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UrsĂșa Rubio, Alfredo

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UrsĂșa Rubio

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Alfredo

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Ingeniería Eléctrica, Electrónica y de Comunicación

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ISC. Institute of Smart Cities

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0000-0001-6240-8659

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3245

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Now showing 1 - 10 of 24
  • PublicationOpen Access
    Influence of the aging model of lithium-ion batteries on the management of PV self-consumption systems
    (IEEE, 2018) Berrueta Irigoyen, Alberto; Pascual Miqueleiz, Julio MarĂ­a; San MartĂ­n Biurrun, Idoia; Sanchis GĂșrpide, Pablo; UrsĂșa Rubio, Alfredo; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; IngenierĂ­a ElĂ©ctrica, ElectrĂłnica y de ComunicaciĂłn; Gobierno de Navarra / Nafarroako Gobernua, PI038 INTEGRA-RENOVABLES
    Lithium-ion batteries are gaining importance for a variety of applications due to their improving characteristics and decreasing price. An accurate knowledge of their aging is required for a successful use of these ESSs. The vast number of models that has been proposed to predict these phenomena raise doubts about the suitability of a model for a particular battery application. The performance of three models published for a Sanyo 18650 cylindrical cell in a self-consumption system are compared in this work. Measured photovoltaic production and home consumption with a sampling frequency of 15 minutes are used for this comparison. The different aging predictions calculated by these three models are analyzed, compared and discussed. These comparison is particularized for two management strategies. The first of them maximizes the self-consumption PV energy, while the second reduces the maximum power peak demanded from the grid.
  • PublicationOpen Access
    Comparison of State-of-Charge estimation methods for stationary Lithium-ion batteries
    (IEEE, 2016) Berrueta Irigoyen, Alberto; San MartĂ­n Biurrun, Idoia; Sanchis GĂșrpide, Pablo; UrsĂșa Rubio, Alfredo; IngenierĂ­a ElĂ©ctrica y ElectrĂłnica; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC
    An accurate monitoring of the State of Charge (SoC) is mandatory for an efficient management of a Lithium-ion battery. Batteries of stationary systems barely have long resting periods when the cumulative errors can be reset. These special requirements make a robust and accurate SoC estimation algorithm necessary. A real stationary system including an experimental microgrid with renewable energy generation, home consumption and a 5.3 kWh Li-ion storage system is analyzed in this paper. Three representative SoC monitoring algorithms are applied and compared in terms of accuracy and robustness to battery aging and current measurement offset. A closed-loop method consisting of an adaptive filter and a state observer achieves best results while having a reasonable computational complexity.
  • PublicationOpen Access
    Electro-thermal modelling of a supercapacitor and experimental validation
    (Elsevier, 2014) Berrueta Irigoyen, Alberto; San MartĂ­n Biurrun, Idoia; HernĂĄndez, Andoni; UrsĂșa Rubio, Alfredo; Sanchis GĂșrpide, Pablo; IngenierĂ­a ElĂ©ctrica y ElectrĂłnica; Ingeniaritza Elektrikoa eta Elektronikoa; Gobierno de Navarra / Nafarroako Gobernua
    This paper reports on the electro-thermal modelling of a Maxwell supercapacitor (SC), model BMOD0083 with a rated capacitance of 83 F and rated voltage of 48 V. One electrical equivalent circuit was used to model the electrical behaviour whilst another served to simulate the thermal behaviour. The models were designed to predict the SC operating voltage and temperature, by taking the electric current and ambient temperature as input variables. A five-stage iterative method, applied to three experiments, served to obtain the parameter values for each model. The models were implemented in MATLABSimulink , where they interacted to reciprocally provide information. These models were then validated through a number of tests, subjecting the SC to different current and frequency profiles. These tests included the validation of a bank of supercapacitors integrated into an electric microgrid, in a real operating environment. Satisfactory results were obtained from the electric and thermal models, with RMSE values of less than 0.65 V in all validations.
  • PublicationOpen Access
    High frequency power transformers with foil windings: maximum interleaving and optimal design
