1,771 research outputs found
Dielectric Relaxations and Conductivity of Crosslinked PVA/SSA/GO Composite Membranes for Fuel Cells
[EN] Composite membranes obtained from Poly(vinyl Alcohol) (PVA) with sulfosuccinic acid (SSA) as crosslinking agent, and two different proportions of graphene oxide (GO), were prepared to be used in Proton Exchange Membrane Fuel Cells (PEMFCs). The superficial micrographs from transmission electron microscopy (TEM) confirmed a good dispersion of GO. Fourier Transform Infrared spectroscopy (FTIR) was used to evaluate the final chemical structure. Differential Scanning Calorimetry (DSC) showed that glass transition and crystalline phase were not present in the cross-linked PVA/SSA/GO composites membranes. Thermogravimetric analysis (TGA) demonstrated that the addition of GO reduced the moisture content and increased the thermal stability of the membranes. The electrical properties of PVA/SSA and PVA/SSA/GO composite membranes and the effect of GO concentration were evaluated by means of dielectric spectra in a broad range of temperatures and frequencies. The dielectric permittivity of these membranes was significantly promoted at low filler concentration due to an interfacial polarization effect. From the analysis of the dielectric relaxation spectrum, it can be deduced that the origin of the associated molecular movements is intramolecular and occurs in the working range of the PMEFC. In addition, the direct current conductivity, the protonic conductivity, and the polarization currents were correlated to the power produced in a hydrogen monocell. It was observed that low and no high GO concentrations of filler in PVA/SSA composite membranes enhanced their performance. The systematic characterization procedure based on the study of dielectric spectra and conductivity allowed to establish a potential approach to control the addition of GO in the design of other composite membranes for PEMFC with improved properties.The authors would like to thank Dr. Roberto Teruel Juanes and Dr. Victor Saenz de Juano for their advice in the treatment of results. The authors are also thankful to Generalitat Valenciana and the European Social Fund for the Santiago Grisolia scholarship, GRISOLIA/2013/031, and the Spanish Ministry of Science and Innovation for the concession of Research Project ENE2014-53734-C2-1-R.González-Guisasola, C.; Ribes-Greus, A. (2018). Dielectric Relaxations and Conductivity of Crosslinked PVA/SSA/GO Composite Membranes for Fuel Cells. Polymer Testing. 67:55-67. https://doi.org/10.1016/j.polymertesting.2018.01.024S55676
A new subspecies of Orthotylus junipericola Linnavuori, 1965 (Insecta, Heteroptera) from the Azores.
Orthotylus (Parapachylops) junipericola attilioi n.ssp. is described from Terceira (Azores), based on a single male specimen collected in the Azorean endemic tree Juniperus brevifolia. O. (Parapachylops) junipericola Linnavuori, 1965 is a “Rassenkreis” with seven known geographic races with an Atlanto-mediterranean distribution. O. (Parapachylops)
junipericola attilioi n.ssp. is the eighth subspecies described from this species, being the most occidental taxon. The new subspecies, O. (Parapachylops) junipericola attilioi n.ssp., was sampled in a biodiversity hotspot from the Azores, Biscoito da Ferraria Natural Forest
Reserve of “climax pattern of indigenous forest”
Assessment of the Accuracy of a Multi-Beam LED Scanner Sensor for Measuring Olive Canopies
MDPI. CC BYCanopy characterization has become important when trying to optimize any kind of agricultural operation in high-growing crops, such as olive. Many sensors and techniques have reported satisfactory results in these approaches and in this work a 2D laser scanner was explored for measuring canopy trees in real-time conditions. The sensor was tested in both laboratory and field conditions to check its accuracy, its cone width, and its ability to characterize olive canopies in situ. The sensor was mounted on a mast and tested in laboratory conditions to check: (i) its accuracy at different measurement distances; (ii) its measurement cone width with different reflectivity targets; and (iii) the influence of the target’s density on its accuracy. The field tests involved both isolated and hedgerow orchards, in which the measurements were taken manually and with the sensor. The canopy volume was estimated with a methodology consisting of revolving or extruding the canopy contour. The sensor showed high accuracy in the laboratory test, except for the measurements performed at 1.0 m distance, with 60 mm error (6%). Otherwise, error remained below 20 mm (1% relative error). The cone width depended on the target reflectivity. The accuracy decreased with the target density
Valorization of cotton residues for production of bio-oil and engineered biochar
