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About

About

Associate Professor since 2011 at the Faculty of Engineering of the University of Porto (FEUP).

PhD obtained in 1995 in Electrical Engineering and Computers at FEUP.

Licenciado in 1984 in Electrical Engineering and Computers at FEUP.

Researcher at INESC TEC since 1985.

Interest
Topics
Details

Details

  • Name

    José Nuno Fidalgo
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    25th June 1985
033
Publications

2019

Impact of load unbalance on low voltage network losses

Authors
Nuno Fidalgo, JN; Moreira, C; Cavalheiro, R;

Publication
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
The total losses volume represents a substantial amount of energy and, consequently, a large cost that is often included in the tariffs structure. Uneven connection of single-phase loads is a major cause for three-phase unbalance and a fundamental cause for active power losses, particularly in Low Voltage (LV) networks. This paper analyzes the impact of load unbalance on LV network losses. In the first phase, several load scenarios per phase are considered to characterize how losses depend on load unbalance. The second phase examines the data collected per phase on a set of real networks, aiming at illustrating real-world cases. The third phase analyzes the effect that public lighting and microgeneration may have in the load unbalance and on the subsequent energy losses. The results of this work clearly demonstrate that it is possible to reduce three-phase unbalance (and losses) through a judicious distribution of loads and microgeneration. © 2019 IEEE.

2019

Impact of Climate Changes on the Portuguese Energy Generation Mix

Authors
Nuno Fidalgo, JN; Jose, DD; Silva, C;

Publication
2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)

Abstract
Global climate change is currently a focus issue because of its impacts on the most diverse natural systems and, consequently, the development of humanity. The electricity sector is a major contributor to climate change because of its long-standing dependence on fossil fuels. However, the energy paradigm is changing, and renewable sources tend to play an increasingly important role in the energy mix in Portugal. Due to the strong relationship between renewable energies and climate-related natural resources, the climate change phenomenon could have considerable effects on the electricity sector. This paper analyzes the effects of climate change on the energy mix in Portugal in the medium / long term (up to 2050). The proposed methodology is based on the simulation of climate scenarios and projections of installed power by type and consumption. The combinations of these conditions are inputted to an energy accounting simulation tool, able to combine all information and provide a characterization of the system state for each case. The most favorable forecasted scenarios indicate that a fully renewable electricity system is achievable in the medium term, in line with the objectives of the European Union, as long as investments in renewable sources continue to be stimulated in the coming years.

2018

The Use of Smart Grids to Increase the Resilience of Brazilian Power Sector to Climate Change Effects

Authors
Jose, DD; Nuno Fidalgo, JN;

Publication
TECHNOLOGICAL INNOVATION FOR RESILIENT SYSTEMS (DOCEIS 2018)

Abstract
Climate change has been a much-commented subject in the last years. The energy sector is a major responsible for this event and one of the most affected by it. Increasing the participation of renewable is a way to mitigate these effects. However, a system with large share of renewables (like Brazil) is more vulnerable to climate phenomena. This article analyzes the implementation of smart grids as a strategy to mitigate and adapt the electricity sector to climate change. Different climate and energy sector scenarios were simulated using a bottom-up approach with an accounting model. The results show that smart grids can help save energy, increase network resilience to natural hazards and reduce operational, maintenance costs and investments in new utilities. It would also allow tariffs diminution because of generation and losses costs reductions.

2018

Load and electricity prices forecasting using Generalized Regression Neural Networks

Authors
Paulos, JP; Fidalgo, JN;

Publication
2018 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST)

Abstract
Over time, the electricity price and energy consumption are increasingly growing their weight as prime foundations of the electrical sector, with their analysis and forecasts being targeted as key elements for the stable maintenance of electricity markets. The advent of smart grids is escalating the importance of forecasting because of the expected ubiquitous monitoring and growing complexity of a data-rich ever-changing milieu. So, the increasing data volatility will require forecasting tools able to rapidly readjust to a dynamic environment. The Generalized Regression Neural Network (GRNN) approach is a solution that has recently re-emerged, emphasizing good performance, fast run-times and ease of parameterization. The merging of this model with more conventional methods allows us to obtain more sturdy solutions with shortened training times, when compared to conventional Artificial Neural Networks (ANN). Overall, the performance of the GRNN, although slightly inferior to that of the ANN, is suitable, but linked to much lower training times. Ultimately, the GRNN would be a proper solution to blend with the latest smart grids features, which may require much reduced forecasting training times.

2018

The Use of Smart Grids to Increase the Resilience of Brazilian Power Sector to Climate Change Effects

Authors
de São José, D; Fidalgo, JN;

Publication
IFIP Advances in Information and Communication Technology - Technological Innovation for Resilient Systems

Abstract

Supervised
thesis

2019

Classificação do desempenho energético de edifícios residenciais com base em algoritmos imunológicos

Author
José Pedro Oliveira Martins da Silva Alves

Institution
UP-FEUP

2019

Identificação de perfis típicos e de anomalias de consumo

Author
Eduardo Miguel Reis Gonçalves Moreira

Institution
UP-FEUP

2018

Identificação de perfis típicos e de anomalias de consumo

Author
Eduardo Miguel Reis Gonçalves Moreira

Institution
UP-FEUP

2018

Climate changes in Brazil: The use of smart grids as a mitigation and adaptation strategy

Author
Débora Regina de São José

Institution
UP-FEUP

2018

Impacto do Desequilíbrio Trifásico nas Perdas de uma Rede de Distribuição BT

Author
Rafael Correia Cavalheiro

Institution
UP-FEUP