Ensino de música no conservatório e na banda filarmónica : prática de leitura

Relatório de Estágio apresentado à Escola Superior de Artes Aplicadas do Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino da Música.Este trabalho tem como principal objetivo mostrar em quais dos estabelecimentos de ensino se realiza uma melhor leitura musical. Por um lado uma Escola de Música privada, por outro uma Escola de Música de uma Banda Filarmónica. Duas Escolas com níveis de ensino bastante diferentes, mas com o mesmo objetivo. Os resultados foram determinados pela realização de três fichas a todos os intervenientes no estudo. Neste mesmo trabalho, encontra-se uma parte do trabalho da Prática de Ensino Supervisionada, realizada pela Escola de Música do Centro de Cultura Pedro Álvares Cabral, Belmonte.Abstract: The main objective of this work is to show in which of the schools there is a better musical reading. On the one hand, we study the teaching and learning process used in a private music school; on the other hand, we focus on the same process in a philharmonic orchestra. These schools have very different education levels although they pursue the same objectives. The results were determined by the completion of three worksheets which were presented to all those involved in the study. In this same work, we can find a part of the work of supervised teaching practice held by the Music School of the Centro de Cultural Pedro Álvares Cabral in Belmonte

Wind power plants hybridised with solar power: A generation forecast perspective

ABSTRACT: aggregation for the operation of power systems is an area of recent research. Accurate forecasts are crucial for extracting those benefits and promote an optimal integration of such plants into power systems and electricity markets. This study focuses on the hybridisation of existing wind power plants with different shares of solar photovoltaic capacity and investigates how these power plants can reduce their combined forecast errors and thus, increasing profitability in electricity markets. The work uses a forecast methodology based on a sequential forward feature selection algorithm which employs two different objective functions and an artificial neural network approach previously presented but, in this case, it is applied to the specific case of hybrid power plants. The methodology uses as input data from a numerical weather prediction model and iteratively selects meteorological features to achieve the different objective functions implemented, namely i) minimisation of the root mean square error; or ii) maximisation of the market remuneration. The methodology developed was applied to three case studies in Portugal with different levels of wind and solar generation complementarity. The results show that the hybrid power plants can increase market value by up to 5% and total remuneration can increase by up to 30% when compared with the existing wind power plant, while it is possible to reduce the forecast errors by nearly 4%. The obtained results highlight the need to select the most relevant meteorological features to maximise the accuracy of the power forecast and the renewable power producers revenues in a market environment.info:eu-repo/semantics/publishedVersio

Exploring wind and solar PV generation complementarity to meet electricity demand

ABSTRACT: Understanding the spatiotemporal complementarity of wind and solar power generation and their combined capability to meet the demand of electricity is a crucial step towards increasing their share in power systems without neglecting neither the security of supply nor the overall cost efficiency of the power system operation. This work proposes a methodology to exploit the complementarity of the wind and solar primary resources and electricity demand in planning the expansion of electric power systems. Scenarios that exploit the strategic combined deployment of wind and solar power against scenarios based only on the development of an individual renewable power source are compared and analysed. For each scenario of the power system development, the characterization of the additional power capacity, typical daily profile, extreme values, and energy deficit are assessed. The method is applied to a Portuguese case study and results show that coupled scenarios based on the strategic combined development of wind and solar generation provide a more sustainable way to increase the share of variable renewables into the power system (up to 68% for an annual energy exceedance of 10% for the renewable generation) when compared to scenarios based on an individual renewable power source. Combined development also enables to reduce the overall variability and extreme values of a power system net load.info:eu-repo/semantics/publishedVersio

Enhancing wind power forecast accuracy using the weather research and forecasting numerical model-based features and artificial neuronal networks

ABSTRACT: Forecasting with accuracy the quantity of energy produced by wind power plants is crucial to enabling its optimal integration into power systems and electricity markets. Despite the remarkable improvements in the wind forecasting systems in recent years, large errors can still be observed, especially for longer time horizons. This work focuses on identifying new numerical weather prediction (NWP)-based features aiming to improve the overall quality of wind power forecasts. The methodology also incorporates a sequential forward feature selection algorithm. This algorithm was designed to select iteratively the meteorological features which minimize the wind forecast errors. The methodology was applied separately to seven wind parks in Portugal with different climate characteristics. The proposed approach allowed a reduction between 13% and 37% in the root mean square errors of wind power forecasts, compared with a baseline scenario. While the meteorological features identified for each wind park showed similarities within regions with analogous wind power generation profiles, each wind park required specific meteorological parameters as input data to obtain the best performance. Thus, the results show to be crucial to select the most relevant features of a specific site to maximize the accuracy of a wind power forecast.info:eu-repo/semantics/publishedVersio

Optimal Location of Electronic Toll Gantries: The Case of a Portuguese Freeway

AbstractThis paper presents a decision supporting tool for the location of electronic toll gantries in freeways, regarding the maximization of the toll revenue. The adopted case study consists in one of the most important Portuguese freeways, with 180km of extension and a recently introduced electronic toll collection system. In the first stage of the modeling procedure, we applied a categorical binary model to set drivers’ route choice between the tolled freeway segments and the fastest non-tolled alternative paths, based on traffic data collected before and after the introduction of the toll fees. Then, we developed an optimization model to assign a limited or unlimited number of toll gantries to the freeway segments considering the generalized costs of the trips performed using the freeway and the alternative routes. The results showed that charging for all of the freeway segments may not be the best solution to increase road pricing revenue

Urban Road Crashes and Weather Conditions: Untangling the Effects

Most previous studies show that inclement weather increases the risk of road users being involved in a traffic crash. However, some authors have demonstrated a little or even an opposite effect, observed both on crash frequency and severity. In urban roads, where a greater number of conflict points and heavier traffic represent a higher exposure to risk, the potential increase of crash risk caused by adverse weather deserves a special attention. This study investigates the impact of meteorological conditions on the frequency of road crashes in urban environment, using the city of Porto, Portugal as a case study. The weather effects were analyzed for different types of crashes: single-vehicle, multi-vehicle, property-damage-only, and injury crashes. The methodology is based on negative binomial and Poisson models with random parameters, considering the influence of daily precipitation and mean temperature, as well as the lagged effects of the precipitation accumulated during the previous month. The results show that rainy days are more prone to the occurrence of road crashes, although the past precipitation may attenuate such effect. Temperatures below 10 degrees C are associated with higher crash frequencies, complying with the impacts of precipitation in the context of the Portuguese climate characteristics

The impact of higt speed technology on demand and productivity in European Railways : An econometric analysis

Tese de doutoramento. Faculdade de Engenharia. Universidade do Porto. 199

Portugal

In 2014, the wind energy sector achieved a maturity status within the Portuguese power system. While it still experienced some additional capacity deployment (222 MW), after 15 years of intense deployment Portugal reached 4, 953 MW of installed wind power capacity by the end of 2014. Wind power represents 25% (considering only mainland Portugal) of the total operational capacity and 42% of renewable energy capacity in the country. In 2014, Portuguese wind parks produced 12.1 TWh maintaining a wind energy contribution of 24% of the annually electricity consumption. This high wind penetration was influenced by the favorable wind conditions observed in the first three months of the year over central and northern regions of mainland Portugal that also correspond to the largest concentration of installed wind capacity