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About

José Villar was born in 1967 in Madrid. He received the degree in Electronic Engineering in 1991 and his Ph.D in 1997 from the School of Industrial Engineering-ICAI at the Universidad Pontificia Comillas, Madrid, Spain. From 1997 to 2017 he was Researcher at the Instituto de Investigación Tecnológica-IIT (Institute for Research in Technology) of ICAI and Deputy Director of IIT from 2004 to 2016, and was Senior Associate Professor at the ICAI Electronic and Communications Department, and member of the Doctorate Academic Comission of Comillas University from 2013 to 2017.

José Villar is currently Senior Researcher at INESC TEC in its Center for Power and Energy Systems.

He has participated in more than 50 research projects with industry and administrations, coordinating more than 20, and his co-author of more than 20 papers in International Journals (most JCR indexed) and more than 60 papers in international conferences.

His current areas of interest include operation and strategic planning of power systems, electrical vehicles, renewable generation, distributed generation and smart cities, soft computing and data mining.

Interest
Topics
Details

Details

009
Publications

2020

The determinants for a circular economy in Europe

Authors
Robaina, M; Villar, J; Pereira, ET;

Publication
Environmental Science and Pollution Research

Abstract
The circular economy contrasts with the traditional linear economy since it presents a sustainable way both to produce goods and services and to contribute to the development of economies. This paper aims to contribute to a better knowledge of the efficiency of resources productivity, a common indicator to compare how circular economies are, through the estimation of the main determinants for the circular economy in Europe. A systematic analysis and comparison of the performance of all the European Union countries was performed to get further insight into their root causes and to help designing future policies towards a more circular European Union economy. With this purpose, a set of determinant factors for a circular economy in Europe were analysed, under the period between 2000 and 2016. A cluster analysis was applied and complemented with three econometric estimation methods: panel unit root tests, panel cointegration tests and vector autoregression model. The main findings allowed to cluster European countries into three different groups according to the growth rate of their resources productivity and to explain them according to the selected exploratory factors. Special efforts were made to explain the highest productivity growth group, as a way to find relevant drivers towards sustainable productivity growths. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

2020

An equilibrium approach for modeling centralized and behind-the-meter distributed generation expansion

Authors
Doménech Martínez, S; Campos, FA; Villar, J; Rivier, M;

Publication
Electric Power Systems Research

Abstract
Power systems will face important structural changes in the near future due to the empowerment of consumers, who may resort on self-consumption, and reduce their purchases of electricity from the grid. The avoided costs of purchasing energy, as compared to the investment costs of installing their own self-generation capacity, could be one of the drivers of the consumers’ decision making. The system expansion will therefore result from the interaction of the traditional market agents, maximizing their profits by investing in and operating centralized generation assets, and the new active consumers, minimizing their expenses while meeting their energy needs. This paper presents a Nash equilibrium model that considers centralized and behind-the-meter distributed generation expansion, by representing the operation and investments decisions of both types of agents with their own conceptually different strategies. To simplify the resolution, the equilibrium model is transformed into an equivalent minimization problem from its Karush-Kuhn-Tucker conditions. The model application to Spain-like system case example allows to assess the impact of the network access-tariff (whether being mainly volumetric-based or power-based) and the impact of the big industrial market power on the generation expansion, for the time horizon 2019-2037. © 2020 Elsevier B.V.

2020

Circular economy in plastic waste - Efficiency analysis of European countries

Authors
Robaina, M; Murillo, K; Rocha, E; Villar, J;

Publication
Science of The Total Environment

Abstract

2020

Local Market for TSO and DSO Reactive Power Provision Using DSO Grid Resources

Authors
Retorta, F; Aguiar, J; Rezende, I; Villar, J; Silva, B;

Publication
Energies

Abstract
This paper proposes a near to real-time local market to provide reactive power to the transmission system operator (TSO), using the resources connected to a distribution grid managed by a distribution system operator (DSO). The TSO publishes a requested reactive power profile at the TSO-DSO interface for each time-interval of the next delivery period, so that market agents (managing resources of the distribution grid) can prepare and send their bids accordingly. DSO resources are the first to be mobilized, and the remaining residual reactive power is supplied by the reactive power flexibility offered in the local reactive market. Complex bids (with non-curtailability conditions) are supported to provide flexible ways of bidding fewer flexible assets (such as capacitor banks). An alternating current (AC) optimal power flow (OPF) is used to clear the bids by maximizing the social welfare to supply the TSO required reactive power profile, subject to the DSO grid constraints. A rolling window mechanism allows a continuous dispatching of reactive power, and the possibility of adapting assigned schedules to real time constraints. A simplified TSO-DSO cost assignment of the flexible reactive power used is proposed to share for settlement purposes.

2019

Explanatory and causal analysis of the MIBEL electricity market spot price

Authors
Goncalves, C; Ribeiro, M; Viana, J; Fernandes, R; Villar, J; Bessa, R; Correia, G; Sousa, J; Mendes, V; Nunes, AC;

Publication
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
This paper analyzes the electricity prices of the MIBEL electricity spot market with respect to a set of possible explanatory variables. Understanding the main drivers of the electricity price is a key aspect in understanding price formation and in developing forecasting models, which are essential for the selling and buying strategies of market agents. For this analysis, different techniques have been applied in this work, including standard and lasso regression models, causal analysis based on Bayesian networks and classification trees. Results from the different approaches are coherent and show strong dependency of the electricity prices with the Portuguese imported coal for lower non-dispatchable net demands, which has been progressively replaced by gas for larger non-dispatchable net demands. Hydro reservoirs and hydro production are also main explanatory variables of the electricity price for all non-dispatchable net demand levels. © 2019 IEEE.

Supervised
thesis

2018

Ramp Analysis of the Net Load Under Different Penetration Scenarios

Author
Jorge Dias de Magalhães

Institution
UP-FEUP

2018

Profitability Analysis of CCTGs under Future Scenarios of High Res and EV Penetration

Author
Francisco Martínez Rubio

Institution

2017

Modeling policymaker’s decisions in a power sector: a state-of-the-art review

Author
Salvador Doménech Martínez

Institution

2017

Energy management in smart cities

Author
Christian Francisco Calvillo Muñoz

Institution
Outra

2017

Análisis de recuperación de costes variables bajo penetración combinada de vehículo eléctrico y generación renovable

Author
Gonzalo Sánchez Contreras

Institution