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Jose L Bernalagustin - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different lead acid battery lifetime prediction models for use in simulation of stand alone photovoltaic systems
    Applied Energy, 2014
    Co-Authors: Rodolfo Dufolopez, Juan M Lujanorojas, Jose L Bernalagustin
    Abstract:

    Abstract Lifetime estimation of lead–acid batteries in stand-alone photovoltaic (PV) systems is a complex task because it depends on the operating conditions of the batteries. In many research simulations and optimisations, the estimation of battery lifetime is error-prone, thus producing values that differ substantially from the real ones. This error can indicate that the “optimal” system selected by the optimisation tool will not be optimal. In this paper, all of the components of a PV system have been considered simultaneously to simulate the behaviour of the system. One of these important components is the battery Charge Controller, which significantly affects the lifetime of batteries. The results of the simulations have allowed a comparison of the most common methods of battery lifetime prediction used by simulation and/or optimisation tools with a weighted Ah-throughput method developed a few years ago. The results show that this recent method provides more accurate lifetime values. In a simulation of a real off-grid household PV system where the real battery lifetime was 6.2 years, the weighted Ah-throughput model predicted a lifetime of 5.8 years; however, the other methods obtained lifetimes of more than 15 years. In a simulation of another PV system designed to supply the load of an alarm where the real batteries lifetime was 5.1 years, the weighted Ah-throughput model predicted a lifetime of 4.4 years; however, the other methods obtained lifetimes of more than nine years.

  • optimal sizing of small wind battery systems considering the dc bus voltage stability effect on energy capture wind speed variability and load uncertainty
    Applied Energy, 2012
    Co-Authors: Juan M Lujanorojas, Rodolfo Dufolopez, Jose L Bernalagustin
    Abstract:

    In this paper, a mathematical model for stochastic simulation and optimization of small wind energy systems is presented. This model is able to consider the operation of the Charge Controller, the coulombic efficiency during Charge and disCharge processes, the influence of temperature on the battery bank capacity, the wind speed variability, and load uncertainty. The joint effect of Charge Controller operation, ambient temperature, and coulombic efficiency is analyzed in a system installed in Zaragoza (Spain), concluding that if the analysis without considering these factors is carried out, the reliability level of the physical system could be lower than expected, and an increment of 25% in the battery bank capacity would be required to reach a reliability level of 90% in the analyzed case. Also, the effect of the wind speed variability and load uncertainty in the system reliability is analyzed.

  • optimal sizing of small wind battery systems considering the dc bus voltage stability effect on energy capture wind speed variability and load uncertainty
    Applied Energy, 2012
    Co-Authors: Juan M Lujanorojas, Rodolfo Dufolopez, Jose L Bernalagustin
    Abstract:

    Abstract In this paper, a mathematical model for stochastic simulation and optimization of small wind energy systems is presented. This model is able to consider the operation of the Charge Controller, the coulombic efficiency during Charge and disCharge processes, the influence of temperature on the battery bank capacity, the wind speed variability, and load uncertainty. The joint effect of Charge Controller operation, ambient temperature, and coulombic efficiency is analyzed in a system installed in Zaragoza (Spain), concluding that if the analysis without considering these factors is carried out, the reliability level of the physical system could be lower than expected, and an increment of 25% in the battery bank capacity would be required to reach a reliability level of 90% in the analyzed case. Also, the effect of the wind speed variability and load uncertainty in the system reliability is analyzed. Finally, the uncertainty in the battery bank lifetime and its effect on the net present cost are discussed. The results showed that, considering uncertainty of 17.5% in the battery bank lifetime calculated using the Ah throughput model, about 12% of uncertainty in the net present cost is expected. The model presented in this research could be a useful stochastic simulation and optimization tool that allows the consideration of important uncertainty factors in techno-economic analysis.

