1,720,957 research outputs found
Looking for the unified classification and evaluation approach of SG interface standards for the purposes of ELECTRA IRP
No full textA huge set of Smart Grid related standards already exist and is continuously being updated in various technical working groups in various parts of the world. Ongoing EU-funded ELECTRA Integrated Research Programme (IRP) on Smart Grids [1] aims to re-use the existing standards within its in progress activities considering to be in compliance with the standardization groups like CEN/CENELEC/ETSI, NIST and others. Moving towards the implementation of the functional architecture, it is important to be aware of the information to be exchanged and how communication protocols can be used in support of Smart Grid information exchange. Therefore, a reference method needs to be developed for assessing and classifying the ICT interoperability standards and specifications. The existing Common Assessment Method for Standards and Specifications (CAMSS) is thought to be a tool for Public Administration choices of standards, especially for e-government and e-procurement in EU. Despite CAMSS defines an evaluation schema for standards and specifications via an Excel tool, this paper shows that the CAMSS approach needs to be modified and adapted for the goals of ELECTRA IRP. Moreover, the elaborated tool would not only be useful for ELECTRA purposes but it would be used in a broader Smart Grid (SG) perspective as well and also, with some slight adaptations, more in general, for all complex contexts involving a high number of standards (e.g. the Smart City context). © 2015 IEEE
Parametrization of self-consumption and self-sufficiency in Renewable Energy Communities: a case study application
No full textIn 2018, the European Clean Energy Package introduced the concept of Renewable Energy Communities (RECs) to promote the use of renewable energy sources and local energy consumption. This initiative also supports increased self-sufficiency and mitigates the negative impact of renewable energy on grid management. RECs consist of groups of members who share energy, and various combinations of REC members can be assessed using different KPIs. The SIMUL-REC simulation code has been developed for these purposes, incorporating an innovative parametrization for self-consumption and self-sufficiency within RECs. This approach enables an analysis of the KPIs’ dependence on the production/consumption ratio, as well as the influence of seasonal and daily effects, thereby guiding the identification of the most suitable configurations. A complex case study in Lignano Sabbiadoro (Italy) is analyzed, involving 88 participants and nearly 50 detailed load profiles. The results, in addition to electricity consumption and production, primarily focus on the self-sufficiency rate (40%), the significant contribution of shared energy (57%) compared to direct self-consumption (19%), and their parametrization. New Italian tariff premiums introduced in 2024 create new scenarios, and initial economic evaluations have been conducted using two contrasting cases
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
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
Energy saving and efficiency tool: A sectorial decision support model for energy consumption reduction in manufacturing SMEs
No full textThe problem of Energy Efficiency in industry is a hot topic but companies are not still implementing, on a mass scale, energy efficiency actions. One of the most important barriers is that companies are scarcely aware of their consumptions and consider energy as a fixed cost and not as a resource to be managed. In this paper it is proposed a model, based on self- Analysis of consumptions, for facing this barrier. On the base of this model, a software tool, Energy Saving and Efficiency Tool (ESET), was designed as a starting point of an energy diagnosis path for SMEs. ESET was developed for textile/clothing sector but the model is general and, starting from it, similar sectorial tools can be developed. The tool provides different kinds of outputs: Best practices, for helping companies to improve its own energy performances; energy efficiency indices, compared with reference values; energy use behaviours. Particularly, best practices are selected using a large set of rules, distilled from the experience of professional energy auditors. The analysis of the accuracy and completeness of ESET results was performed on six companies selected among all those involved in ESET testing and application. The results of this evaluation are very encouraging. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
Energy consumption characterization based on a self-analysis tool: A case study in yarn manufacturing
No full textEven if energy efficiency represents a crucial issue for the sustainability of the manufacturing industry, the companies need to be encouraged in investing their resources for this goal. One of the means to facilitate this effort is the comparison of the energy performances with similar factories. Nevertheless, since the enterprises are very heterogeneous, these performance values have, even within a specified manufacturing sector, a high variability and therefore risk not to be representative. The dispersion of these data has to be decisively decreased. This goal is pursued here by means of an energy consumption characterization model based on: 1. a self-analysis software tool collecting energy consumption data in a simple and homogeneous way; 2. the clustering of the factories; 3. the separation of the auxiliary energy uses from the production process energy consumption. The method is here applied to textile industry with a focus on the electrical consumption in yarn factories. The outcomes show a correlation with some production variables, such as the raw materials, and allow to reduce the relative errors of the energy performances of different factories from about 80% to about 25-40%. In this way, energy reference indicators can be built in an acceptable and representative way
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