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Sobre

Sobre

Licenciado em Engenharia Eletrotécnica pela Universidade de Trás-os-Montes e Alto Douro (UTAD), Portugal em 1991. Concluí o Mestrado em Engenharia Eletrotécnica, ramo de eletrónica de potência em 1997 pela UTAD e o Doutoramento em Engenharia Eletrotécnica (Análise Harmónica em Redes Eletricas BT) em 2007 pela mesma universidade. Atualmente sou professor auxiliar no Departamento de Engenharias da UTAD e também investigador do INESCTEC, pólo da UTAD. As minhas áreas de investigação principais são a qualidade de energia, máquinas elétricas e energias renováveis.


Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    José Ribeiro Baptista
  • Cluster

    Energia
  • Cargo

    Investigador Afiliado
  • Desde

    01 outubro 2012
Publicações

2022

Wind Energy Assessment for Small Wind Turbines in Different Roof Shapes Based on CFD Simulations

Autores
Oliveira, C; Cerveira, A; Baptista, J;

Publicação
SUSTAINABLE SMART CITIES AND TERRITORIES

Abstract

2022

State of the Art of Wind and Power Prediction for Wind Farms

Autores
Puga, R; Baptista, J; Boaventura, J; Ferreira, J; Madureira, A;

Publicação
INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021

Abstract
There are different clean energy production technologies, including wind energy production. This type of energy, among renewable energies, is one of the least predictable due to the unpredictability of the wind. The wind prediction has been a deeply analysed field since has a considerable share on the green energy production, and the investments on this sector are growing. The efficiency and stability of power production can be increased with a better prediction of the main source of energy, in our case the wind. In this paper, some techniques inspired by “Biological Inspired Optimization Techniques” applied to wind forecast are compared. The wind forecast is very important to be able to estimate the electric energy production in the wind farms. As you know, the energy balance must be checked in the electrical system at every moment. In this study we are going to analyse different methodologies of wind and power prediction for wind farms to understand the method with best results. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

Supraharmonic and Harmonic Emissions of a Bi-Directional V2G Electric Vehicle Charging Station and Their Impact to the Grid Impedance

Autores
Grasel, B; Baptista, J; Tragner, M;

Publicação
ENERGIES

Abstract
Bidirectional electric vehicle supply equipment and charging stations (EVSE) offer new business models and can provide services to the electrical grid. The smart grid lab in Vienna gives unique testing possibilities of future smart grids, as different type of electrical equipment can be operated at a reconstructed, well-known distribution grid. In this work the harmonic and supraharmonic emissions of a bidirectional EVSE are measured according to IEC61000-4-7 and IEC61000-4-30 Ed3 standard as well as the high-frequency grid impedance. In addition, the efficiency and the power factor are determined at various operating points. Although THDi at nominal power (10 kW) is very low and the efficiency and power factor is very high, at low power levels the opposite situation arise. Supraharmonic emissions remain stable independent of the charging/discharging power, and both wideband and narrowband emissions occur. The additional capacitance when connecting the EVSE impacts the high-frequency grid impedance substantially and generates resonance points.

2022

Power Quality of Renewable Energy Source Systems: A New Paradigm of Electrical Grids

Autores
Baptista, J; Faria, P; Canizes, B; Pinto, T;

Publicação
ENERGIES

Abstract
The power quality delivered by the distribution companies to consumers has always been a relevant issue, especially to industrial consumers, where power quality is directly related to productivity [...]

2022

Dynamic remuneration of electricity consumers flexibility

Autores
Ribeiro, C; Pinto, T; Vale, Z; Baptista, J;

Publicação
ENERGY REPORTS

Abstract
This paper proposes a decision support model to define electricity consumers’ remuneration structures when providing consumption flexibility, optimized for different load regimes. The proposed model addresses the remuneration of consumers when participating in demand response programs, benefiting or penalizing those who adjust their consumption when needed. The model defines dynamic remuneration values with different natures for the aggregator (e.g. flexibility aggregator or curtailment service provider) and for the consumer. The preferences and perspective of both are considered, by incorporating variables that represent the energy price, the energy production and the flexibility of consumers. The validation is performed using real data from the Iberian market, and results enable to conclude that the proposed model adapts the remuneration values in a way that it is increased according to the consumers’ elastic, while being reduced when the generation is higher. Consequently, the model boosts the active consumer participation when flexibility is required, while reaching a solution that represents an acceptable g tradeoff between the aggregators and the consumers. © 2022 The Authors

Teses
supervisionadas

2021

Adaptação de um robô colaborativo para a função de suporte de aquisição de imagens numa clínica dentária

Autor
Bruno da Costa Rocha

Instituição
UP-FEUP

2021

Automatic analysis of UAS-based multi-temporal data as support to a precision agroforestry management

Autor
Luís Filipe Machado Pádua

Instituição
UTAD

2019

Actuação Cooperativa de Conversores em Redes Eléctricas Inteligentes

Autor
Amaro Miguel Ferreira Antunes

Instituição
UTAD

2019

Remuneration and Tariffs in the Context of Virtual Power Players

Autor
Ana Catarina Silva Ribeiro

Instituição
UTAD

2018

Detection of lung nodules in computed tomography images

Autor
Guilherme Moreira Aresta (aluno FEUP)

Instituição
UTAD