Análise comparativa entre Brasil e Alemanha sobre autoprodução de energia elétrica residencial

The energy crisis has affected many countries. With the growing warning with the emission in the atmosphere and the lack of resources, the seek for sustainable sources for energy genaration have become even bigger. Some Countries, as Germany, started first in this journey, creating an incentive program to self-generation with renewable sources (wind, photovoltaics, biomass, etc.), giving priority for smaller plants. In Germany the program called EEG started in 2004. In Brazil, since the beggining of 2012, the self-generators did not know how they could be beneficted for self-generation, and self-generation didn't become commun in the country. However, with NR 482, of April 17th, 2012, the parameters were defined, and the self-generator could have a guideline. Therewith, studyies can be redirected for a better knowlegde of the conditions the self-generator will be sujected, in addition to Germany's case as reference to compare with Brazil's case. In this paper these studies are made, focused in wind power (wind turbines) and photovoltaic panels

Aplicação do AHP em um caso de escolha dos modais de transporte para a movimentação das partes de um aerogerador

Wind power is a type of energy that is still not too explored in Brazil and, because of the lack of experience in projects of this size, there are still some problems during the stages of planning and execution of wind farms projects. One of these problems is related with the parts’ transportation logistics, since these parts are difficult to transport, because of their length, weight or shape. Furthermore, another aggravating factor is the lack of options regarding to the transportation modals that are available to do the route between the manufacture place and the project site. To help in the decision-making process about the ideal transportation configuration, aiming to reduce the dependence of the logistics’ coordinator, it was chosen to use he AHP method to compare some criteria that have influence in the modal’s choice process. The criteria, determined by the members of the company’s logistics’ department, are: transportation costs, transportation time and the risk of causing damages to the cargo. The results shown by this model, using theoretical background, that standardize the processes related to the modal’s choice

Estudo da produção de hidrogênio eletrolítico a partir de fontes eólica, solar e hidrelétrica

Introduces technical, economic and environmentally competitive solutions in the energy market is a great challenge for society. This work examines each of these aspects considering the production of electrolytic hydrogen with energy from wind power, solar and hydropower, in order to ensure an overview of this energy carrier. Initially, an assessment of the technical aspects is made addressing existing electrolysers technologies, its main characteristics and differences. The geographical distribution of wind, solar and hydroelectric potential in Brazil is also mapped, and a configuration scheme of a hydrogen production system is discussed. Subsequently, the economic analysis calculates the cost of investment in the alkaline electrolyser of 60 Nm³ / h, similar to the Brazilian bus powered by hydrogen project, coordinated by EMTU. Since the main input of electrolysis is electricity, is analyzed the latest energy auctions of each primary source and it is calculated the cost of production of the wind, solar and hydropower hydrogen. Postponed to this, are investigated the intrinsic environmental impacts of electricity generation process, proposing a readjustment of an indicator of ecological efficiency for the production of hydrogen. Finally, the work discusses the concept of externalities and demonstrates how the incorporation of external costs can leverage the hydrogen economy. In short, it is evident that the wind and hydroelectric hydrogens are more promising compared to solar hydrogen, whether in the economic aspect, because it achieved lower costs, whether in the environmental aspect, because it reached the highest ecological efficiency

Viabilidade da geração de eletricidade a partir de fonte eólica on-shore: dificuldades e vantagens de expansão na matriz elétrica brasileira

The renewable energy sources presents an important role on the world's current context, its growing is essentially connected to the environmental issues and the energetic security, guided by the search for alternatives of energy. Among the alternative energy sources, the wind energy shows great importance in the brazilian territory, it has a great potential still unexplored and constant growth in the national electric matrix. The specific factor of generation, the conjuncture and the incentive politics influence on the expansion of wind energy in Brazil. Thus, the brazilian wind sector shows features which can be evaluated enable its developing. Keeping that in mind, the present work aims identify which are the advantages and the difficulties for the expansion of this energy source in the brazilian electric matrix. For that, the work studies the different parameters: features of electric generation of the different energy sources, incentive politics, generation costs, CO2 emission, evolution of wind energy in Brazil, the brazilian wind potential, and the regime of complementarily hydro-wind

Melhoria nas forças restaurativas do equilíbrio do gerador de indução duplamente alimentado por meio de controle da tensão interna

Pós-graduação em Engenharia Elétrica - FEIS

Estudo sobre o panorama da energia elétrica no Brasil e tendências futuras

Pós-graduação em Engenharia Elétrica - FEB

Aplicação da teoria fuzzy no controle de sistemas de geração de energias alternativas

