scholarly journals Evaluation of High-Temperature Hydrogen Sensors Based on BaCe0.6Zr0.3Y0.1O3-α and Sr(Ce0.9Zr0.1)0.95Yb0.05O3-α Perovskites for Industrial Applications

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7258
Author(s):  
Antonio Hinojo ◽  
Iván Soriano ◽  
Jordi Abellà ◽  
Sergi Colominas
Keyword(s):  
Solid State ◽  
Hydrogen Isotopes ◽  
Industrial Applications ◽  
Operating Conditions ◽  
Hydrogen Sensors ◽  
Monitoring Tools ◽  
On Line ◽  
Solid State Electrolytes ◽  
Analytical Tools ◽  
Hydrogen Monitoring

In many industrial fields, there is a need to design and characterize on-line and on-board hydrogen monitoring tools able to operate under extreme conditions. One of these applications is in future nuclear fusion reactors, which will use hydrogen isotopes as a plasma fuel. In this context, the measurement of the concentration of these hydrogen isotopes will be of interest to ensure the correct operating conditions for such reactors. Hydrogen sensors based on solid-state electrolytes will be the first step in the development of new analytical tools able to quantify deuterium and tritium in aggressive environments. In the present work, amperometric hydrogen sensors were constructed and evaluated using two solid-state electrolytes, BaCe0.6Zr0.3Y0.1O3-α and Sr(Ce0.9Zr0.1)0.95Yb0.05O3-α. Prototype sensors were built in order to study their sensitivity in on-line measurements. The experiments were performed in a reactor with a hydrogen-controlled environment. The sensors were evaluated at 500 and 600 °C in amperometric mode by applying 2 and 4 V voltages between electrodes. Both sensors showed increases in sensitivity when the temperature or voltage were increased.

Generic monitoring tools for water characteristics assessment

2003 ◽  
Vol 3 (1-2) ◽  
pp. 351-357
Author(s):  
S. Le Bonté ◽  
M.-N. Pons ◽  
O. Potier ◽  
S. Chanel ◽  
M. Baklouti
Keyword(s):  
Municipal Wastewater ◽  
Principal Component ◽  
Toxic Substances ◽  
Capacity Curves ◽  
Water Characteristics ◽  
Monitoring Tools ◽  
Visible Spectra ◽  
On Line ◽  
Mining Procedure

An adaptive principal component analysis applied to sets of data provided by global analytical methods (UV-visible spectra, buffer capacity curves, respirometric tests) is proposed as a generic procedure for on-line and fast characterization of wastewater. The data-mining procedure is able to deal with a large amount of information, takes into account the normal variations of wastewater composition related to human activity, and enables a rapid detection of abnormal situations such as the presence of toxic substances by comparison of the actual wastewater state with a continuously updated reference. The procedure has been validated on municipal wastewater.

Validation of On-line Respiration Meter and its Applications by Computer Simulation

1992 ◽  
Vol 26 (5-6) ◽  
pp. 1355-1363 ◽  
Author(s):  
C-W. Kim ◽  
H. Spanjers ◽  
A. Klapwijk
Keyword(s):  
Steady State ◽  
Activated Sludge ◽  
Respiration Rate ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Mass Balances ◽  
Short Term ◽  
Respiration Rates ◽  
On Line ◽  
Made In

An on-line respiration meter is presented to monitor three types of respiration rates of activated sludge and to calculate effluent and influent short term biochemical oxygen demand (BODst) in the continuous activated sludge process. This work is to verify if the calculated BODst is reliable and the assumptions made in the course of developing the proposed procedure were acceptable. A mathematical model and a dynamic simulation program are written for an activated sludge model plant along with the respiration meter based on mass balances of BODst and DO. The simulation results show that the three types of respiration rate reach steady state within 15 minutes under reasonable operating conditions. As long as the respiration rate reaches steady state the proposed procedure calculates the respiration rate that is equal to the simulated. Under constant and dynamic BODst loading, the proposed procedure is capable of calculating the effluent and influent BODst with reasonable accuracy.

Experimental and numerical analysis to identify the performance limiting mechanisms in solid-state lithium cells under pulse operating conditions

2019 ◽  
Vol 21 (41) ◽  
pp. 22740-22755 ◽  
Author(s):  
Mei-Chin Pang ◽  
Yucang Hao ◽  
Monica Marinescu ◽  
Huizhi Wang ◽  
Mu Chen ◽  
...  
Keyword(s):  
Solid State ◽  
Numerical Analysis ◽  
Energy Density ◽  
Lithium Ion Batteries ◽  
Lithium Batteries ◽  
Safety Concern ◽  
Lithium Ion ◽  
Thermal Runaway ◽  
Operating Conditions ◽  
Lithium Cells

Solid-state lithium batteries could reduce the safety concern due to thermal runaway while improving the gravimetric and volumetric energy density beyond the existing practical limits of lithium-ion batteries.

