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In the transition toward sustainable agriculture, farms have emerged as eco-friendly pioneers, harnessing cleanhybrid wind and solar systems to improve farm performance. A concern in this paradigm is the effective sizing of renewable energy systems to ensure optimal energy use within budget considerations. This research focuses on optimizing renewable energy sizing in small-scale ammonia production to meet specific farm demands and enhance local resilience, emphasizing the interplay between environmental and economic factors. These findings promise increased energy efficiency and sustainability in this innovative agricultural sector. Additionally, our approach considers small-scale ammonia plant needs and the dynamic relationships between ammonia, water, and farm demands. Simulations demonstrate substantial cost savings in farm electricity consumption. Specifically, scenarios with renewable energy integration in the farm can reduce at least 13% electricity cost compared to a grid-dependent system in the 15-year simulation. 

Developing resilience in food, energy, and water (FEW) systems is a critical priority. The structural topology of the components of complex agricultural systems interact in ways that can only be grasped via models and simulations. We extend previous work on graph models that represent complex inter-level topology. We show some results of simulating system dynamic model as a formally tractable way of understanding resilience in these systems. 

This paper identifies common varieties of threats and perturbations in contemporary food, energy, and water (FEW) systems in order to improve system resilience. We categorize perturbations and challenges faced by subsystems and then concentrate on the structural topology of the project’s components. We provide a graph model to represent this topology as an essential tool to improve system resilience. The model is then converted to a system dynamic model for further simulation.