How to Track Time

It is daylight, or it is darkness. The sky tells it like it is, if you’re listening with your eyes. You act accordingly, without thinking about it

Against Creative Writing Studies (and for Ish-ness)

When I talk about my work that might now be claimed by creative writing studies, I refer to it as scholarship in or writing about creative writing pedagogy and the profession. That’s how I note it in my annual and promotion reviews and how I phrase it in my contributor’s note. This work has counted—I’ve been acknowledged for this work—at a medium-sized open-enrollment state university and at small and medium-sized comprehensive private institutions. I don’t use the term creative writing studies to refer to what I do. Despite my longstanding aspiration to explore creative writing pedagogy, creativity, and the profession, this article is a declaration against the de rigueur term

Transfer learning for radio galaxy classification

In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data. The question of whether these trained algorithms have cross-survey identification ability or can be adapted to develop classification networks for future surveys is still unclear. One possible solution to address this issue is transfer learning, which re-uses elements of existing machine learning models for different applications. Here we present radio galaxy classification based on a 13-layer Deep Convolutional Neural Network (DCNN) using transfer learning methods between different radio surveys. We find that our machine learning models trained from a random initialization achieve accuracies comparable to those found elsewhere in the literature. When using transfer learning methods, we find that inheriting model weights pre-trained on FIRST images can boost model performance when re-training on lower resolution NVSS data, but that inheriting pre-trained model weights from NVSS and re-training on FIRST data impairs the performance of the classifier. We consider the implication of these results in the context of future radio surveys planned for next-generation radio telescopes such as ASKAP, MeerKAT, and SKA1-MID

Parametric study of lab-scale and pilot-scale biomass torrefaction for the production of woodstove briquettes

Conversion of torrefied olive residues to high-density briquettes is a potential solution to solid waste problems as well as to the lack of locally available fuel wood in Ireland. In this study, olive stones were torrefied at various temperatures and holding times in a fixed-bed reactor. Effects of process parameters such as heat treatment temperature from 200 to 300℃, residence time from 30 to 60 min, and particle size from 0.18 to 3 mm on the yield and composition of products were investigated and the results were compared with the mass balances from industrial-scale torrefaction plant at the Arigna Fuels (Carrick-on-Shannon, Ireland). The olive stones of larger particle size produced more liquid and gaseous products than smaller particles in a fixed bed reactor, whereas particle size had significantly less influence on the product yields than residence time and heat treatment temperature. The analysis of liquid products of the industrial-scale plant showed a greater content of heavy molecular products compared to the lab-scale pyrolysis using high-performance liquid chromatography and size exclusion chromatography techniques. New value-added products were developed from the tar compounds produced at the industrial-scale torrefaction plant. In addition, the lab-scale experiments showed that the ash content of torrefied biomass significantly increased with the increased feedstock particle size. The torrefied olive stones briquettes using different binders were tested in a conventional woodstove. Torrefaction of olive stones has been found to reduce the emissions by approximately 60% compared to the non-treated feedstock. This demonstrates that torrefaction has good potential as a cost-effective and sustainable process for the production of woodstove briquettes from low-quality feedstocks

Prediction of yields and composition of char from fast pyrolysis of commercial lignocellulosic materials, organosolv fractionated and torrefied olive stones

peer-reviewedThis study investigated the fast pyrolysis behaviour of torrefied olive stones, fractionated olive stones and lignocellulosic commercial compounds. Olive stones were reacted in a continuous industrial torrefaction unit. The olive stones were also fractionated into their main components in an organosolv reactor at temperatures from 170 to 190 ◦C in both the presence and absence of an acidic catalyst. All samples were reacted in a wire mesh reactor at different temperatures (800–1150 ◦C) and heating rates (400–1150 ◦C/s), and the solid product was characterised for its yield, morphology, and elemental composition. The char yields from fast pyrolysis of commercially available cellulose, hemicelluloses, and lignin were compared with yields of fractionated olive stones. A model was developed to compare the measured yields of olive stones with the predicted yields using fractionated or commercial components. The presence of acid during fractionation had a stronger effect than the temperature, particularly on the lignin fraction. The fractionated lignocellulosic compounds provided more accurate predictions of the char yields of olive stones, as compared to the commercial lignocellulosic compounds. The fractionation at 180 ◦C without acid catalyst gave the cellulose, hemicellulose, and lignin with highest degree of purity and resulted in the most accurate predictions of the experimental yields of olive stones. The results showed that interactions between the lignocellulosic components were not significant. The char yield of each fractioned compound and non-treated olive stones could be accurately predicted from the lignocellulosic content which has importance for biorefinery applications in which each fraction is used as a value-added product

Characterization of woodstove briquettes from torrefied biomass and coal

peer-reviewedUsing waste biomass materials offers the potential to reduce the greenhouse gas emissions from fossil fuels. Torrefaction is very useful for improving the fuel properties of biomass in order to better match those of coal. The aim of this work is to compare the properties of torrefied low quality biomass briquettes against coal equivalents. The composition of the briquettes was characterized by 13C CP/MAS, proximate analysis, and X-ray diffraction and the results were compared with equilibrium calculations. In addition to these techniques, we report for the first time on the use of XμCT for characterizing such materials. The XμCT analysis showed that the briquette structure contains carbon, binder and inorganic matter, with quartz retained from the original feedstock in torrefied biomass and coal briquettes. The CO2 reactivity of pulverized briquettes was investigated by thermogravimetric analysis. Results showed that the inorganic matter influences the reactivity less than the organic composition and porosity. Importantly from a technological standpoint, the increase in binder concentration and replacement of starch with resin binder did not influence the reactivity and calorific value of a pulverized briquette