Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About
Download Photo HD

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

006
Publications

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.

2019

Profit Study of the Combined Operation of a Wind Farm and a Batery Storage System in the MIBEL electricity market

Authors
Rangel, C; Canha, L; Villar, J;

Publication
2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

Abstract
This paper estimates the profit of the joint operation of a wind farm and a li-ion battery energy storage system (BESS) in the Iberian electricity market (MIBEL). The day-ahead and first intraday energy markets, and the tertiary regulation market are considered to optimize the joint operation of both assets. A rolling window combined with a non-linear optimization model are used to design the operation strategy. The BESS lifetime (as a function of the depth of discharge) is considered in the optimization problem, and different BESS capacities and initial state of charge values are tested to determine their approximate optimum values. The model and strategy designed were tested using real data from the MIBEL market and predicted data from Sotavento wind farm. The resulting incomes were compared to the BESS investments costs to determine, for a given capacity, when the project becomes viable. © 2019 IEEE.

2019

Profitability Analysis of Spanish CCGTs under Future Scenarios of high RES and EV Penetration

Authors
Martinez, F; Villar, J;

Publication
International Conference on the European Energy Market, EEM

Abstract
Among conventional generation technologies in Spain, Combined Cycle Gas Turbines (CCGT) is the one that has experienced the largest development over the first decade of the 21st century. However, despite its promising future, multiple factors (such as the renewable generation increase, demand decline, adverse regulatory policies, etc.) have compromised their competitive position, reducing their capacity factor and undermining their financial viability. Because of those issues, electricity companies are giving up on new CCGTs investments, or even considering closing or mothballing some of their recently built plants. However, many still claim for the necessity of maintaining flexible backup technologies to cope with the variability of renewable energies, as a transition technology until energy storage or other future technologies emerge. This paper makes a profitability analysis of CCGTs in the Spanish electric power sector under different scenarios of RES penetration, carbon plants decommissioning, CO2 emission costs and EV penetration. © 2019 IEEE.

2019

Ramp analysis of the Portuguese net load under different decarbonization scenario

Authors
Magalhaes, JDD; Villar, J;

Publication
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
European energy strategy towards decarbonization, and its practical implementations in the different EU countries, will imply a continuous increase of variable (non-dispatchable) renewable energy (VRE), like wind and solar PV generation. This increasing VRE along with the progressive closing of current greenhouse gas (GHG) emitting plants, will decrease the net demand (inflexible demand minus non-dispatchable generation), reducing the amount of dispatchable generation needed to face both low VRE periods and larger net demand ramps. These problems need to be assessed to anticipate possible mismatches between net demand values and ramps, and the available resources with generation and ramping capabilities, so that the security and quality of supply is guaranteed. In case of expected risk, regulatory mechanisms, such as new market clearing rules or incentives to new flexibility sources or to new generation and storage technologies, could be required. This paper looks at the possible evolution of the Portuguese power system focusing on the net demand ramp problem. The historical and expected evolution of the hourly ramps of the net demand are analyzed considering different scenarios of high wind and solar PV penetration, according to different degrees of convergence to the EU energy strategic objectives. © 2019 IEEE.

2019

Residential der cooperative investments

Authors
De Almansa, M; Villar, J;

Publication
International Conference on the European Energy Market, EEM

Abstract
This paper aims to model collaborative behaviours related to distributed generation investments in a residential neighbourhood, by means of Cooperative Game Theory (CGT). The main objective is to analyse the economic impact of the installation of photovoltaic solar panels and batteries, and the assessment of the potential energy savings due to the cooperation among residential households. In this regard, both the purchase of needed energy from the grid and the sale of the spare energy from the households' self-generation to the grid are considered. The comparison between cooperative and non-cooperative behaviours in the investments and energy management decisions is analysed based on the Shapley value, a cost sharing method from CGT, concluding that cooperation among prosumers to share energy in a residential energy community is in general more efficient than prosumers making individual decisions. © 2019 IEEE.

Supervised
thesis

2017

Energy management in smart cities

Author
Christian Francisco Calvillo Muñoz

Institution
Outra