    (IEEE, 2015) Barrios RĂ­podas, Ernesto; Urtasun Erburu, Andoni; UrsĂșa Rubio, Alfredo; Marroyo Palomo, Luis; Sanchis GĂșrpide, Pablo; IngenierĂ­a ElĂ©ctrica y ElectrĂłnica; Ingeniaritza Elektrikoa eta Elektronikoa; Universidad PĂșblica de Navarra / Nafarroako Unibertsitate Publikoa
    Foil conductors and primary and secondary interleaving are normally used to minimize winding losses in high frequency transformers used for high-current power applications. However, winding interleaving complicates the transformer assembly, since taps are required to connect the winding sections, and also complicates the transformer design, since it introduces a new tradeoff between minimizing losses and reducing the construction difficulty. This paper presents a novel interleaving technique, named maximum interleaving, that makes it possible to minimize the winding losses as well as the construction difficulty. An analytical design methodology is also proposed in order to obtain free cooled transformers with a high efficiency, low volume and, therefore, a high power density. For the purpose of evaluating the advantages of the proposed maximum interleaving technique, the methodology is applied to design a transformer positioned in the 5 kW 50 kHz intermediate high frequency resonant stage of a commercial PV inverter. The proposed design achieves a transformer power density of 28 W/cm3 with an efficiency of 99.8%. Finally, a prototype of the maximum-interleaved transformer is assembled and validated satisfactorily through experimental tests.
  • PublicationOpen Access
    A comprehensive model for lithium-ion batteries: from the physical principles to an electrical model
    (Elsevier, 2018) Berrueta Irigoyen, Alberto; Urtasun Erburu, Andoni; UrsĂșa Rubio, Alfredo; Sanchis GĂșrpide, Pablo; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC; IngenierĂ­a ElĂ©ctrica y ElectrĂłnica; Gobierno de Navarra / Nafarroako Gobernua, PI038 INTEGRA-RENOVABLES
    The growing interest in e-mobility and the increasing installation of renewable energy-based systems are leading to rapid improvements in lithium-ion batteries. In this context, battery manufacturers and engineers require advanced models in order to study battery performance accurately. A number of Li-ion battery models are based on the representation of physical phenomena by electrochemical equations. Although providing detailed physics-based information, these models cannot take into account all the phenomena for a whole battery, given the high complexity of the equations. Other models are based on equivalent circuits and are easier to design and use. However, they fail to relate these circuit parameters to physical properties. In order to take the best of both modeling techniques, we propose an equivalent circuit model which keeps a straight correlation between its parameters and the battery electrochemical principles. Consequently, this model has the required simplicity to be used in the simulation of a whole battery, while providing the depth of detail needed to identify physical phenomena. Moreover, due to its high accuracy, it can be used in a wide range of environments, as shown in the experimental validations carried out in the final section of this paper.
  • PublicationOpen Access
    Critical comparison of energy management algorithms for lithium-ion batteries in renewable power plants
    (IEEE, 2019) Berrueta Irigoyen, Alberto; Soto Cabria, AdriĂĄn; GarcĂ­a Solano, Miguel; Parra Laita, ĂĂ±igo de la; Sanchis GĂșrpide, Pablo; UrsĂșa Rubio, Alfredo; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; IngenierĂ­a ElĂ©ctrica, ElectrĂłnica y de ComunicaciĂłn; Universidad PĂșblica de Navarra / Nafarroako Unibertsitate Publikoa
    Lithium-ion batteries are gaining importance for a variety of applications due to their price decrease and characteristics improvement. A good energy management strategy is required in order to increase the profitability of an energy system using a Li-ion battery for storage. The vast number of management algorithms that has been proposed to optimize the achieved profit, with diverse computational power requirements and using models with different complexity, raise doubts about the suitability of an algorithm and the required computation power for a particular application. The performance of three energy management algorithms based on linear, quadratic, and dynamic programming are compared in this work. A realistic scenario of a medium-sized PV plant with a constraint of peak shaving is used for this comparison. The results achieved by the three algorithms are compared and the grounds of the differences are analyzed. Among the three compared algorithms, the quadratic one seems to be the most suitable for renewableenergy applications, given the undue simplification of the battery aging required by the linear algorithm and the discretization and computational power required by a dynamic algorithm.
