Changes to media consumption affecting production methods

Semi-converged media brands who have content on television and online need converged production teams and practices. The case study of BBC Children's 'Level Up' provides evidence and a useful illustration.

The Media as a Window on the Past? The Impact of Television and Newspaper Consumption on Knowledge of the Democratic Transition in Portugal

This study seeks to expand our understanding of how the media increase the level of political information, by focusing on an understudied yet important learning outcome: knowledge of the political past. The article explores the factors underlying variation in the recognition of the leading actors in the transitional process in Portugal. The results show that television news and newspaper exposure foster recognition of these actors, but that media use interacts with personal experience of the transition (stronger effects among younger cohorts) and party identification (stronger impact on those who do not feel close to a political party).

How does globalization affect the tax burden on labour income, capital income and consumption in different welfare regimes? The case of Western and Eastern EU Member States

This article analyzes the effects of globalization on implicit tax rates (ITRs) on labor income, capital income, and consumption in the EU15 and Central and Eastern European New Member States (CEE NMS). We find supportive evidence for an increase in the ITR on labor income in the EU15, but no effect on the ITR on capital income. There is evidence of convergence in terms of the ITR on consumption, as countries with higher than average ITR on consumption respond to globalization by decreasing their tax rates. There are important differences among the welfare regimes within the EU15. Social-democratic countries have decreased the tax burden on capital, but increased that on labor due to globalization. Globalization exerts a pressure to increase taxes on labor income in the conservative and liberal regimes as well. Taxes on consumption decrease in response to globalization in the conservative and social-democratic regimes. In the CEE NMS, there is no effect of globalization on the ITR on labor and capital income, but we find a negative impact on the ITR on consumption in the CEE NMS with higher than average ITR on consumption. (JEL H23, H24, H25, F19, F21)

Combined heat and power and consumption optimization in a SCADA-based system

The operation of power systems in a Smart Grid (SG) context brings new opportunities to consumers as active players, in order to fully reach the SG advantages. In this context, concepts as smart homes or smart buildings are promising approaches to perform the optimization of the consumption, while reducing the electricity costs. This paper proposes an intelligent methodology to support the consumption optimization of an industrial consumer, which has a Combined Heat and Power (CHP) facility. A SCADA (Supervisory Control and Data Acquisition) system developed by the authors is used to support the implementation of the proposed methodology. An optimization algorithm implemented in the system in order to perform the determination of the optimal consumption and CHP levels in each instant, according to the Demand Response (DR) opportunities. The paper includes a case study with several scenarios of consumption and heat demand in the context of a DR event which specifies a maximum demand level for the consumer.

A utilização da plataforma Educast@fccn, como ferramenta de gravação de aulas no ambiente de e-learning português

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

Central de produção de energia eléctrica a partir de energia solar térmica

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Comparison of internet usage habits in two generations of higher education students: a case study

Posters

Optimising the energy consumption on pultrusion process

This study is based on a previous experimental work in which embedded cylindrical heaters were applied to a pultrusion machine die, and resultant energetic performance compared with that achieved with the former heating system based on planar resistances. The previous work allowed to conclude that the use of embedded resistances enhances significantly the energetic performance of pultrusion process, leading to 57% decrease of energy consumption. However, the aforementioned study was developed with basis on an existing pultrusion die, which only allowed a single relative position for the heaters. In the present work, new relative positions for the heaters were investigated in order to optimise heat distribution process and energy consumption. Finite Elements Analysis was applied as an efficient tool to identify the best relative position of the heaters into the die, taking into account the usual parameters involved in the process and the control system already tested in the previous study. The analysis was firstly developed based on eight cylindrical heaters located in four different location plans. In a second phase, in order to refine the results, a new approach was adopted using sixteen heaters with the same total power. Final results allow to conclude that the correct positioning of the heaters can contribute to about 10% of energy consumption reduction, decreasing the production costs and leading to a better eco-efficiency of pultrusion process.

How to reduce energy consumption on pultrusion

The global warming due to high CO2 emission in the last years has made energy saving a global problem nowadays. However, manufacturing processes such as pultrusion necessarily needs heat for curing the resin. Then, the only option available is to apply all efforts to make the process even more efficient. Different heating systems have been used on pultrusion, however, the most widely used are the planar resistances. The main objective of this study is to develop another heating system and compares it with the former one. Thermography was used in spite of define the temperature profile along the die. FEA (finite element analysis) allows to understand how many energy is spend with the initial heating system. After this first approach, changes were done on the die in order to test the new heating system and to check possible quality problems on the product. Thus, this work allows to conclude that with the new heating system a significant reduction in the setup time is now possible and an energy reduction of about 57% was achieved.

Constrained Consumption Shifting Management in the Distributed Energy Resources Scheduling Considering Demand Response

Demand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods.

Analysis of Consumption Data to Detect Commercial Losses Using Performance Evaluation Methods in a Smart Grid

Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers’ performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.