4.6 Article

Optimal Design of Sustainable Ammonia-Based Food-Energy Water Systems with Nitrogen Management

Journal

ACS SUSTAINABLE CHEMISTRY & ENGINEERING
Volume 9, Issue 7, Pages 2816-2834

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssuschemeng.0c08643

Keywords

sustainable ammonia; nitrogen management; food-energy-water; integrated design and scheduling; mixed-integer optimization

Funding

  1. Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy [DE-AR0000804]
  2. Digital Technology Center of the University of Minnesota through a Digital Technology Initiative Seed Grant

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Ammonia plays a crucial role in agriculture and as a carbon-free energy carrier, but it is associated with environmental concerns. Developing a sustainable agricultural system that integrates renewable ammonia production and effective nitrogen management can reduce nitrogen loss and optimize costs.
As the basis for virtually any form of nitrogen fertilizers, ammonia plays a vital role in agriculture; in addition, there has been an increased interest in its use as a carbon-free energy carrier. However, ammonia is also associated with two major environmental concerns: CO2 emissions from the conventional production process and nitrogen pollution from the excessive use of ammoniabased fertilizers. To mitigate these environmental impacts, we develop an optimization framework for the design of a sustainable ammonia-based agricultural system that synergistically integrates the production of ammonia from renewable resources and effective measures for nitrogen management. The proposed model captures the effect of intermittency by incorporating both design and detailed operational decisions. By applying a multiscale time representation that reduces the problem size and a tailored surrogate model that accurately approximates model nonlinearity, we are able to achieve optimal solutions within reasonable computation times. A computational case study is conducted using real-world data from a local farm in Morris, Minnesota, and the results indicate the trade-off between cost and nitrogen loss. Importantly, we show that practicing effective nitrogen management can significantly reduce the nitrogen loss with only a small increase in net present cost.

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