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Energy economics and project finance: LCOE and PPAs

Energy / Renewable Energy Engineering (B.Tech) · Energy efficiency, policy and economics · free study notes for exams, placements and interviews

In short

Energy economics asks whether a power project is worth building: it converts a lump-sum capital cost, a stream of running costs and a stream of electricity units into one comparable number, the levelised cost of energy (LCOE) in ₹/kWh. The power purchase agreement (PPA) is the contract that turns that cost into bankable revenue — in India usually a 25-year, fixed-tariff offtake won in a reverse auction run by SECI, NTPC or a state DISCOM. Together they decide which projects reach financial close, because lenders fund against contracted cash flow and a minimum debt service coverage ratio, not against engineering elegance. Examined in AICTE/CBCS energy-engineering and energy-management courses, in GATE-level "energy economics" questions on discounting, annualised cost and payback, and asked in interviews at developers (Adani Green, Tata Power Renewables, ReNew, NTPC Green, JSW Energy), EPC firms, consultancies (Mercados, Deloitte, KPMG energy practices) and lender/IPP finance teams.

Explained

The time value of money - the base of everything

Cost structure of an energy project

LCOE - meaning, method and limits

PPAs - structure and Indian practice

Financing, taxes and policy levers in India

Comparing and presenting options

Key points

Formulas and examples

LCOE = [ Σₜ (Iₜ + Mₜ + Fₜ) / (1+r)ᵗ ] ÷ [ Σₜ Eₜ / (1+r)ᵗ ] — I = investment, M = O&M, F = fuel (₹); E = net energy (kWh); r = discount rate (per unit); t = year
CRF = i(1+i)ⁿ / [(1+i)ⁿ − 1] — i = discount rate per year, n = life in years; CRF has units of 1/year
Simplified LCOE (₹/kWh) = (CRF × Capex + annual O&M) / annual net energy — capex in ₹, O&M in ₹/yr, energy in kWh/yr
PVIFA (present value of an annuity of 1) = [1 − (1+i)⁻ⁿ] / i = 1/CRF
NPV = Σₜ CFₜ/(1+r)ᵗ − I₀ ; IRR: NPV(r = IRR) = 0
WACC = (E/V)·kₑ + (D/V)·k_d·(1 − T) — E, D = equity and debt, V = E + D, kₑ, k_d = costs of equity and debt, T = effective tax rate
CUF = E_annual / (P_rated × 8,760) ; Eₜ = E₁ × (1 − d)t−1 for degradation rate d
DSCR = (EBITDA − tax) / (interest + principal repayment) in the same year
Simple payback = Capex / (annual net saving or net cash flow) ; EAC = NPV of costs × CRF

Example 1 - LCOE of a 50 MW solar plant (short-cut method). Capex ₹4.0 crore/MW → ₹200 crore; O&M ₹5 lakh/MW/yr → ₹2.50 crore/yr; CUF 21%; life 25 yr; discount rate 10%.

Example 2 - sensitivity of the same plant.

CaseCRFAnnual cost (₹ cr)Energy (M kWh)LCOE (₹/kWh)
r = 8%, CUF 21%0.0936821.2491.982.31
r = 10%, CUF 21% (base)0.1101724.5391.982.67
r = 12%, CUF 21%0.1275028.0091.983.04
r = 10%, CUF 19%0.1101724.5383.222.95

Moving the discount rate from 8% to 12% raises LCOE by about 32% with no change in hardware - this is why cheap, long-tenor rupee debt is the main policy lever on solar tariffs.

Example 3 - rooftop solar and grid parity (100 kWp commercial roof). Capex ₹45,000/kWp → ₹45,00,000; O&M ₹30,000/yr; specific yield 1,500 kWh/kWp/yr → 1,50,000 kWh/yr; life 25 yr; r = 9%.

Example 4 - is a ₹2.70/kWh PPA bankable? (100 MW solar). Capex ₹400 crore (75% debt = ₹300 crore at 9.5% for 15 years, equity ₹100 crore); CUF 24%; O&M ₹5 crore/yr.

Example 5 - NPV, IRR and WACC of the same project (pre-tax, level cash flow).

Technology (India, indicative)Typical LCOE ₹/kWhMain cost driver
Utility solar PV2.3 - 3.0Capex + discount rate
Onshore wind2.8 - 3.6Site wind resource (CUF)
Solar + BESS (RTC/FDRE)4.0 - 5.5Battery capex, cycles
New supercritical coal4.5 - 6.5Fuel and PLF
Diesel genset (back-up)20 - 28Diesel price

Ranges are indicative and move with module prices, interest rates and duties; quote the latest discovered tariff from a named SECI/NTPC/state auction when precision matters.

Where it is used

Interview questions

Common mistakes

Related topics

Renewable energy policy in India: MNRE, net metering and RPO · Energy audit and conservation · Energy efficiency in buildings and industry: ECSBC and the PAT scheme · Solar PV system design and yield estimation · Energy storage systems and BESS economics · Power system economics, load dispatch and electricity markets

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