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RenewableRisk_Astrid2026-04-10
frmPart IValuation and Risk Models

How are long-term power purchase agreements (PPAs) valued, and what are the key risk factors in pricing them?

I'm looking at energy markets content in FRM and PPAs seem to combine elements of forward contracts, options, and credit risk. A 15-year PPA with a solar farm has a fixed price but variable volume. How do risk managers approach valuing something with so many moving parts?

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Power purchase agreements are long-dated contracts where a buyer (offtaker) agrees to purchase electricity from a generator at a predetermined price structure. Valuing a PPA requires modeling multiple interacting risk factors over horizons that can stretch 10-25 years -- far beyond typical derivatives.\n\nPPA Valuation Framework:\n\nThe value of a PPA to the offtaker is the present value of expected savings (or costs) relative to purchasing at market prices:\n\nPPA Value = Sum over all periods of: [E(Market Price_t) - PPA Price_t] x E(Volume_t) x DF(t)\n\nKey Risk Factors:\n\n| Risk Factor | Description | Impact |\n|---|---|---|\n| Price risk | Forward power curve beyond liquid horizon | Largest driver of value |\n| Volume risk | Solar/wind intermittency, degradation | Affects expected cash flows |\n| Shape risk | When generation occurs vs. peak/off-peak | Time-of-day value matters |\n| Basis risk | Generator location vs. settlement hub | Congestion costs |\n| Credit risk | Counterparty default over 15-25 years | Requires CVA adjustment |\n| Cannibalization | More renewables depress power prices during generation hours | Reduces long-term value |\n\nWorked Example:\nBrightfield Energy signs a 10-year PPA with a 100 MW solar facility at a fixed price of $38/MWh. Expected annual generation: 210,000 MWh (21% capacity factor with panel degradation of 0.5%/year).\n\nYear 1 valuation at current forward curve:\n- Expected market price: $45/MWh\n- Volume: 210,000 MWh\n- Savings: (45 - 38) x 210,000 = $1,470,000\n\nYear 5 (beyond liquid forwards, using fundamental model):\n- Expected market price: $42/MWh (cannibalization effect)\n- Volume: 210,000 x (1 - 0.005)^4 = 205,830 MWh (degradation)\n- Savings: (42 - 38) x 205,830 = $823,320\n\nYear 10:\n- Expected market price: $39/MWh (further cannibalization)\n- Volume: 210,000 x (1 - 0.005)^9 = 200,720 MWh\n- Savings: (39 - 38) x 200,720 = $200,720\n\nDiscounted at 7.5% WACC and summing all years yields the PPA net present value.\n\nModeling Challenges:\n- Power forward curves are typically liquid only 3-5 years out; beyond that, fundamental models (fuel costs, capacity additions, demand growth) are needed\n- Solar and wind generation profiles correlate with price (sunny hours produce both maximum solar output and potentially lower prices)\n- Regulatory changes (carbon pricing, renewable mandates) create scenario-dependent outcomes\n- Credit exposure grows over time as market prices and PPA prices diverge\n\nRisk Management Approach:\nRisk managers typically run Monte Carlo simulations across correlated power price, renewable generation, and interest rate paths, then compute CVaR or expected shortfall on the PPA portfolio.\n\nLearn more about energy risk management in our FRM course materials.

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