This paper presents the application and use of a methodology based on fuzzy theory and simulates its use in intelligent control of a hybrid system for generating electricity, using solar energy, photovoltaic and wind. When using a fuzzy control system, it reached the point of maximum generation of energy, thus shifting all energy generated from the alternative sources-solar photovoltaic and wind, cargo and / or batteries when its use not immediately. The model uses three variables used for entry, which are: wind speed, solar radiation and loading the bank of batteries. For output variable has to choose which of the batteries of the battery bank is charged. For the simulations of this work is used MATLAB software. In this environment mathematical computational are analyzed and simulated all mathematical modeling, rules and other variables in the system described fuzzy. This model can be used in a system of control of hybrid systems for generating energy, providing the best use of energy sources, sun and wind, so we can extract the maximum energy possible these alternative sources without any prejudice to the environment.

Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function

In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function and the Backpropagation algorithm, as an algorithm to train the network. This methodology allows you to make the prediction at various points in power system, considering different types of consumers (residential, commercial, industrial) of the electric grid, is applied to the problem short-term electric load forecasting (24 hours ahead). We use a database (Centralised Dataset - CDS) provided by the Electricity Commission de New Zealand to this work.

A nonlinear and non-ideal wind generator supporting structure

We present a simple mathematical model of a wind turbine supporting tower. Here, the wind excitation is considered to be a non-ideal power source. In such a consideration, there is interaction between the energy supply and the motion of the supporting structure. If power is not enough, the rotation of the generator may get stuck at a resonance frequency of the structure. This is a manifestation of the so-called Sommerfeld Effect. In this model, at first, only two degrees of freedom are considered, the horizontal motion of the upper tip of the tower, in the transverse direction to the wind, and the generator rotation. Next, we add another degree of freedom, the motion of a free rolling mass inside a chamber. Its impact with the walls of the chamber provides control of both the amplitude of the tower vibration and the width of the band of frequencies in which the Sommerfeld effect occur. Some numerical simulations are performed using the equations of motion of the models obtained via a Lagrangian approach.

Pricing of reactive power support provided by distributed generators in transmission systems

Distributed Generation, microgrid technologies, two-way communication systems, and demand response programs are issues that are being studied in recent years within the concept of smart grids. At some level of enough penetration, the Distributed Generators (DGs) can provide benefits for sub-transmission and transmission systems through the so-called ancillary services. This work is focused on the ancillary service of reactive power support provided by DGs, specifically Wind Turbine Generators (WTGs), with high level of impact on transmission systems. The main objective of this work is to propose an optimization methodology to price this service by determining the costs in which a DG incurs when it loses sales opportunity of active power, i.e, by determining the Loss of Opportunity Costs (LOC). LOC occur when more reactive power is required than available, and the active power generation has to be reduced in order to increase the reactive power capacity. In the optimization process, three objectives are considered: active power generation costs of DGs, voltage stability margin of the system, and losses in the lines of the network. Uncertainties of WTGs are reduced solving multi-objective optimal power flows in multiple probabilistic scenarios constructed by Monte Carlo simulations, and modeling the time series associated with the active power generation of each WTG via Fuzzy Logic and Markov Chains. The proposed methodology was tested using the IEEE 14 bus test system with two WTGs installed. © 2011 IEEE.

Distributed generators as providers of reactive power support - A market approach

Traditionally, ancillary services are supplied by large conventional generators. However, with the huge penetration of distributed generators (DGs) as a result of the growing interest in satisfying energy requirements, and considering the benefits that they can bring along to the electrical system and to the environment, it appears reasonable to assume that ancillary services could also be provided by DGs in an economical and efficient way. In this paper, a settlement procedure for a reactive power market for DGs in distribution systems is proposed. Attention is directed to wind turbines connected to the network through synchronous generators with permanent magnets and doubly-fed induction generators. The generation uncertainty of this kind of DG is reduced by running a multi-objective optimization algorithm in multiple probabilistic scenarios through the Monte Carlo method and by representing the active power generated by the DGs through Markov models. The objectives to be minimized are the payments of the distribution system operator to the DGs for reactive power, the curtailment of transactions committed in an active power market previously settled, the losses in the lines of the network, and a voltage profile index. The proposed methodology was tested using a modified IEEE 37-bus distribution test system. © 1969-2012 IEEE.

GIS-based analytical tools for transport planning: spatial regression models for transportation demand forecast

Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.