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Sobre

Sobre

Nascido em 1967 em Madrid, José Villar é investigador sénior do Centro de Sistemas de Energia do INESC TEC desde 2017, sendo atualmente responsável pela área de Mercados de Eletricidade que se dedica à modelação e regulação dos mercados de eletricidade num contexto de descarbonização e descentralização do sistema energético. Doutorado pela "Escuela Técnica Superior de Ingenieria-ICAI" da "Universidad Pontificia Comillas" (Madrid) em 1997, foi membro do "Instituto de Investigación Tecnológica -IIT" da mesma universidade e subdiretor de 2004 a 2016, e Professor Associado até 2017 na mesma universidade. Participou em mais de 80 projectos de investigação com a indústria e as administrações, e foi co-autor de mais de 140 artigos de investigação em revistas e conferências internacionais. As suas áreas de interesse centram-se na modelização e regulação dos mercados de electricidade, na integração de fontes de energia renováveis e na descentralização do sistema energético.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    José Villar
  • Cargo

    Responsável de Área
  • Desde

    01 setembro 2016
029
Publicações

2025

Understanding wind Energy Economic externalities impacts: A systematic literature review

Autores
Ramalho, E; Lima, F; López-Maciel, M; Madaleno, M; Villar, J; Dias, MF; Botelho, A; Meireles, M; Robaina, M;

Publicação
RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Abstract
Electricity generation from wind energy is one of the main drivers of decarbonization in energy systems. However, installing wind farm facilities may have beneficial and harmful impacts on the habitat of living beings. This study reviews the literature based on economic analysis to identify the main externalities related to the installation of wind farms and the economic methodologies used to assess these externalities, filling an existent literature gap. A systematic literature review followed the Preferred Reporting Items on Systematic Reviews and Meta-analysis standards. A total of 33 studies were identified, most of them carried out in Europe. The studies cover 24 years, between 1998 and 2022. The externalities associated with wind electricity generation are classified into three categories: the impact on well-being, the impact of wind turbines, and the impacts of avoided externalities. Most studies (24 out of 33) determine economic values by stated preference methods through choice experiments, discrete choice experiments, and contingent valuation. Revealed preference methods were identified in 5 studies using hedonic pricing and travel cost techniques. The challenges and limitations of this analysis in terms of externalities identification and their assessment are also discussed, concluding that additional updated review studies are needed since the latest ones were published in 2016 and 2017. Moreover, it gives insights to policymakers and academics on a more complete approach they can use to evaluate the impacts of decarbonization, which, apart from the technological view, also considers and estimates the socio-economic and environmental perspectives.

2025

Self-consumption and energy communities

Autores
Jose Villar; João Mello;

Publicação
Towards Future Smart Power Systems with High Penetration of Renewables

Abstract

2025

Optimal Investment and Sharing Decisions in Renewable Energy Communities with Multiple Investing Members

Autores
Carvalho, I; Sousa, J; Villar, J; Lagarto, J; Viveiros, C; Barata, F;

Publicação
Energies

Abstract
The Renewable Energy Communities (RECs) and self-consumption frameworks defined in Directive (EU) 2023/2413 and Directive (EU) 2024/1711 are currently being integrated into national regulations across EU member states, adapting legislation to incorporate these new entities. These regulations establish key principles for individual and collective self-consumption, outlining operational rules such as proximity constraints, electricity sharing mechanisms, surplus electricity management, grid tariffs, and various organizational aspects, including asset sizing, licensing, metering, data exchange, and role definitions. This study introduces a model tailored to optimize investment and energy-sharing decisions within RECs, enabling multiple members to invest in solar photovoltaic (PV) and wind generation assets. The model determines the optimal generation capacity each REC member should install for each technology and calculates the energy shared between members in each period, considering site-specific constraints on renewable deployment. A case study with a four-member REC is used to showcase the model’s functionality, with simulation results underscoring the benefits of CSC over ISC. © 2025 by the authors.

2024

The Role of Batteries in Maximizing Green Hydrogen Production with Power Flow Tracing

Autores
Dudkina E.; Villar J.; Bessa R.J.; Crisostomi E.;

Publicação
4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings

Abstract
Hydrogen is currently getting more and more attention in the European climate strategy as a promising enabling technology to decarbonize industry, transport sector and to provide a long-term, high-capacity energy storage solution. However, to truly contribute to the reduction of CO2 emissions, hydrogen must be produced respecting a principle of additionality, to ensure that it is produced using renewable energy sources and that its production does not decrease the green energy supplied to other loads. This study tracks the share of renewables generation in the energy mix used to produce hydrogen by applying a power flow tracing technique integrated with an optimal power flow analysis. This method allows the minimization of the system operation costs, while maximizing the green hydrogen production and considering the additionality principle. The system cost function is also modified to include the sizing and allocation of conventional batteries in the grid, and assess their ability to further increase the share of green energy in hydrogen production.

2024

Energy allocation and settlement in collective self-consumption

Autores
Mello, J; Rodrigues, L; Villar, J; Saraiva, J;

Publicação
2024 20TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM 2024

Abstract
Energy allocation rules are one of the core aspects of collective self-consumption (CSC) regulations. It allows final consumers to share their surplus generation with other CSC members, while keeping their full rights as consumers, i.e., maintaining a supply contract with the retailers of their choice. Some European Union member states regulations use allocation coefficients so that local allocations are integrated with wholesale settlement and directly affect the retailers' billing. Several AC methods have been proposed so far, each one adapted to distribution system operators' settlement procedures with specific rules that can impact the benefits that each CSC member obtain. This paper analyses, assesses and compares two relevant AC methods, namely pre-delivery fixed AC and post-delivery dynamic AC, by developing a settlement formulation for a community with members with flexible assets and different opportunity costs. AC policy recommendations based on findings are provided.

Teses
supervisionadas

2023

Local Electricity Market Simulator for Energy Communities

Autor
Pedro Henrique de Souza Guimarães

Instituição

2023

Modelling the Italian Electricity Market in CEVESA Market Model

Autor
Manuel Molina González

Instituição

2023

Local Electricity Market Simulator for Energy Communities

Autor
João Miguel da Costa Pinho

Instituição

2023

Comportamiento del Auto-consumidor de electricidad e impacto en el mercado eléctrico

Autor
Manuel Molina González

Instituição

2023

Comunidades de Energia Renovável: Decisão ótima de investimento em energia solar fotovoltaica/eólica e partilha eficiente de eletricidade verde entre membros

Autor
Inês Pequito Marques Carvalho

Instituição