Commercial fleet electrification offers various cost optimization options, from smart charging to vehicle-to-grid (V2G) services. The optimal configuration is a function of a particular fleet’s attributes and travel obligations. Comprehensive cost-benefit analyses are crucial, considering all costs and uncertainties in the changing electricity market. However, prior fleet electrification studies do not sufficiently capture market-based cause-and-effect… Read more
The early evolution of the South Atlantic Ocean following the Cretaceous break-up of Gondwana is extensively recorded in rift basins along the conjugate margins of Africa and Brazil. For the Brazil side, divergent views of the source and pathway of the initial seawater incursion persist due to a paucity of recognized transitional sequences that document… Read more
The high salinity and organic content in oil and gas wastewaters can cause ion suppression during liquid chromatography mass spectrometry (LC/MS) analysis, diminishing the sensitivity and accuracy of measurements in available methods. This suppression is severe for low molecular weight organic compounds such as ethanolamines (e.g., monoethanolamine (MEA), diethanolamine (DEA), triethanolamine (TEA), N-methyldiethanolamine (MDEA), and… Read more
In this work, we cross-compare the state-of-the-art edge plasma codes SOLPS-ITER, SOLEDGE2D, and UEDGE in a reactor-relevant neon-seeded Divertor Tokamak Test scenario at nominal power, extending the simplified test-bed of Moscheni et al (2022 Nucl. Fusion 62 056009). Converged solutions targeting the same separatrix density and radiated power are obtained by adjusting the pumping albedo… Read more
This study presents a novel approach to the selective separation of aluminum from waste cryolite electrolyte with two nanofiltration membranes: a conventional polyamide membrane and a membrane coated with a polyelectrolyte layer. Utilizing transmission electron microscopy and Fourier transform infrared spectroscopy, we find that the polyelectrolyte coating significantly increases the density of positively charged ammonium… Read more
In the transition to safer, more energy-dense solid state batteries, polymer-ceramic composite electrolytes may offer a potential route to achieve simultaneously high Li-ion conductivity and enhanced mechanical stability. Despite numerous studies on the polymer-ceramic composite electrolytes, disagreements persist on whether the polymer or the ceramic is positively impacted in their constituent ionic conductivity for such… Read more
Sodium-metal batteries could be competitive against Li-metal batteries, but their applications depend on the stability of electrolytes against sodium-metal anodes and cathodes simultaneously. Here, we propose hybrid solvating electrolytes (HSEs), composed of both strongly and weakly solvating solvents of sodium salts, to tune the solubility, solvation structure, and electrochemical decomposition properties. Fifty HSEs are prepared… Read more
This paper addresses the participation of independent aggregators (IAs) for demand response (DR) in European electricity markets. An IA is an aggregator trading the flexibility of consumers of which it is not the electricity supplier. Particularly, we focus on the controversial issue of a compensation payment from the IA to the supplier for energy sourcing.… Read more
Archerfish is a low-cost, high-throughput tool for combinatorial materials research. Retrofitted with in situ mixing, Archerfish prints 250 unique compositions per min—a 100× acceleration factor—for aqueous, nanoparticle, and crystalline materials. The maturation of 3D printing technology has enabled low-cost, rapid prototyping capabilities for mainstreaming accelerated product design. The materials research community has recognized this need,… Read more
H 2 S/CH 4 and CO 2 /CH 4 separations show opposing trends, making simultaneous improvement challenging. This is addressed by increasing free volume to enhance competitive sorption effects and boosting diffusion selectivity through in situ crosslinking. To address global energy needs, traditional and renewable natural gas will likely be key energy sources for years… Read more
To facilitate effective decarbonization of the electric energy sector, this paper introduces a generic Carbon-aware Optimal Power Flow (C-OPF) methodology for power system decision-making that considers the active management of the grid’s carbon footprints. Built upon conventional Optimal Power Flow (OPF) models, the proposed C-OPF model further integrates carbon emission flow equations and constraints, as… Read more
In recent years, marine carbon removal technologies have gained attention as a means of reducing greenhouse gas concentrations. One family of these technologies is electrochemical systems, which employ Faradaic reactions to drive alkalinity-swings and enable dissolved inorganic carbon (DIC) removal as gaseous CO2 or as solid minerals. In this work, we develop a thermodynamic framework… Read more
Oil and gas (O&G) well integrity issues, including sustained casing pressure and casing vent flow, could cause significant environmental and climatic risks by releasing methane-containing fluids into the environment. The large number of O&G wells makes routine inspection or spatiotemporally adequate screening of well integrity issues expensive and sometimes intractable. Machine learning (ML) algorithms with… Read more
Dust accumulation on solar panels is a mjor operational challenge faced by the photovoltaic industry. Removing dust using water-based cleaning is expensive and unsustainable. Dust repulsion via charge induction is an efficient way to clean solar panels and recover power output without consuming any water. However, it is still challenging to remove particles of ≈30 µm… Read more
Sustainable liquid fuels are essential for decarbonization of various means of transportation which are challenging to address through electrification or hydrogen use. A possible method for producing low-carbon liquid fuel is through the thermochemical biomass to liquid (BTL) process. In this study, we conduct a technoeconomic-environmental analysis of two processes which take advantage of integration… Read more
Abstract We present a techno‐economic optimization model for the design and dynamic operation of proton exchange membrane (PEM) electrolyzers, for enabling cost‐effective hydrogen production. This model integrates a 0‐D model of the electrolyzer stack, process‐wide mass and energy balances, operational constraints, and an empirical relation to characterize degradation as a function of operating current density.… Read more
Extracting hydrogen from metallic components can open up a new pathway for preventing hydrogen embrittlement. To this end, we propose an electrochemically driven, all-solid method for hydrogen control, capable of both extracting and storing hydrogen simultaneously. In this approach, we employ acid-in-clay as a proton conducting electrolyte at room temperature. Through this electrochemical treatment, hydrogen… Read more
Electrochemical CO2 reduction has emerged as a promising CO2 utilization technology, with Gas Diffusion Electrodes becoming the predominant architecture to maximize performance. Such electrodes must maintain robust hydrophobicity to prevent flooding, while also ensuring high conductivity to minimize ohmic losses. Intrinsic material tradeoffs have led to two main architectures: carbon paper is highly conductive but… Read more
The growing demands for high-temperature materials, especially in aerospace and energy production, compel thorough explorations of innovative materials. Here, we demonstrate significantly enhanced high-temperature mechanical properties of Inconel 625 (In625) based metal matrix composites (MMCs) fabricated by laser powder bed fusion (LPBF) additive manufacturing. The MMC feedstocks for LPBF were fabricated with fine ceramic particles… Read more
Real-world datasets are rarely populated by evenly distributed entries; unevenness may be caused by sensor malfunctions or randomized sampling due to the process nature. Modeling the constitutive relationship (CR) of materials in scenarios where the temporal data available are uneven is a serious challenge for black box approaches such as artificial neural networks. This work… Read more