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Polina Bayvel - One of the best experts on this subject based on the ideXlab platform.

  • the gaussian noise model in the presence of inter channel stimulated raman scattering
    Journal of Lightwave Technology, 2018
    Co-Authors: Daniel Semrau, Robert I. Killey, Polina Bayvel
    Abstract:

    A Gaussian noise (GN) model, precisely accounting for an arbitrary frequency dependent signal Power Profile along the link, is presented. This allows accurate evaluation of the impact of inter-channel stimulated Raman scattering (ISRS) on the optical Kerr nonlinearity. Additionally, the frequency dependent fiber attenuation can be taken into account and transmission systems that use hybrid amplification schemes can be modeled, where distributed Raman amplification is partly applied over the optical spectrum. For the latter two cases, a set of coupled ordinary differential equations must be numerically solved to obtain the signal Power Profile yielding a semianalytical model. However for lumped amplification and negligible variation in fiber attenuation, a less complex and fully analytical model is presented denoted as the analytical ISRS GN model. The derived model is exact to first-order for Gaussian modulated signals and extensively validated by numerical split-step simulations. A maximum deviation of only 0.1 dB in nonlinear interference Power between simulations and the ISRS GN model is reported. The model is applied to a transmission system that occupies the entire C + L band (10 THz optical bandwidth). At optimum launch Power, changes of up to 2 dB in nonlinear interference Power due to ISRS are reported. The ISRS GN model is quantitatively compared with other models published in the literature and found to be significantly more accurate.

  • Digital back-propagation for nonlinearity mitigation in distributed Raman amplified links
    Optics Express, 2017
    Co-Authors: Gabriel Saavedra, Daniel Semrau, Robert I. Killey, Lidia Galdino, Polina Bayvel
    Abstract:

    The performance of digital back-propagation (DBP) for distributed Raman amplified optical communication systems is evaluated through analytical models and numerical simulations, and is compared with conventional lumped amplifier solutions, such as EDFA. The complexity of the DBP algorithm including the characteristic signal Power Profile of distributed Raman amplifiers is assessed. The use of full-field DBP in distributed Raman amplified systems leads to 1.3 dB additional gain with respect to systems employing lumped amplification, at the cost of only a 25% increase in complexity.

Daniel Semrau - One of the best experts on this subject based on the ideXlab platform.

  • the gaussian noise model in the presence of inter channel stimulated raman scattering
    Journal of Lightwave Technology, 2018
    Co-Authors: Daniel Semrau, Robert I. Killey, Polina Bayvel
    Abstract:

    A Gaussian noise (GN) model, precisely accounting for an arbitrary frequency dependent signal Power Profile along the link, is presented. This allows accurate evaluation of the impact of inter-channel stimulated Raman scattering (ISRS) on the optical Kerr nonlinearity. Additionally, the frequency dependent fiber attenuation can be taken into account and transmission systems that use hybrid amplification schemes can be modeled, where distributed Raman amplification is partly applied over the optical spectrum. For the latter two cases, a set of coupled ordinary differential equations must be numerically solved to obtain the signal Power Profile yielding a semianalytical model. However for lumped amplification and negligible variation in fiber attenuation, a less complex and fully analytical model is presented denoted as the analytical ISRS GN model. The derived model is exact to first-order for Gaussian modulated signals and extensively validated by numerical split-step simulations. A maximum deviation of only 0.1 dB in nonlinear interference Power between simulations and the ISRS GN model is reported. The model is applied to a transmission system that occupies the entire C + L band (10 THz optical bandwidth). At optimum launch Power, changes of up to 2 dB in nonlinear interference Power due to ISRS are reported. The ISRS GN model is quantitatively compared with other models published in the literature and found to be significantly more accurate.

  • Digital back-propagation for nonlinearity mitigation in distributed Raman amplified links
    Optics Express, 2017
    Co-Authors: Gabriel Saavedra, Daniel Semrau, Robert I. Killey, Lidia Galdino, Polina Bayvel
    Abstract:

    The performance of digital back-propagation (DBP) for distributed Raman amplified optical communication systems is evaluated through analytical models and numerical simulations, and is compared with conventional lumped amplifier solutions, such as EDFA. The complexity of the DBP algorithm including the characteristic signal Power Profile of distributed Raman amplifiers is assessed. The use of full-field DBP in distributed Raman amplified systems leads to 1.3 dB additional gain with respect to systems employing lumped amplification, at the cost of only a 25% increase in complexity.