Uranyl Peroxide Nanocage Assemblies for Solid-State Electrolytes

2021 ◽  
Vol 4 (4) ◽  
pp. 3597-3603
Author(s):  
Jie Hu ◽  
Linkun Cai ◽  
Huihui Wang ◽  
Kun Chen ◽  
Panchao Yin
Keyword(s):  
Solid State ◽  
Solid State Electrolytes

A Decade of Progress on Solid‐State Electrolytes for Secondary Batteries: Advances and Contributions

2021 ◽  
pp. 2100891
Author(s):  
Ouwei Sheng ◽  
Chengbin Jin ◽  
Xufen Ding ◽  
Tiefeng Liu ◽  
Yuehua Wan ◽  
...  
Keyword(s):  
Solid State ◽  
Solid State Electrolytes

scholarly journals Applications of Supercritical Anti-Solvent Process in Preparation of Solid Multicomponent Systems

Pharmaceutics ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 475
Author(s):  
Guijin Liu ◽  
Junjian Li ◽  
Shiming Deng
Keyword(s):  
Solid State ◽  
Solid Dispersions ◽  
Crystal Form ◽  
Great Promise ◽  
Computational Techniques ◽  
Large Contribution ◽  
Continuous Manufacturing ◽  
Multicomponent Systems ◽  
On Line ◽  
Underlying Mechanisms

Solid multicomponent systems (SMS) are gaining an increasingly important role in the pharmaceutical industry, to improve the physicochemical properties of active pharmaceutical ingredients (APIs). In recent years, various processes have been employed for SMS manufacturing. Control of the particle solid-state properties, such as size, morphology, and crystal form is required to optimize the SMS formulation. By utilizing the unique and tunable properties of supercritical fluids, supercritical anti-solvent (SAS) process holds great promise for the manipulation of the solid-state properties of APIs. The SAS techniques have been developed from batch to continuous mode. Their applications in SMS preparation are summarized in this review. Many pharmaceutical co-crystals and solid dispersions have been successfully produced via the SAS process, where the solid-state properties of APIs can be well designed by controlling the operating parameters. The underlying mechanisms on the manipulation of solid-state properties are discussed, with the help of on-line monitoring and computational techniques. With continuous researching, SAS process will give a large contribution to the scalable and continuous manufacturing of desired SMS in the near future.

scholarly journals Optimal Tuner Selection for Kalman Filter-Based Aircraft Engine Performance Estimation

2009 ◽  
Vol 132 (3) ◽  
Author(s):  
Donald L. Simon ◽  
Sanjay Garg
Keyword(s):  
Kalman Filter ◽  
Estimation Error ◽  
Engine Performance ◽  
Aircraft Engine ◽  
Operating Conditions ◽  
Performance Estimation ◽  
Experimental Simulation ◽  
Tuning Parameter ◽  
Estimation Accuracy ◽  
On Line

A linear point design methodology for minimizing the error in on-line Kalman filter-based aircraft engine performance estimation applications is presented. This technique specifically addresses the underdetermined estimation problem, where there are more unknown parameters than available sensor measurements. A systematic approach is applied to produce a model tuning parameter vector of appropriate dimension to enable estimation by a Kalman filter, while minimizing the estimation error in the parameters of interest. Tuning parameter selection is performed using a multivariable iterative search routine that seeks to minimize the theoretical mean-squared estimation error. This paper derives theoretical Kalman filter estimation error bias and variance values at steady-state operating conditions, and presents the tuner selection routine applied to minimize these values. Results from the application of the technique to an aircraft engine simulation are presented and compared with the conventional approach of tuner selection. Experimental simulation results are found to be in agreement with theoretical predictions. The new methodology is shown to yield a significant improvement in on-line engine performance estimation accuracy.

scholarly journals Protein L—More Than Just an Affinity Ligand

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 874
Author(s):  
Stefan Kittler ◽  
Mihail Besleaga ◽  
Julian Ebner ◽  
Oliver Spadiut
Keyword(s):  
Antibody Fragments ◽  
Downstream Process ◽  
Affinity Ligands ◽  
The Past ◽  
Affinity Ligand ◽  
Recombinant Production ◽  
Production Processes ◽  
Monitoring Tools ◽  
Platform Technology ◽  
Analytical Tools

In the past 30 years, highly specific drugs, known as antibodies, have conquered the biopharmaceutical market. In addition to monoclonal antibodies (mAbs), antibody fragments are successfully applied. However, recombinant production faces challenges. Process analytical tools for monitoring and controlling production processes are scarce and time-intensive. In the downstream process (DSP), affinity ligands are established as the primary and most important step, while the application of other methods is challenging. The use of these affinity ligands as monitoring tools would enable a platform technology to monitor process steps in the USP and DSP. In this review, we highlight the current applications of affinity ligands (proteins A, G, and L) and discuss further applications as process analytical tools.

Rational strategies for proton-conductive metal–organic frameworks

2021 ◽  
Author(s):  
Dae-Woon Lim ◽  
Hiroshi Kitagawa
Keyword(s):  
Solid State ◽  
Potential Application ◽  
High Performance ◽  
Metal Organic Frameworks ◽  
Metal Organic ◽  
Solid State Electrolytes

Since the transition of energy platforms, the proton-conductive metal–organic frameworks (MOFs) exhibiting high performance have been extensively investigated with rational strategies for their potential application in solid-state electrolytes.

High rate and stable symmetric potassium ion batteries fabricated with flexible electrodes and solid-state electrolytes

Nanoscale ◽  
2018 ◽  
Vol 10 (44) ◽  
pp. 20754-20760 ◽  
Author(s):  
Ke Lu ◽  
Hong Zhang ◽  
Siyuan Gao ◽  
Yingwen Cheng ◽  
Houyi Ma
Keyword(s):  
Solid State ◽  
Prussian Blue ◽  
High Performance ◽  
Potassium Ion ◽  
High Rate ◽  
Flexible Electrodes ◽  
Bipolar Electrodes ◽  
Solid State Electrolytes ◽  
Aqueous Batteries

Prussian blue particles were deposited on polypyrrole coated wiper clothes and used as bipolar electrodes for fabrication of high performance flexible solid state K-ion aqueous batteries.

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