• Open Access

Predicting Thermochemical Equilibria with Interacting Defects: Sr1xCexMnO3δ Alloys for Water Splitting

Anuj Goyal, Michael D. Sanders, Ryan P. O’Hayre, and Stephan Lany
PRX Energy 3, 013008 – Published 16 February 2024

Abstract

Solar thermochemical hydrogen is one of the few potential routes towards direct fuel production from renewable energy sources, but the thermodynamic boundary conditions for efficient and economic energy conversion are challenging. Success or failure of a given oxide working material depends on the subtle balance between enthalpy and entropy contributions in the redox processes. Developing a mechanistic understanding of the behavior of materials on the basis of atomistic models and first-principles calculations is an important part of advancing the technology. One challenge is to quantitatively predict thermochemical equilibria at high concentrations when the redox-active defects start to interact with each other, thereby impeding the formation of additional defects. This problem is of more general importance to applications that rely on high levels of off-stoichiometry or doping, including, for example, batteries, thermoelectrics, and ceramic fuel cells. To account for such repulsive defect interactions, we introduce a statistical mechanics approach, defining an expression for the free energy of defect interaction based on limited sampling of defect configurations in density functional theory supercell calculations. The parameterization of this energy contribution as a function of defect concentration and temperature allows on-the-fly simulation of thermochemical equilibria. The approach consistently incorporates finite temperature effects by including the leading contributions to the temperature-dependent free energy for the case at hand, i.e., the ideal gas and configurational enthalpies and entropies. We demonstrate the capability and utility of the approach by simulating the water splitting redox processes for Sr1xCexMnO3δ alloys.

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  • Received 1 September 2023
  • Revised 2 December 2023
  • Accepted 19 December 2023

DOI:https://doi.org/10.1103/PRXEnergy.3.013008

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Open access publication funded by the National Renewable Energy Laboratory (NREL) Library, part of a national laboratory of the U.S. Department of Energy.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsEnergy Science & TechnologyStatistical Physics & Thermodynamics

Authors & Affiliations

Anuj Goyal1,2, Michael D. Sanders3, Ryan P. O’Hayre3, and Stephan Lany1,*

  • 1National Renewable Energy Laboratory, Golden, Colorado 80401, USA
  • 2Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502284, India
  • 3Colorado School of Mines, Golden, Colorado 80401, USA

  • *stephan.lany@nrel.gov

Popular Summary

Renewable energy growth comes mostly from electricity sources like solar photovoltaics and wind energy. However, most of the global final energy consumption occurs in the form of fuels. Thus, the direct conversion of sunlight energy into fuels could be a game changer in the energy transition. Solar thermochemical fuels hydrogen production and carbon dioxide reduction are among the few known potential routes towards direct renewable fuels that have the potential for deployment on an industrial scale. However, they currently lack suitable oxide working materials that optimally satisfy the challenging thermodynamic boundary conditions. Computational modeling can help advance the field through both the identification of new candidate materials and the theoretical assessment of their performance. The present work advances computational approaches for modeling the thermochemical equilibria for hydrogen production from first principles. Such modeling can provide a mechanistic understanding of materials behavior from the atomistic origins and help to assess the potential and limitations of materials. The methods introduced here are validated and demonstrated by application to strontium cerium manganate alloys.

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Vol. 3, Iss. 1 — February - April 2024

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