Measurement of solids circulation rates with optical techniques in circulating beds and comparison to pressure drop methods

The number of applications employing circulating fluidized beds has increased considerably over the last years following the important development of chemical looping technologies for power generation (combustion) or fuel conversion (reforming) with inherent CO2 capture. The performance of these reactors is strongly determined by the amount of solids transferred from one reactor to the other, commonly referred to as the Solids Circulation Rate (SCR). The solids inventory, particle characteristics and gas velocities strongly influence the SCR. The determination of the SCR has been carried out using invasive and non-invasive measurement techniques. The direct measurement through solids collection in the loop seal is the most applied technique, but this technique requires opening of the loop seals and thus may be expensive, whereas other methods suffer from large inaccuracies. There is yet no optimal technique available that combines good accuracy with reasonable costs, as recently also discussed by Alghamdi et al. (1). In this work, a pseudo 2D internally circulating fluidized bed (Figure 1) has been built to explore the potential of optical techniques like Particle Image Velocimetry (PIV) combined with Digital Image Analysis (DIA) for non-invasive, whole-field measurements. Moreover, the setup allows for the measurement of the pressure drop (fluctuations) along the riser and the collection of particles circulating from one reactor to the other, so that the three different measurement techniques can be compared. Please click Additional Files below to see the full abstract

Estudio del efecto de CO2 y temperatura en la eficiencia de un compresor electroquímico de hidrógeno

El hidrógeno es el vector energético del futuro y actualmente se obtiene por reformado catalítico de gas natural para su producción a larga escala. Posteriormente, los contaminantes son eliminados de la mezcla, al mismo tiempo que el hidrógeno es presurizado. Antiguamente, estos procesos tenían lugar por separado, pero el compresor electroquímico de hidrógeno está apareciendo como una técnica prometedora para combinar ambos. En este trabajo, se estudia el dióxido de carbono como principal contaminante. Después de analizar condiciones de trabajo con hidrógeno puro, se analiza el efecto de una mezcla H2-CO2. Inicialmente, se consideran diferentes formas de inhibir el catalizador siendo Water Gas Shift la más importante. Se consideran también métodos de recuperación de la actividad del catalizador, de los que se concluye que introducir aire es el más conveniente por su eficacia y rapidez. Para acabar esta parte, se imponen diferentes condiciones de trabajo al compresor. De estos experimentos se puede concluir que el catalizador se inhibe más rápidamente a bajas concentraciones de hidrógeno y bajos voltajes. También se analiza brevemente el efecto de la temperatura. Para todas las mezclas de gases consideradas, un aumento de temperatura mejora la eficiencia del compresor. El caso del CO2 se estudia por separado, debido a su efecto contaminante. Se comprueba que temperaturas más altas dan lugar a una inhibición más rápida. Después, se analizan mecanismos de permeación de diferentes gases a través de la membrana. Por ejemplo, el helio atraviesa la membrana por su permeabilidad en la membrana, mientras que el CO2 lo hace debido a su solubilidad en agua. Finalmente, se hacen una serie de cambios a un anterior modelo anterior de Matlab® para explicar el funcionamiento del compresor en diferentes condiciones de temperatura. Para ello, se implementa el cálculo del coeficiente de transferencia de materia dependiendo de la temperatura. Con el ajuste de algunas variables, se consigue una buena validación teórica de los resultados experimentales obtenidos

Comparison between carbon molecular sieve and Pd-Ag membranes in H2-CH4 separation at high pressure

From a permeability and selectivity perspective, supported thin-film Pd–Ag membranes are the best candidates for high-purity hydrogen recovery for methane-hydrogen mixtures from the natural gas grid. However, the high hydrogen flux also results in induced bulk-to-membrane mass transfer limitations (concentration polarization) especially when working at low hydrogen concentration and high pressure, which further reduces the hydrogen permeance in the presence of mixtures. Additionally, Pd is a precious metal and its price is lately increasing dramatically. The use of inexpensive CMSM could become a promising alternative. In this manuscript, a detailed comparison between these two membrane technologies, operating under the same working pressure and mixtures, is presented. First, the permeation properties of CMSM and Pd–Ag membranes are compared in terms of permeance and purity, and subsequently, making use of this experimental investigation, an economic evaluation including capital and variable costs has been performed for a separation system to recover 25 kg/day of hydrogen from a methane-hydrogen mixture. To widen the perspective, also a sensitivity analysis by changing the pressure difference, membrane lifetime, membrane support cost and cost of Pd/Ag membrane recovery has been considered. The results show that at high pressure the use of CMSM is to more economic than the Pd-based membranes at the same recovery and similar purity.This project has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking under grant agree-ment No 700355. This Joint Undertaking receives support fromthe European Union’s Horizon 2020 research and innovation

Techno-economic evaluation on a hybrid technology for low hydrogen concentration separation and purification from natural gas grid

