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Publicações

Publicações por João Catalão

2013

Economic Evaluation and Experimental Setup of Biomass Energy as Sustainable Alternative for Textile Industry

Autores
Nunes, LJR; Matias, JCO; Catalao, JPS;

Publicação
2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC)

Abstract
The use of biomass as energy source becomes considered again as a possibility, after a period in which practically felt in disuse, especially in industrial environments. Nowadays it is again an important alternative, mainly due to the increasing prices of fossil fuels, especially oil and natural gas, as well as by the growing environmental and sustainability concerns, since the biomass fuel is considered neutral in terms of CO2 emissions. The use of biomass as solid fuel poses several logistic difficulties that do not allow their straightforward dissemination in all industrial units, which intend to change its fuel source. In this paper, a case study of integration of renewable energy sources provides results obtained based on an experimental setup using biomass technology, posing a major advantage for the Portuguese textile industry, in particular the dyeing textile industry, over the traditional use of fossil fuels.

2017

A New Approach for Market Power Detection in Renewable-based Electricity Markets

Autores
Hajibandeh, N; Shafie khah, M; Osorio, GJ; Catalao, JPS;

Publicação
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)

Abstract
This work proposes a new approach to detect the market power in power systems consisting of renewable energy sources. A model powered by game theory and agent-based systems is proposed to analyze the behaviors of each market player from the regulatory body's viewpoint. The proposed method considers both the tacit collusive behavior of Generation Companies, and the possibility of explicit collusion. In addition, three new market power indexes are introduced to quantify the market power level as well as to precise its causes. In order to evaluate the efficiency of the methodology, various numerical studies are carried out, and the effect of several market regulations is investigated on the market behaviors.

2017

Simulation Study of a Photovoltaic Cell with Increasing Levels of Model Complexity

Autores
Rodrigues, EMG; Godina, R; Pouresmaeil, E; Catalao, JPS;

Publicação
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)

Abstract
In this paper, different complexity levels are analyzed for modeling photovoltaic cells. The electrical circuit approach is the technique mostly used to describe photovoltaic cell behavior. Single and double diode models are two typical representations for this purpose. The parameters number necessary to represent photovoltaic cells in single and double diode models are studied in this paper and its impact on characterizing I-P and P-V curves is explored to discuss parameters role in providing more accuracy. The modeling approach allows to adequately simulate photovoltaic array systems taking into account the compromise between the accuracy and simplicity. The mathematical models are implemented in Matlab/Simulink by using the Newton-Raphson method.

2017

Domestic appliances energy optimization with model predictive control

Autores
Rodrigues, EMG; Godina, R; Pouresmaeil, E; Ferreira, JR; Catalao, JPS;

Publicação
ENERGY CONVERSION AND MANAGEMENT

Abstract
A vital element in making a sustainable world is correctly managing the energy in the domestic sector. Thus, this sector evidently stands as a key one for to be addressed in terms of climate change goals. Increasingly, people are aware of electricity savings by turning off the equipment that is not been used, or connect electrical loads just outside the on-peak hours. However, these few efforts are not enough to reduce the global energy consumption, which is increasing. Much of the reduction was due to technological improvements, however with the advancing of the years new types of control arise. Domestic appliances with the purpose of heating and cooling rely on thermostatic regulation technique. The study in this paper is focused on the subject of an alternative power management control for home appliances that require thermal regulation. In this paper a Model Predictive Control scheme is assessed and its performance studied and compared to the thermostat with the aim of minimizing the cooling energy consumption through the minimization of the energy cost while satisfying the adequate temperature range for the human comfort. In addition, the Model Predictive Control problem formulation is explored through tuning weights with the aim of reducing energetic consumption and cost. For this purpose, the typical consumption of a 24 h period of a summer day was simulated a three-level tariff scheme was used. The new contribution of the proposal is a modulation scheme of a two-level Model Predictive Control's control signal as an interface block between the Model Predictive Control output and the domestic appliance that functions as a two-state power switch, thus reducing the Model Predictive Control implementation costs in home appliances with thermal regulation requirements.

2014

Energy storage systems supporting increased penetration of renewables in islanded systems

Autores
Rodrigues, EMG; Godina, R; Santos, SF; Bizuayehu, AW; Contreras, J; Catalao, JPS;

Publicação
ENERGY

Abstract
Nowadays, with the large-scale penetration of distributed and renewable energy resources, ES (energy storage) stands out for its ability of adding flexibility, controlling intermittence and providing back-up generation to electrical networks. It represents the critical link between the energy supply and demand chains, being a key element for increasing the role and attractiveness of renewable generation into the power grid, providing also numerous technical and economic benefits to the power system stake-holders. On islanded systems and micro-grids, being updated about the state-of-the-art of ES systems and their benefits becomes even more relevant. Hence, in the present paper a comprehensive study and analysis of ES leading technologies' main assets, research issues, global market figures, economic benefits and technical applications is provided. Special emphasis is given to ES on islands, as a new contribution to earlier studies, addressing their particular requirements, the most appropriate technologies and existing operating projects throughout the world.

2017

A New DG Planning Approach to Maximize Renewable - Based DG Penetration Level and Minimize Annual Loss

Autores
Najafi, S; Shafie khah, M; Hajibandeh, N; Osorio, GJ; Catalao, JPS;

Publicação
TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS

Abstract
Distributed Generation (DG) using renewable technologies is increasing due to their benefits including energy security and emission reduction. However, installing new DGs in distributed networks is limited due to network constraints such as feeder capacity and short circuit level, as well as higher investment costs. In this paper, network reconfiguration and reactive power planning are used to maximize DG penetration level and to minimize annual loss for DGs with biomass technologies. In order to model the problem uncertainties, 96 scenarios considering ten different network load levels are studied. A multi objective method is applied for solving this optimization problem by using Pareto front. The numerical results indicate the positive impacts of the proposed approach on improving the network security.

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