  • PublicationOpen Access
    Influence of renewable power fluctuations on the lifetime prediction of lithium-ion batteries in a microgrid environment
    (IEEE, 2019) Soto Cabria, AdriĂĄn; Berrueta Irigoyen, Alberto; Sanchis GĂșrpide, Pablo; UrsĂșa Rubio, Alfredo; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; IngenierĂ­a ElĂ©ctrica, ElectrĂłnica y de ComunicaciĂłn; Gobierno de Navarra / Nafarroako Gobernua
    This contribution analyses lifetime estimation errors due to the effect of power fluctuations in lithium-ion batteries connected to microgrids when different time steps are used for the calculations. Usually, not every second data are available or the computational cost is excessively high. Those facts result in the use of larger time steps. However, the increase of the time steps may turn out in too optimistic predictions. Data from a real microgrid make it possible to optimize calculation times while keeping low errors. The results show that when 1 minute time step is set, the computation time is reduced by 14.4 times while the lifetime overstatement is only 3.5-5.2% higher, depending on the aging model.
  • PublicationOpen Access
    Characterization and capacity dispersion of lithium-ion second-life batteries from electric vehicles
    (IEEE, 2019) Braco Sola, Elisa; San MartĂ­n Biurrun, Idoia; Sanchis GĂșrpide, Pablo; UrsĂșa Rubio, Alfredo; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; IngenierĂ­a ElĂ©ctrica, ElectrĂłnica y de ComunicaciĂłn; Gobierno de Navarra / Nafarroako Gobernua
    Nowadays, electric vehicle batteries reutilization is considered such as a feasible alternative to recycling, as it allows to benefit from their remaining energy and to enlarge their lifetime. Stationary applications as self-consumption or isolated systems support are examples of possible second life uses for these batteries. However, the modules that compose these batteries have very heterogeneous properties, and therefore condition their performance. This paper aims to characterize and analyze the existing capacity dispersion of Nissan Leaf modules that have reached the end of their lifetime on their original application and of new modules of this Electric Vehicle, in order to establish a comparison between them.
  • PublicationOpen Access
    Hydrogen-based energy storage for a distributed generation system
    (Spanish Hydrogen Association, 2016) San MartĂ­n Biurrun, Idoia; Berrueta Irigoyen, Alberto; UrsĂșa Rubio, Alfredo; Sanchis GĂșrpide, Pablo; IngenierĂ­a ElĂ©ctrica, ElectrĂłnica y de ComunicaciĂłn; Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza; Institute of Smart Cities - ISC
    One of the most typical distributed generation systems are electrical microgrid, which consist on small electrical grids, generally connected to the main grid, with a decentralized management structure. Electrical microgrids allow higher renewable energy integration in the grid, achieving a cost decrease and improving the grid quality [1]. These mi- crogrids incorporate renewable generation systems and energy consumers. Moreover, they have storage systems to balance generation and consumption as well as the exchanged power with the main grid. Traditionally, lead-acid batter- ies have been used in microgrids. However, these batteries have some drawbacks, being the most important its poor performance in partial state of charge, which is critical for a microgrid. A suitable option for the storage system is hy- drogen technology. These systems have high energy density, which makes the storage system able to assume seasonal variability of renewable resources. This paper proposes a sizing methodology for storage systems based on hydrogen for grid-tied electrical microgrids. This methodology optimizes the relationship between the storage system size and the consumption of grid power.
  • PublicationOpen Access
    Static and dynamic characterization of a supercapacitor
    (2014) Berrueta Irigoyen, Alberto; San MartĂ­n Biurrun, Idoia; UrsĂșa Rubio, Alfredo; Sanchis GĂșrpide, Pablo; IngenierĂ­a ElĂ©ctrica y ElectrĂłnica; Ingeniaritza Elektrikoa eta Elektronikoa
    Supercapacitors (SCs) have recently received a major boost as a result of the development of multiple applications, such as the electric vehicle and electric microgrids. Storage systems consisting of SCs combined with batteries or fuel cells have been proposed in multiple applications. Since SCs store energy as an electric field, they are able to efficiently manage high power and high frequency charge‐discharge cycles. This ability to handle high power in a wide frequency range grants them a wide advantage against other energy‐storage technologies. A static and dynamic characterization of the Maxwell SC BMOD0083 has been accomplished in this study.