1,720,980 research outputs found
Changes in Cooling Degree Days (CDD) between the 1.5ºC and 2.0ºC IPCC Scenarios.: Data to replicate global maps on absolute and relative changes in cooling degree days (from a 1.5ºC to a 2.0ºC warmer planet).
No full text*** NB: Please note that this dataset has been superseded by 'Changes in Cooling Degree Days (CDD) between the 1.5ºC and 2.0ºC global warming scenarios' at http://dx.doi.org/10.5287/ora-9rbzrxxgz ***
Ensembles of 2100 climate simulations were generated using the HadAM4P Atmosphere-only General Circulation Model (AGCM) from the UK Met Office Hadley Centre. Three scenarios (with 700 simulations each) were used: historical (2006-16), 1.5ºC and 2ºC.
The simulations output were mean temperatures with a 6 hours timestep and a horizontal resolution of 0.833 longitude and 0.556 latitude. Simulations took place within climateprediction.net (CPDN) climate simulation which uses the Berkeley Open Infrastructure for Network Computing (BOINC) framework. Biases in simulated temperature data were identified and corrected through statistical downscaling using a quantile Mapping approach.
Cooling degree days (CDDS) were calculated for the ensemble members (700 runs per scenario) using 18ºC temperature threshold. Then, annual mean CDDs and standard deviation per coordinate was obtained for the 1.5ºC and 2ºC scenarios
Integration of solar latent heat storage towards optimal small-scale combined heat and power generation by Organic Rankine Cycle
Full text linkThermal energy and distributed electricity demand are continuously increased in areas poorly served by a centralized power grid. In many cases, the deployment of the electricity grid is not economically feasible. Small-scale Organic Rankine Cycle (ORC) appears as a promising technology that can be operated by solar energy, providing combined heat and power (CHP) generation. Additionally, thermal energy storage can ensure stable and continuous operation in case of scarce thermal energy availability. This paper evaluates the potential application of latent heat storage to enhance solar ORC performance at operating temperatures between 80 °C and 140 °C, aiming at improving the efficiency and capacity of ORC for low-cost non-concentrating solar-thermal collectors. Three thermal energy storage scenarios are considered. Scenario 1 and 2 consist of reference cases based on a solar ORC system integrated with a conventional hot water tank and a pressurised water tank. Scenario 3 implements a storage unit based on a phase change material. The simulation was carried out through models developed in TRNSYS for solar energy balance and ASPEN for ORC system performance. The results show that solar latent heat storage tank can provide 54% of useful collector gains with a higher and narrower temperature range in the evaporator, increasing the annual thermal energy capacity by 19%, reducing annual heat losses by 66% and decreasing the investment cost by 50% in comparison with a pressurised water tank. It also allows increasing the efficiency of ORC cycle by approximately 18% (from 8.9% to 10.5%) with a higher net generated power than a conventional water tank integration, scaled up from 498 W to 1628 W. These results highlight the potential benefits that latent heat integration provides to improve the low-cost solar ORC performance for powering electricity and thermal energy supply
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Changes in Cooling Degree Days (CDD) between the 1.5ºC and 2.0ºC global warming scenarios: Data to replicate global maps on absolute and relative changes in cooling degree days (from a 1.5ºC to a 2.0ºC global warming scenario)
No full textThese NetCDF V4 files (*.nc) contain the absolute and relative mean increase of cooling degree days (CDDs) from 1.5ºC to 2ºC global warming scenarios. Additionally, the standard deviation is provided. The data has a horizontal resolution of 0.833 longitude and 0.556 latitude over the land surface.
These annual CDDs and standard deviation globally were calculated using an ensemble of 700 simulations per climate change scenario. Cooling degree days (CDDS) were calculated for the ensemble members using the temperature threshold of 18ºC. Then, annual mean CDDs and standard deviation per coordinate across ensemble members were obtained for the 1.5ºC and 2ºC scenarios. Finally, absolute and relative differences between 1.5ºC and 2ºC were computed.
The climate data, involving 700 simulations per scenario, was generated using the HadAM4P Atmosphere-only General Circulation Model (AGCM) from the UK Met Office Hadley Centre. Three scenarios were generated: historical (2006-16), 1.5ºC and 2ºC. The simulation outputs were mean temperatures with a 6-hour timestep and a horizontal resolution of 0.833 longitude and 0.556 latitude. Simulations took place within climateprediction.net (CPDN) climate simulation, which uses the Berkeley Open Infrastructure for Network Computing (BOINC) framework. Biases in simulated temperature were identified and corrected using a quantile mapping approach
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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