1,720,963 research outputs found
On ocean wave dynamics and their importance on assessing wave energy converters performance
L'abstract è presente nell'allegato / the abstract is in the attachmen
A COMPARATIVE ANALYSIS OF WAVE ENERGY CONVERTERS PERFORMANCE USING SWAN AND ERA5 DATASETS WITH A CASE STUDY ON PANTELLERIA ISLAND
Optimal Site Selection for Wave Energy Converter Installation on Pantelleria
The research aims to identify the best location for a Wave Energy Converter (WEC) on Pantelleria Island, evaluating criteria like energy resource, accessibility and feasibility. Bathymetric trend and coastal distance are key in locating suitable marine areas. An in-depth analysis was conducted to analyze the wave energy potential, considering both the mean wave power and the Wave Energy Development Index (WEDI). Sea states information are obtained from SWAN (Simulating Waves Nearshore) model, generating reliable time series data and providing waves characteristics. This study offers valuable insights for strategically deploying WECs, aligning with sustainable energy initiatives on the island
SISTEMA E METODO PER LA DETERMINAZIONE DI DATI METEO-MARINI E/O AMBIENTALI DI UN SITO DI INTERESSE
Bias correction techniques for uncertainty reduction of long-term metocean data for ocean renewable energy systems
Assessing standard-compliant offshore wind data in the North Sea
The optimization of site selection, installation and operation processes is crucial for the expansion
of offshore wind energy. These processes strongly rely on the availability of prolonged and high
quality metocean data. Traditional survey methods, while fundamental, often involve high costs,
frequent downtimes and malfunctions, and limitations in data frequency storage and reliability. These
constraints can hinder the timely development of offshore wind projects and escalate overall
expenditures. This paper presents a comprehensive review of technical industrial standards and
current offshore metocean survey methods for offshore wind energy applications, accompanied by
a description of the intrinsic advantages and weaknesses of most important recording devices.
The authors propose a methodology, articulated in five filtering steps enclosing most important
requirements set by standards, to assess the suitability of a dataset for offshore wind applications.
This approach is applied to a case study encompassing all measurement stations in the North Sea,
as provided by the Copernicus Marine Service. Recognized for its strategic importance in offshore
wind energy development, this region features a high density of measurement sensors. However,
ensuring compliance with the requirements set by industry standards remains a significant challenge.
The analysis shows that a significant number of stations fail to comply with the constraints set by
regulatory bodies, highlighting the inadequacy of most traditional technologies that results in data
scarcity in both time and space. Therefore, the need for alternative survey methods is called for,
suggesting the use of innovative techniques leveraging artificial intelligence satellite observations to
enhance wind data availability, crucial to match the growing demand of the offshore wind industry
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
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