Robert I. Killey - One of the best experts on this subject based on the ideXlab platform.

  • the gaussian noise model in the presence of inter channel stimulated raman scattering
    Journal of Lightwave Technology, 2018
    Co-Authors: Daniel Semrau, Robert I. Killey, Polina Bayvel
    Abstract:

    A Gaussian noise (GN) model, precisely accounting for an arbitrary frequency dependent signal Power Profile along the link, is presented. This allows accurate evaluation of the impact of inter-channel stimulated Raman scattering (ISRS) on the optical Kerr nonlinearity. Additionally, the frequency dependent fiber attenuation can be taken into account and transmission systems that use hybrid amplification schemes can be modeled, where distributed Raman amplification is partly applied over the optical spectrum. For the latter two cases, a set of coupled ordinary differential equations must be numerically solved to obtain the signal Power Profile yielding a semianalytical model. However for lumped amplification and negligible variation in fiber attenuation, a less complex and fully analytical model is presented denoted as the analytical ISRS GN model. The derived model is exact to first-order for Gaussian modulated signals and extensively validated by numerical split-step simulations. A maximum deviation of only 0.1 dB in nonlinear interference Power between simulations and the ISRS GN model is reported. The model is applied to a transmission system that occupies the entire C + L band (10 THz optical bandwidth). At optimum launch Power, changes of up to 2 dB in nonlinear interference Power due to ISRS are reported. The ISRS GN model is quantitatively compared with other models published in the literature and found to be significantly more accurate.

  • Digital back-propagation for nonlinearity mitigation in distributed Raman amplified links
    Optics Express, 2017
    Co-Authors: Gabriel Saavedra, Daniel Semrau, Robert I. Killey, Lidia Galdino, Polina Bayvel
    Abstract:

    The performance of digital back-propagation (DBP) for distributed Raman amplified optical communication systems is evaluated through analytical models and numerical simulations, and is compared with conventional lumped amplifier solutions, such as EDFA. The complexity of the DBP algorithm including the characteristic signal Power Profile of distributed Raman amplifiers is assessed. The use of full-field DBP in distributed Raman amplified systems leads to 1.3 dB additional gain with respect to systems employing lumped amplification, at the cost of only a 25% increase in complexity.

Luis Marroyo - One of the best experts on this subject based on the ideXlab platform.

  • low complexity energy management strategy for grid Profile smoothing of a residential grid connected microgrid using generation and demand forecasting
    Applied Energy, 2017
    Co-Authors: Diego Arcosaviles, Julio Pascual, Pablo Sanchis, Luis Marroyo, Francesc Guinjoan, Martin P Marietta
    Abstract:

    This paper presents the design of an energy management strategy based on a low complexity Fuzzy Logic Control (FLC) for grid Power Profile smoothing of a residential grid-connected microgrid including Renewable Energy Sources (RES) and battery Energy Storage System (ESS). The proposed energy management strategy uses generation and demand forecasting to anticipate the future behavior of the microgrid. Accordingly to the microgrid Power forecast error and the Battery State-of-Charge (SOC) the proposed strategy performs the suitable control of the grid Power. A simulation comparison with previous energy management strategies highlights the advantages of the proposed work minimizing fluctuations and Power peaks in the Power Profile exchanged with the grid while keeping the energy stored in the battery between secure limits. Finally, the experimental validation in a real residential microgrid implemented at Public University of Navarre (UPNa, Spain) demonstrates the proper operation of the proposed strategy achieving a smooth grid Power Profile and a battery SOC center close to the 75% of the rated battery capacity.

