Ist patriotischer Nationalstolz wünschenswert? Eine differenzierte Analyse seiner psychologischen Bedeutung

Previous studies found that patriotic national pride (e.g., pride in democracy) - as opposed to nationalistic national pride (e.g., pride in being German) - has an attenuating effect on ethnocentrism, which is desirable from a democratic standpoint. Here it is hypothesized (1) that patriotic pride can be ascribed to the three components national identification, importance of democratic aspects of Germany, and belief in existence of democratic aspects of Germany, and (2) that these components exert in part conflicting effects on ethnocentrism and other variables. In two questionnaire studies (N-1 = 121, N-2 = 150) it is shown that (1) the three components do predict patriotic national pride and (2) the democratically desirable effects of patriotic pride trace back primarily to the importance of democratic aspects. In conclusion, from a democratic standpoint, it is positive valuation of democratic aspects and not patriotic pride that should be nurtured.

Combination of CFD and DOE to analyse solid particle erosion in elbows

Solid particle erosion is a major concern in the engineering industry, particularly where transport of slurry flow is involved. Such flow regimes are characteristic of those in alumina refinement plants. The entrainment of particulate matter, for example sand, in the Bayer liquor can cause severe erosion in pipe fittings, especially in those which redirect the flow. The considerable costs involved in the maintenance and replacement of these eroded components led to an interest in research into erosion prediction by numerical methods at Rusal Aughinish alumina refinery, Limerick, Ireland, and the University of Limerick. The first stage of this study focused on the use of computational fluid dynamics (CFD) to simulate solid particle erosion in elbows. Subsequently an analysis of the factors that affect erosion of elbows was performed using design of experiments (DOE) techniques. Combining CFD with DOE harnesses the computational power of CFD in the most efficient manner for prediction of elbow erosion. An analysis of the factors that affect the erosion of elbows was undertaken with the intention of producing an erosion prediction model. © 2009 Taylor & Francis.

L'indicateur EU2020 de suivi de la pauvreté et de l'exclusion: une analyse critique

The reduction of poverty and social exclusion is one of the targets of the European Union's 2020 strategy. The appropriateness and success of such a policy require the choice of relevant indicators that not only highlight poverty gaps between countries but also identify the groups of individuals in each country that need particular attention from social policies. The target retained in the European strategy combines three criteria: people living in households below the monetary poverty threshold, poor people “in terms of standard of living” who live in a situation of severe material deprivation, and those who live in households with very low or zero work intensity. We first show that neither the combination nor the intersection of these three criteria produces an adequate measure of the fight against poverty, or an objective for it. We therefore propose an alternative concept, that of “consistent poverty”, which targets people who simultaneously live below the monetary poverty threshold and above a certain level of material deprivation. The special material deprivation module of the EU-SILC 2009 database allows us to examine two versions of this notion of deprivation: the measurement of “severe” deprivation currently used by the European Union, which adopts a threshold with four items, and an alternative measure of “elementary” material deprivation with a three-item threshold. The intersection between our three-item elementary deprivation criterion and the monetary poverty criterion produces more satisfactory results than those obtained by the European Union approach, in terms of both coherency and profile of the population identified.

A methodology to analyse the impact of offshore wind forecasting error on electricity markets

Currently wind power is dominated by onshore wind farms in the British Isles, but both the United Kingdom and the Republic of Ireland have high renewable energy targets, expected to come mostly from wind power. However, as the demand for wind power grows to ensure security of energy supply, as a potentially cheaper alternative to fossil fuels and to meet greenhouse gas emissions reduction targets offshore wind power will grow rapidly as the availability of suitable onshore sites decrease. However, wind is variable and stochastic by nature and thus difficult to schedule. In order to plan for these uncertainties market operators use wind forecasting tools, reserve plant and ancillary service agreements. Onshore wind power forecasting techniques have improved dramatically and continue to advance, but offshore wind power forecasting is more difficult due to limited datasets and knowledge. So as the amount of offshore wind power increases in the British Isles robust forecasting and planning techniques are even more critical. This paper presents a methodology to investigate the impacts of better offshore wind forecasting on the operation and management of the single wholesale electricity market in the Republic of Ireland and Northern Ireland using PLEXOS for Power Systems. © 2013 IEEE.

Investigating Tools used to Analyse the Impact of a Wave Farm on the surrounding Wave Field

For wave energy to become commercially viable, it is predicted that wave energy converters (WECs) will need to be installed in large wave farms. This will required an extensive environmental impact study. Assessments of impacts of these sites requires prior numerical modelling however the available tools have not been fully validated.
This project investigates the area surrounding an array of five scaled WEC models using experimental techniques. It then assesses the suitability of numerical tools to be validated with this experimental data. Validated numerical tools could then be used to predict parameters relating to the models such as reflection and transmission coefficients.
The physical aspect of this project was conducted in the Portaferry wave basin owned by Queen’s University Belfast. The device studied was a bottom hinged oscillating wave surge converter (OWSC) which penetrates the surface (similar to the Oyster device). The models were tested at 40th scale.