operational gaps, department-level metric alignment, and custom decision-support modeling.

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