A framework for ammonia supply chain optimization incorporating conventional and renewable generation

Andrew Allman, Prodromos Daoutidis, Douglas G Tiffany, Stephen Kelley

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


Ammonia is an essential nutrient for global food production brought to farmers by a well-established supply chain. This article introduces a supply chain optimization framework which incorporates new renewable ammonia plants into the conventional ammonia supply chain. Both economic and environmental objectives are considered. The framework is then applied to two separate case studies analyzing the supply chains of Minnesota and Iowa, respectively. The base case results present an expected trade-off between cost, which favors purchasing ammonia from conventional plants, and emissions, which favor building distributed renewable ammonia plants. Further analysis of this trade-off shows that a carbon tax above $25/t will reduce emissions in the optimal supply chain through building large renewable plants. The importance of scale is emphasized through a Monte Carlo sensitivity analysis, as the largest scale renewable plants are selected most often in the optimal supply chain.

Original languageEnglish (US)
Pages (from-to)4390-4402
Number of pages13
JournalAIChE Journal
Issue number10
StatePublished - Oct 2017

Bibliographical note

Funding Information:
Financial support from the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources, and MnDRIVE, an initiative of the University of Minnesota, is gratefully acknowledged.

Publisher Copyright:
© 2017 American Institute of Chemical Engineers


  • distributed ammonia production
  • green fertilizer
  • supply chain optimization
  • wind power


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