Hydrogen can be stored and distributed by injecting into existing natural grids, then, at the user site separated and used in different applications. The conventional technology for hydrogen separation is pressure swing adsorption (PSA). The recent NREL study showed the extraction cost for separating hydrogen from a 10% H2 stream with a recovery of 80% is around 3.3–8.3 US$/kg. In this document, new system configurations for low hydrogen concentration separation from the natural gas grid by combining novel membrane-based hybrid technologies will be described in detail. The focus of the manuscript will be on the description of different configurations for the direct hydrogen separation, which comprises a membrane module, a vacuum pump and an electrochemical hydrogen compressor. These technological combinations bring substantial synergy effect of one-another while improving the total hydrogen recovery, purity and total cost of hydrogen. Simulation has been carried out for 17 different configurations; according to the results, a configuration of two-stage membrane modules (in series) with a vacuum pump and an electrochemical hydrogen compressor (EHC) shows highest hydrogen purity (99.9997%) for 25 kg/day of hydrogen production for low-pressure grid. However, this configuration shows a higher electric consumption (configuration B) due to the additional mechanical compressor between the two-stage membrane modules and the EHC. Whereas, when the compressor is excluded, and a double skin Pd membrane (PdDS) module is used in a single-stage while connected to a vacuum pump (configuration A5), the hydrogen purity (99.92%) slightly decreases yet the power consumption considerably improves (1.53 times lower). Besides to these two complementary configurations, the combination of a single membrane module, a vacuum pump and the electrochemical compressor has been also carried out (configuration A) and results show that relatively higher purity can be achieved. Based on four master configurations, this document presents a different novel hybrid system by integrating two to three technologies for hydrogen purification combined in a way that enhances the strengths of each of them.This project has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking under grant agreement No 700355. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation

Water Adsorption Effect on Carbon Molecular Sieve Membranes in H2-CH4 Mixture at High Pressure

Carbon molecular sieve membranes (CMSMs) are emerging as promising solution to overcome the drawbacks of Pd-based membranes for H2 separation since (i) they are relatively easy to manufacture; (ii) they have low production and raw material costs; (iii) and they can work at conditions where polymeric and palladium membranes are not stable. In this work CMSMs have been investigated in pure gas and gas mixture tests for a proper understanding of the permeation mechanism, selectivity and purity towards hydrogen. No mass transfer limitations have been observed with these membranes, which represents an important advantage compared to Pd-Ag membranes, which suffer from concentration polarization especially at high pressure and low hydrogen concentrations. H2, CH4, CO2 and N2 permeation at high pressures and different temperatures in presence of dry and humidified stream (from ambient and water vapour) have been carried out to investigate the effect of the presence of water in the feed stream. Diffusion is the main mechanism observed for hydrogen, while methane, nitrogen and especially carbon dioxide permeate through adsorption-diffusion at low temperatures and high pressures. Finally, H2 permeation from H2-CH4 mixtures in presence of water has been compared at different temperatures and pressure, which demonstrates that water adsorption is an essential parameter to improve the performance of carbon molecular sieve membranes, especially when working at high temperature. Indeed, a hydrogen purity of 98.95% from 10% H2—90% CH4 was achieved. The main aim of this work is to understand the permeation mechanisms of CMSMs in different operating conditions and find the best conditions to optimize the separation of hydrogen.This project has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking under grant Agreement no. 700355. This Joint Undertaking receves support from the European Union´s Horizon 2020 research

From Monoamine Oxidase Inhibition to Antiproliferative Activity: New Biological Perspectives for Polyamine Analogs

: Monoamine oxidases (MAOs) are well-known pharmacological targets in neurological and neurodegenerative diseases. However, recent studies have revealed a new role for MAOs in certain types of cancer such as glioblastoma and prostate cancer, in which they have been found overexpressed. This finding is opening new frontiers for MAO inhibitors as potential antiproliferative agents. In light of our previous studies demonstrating how a polyamine scaffold can act as MAO inhibitor, our aim was to search for novel analogs with greater inhibitory potency for human MAOs and possibly with antiproliferative activity. A small in-house library of polyamine analogs (2-7) was selected to investigate the effect of constrained linkers between the inner amine functions of a polyamine backbone on the inhibitory potency. Compounds 4 and 5, characterized by a dianiline (4) or dianilide (5) moiety, emerged as the most potent, reversible, and mainly competitive MAO inhibitors (Ki < 1 μM). Additionally, they exhibited a high antiproliferative activity in the LN-229 human glioblastoma cell line (GI50 < 1 μM). The scaffold of compound 5 could represent a potential starting point for future development of anticancer agents endowed with MAO inhibitory activity

