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Renewable Ammonia Supply Chain: Regime-Switching Buffer Model (2D)

This simulation illustrates the complexities of producing renewable ammonia using intermittent renewable energy sources, highlighting the challenges and solutions in managing supply chain variability.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

Overview of Renewable Ammonia Production

Renewable ammonia is produced using the Haber-Bosch process powered by intermittent renewable energy sources like wind or solar. This method aims to reduce greenhouse gas emissions and dependency on fossil fuels, making it a crucial component in sustainable agriculture and industrial processes.

The challenge lies in matching the variable supply of renewable energy with the constant demand for ammonia production, necessitating sophisticated models to optimize efficiency and minimize waste.

Regime-Switching Buffer Model

A regime-switching buffer model uses a continuous-time Markov chain to simulate different wind conditions (Calm, Breezy, Gusty) that affect the renewable energy capacity. This model helps in understanding how varying wind regimes impact the production process and storage requirements.

By incorporating a buffer tank to store excess ammonia during periods of high renewable energy availability, the model aims to balance supply with demand, reducing curtailment (production cut-off due to insufficient renewable energy) and stockout risk.

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Impact of Buffer Tank Size and Shipping Cadence

The buffer tank size significantly influences the system's ability to manage variability in renewable energy supply. Larger tanks can store more ammonia, providing a safety cushion against potential shortages but also increasing storage costs.

Adjusting the ship-loading interval is another critical factor. A shorter interval ensures more frequent shipments but may lead to higher operational costs and increased risk of curtailment if not aligned with production capacity.

Real-World Applications

This model can be applied in green ammonia export terminals, helping policymakers and industrialists design more resilient supply chains. By optimizing buffer sizes and shipping schedules, it supports the transition to renewable energy-based industries.

The insights gained from this simulation are valuable for developing strategies that balance environmental sustainability with economic efficiency in fertilizer manufacturing.

Frequently asked questions

What is curtailment in renewable ammonia production?

Curtailment occurs when renewable energy sources cannot meet the required demand, leading to a reduction or cessation of ammonia production to avoid overloading the system.

How does wind variability affect renewable ammonia supply chains?

Wind variability impacts the predictability and reliability of renewable energy supply, making it challenging to maintain consistent ammonia production levels. The regime-switching buffer model helps manage these fluctuations.

Why is a buffer tank important in renewable ammonia production?

A buffer tank stores excess ammonia during periods of high renewable energy availability, ensuring continuous production and reducing the risk of stockouts when energy supply is low.

What are some real-world implications of optimizing renewable ammonia supply chains?

Optimizing these supply chains can lead to reduced greenhouse gas emissions, increased energy efficiency, and more reliable fertilizer supplies for agricultural needs, contributing to sustainable development goals.

Try it live

Everything above runs in your browser — open Renewable Ammonia Supply Chain: Regime-Switching Buffer Model (2D) and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Renewable Ammonia Supply Chain: Regime-Switching Buffer Model (2D) simulation

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