Computational Search for Improved Ammonia Storage Materials

Peter Bjerre Jensen, Steen Lysgaard, Tejs Vegge, Ulrich Quaade

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Abstract

Metal halide ammines, e.g. Mg(NH3)6Cl2 and Sr(NH3)8Cl2, can reversibly store ammonia, with high volumetric hydrogen storage capacities. The storage in the halide ammines is very safe, and the salts are therefore highly relevant as a carbon-free energy carrier in future transportation infrastructure. In this project we are searching for improved mixed materials with optimal desorption temperatures and kinetics, optimally releasing all ammonia in one step. We apply Density Functional Theory, DFT, calculations on mixed compounds selected by a Genetic Algorithm (GA), relying on biological principles of natural selection. The GA is evolving from an initial (random) population and selecting those with highest fitness, a function based on e.g. stability, release temperature, storage capacity and the price of the elements. The search space includes all alkaline earth, 3d and 4d metals in combination with chloride, bromide or iodide, and mixtures thereof. In total the search space consists of thousands of combinations, which makes a GA ideal, to reduce the number of necessary calculations. We are screening for a one step release from either a hexa or octa ammine, and we have found promising candidates, which will be further investigated – both computationally and experimentally.
Original languageEnglish
Publication date2014
Publication statusPublished - 2014
EventCIMTEC 2014: 6th Forum on New Materials - Montecatini Terme, Italy
Duration: 15 Jun 201419 Jun 2014
Conference number: 6

Conference

ConferenceCIMTEC 2014
Number6
CountryItaly
CityMontecatini Terme
Period15/06/201419/06/2014

Activities

  • 1 Conference presentations

Computational Search for Improved Ammonia Storage Materials

Peter Bjerre Jensen (Lecturer)

19 Jun 2014

Activity: Talks and presentationsConference presentations

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Cite this

Jensen, P. B., Lysgaard, S., Vegge, T., & Quaade, U. (2014). Computational Search for Improved Ammonia Storage Materials. Abstract from CIMTEC 2014, Montecatini Terme, Italy.