Real assets in the energy market are subject to ecological uncertainty due to the penetration of renewables. We illustrate this point by analyzing electrolyzers, a class of assets that recently became the subject of large interest, as they lead to the production of the desirable green hydrogen and green ammonia. The latter has the advantage of being easily stored and has huge potential in decarbonizing both the fertilizer and shipping industries. We consider the optimization of green ammonia production with different types of electricity procurement in the context of stochastic power and ammonia markets, a necessary assumption to translate the features of renewable, hence intermittent, electricity. We emphasize the importance of using stochastic prices to model the volatile nature of the price dynamics effectively, illustrating the project risks that hedging activities can mitigate. This study shows the pivotal role of flexibility when dealing with fluctuating renewable production and volatile electricity prices to maximize profits and better manage risks.

Renewable power purchase agreements (PPAs) expose generators and offtakers to capture‐price risk because realised revenue depends on prices during renewable production hours. Downside protection written on the production‐weighted settlement price is economically relevant, but difficult to mark and hedge because the index is non‐tradable and depends jointly on power prices and renewable output. This article develops a futures‐anchored statistical mark‐to‐model and hedging framework for long‐dated Asian floors embedded in renewable PPAs when renewable generation remains stochastic. The framework is not interpreted as a unique arbitrage‐free price in a complete market. Instead, it isolates the hedgeable component through liquid German baseload futures and updates the remaining price‐generation exposure using deterministic seasonal profiles and a vector autoregression for deseasonalised German day‐ahead price and wind‐generation residuals. Moment matching and a delta‐method approximation yield a tractable Bachelier‐style floor mark and operational futures hedge ratios. In pre‐delivery backtests for the 2024 and 2025 delivery years, the stochastic hedge reduces daily residual variance by 94.7% and 89.0%, respectively compared with 69.1% and 47.9% for a deterministic‐generation hedge. The results show that stochastic renewable production is a first‐order input for practical risk management of renewable PPA optionality.

Real assets in the energy market are subject to ecological uncertainty due to the penetration of renewables. We illustrate this point by analysing electrolysers, a class of assets which recently became the subject of a large interest, as they lead to the production of the desirable green hydrogen and green ammonia. The latter has the advantage of being easily stored and has huge potential in decarbonising both the fertilizer and shipping industries. We consider the optimization of green ammonia production with different types of electricity procurement in the context of stochastic power and ammonia markets, a necessary assumption to translate the features of renewable, hence intermittent, electricity. We emphasise the importance of using stochastic prices to effectively model the volatile nature of the price dynamics, illustrating the project risks that can be mitigated by hedging activities. This study shows the pivotal role of flexibility when dealing with fluctuating renewable production and volatile electricity prices to maximise profits and better manage risks.