Functional and Structural Brain Damage in Friedreich's Ataxia

Friedreich's ataxia (FRDA) is a rare hereditary neurodegenerative disorder caused by a GAA repeat expansion in the FXN gene. There is still no cure or quantitative biomarkers reliaby correlating with the progression rate and disease severity. Investigation of functional and structural alterations characterizing white (WM) and gray matter (GM) in FRDA are needed prerequisite to monitor progression and response to treatment. Here we report the results of a multimodal cross-sectional MRI study of FRDA including Voxel-Based Morphometry (VBM), diffusion-tensor imaging (DTI), functional MRI (fMRI), and a correlation analysis with clinical severity scores. Twenty-one early-onset FRDA patients and 18 age-matched healthy controls (HCs) were imaged at 3T. All patients underwent a complete cognitive and clinical assessment with ataxia scales. VBM analysis showed GM volume reduction in FRDA compared to HCs bilaterally in lobules V, VI, VIII (L&gt;R), as well as in the crus of cerebellum, posterior lobe of the vermis, in the flocculi and in the left tonsil. Voxel-wise DTI analysis showed a diffuse fractional anisotropy reduction and mean, radial, axial (AD) diffusivity increase in both infratentorial and supratentorial WM. ROI-based analysis confirmed the results showing differences of the same DTI metrics in cortico-spinal-tracts, forceps major, corpus callosum, posterior thalamic radiations, cerebellar penduncles. Additionally, we observed increased AD in superior (SCP) and middle cerebellar peduncles. The WM findings correlated with age at onset (AAO), short-allelle GAA, and disease severity. The intragroup analysis of fMRI data from right-handed 14 FRDA and 15 HCs showed similar findings in both groups, including activation in M1, insula and superior cerebellar hemisphere (lobules V–VIII). Significant differences emerged only during the non-dominant hand movement, with HCs showing a stronger activation in the left superior cerebellar hemisphere compared to FRDA. Significant correlations were found between AAO and the fMRI activation in cerebellar anterior and posterior lobes, insula and temporal lobe. Our multimodal neuroimaging protocol suggests that MRI is a useful tool to document the extension of the neurological impairment in FRDA

Temporal trends in the quality of deceased donor kidneys and kidney transplant outcomes in Europe:an analysis by the ERA-EDTA Registry

BACKGROUND: We investigated 10-year trends in deceased donor kidney quality expressed as the kidney donor risk index (KDRI) and subsequent effects on survival outcomes in a European transplant population. METHODS: Time trends in the crude and standardized KDRI between 2005 and 2015 by recipient age, sex, diabetic status and country were examined in 24 177 adult kidney transplant recipients in seven European countries. We determined 5-year patient and graft survival probabilities and the risk of death and graft loss by transplant cohort (Cohort 1: 2005–06, Cohort 2: 2007–08, Cohort 3: 2009–10) and KDRI quintile. RESULTS: The median crude KDRI increased by 1.3% annually, from 1.31 [interquartile range (IQR) 1.08–1.63] in 2005 to 1.47 (IQR 1.16–1.90) in 2015. This increase, i.e. lower kidney quality, was driven predominantly by increases in donor age, hypertension and donation after circulatory death. With time, the gap between the median standardized KDRI in the youngest (18–44 years) and oldest (>65 years) recipients widened. There was no difference in the median standardized KDRI by recipient sex. The median standardized KDRI was highest in Austria, the Netherlands and the Basque Country (Spain). Within each transplant cohort, the 5-year patient and graft survival probability were higher for the lowest KDRIs. There was no difference in the patient and graft survival outcomes across transplant cohorts, however, over time the survival probabilities for the highest KDRIs improved. CONCLUSIONS: The overall quality of deceased donor kidneys transplanted between 2005 and 2015 has decreased and varies between age groups and countries. Overall patient and graft outcomes remain unchanged

An automatic analysis framework for FDOPA PET neuroimaging

In this study we evaluate the performance of a fully automated analytical framework for FDOPA PET neuroimaging data, and its sensitivity to demographic and experimental variables and processing parameters. An instance of XNAT imaging platform was used to store the King's College London institutional brain FDOPA PET imaging archive, alongside individual demographics and clinical information. By re-engineering the historical Matlab-based scripts for FDOPA PET analysis, a fully automated analysis pipeline for imaging processing and data quantification was implemented in Python and integrated in XNAT. The final data repository includes 892 FDOPA PET scans organized from 23 different studies. We found good reproducibility of the data analysis by the automated pipeline (in the striatum for the Kicer: for the controls ICC = 0.71, for the psychotic patients ICC = 0.88). From the demographic and experimental variables assessed, gender was found to most influence striatal dopamine synthesis capacity (F = 10.7, p < 0.001), with women showing greater dopamine synthesis capacity than men. Our automated analysis pipeline represents a valid resourse for standardised and robust quantification of dopamine synthesis capacity using FDOPA PET data. Combining information from different neuroimaging studies has allowed us to test it comprehensively and to validate its replicability and reproducibility performances on a large sample size