Ricardo Bessa

Ricardo Bessa

Porto, Porto, Portugal
5 mil seguidores + de 500 conexões

Sobre

Ricardo Bessa received his Licenciado (five years) degree from the Faculty of Engineering…

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Atividades

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Experiência

Publicações

Cursos

  • Science and Engineering Entrepreneurship, Workshop Learning by Doing (Erik Sander, Director of Industry Programs, University of Florida College of Engineering)

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Projetos

  • evolvDSO (FP7 project)

    - o momento

    With the growing relevance of distributed renewable energy sources (DRES) in the generation mix and the increasingly pro-active demand for electricity, power systems and their mode of operation need to evolve. evolvDSO will define future roles of distribution system operators (DSOs) on the basis of scenarios which will be driven by different DRES penetration levels, various degrees of technological progress, and differing customer acceptance patterns.
    The evolvDSO sortium addresses the main…

    With the growing relevance of distributed renewable energy sources (DRES) in the generation mix and the increasingly pro-active demand for electricity, power systems and their mode of operation need to evolve. evolvDSO will define future roles of distribution system operators (DSOs) on the basis of scenarios which will be driven by different DRES penetration levels, various degrees of technological progress, and differing customer acceptance patterns.
    The evolvDSO sortium addresses the main research and technology gaps that need to be solved for DSOs to efficiently fulfil their emerging and future roles in the European electricity system. The new tools and methods will encompass a wide array of DSO activities related to planning, operational scheduling, real-time operations and maintenance. Selected methods and tools developed during the project will be validated in computer simulations and real-life testbeds to maximise their deployability, scalability and replicability. Beyond this holistic, top-down approach, evolvDSO is unique in that it brings together the key actors of the electricity value chain that are at the forefront of smart grid development, and with a clear common view on what is needed for further DRES integration in Europe. The sortium sists of 16 partners including DSOs, TSOs, renowned research institutions and new market players that provide unique expertise to achieve the stated objectives.
    evolvDSO will tribute to the transition to a more sustainable European energy system by maintaining and increasing the security and reliability of distribution grids facilitating the increased feed-in of DRES. The results of evolvDSO will drive the implementation of the EEGI roadmap and ultimately provide a significant impetus for reaching EU climate targets. The project will establish strong links to the realization of smart cities, thus tributing to the EC initiative “Smart Cities and Communities”.

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  • ARGUS

    - o momento

    To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations. Argonne is the project lead, with support from the Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal. On the industry side, Argonne is collaborating with the Midwest Independent System Operator and…

    To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations. Argonne is the project lead, with support from the Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal. On the industry side, Argonne is collaborating with the Midwest Independent System Operator and Horizon Wind Energy LLC. The project is funded by the U.S. Department of Energy’s Wind and Water Power Program.

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  • ANEMOS.plus

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    The ANEMOS.plus project aims at the optimal management of electricity grids with large-scale wind power generation. For this purpose, the project develops new intelligent management tools for addressing the variability of wind power. Emphasis is given on the integration of wind power forecasts and related uncertainty in power system key management functions. The project demonstrates the applicability of such prediction tools at an operational level both for managing wind penetration and for…

    The ANEMOS.plus project aims at the optimal management of electricity grids with large-scale wind power generation. For this purpose, the project develops new intelligent management tools for addressing the variability of wind power. Emphasis is given on the integration of wind power forecasts and related uncertainty in power system key management functions. The project demonstrates the applicability of such prediction tools at an operational level both for managing wind penetration and for trading wind generation in electricity markets.

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