  • energy management strategy for a renewable based residential microgrid with generation and demand forecasting
    Applied Energy, 2015
    Co-Authors: Julio Pascual, Javier Barricarte, Pablo Sanchis, Luis Marroyo
    Abstract:

    This paper proposes an energy management strategy for a residential microgrid comprising photovoltaic (PV) panels and a small wind turbine. The microgrid is connected to the main grid, allowing for a controlled Power exchange through a battery system and its control strategy. As input data, the proposed control strategy uses the battery state of charge (SOC), the Power at each microgrid node as well as the load and renewable generation forecasts. By using forecasted data and correcting any forecasting errors according to the SOC of the battery, the strategy manages to make a better use of the battery resulting in a better grid Power Profile. The simulation of the system using a one-year data period shows that the proposed energy management strategy results in a better grid Power Profile for a given storage system when compared with other state-of-the-art strategies. Finally, the proposed strategy was experimentally validated in the microgrid built in the Renewable Energy Laboratory at the UPNa.

Pablo Sanchis - One of the best experts on this subject based on the ideXlab platform.

  • low complexity energy management strategy for grid Profile smoothing of a residential grid connected microgrid using generation and demand forecasting
    Applied Energy, 2017
    Co-Authors: Diego Arcosaviles, Julio Pascual, Pablo Sanchis, Luis Marroyo, Francesc Guinjoan, Martin P Marietta
    Abstract:

    This paper presents the design of an energy management strategy based on a low complexity Fuzzy Logic Control (FLC) for grid Power Profile smoothing of a residential grid-connected microgrid including Renewable Energy Sources (RES) and battery Energy Storage System (ESS). The proposed energy management strategy uses generation and demand forecasting to anticipate the future behavior of the microgrid. Accordingly to the microgrid Power forecast error and the Battery State-of-Charge (SOC) the proposed strategy performs the suitable control of the grid Power. A simulation comparison with previous energy management strategies highlights the advantages of the proposed work minimizing fluctuations and Power peaks in the Power Profile exchanged with the grid while keeping the energy stored in the battery between secure limits. Finally, the experimental validation in a real residential microgrid implemented at Public University of Navarre (UPNa, Spain) demonstrates the proper operation of the proposed strategy achieving a smooth grid Power Profile and a battery SOC center close to the 75% of the rated battery capacity.

  • energy management strategy for a renewable based residential microgrid with generation and demand forecasting
    Applied Energy, 2015
    Co-Authors: Julio Pascual, Javier Barricarte, Pablo Sanchis, Luis Marroyo
    Abstract:

    This paper proposes an energy management strategy for a residential microgrid comprising photovoltaic (PV) panels and a small wind turbine. The microgrid is connected to the main grid, allowing for a controlled Power exchange through a battery system and its control strategy. As input data, the proposed control strategy uses the battery state of charge (SOC), the Power at each microgrid node as well as the load and renewable generation forecasts. By using forecasted data and correcting any forecasting errors according to the SOC of the battery, the strategy manages to make a better use of the battery resulting in a better grid Power Profile. The simulation of the system using a one-year data period shows that the proposed energy management strategy results in a better grid Power Profile for a given storage system when compared with other state-of-the-art strategies. Finally, the proposed strategy was experimentally validated in the microgrid built in the Renewable Energy Laboratory at the UPNa.

  • renewable hydrogen production performance of an alkaline water electrolyzer working under emulated wind conditions
    Energy & Fuels, 2007
    Co-Authors: L M Gandia, Pablo Sanchis, Raquel Oroz, Alfredo Ursua, P M Dieguez
    Abstract:

    This work has been performed within a Research and Development contract on Hydrogen Energy granted by Acciona Biocombustibles S. A., a branch of Acciona Energia, to the Public University of Navarra and deals with the production of sustainable hydrogen from renewable primary energy sources. In this work, the results obtained in several experiments carried out with a commercial alkaline water electrolyzer of 5 kW working under the dynamic conditions typical of wind energy systems are presented. Actual wind speed data from a wind farm were considered and allowed us to establish the Power Profile that would give a wind turbine of a rated Power equivalent to that of the electrolyzer under the considered wind conditions. This Power Profile was supplied to the electrolyzer by means of a Power supply (wind emulator) designed and built by our group. The evolution of the stack voltage, efficiency, and temperature, as well as the purity of the produced hydrogen and oxygen, was monitored. The results showed that the ...