[EN] Cotton seed was submitted to fast pyrolysis in a fixed bed reactor and the liquid and solid products were characterized applying several techniques. The detailed chemical composition of the bio-oil was investigated using GC × GC/TOFMS combined with software tools and retention index. A total of 257 compounds were tentatively identified with 168 were confirmed by LTPRI. The most abundant compounds identified in the cotton seed bio-oil were nitrogenous (56 compounds) and phenolic (42 compounds) what distinguishes this bio oil from others, produced from various sources of biomass. The higher heating values of cotton seed and bio-oil were 19.34 MJ kg ¿1 and 34.25 MJ kg ¿1 respectively and demonstrating the feasibility of the use of cotton seed in its natural form for energy generation or as a secondary source once a bio-oil with these characteristics would be a suitable candidate for use in boilers for heating purposes or chemical extraction. The biochar had a significant carbon content and a high heating value (22.12 MJ kg ¿1), making it attractive for fuel applications. The activation methods used were able to improve the physical and chemical characteristics of the biochar, as demonstrated by methylene blue adsorption tests. The maximum adsorption capacity of NaOH-activated biochar was 23.82 mg g ¿1 while that of K2CO3-activated biochar was 332.40 mg g ¿1.The authors would like to thanks the support of Brazilian Coordenaçao de Aperfeicoamento de Pessoal de Nivel Superior(CAPES, scholarships for the first author-Finance code 001) and EBW thorn Project Euro-Brazilian Windows Erasmus Mundus Program (scholarships for the first author).Primaz, CT.; Ribes-Greus, A.; Jacques, RA. (2021). Valorization of cotton residues for production of bio-oil and engineered biochar. Energy. 235:1-11. https://doi.org/10.1016/j.energy.2021.12136311123
A solar cycle lost in 1793--1800: Early sunspot observations resolve the old mystery
Because of the lack of reliable sunspot observation, the quality of sunspot
number series is poor in the late 18th century, leading to the abnormally long
solar cycle (1784--1799) before the Dalton minimum. Using the newly recovered
solar drawings by the 18--19th century observers Staudacher and Hamilton, we
construct the solar butterfly diagram, i.e. the latitudinal distribution of
sunspots in the 1790's. The sudden, systematic occurrence of sunspots at high
solar latitudes in 1793--1796 unambiguously shows that a new cycle started in
1793, which was lost in traditional Wolf's sunspot series. This finally
confirms the existence of the lost cycle that has been proposed earlier, thus
resolving an old mystery. This letter brings the attention of the scientific
community to the need of revising the sunspot series in the 18th century. The
presence of a new short, asymmetric cycle implies changes and constraints to
sunspot cycle statistics, solar activity predictions, solar dynamo theories as
well as for solar-terrestrial relations.Comment: Published by Astrophys. J. Let
The Dynamic Formation of Prominence Condensations
We present simulations of a model for the formation of a prominence
condensation in a coronal loop. The key idea behind the model is that the
spatial localization of loop heating near the chromosphere leads to a
catastrophic cooling in the corona (Antiochos & Klimchuk 1991). Using a new
adaptive grid code, we simulate the complete growth of a condensation, and find
that after approx. 5,000 s it reaches a quasi-steady state. We show that the
size and the growth time of the condensation are in good agreement with data,
and discuss the implications of the model for coronal heating and SOHO/TRACE
observations.Comment: Astrophysical Journal latex file, 20 pages, 7 b-w figures (gif files
Thermo-oxidative characterisation of the residues from persimmon harvest for its use in energy recovery processes
[EN] The residues from the harvest of persimmon fruit will be thermally valorised by means of high temperature reactions within a spouted bed reactor. With the aim to obtain valuable information for the design of the device, the thermo-chemical processes were simulated by multi-rate linear non-isothermal Thermogravimetric Analysis (TGA) using O-2 as carrier gas. In addition, a set of analyses were carried out using Ar as carrier gas in order to evaluate the influence of the atmosphere (oxidative or inert conditions) on the decomposition of the samples evaluating the reactions of pyrolysis. The release of gases was monitored by Evolved Gas Analysis (EGA) with in-line Fourier Transformed Infrared (FT-IR) analysis. The thermochemical reaction was mathematically described through the definition of the main kinetic parameters: activation energy (Ea), pre-exponential factor (In A) and model and order of reaction (n). The so-called kinetic triplet was calculated through the application of a methodology based on complementary isoconversional methods. These results will be the initial parameters that will help design the Spouted Bed Reactor and it is envisaged that they will be used in computer simulation software to achieve a better understanding of the process to obtain the optimum operational parameters. (C) 2016 Published by Elsevier B.V.Moliner, C.; Aguilar, A.; Bosio, B.; Arato, E.; Ribes-Greus, A. (2016). Thermo-oxidative characterisation of the residues from persimmon harvest for its use in energy recovery processes. Fuel Processing Technology. 152:421-429. https://doi.org/10.1016/j.fuproc.2016.07.008S42142915
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