Avaliação do potencial eólico da zona de Évora - Contribuição para a redução de emissões de CO2

Neste trabalho é analisado o potencial eólico da região de Évora, tendo sido considerados quatro locais: Mitra, Portel, Reguengos e Colégio Verney. Com os dados de potência obtidos, foram escolhidas duas turbinas existentes no mercado, de potências nominais diferentes, para uma análise mais objectiva do real potencial da região. Apurou-se que, com a instalação de três turbinas menores, se obtém praticamente a mesma potência, por um preço consideravelmente inferior. Foi ainda possível verificar-se que a quantidade evitada de C02 para a atmosfera, ao considerar uma turbina de 5000 W (B) ou três 1000 W (A), é semelhante, concluindo-se que, considerando a eficiência, potencial, preço e emissões de co2 evitadas, a instalação de diversas turbinas A é a melhor opção. Este trabalho reveste-se de particular interesse considerando o facto de ser do conhecimento geral que, nas regiões costeiras e montanhosas, o potencial eólico está bastante estudado, ao passo que nas regiões interiores tal não acontece. ABSTRACT: ln this work, we assess the potential wind power in Évora, and four locations have been considered: Mitra, Portel, Reguengos and Évora. Based on the local wind power potential, two kinds of turbines were selected, for a more objective analysis of the region's useful wind power. It was found that the option for three small turbines allows the extraction of the same wind power that is extracted by the bigger turbine and at a considerably lower installation cost. lt was also found that the reduction in co2 emissions to the atmosphere, when considering the cases of one 5000 W (B) turbine and three 1000 W (A) turbines, is similar, therefore was concluded that, given the efficiency, potential, price and reduction of C02 emissions, the installation of several A turbines is the best option. This work is of particular interest because in coastal and mountain areas the wind potential is quite known, while this is not the case of inland areas.

Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modeled by variable costs, start-up costs and technical operating constraints, such as: ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, aiming to maximize the expected profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.

Bidding Decision of Wind-Thermal GenCo in Day-Ahead Market

This paper deals with the self-scheduling problem of a price-taker having wind and thermal power production and assisted by a cyber-physical system for supporting management decisions in a day-ahead electric energy market. The self-scheduling is regarded as a stochastic mixed-integer linear programming problem. Uncertainties on electricity price and wind power are considered through a set of scenarios. Thermal units are modelled by start-up and variable costs, furthermore constraints are considered, such as: ramp up/down and minimum up/down time limits. The stochastic mixed-integer linear programming problem allows a decision support for strategies advantaging from an effective wind and thermal mixed bidding. A case study is presented using data from the Iberian electricity market.

Bidding strategy of wind-thermal energy producers

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.