Engineering topics
Pivovar, Bryan
Publications and source records attributed to Pivovar, Bryan.
Updated Manufactured Cost Analysis for Proton Exchange Membrane Water Electrolyzers
Enabling rapid and extensive decarbonization within the electric power and industrial sectors is likely to require high levels of renewable energy deployment, supported by technologies that store and transform renewable electricity into other useful forms. Within hard to decarbonize sectors such as organic chemicals and heavy-duty transportation, the use of low-carbon intensity hydrogen as a fuel and chemical building block is emerging as a near-term alternative to reduce their fossil-fuel dependency. Water splitting electrolysis to produce hydrogen requires only water and electricity as inputs, eliminating the use of natural gas in steam methane reforming, which is the conventional hydrogen production pathway. When powered by low-carbon electricity, electrolysis represents an important pathway towards cross-sectoral decarbonization.
Targeted synthesis, characterization, and electrochemical analysis of transition-metal-oxide catalysts for the oxygen evolution reaction
Hydrogen fuel can be produced through the electrochemical splitting of water, an energy-intensive process that requires the use of electrocatalysts to be more efficient. Whereas current precious-metal-based electrocatalysts might be costly on a larger scale, transition-metal-oxide catalysts are more earth abundant and have shown promising activity. Here, the development and improvement of highly active transition-metal-oxide electrocatalysts is thus an important area of study where different catalyst enhancement strategies are used to drive the field forward. Additionally, transition-metal-oxide catalysts come in various different structures with their own advantages; thus, this review is focused on investigating the continuing field of transition-metal-oxide electrocatalysts of different structures and innovative methods of improving activity. By the end, new and promising paths forward in this field will be highlighted, particularly in the development of rock-salt oxides for the water-splitting system.
Revealing the Internal Architecture of Alkaline Fuel Cell Membranes with Cryo-4D-STEM and Cryo-STEM-EELS
Characterization of the internal architecture of polymer materials plays an important role in the development of energy devices such as fuel cells. The beam sensitivity of polymer materials coupled with their inherent low contrast makes imaging using conventional TEM and STEM techniques a challenge. Here, we demonstrate robust mapping of the internal architecture of fuel cell polymer membranes using cryo-4D-STEM and cryo-STEM-EELS. Here, we will focus on characterization of alkaline anion exchange membranes (AAEMs) used in AAEM fuel cells, a cheaper alternative to current fuel cell technologies as they allow for platinum group metal-free catalysts. In fuel cell polymer membranes, the internal architecture is critical in performance metrics such as conductivity, mechanical durability, and chemical stability.
Improved Ionomers and Membranes for Fuel Cells
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High-Efficiency Reversible Alkaline Membrane Fuel Cells
The proposed project will explore oxidation-resistant alkaline membrane/ionomers and corrosion-resistant bifunctional catalysts to enable reversible alkaline membrane fuel cells (AMFCs). The project will for the first time demonstrate a reversible AMFC with greater than 50% RTE at 1000 mA/cm 2 without introducing any salts or bases in the aqueous feed.
Analytical-based simulation approach for an anion exchange membrane fuel cell
An analytical and empirical-based 1-D, non-isothermal, steady-state model for anion exchange membrane fuel cell capable of capturing two-phase phenomena is presented in this study. Coupled multi-physics including mass and charge transport, electrochemical reactions, heat transfer, and two-phase water transport are considered in the model and the simulated results are compared to experimental data. To better represent actual material properties and localized conditions, the model applies multilayer discretization in the gas diffusion electrode to enhance prediction accuracy. The model successfully predicts the baseline performance at 70 °C, 131 kPa abs., 92% RH with pure H 2 /O 2 gas as well as the limiting current at 10% H 2 . The robust simulation approach allows for simplistic and accurate estimation of cell performance without the complications of applying two-phase parameters and expensive computational need for numerical models. In addition, the results from the sensitivity studies of material properties and operating conditions provide valuable insights on water management strategies and optimal component design for advancing anion exchange membrane fuel cell technology.