EventsThe 1st International Online Conference on Designs
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This submission belongs to the session S6. Digital Design Technologies for Energy Equipment and Systems of the event The 1st International Online Conference on Designs
Published date
06 Feb, 2026
Academic Editor
author-avatarWenbin Yu
Citation
Nathalia Wolf, Juan Sepulveda, Alejandro Angulo, Integrating Hydrogen Purchase Agreements and Contracts-for-Difference into Stochastic Optimization of Green Hydrogen–Ammonia Plants, in Proceedings of The 1st International Online Conference on Designs, 9 February–10 February 2026, MDPI: Basel, Switzerland
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Integrating Hydrogen Purchase Agreements and Contracts-for-Difference into Stochastic Optimization of Green Hydrogen–Ammonia Plants

Nathalia Wolf 1
Juan Sepulveda 1
Alejandro Angulo 2,3
1. OptimAI Labs, Valparaíso, Chile, Chile
2. Department of Electrical Civil Engineering, Federico Santa María Technical University, Valparaíso, Chile, Chile
3. OptimAI Labs, Valparaíso, Chile
Abstract

Green hydrogen projects face significant market risk from volatile electricity costs, uncertain renewable supply, and unstable hydrogen and ammonia prices. We present a two-stage stochastic optimization framework that integrates long-term financial contracts into the joint design and operation of an integrated hydrogen–ammonia plant. The model endogenizes Hydrogen Purchase Agreements (HPAs) and Contracts-for-Difference (CfDs) as first-stage decisions together with capacities of electrolysis, Haber–Bosch synthesis, air separation, storage, and grid connection. Second-stage decisions represent hourly dispatch with detailed material and power balances under scenario-based uncertainty in renewable availability and commodity prices. The objective maximizes expected net present value penalized by Conditional Value at Risk (CVaR) to reflect downside protection and bankability.

The problem is formulated as a mixed-integer linear program. We solve the extensive form via sample average approximation (SAA) and implement an integer L-shaped method with multi-cuts. The master problem includes capacity and contract variables and a linear CVaR reformulation, while scenario subproblems are linear operational models that generate feasibility and optimality cuts. Warm starts from a risk-neutral solution and contract screening are used to improve convergence. Computational experiments report solution quality and convergence behavior as functions of scenario count and risk aversion and evaluate outcomes using expected NPV, CVaR, and probability of loss, including out-of-sample performance assessment.

A case study motivated by export-oriented projects in Chile evaluates contractual portfolios by comparing no contracts, HPA-only, CfD-only, and joint portfolios against risk-neutral and risk-averse baselines. The analysis characterizes how contracting interacts with optimal sizing and operations across regimes and discusses implications for policy programs offering bankable offtake or price-stabilization instruments in green hydrogen–ammonia value chains.

Keywords
Green hydrogen
Ammonia
Stochastic optimization
HPAs
CfDs
Risk management
Investment planning
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