1,721,034 research outputs found
Where Can Bioenergy Heat Applications Be The Most Suitable? A Market Segmentation Analysis Of The UK Heat Market
Bioenergy Representation in the UK-MARKAL Model and the Formulation of Bioenergy Scenario
Integration of biomass into urban energy systems for heat and power. Part II: sensitivity assessment of main techno-economic factors
The paper presents the application of a mixed integer linear programming (MILP)
methodology to optimize multi-biomass and natural gas supply chain strategic design for heat and
power generation in urban areas. The focus is on spatial and temporal allocation of biomass supply,
storage, processing, transport and energy conversion (heat and CHP) to match the heat demand of
residential end users. The main aim lies on the assessment of the trade-offs between centralized
district heating plants and local heat generation systems, and on the decoupling of the biomass
processing and biofuel energy conversion steps. After a brief description of the methodology, which is
presented in detail in Part I of the research, an application to a generic urban area is proposed.
Moreover, the influence of energy demand typologies (urban areas energy density, heat consumption
patterns, buildings energy efficiency levels, baseline energy costs and available infrastructures) and
specific constraints of urban areas (transport logistics, air emission levels, space availability) on the
selection of optimal bioenergy pathways for heat and power is assessed, by means of sensitivity
analysis. On the basis of these results, broad considerations about the key factors influencing the use of
bioenergy into urban energy systems are proposed. Potential further applications of this model are
also described, together with main barriers for development of bioenergy routes for urban areas
Overview and techno-economic assessment of small scale bioenergy chp plants in the italian and uk energy markets
Integration of biomass into urban energy systems for heat and power. Part I: a MILP based spatial optimization methodolog
The paper presents a multi integer linear programming (MILP) approach to optimize multibiomass
and natural gas supply chain strategic design for heat and power generation in urban areas.
The focus is on spatial and temporal allocation of biomass supply, storage, processing, transport and
energy conversion (heat and CHP) to match the heat demand of residential end users. The main aim
lies on the representation of the relationships between the biomass processing and biofuel energy
conversion steps, and on the trade-offs between centralized district heating plants and local heat
generation systems. After a description of state of the art and research trends in urban energy systems
and bioenergy modelling, an application of the methodology to a generic case study is proposed. With
the assumed thecno-economic parameters, biomass based thermal energy generation results
competitive with natural gas, while district heating network results the main option for urban areas
with high thermal energy demand density. Potential further applications of this model are also
described, together with main barriers for development of bioenergy routes for urban areas
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
Dispelling the Myths Behind First-author Citation Counts
We 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
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