Nitrogen-based fertilizers production is an energy intensive chemical process, responsible for considerable GHG emissions and heavily dependent on fossil fuels. The present study evaluates the economic feasibility of a renewable urea process by coupling process modeling and simulation with supply chain modeling and optimization. The process model comprises biomass gasification, air separation unit, gas conditioning, carbon capture, ammonia and urea synthesis, and auxiliary utility systems. Six agro-industrial wastes were evaluated: sugarcane bagasse, sugarcane straw, soybean straw, corn stover, rice husk and coffee husk. The supply chain model comprises biomass availability and urea demand using a public dataset of planted area, harvested area and yearly production for all crops of commercial interest at all cities in Brazil. A Mixed-Integer Linear Programming model was developed to evaluate the optimal combination of facility location, biomass and technological routes that maximizes the Net Present Value of the plant. The process model results show that the proposed plant achieves an energy consumption of 21.49 GJ/t and 366.6 kg / with sugarcane bagasse as the most efficient biomass, against 18.40 GJ/t and 2640 kg / for the conventional process. The supply chain model results indicate that processing sugarcane straw with air gasification in the São Paulo region is the best combination of biomass, route and location, achieving an NPV of 355.17 MMUSD and a levelized cost of urea of 319 USD/. Urea demand and distribution costs are shown to be a critical factor in the feasibility of the plant, which corroborates the importance of a hybrid approach that takes into account both process and supply chain decisions in the deployment of biorefinery processes.
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