Juan M Lujanorojas - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different lead acid battery lifetime prediction models for use in simulation of stand alone photovoltaic systems
    Applied Energy, 2014
    Co-Authors: Rodolfo Dufolopez, Juan M Lujanorojas, Jose L Bernalagustin
    Abstract:

    Abstract Lifetime estimation of lead–acid batteries in stand-alone photovoltaic (PV) systems is a complex task because it depends on the operating conditions of the batteries. In many research simulations and optimisations, the estimation of battery lifetime is error-prone, thus producing values that differ substantially from the real ones. This error can indicate that the “optimal” system selected by the optimisation tool will not be optimal. In this paper, all of the components of a PV system have been considered simultaneously to simulate the behaviour of the system. One of these important components is the battery Charge Controller, which significantly affects the lifetime of batteries. The results of the simulations have allowed a comparison of the most common methods of battery lifetime prediction used by simulation and/or optimisation tools with a weighted Ah-throughput method developed a few years ago. The results show that this recent method provides more accurate lifetime values. In a simulation of a real off-grid household PV system where the real battery lifetime was 6.2 years, the weighted Ah-throughput model predicted a lifetime of 5.8 years; however, the other methods obtained lifetimes of more than 15 years. In a simulation of another PV system designed to supply the load of an alarm where the real batteries lifetime was 5.1 years, the weighted Ah-throughput model predicted a lifetime of 4.4 years; however, the other methods obtained lifetimes of more than nine years.

  • optimal sizing of small wind battery systems considering the dc bus voltage stability effect on energy capture wind speed variability and load uncertainty
    Applied Energy, 2012
    Co-Authors: Juan M Lujanorojas, Rodolfo Dufolopez, Jose L Bernalagustin
    Abstract:

    In this paper, a mathematical model for stochastic simulation and optimization of small wind energy systems is presented. This model is able to consider the operation of the Charge Controller, the coulombic efficiency during Charge and disCharge processes, the influence of temperature on the battery bank capacity, the wind speed variability, and load uncertainty. The joint effect of Charge Controller operation, ambient temperature, and coulombic efficiency is analyzed in a system installed in Zaragoza (Spain), concluding that if the analysis without considering these factors is carried out, the reliability level of the physical system could be lower than expected, and an increment of 25% in the battery bank capacity would be required to reach a reliability level of 90% in the analyzed case. Also, the effect of the wind speed variability and load uncertainty in the system reliability is analyzed.

  • optimal sizing of small wind battery systems considering the dc bus voltage stability effect on energy capture wind speed variability and load uncertainty
    Applied Energy, 2012
    Co-Authors: Juan M Lujanorojas, Rodolfo Dufolopez, Jose L Bernalagustin
    Abstract:

    Abstract In this paper, a mathematical model for stochastic simulation and optimization of small wind energy systems is presented. This model is able to consider the operation of the Charge Controller, the coulombic efficiency during Charge and disCharge processes, the influence of temperature on the battery bank capacity, the wind speed variability, and load uncertainty. The joint effect of Charge Controller operation, ambient temperature, and coulombic efficiency is analyzed in a system installed in Zaragoza (Spain), concluding that if the analysis without considering these factors is carried out, the reliability level of the physical system could be lower than expected, and an increment of 25% in the battery bank capacity would be required to reach a reliability level of 90% in the analyzed case. Also, the effect of the wind speed variability and load uncertainty in the system reliability is analyzed. Finally, the uncertainty in the battery bank lifetime and its effect on the net present cost are discussed. The results showed that, considering uncertainty of 17.5% in the battery bank lifetime calculated using the Ah throughput model, about 12% of uncertainty in the net present cost is expected. The model presented in this research could be a useful stochastic simulation and optimization tool that allows the consideration of important uncertainty factors in techno-economic analysis.

Rodolfo Dufolopez - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different lead acid battery lifetime prediction models for use in simulation of stand alone photovoltaic systems
    Applied Energy, 2014
    Co-Authors: Rodolfo Dufolopez, Juan M Lujanorojas, Jose L Bernalagustin
    Abstract:

    Abstract Lifetime estimation of lead–acid batteries in stand-alone photovoltaic (PV) systems is a complex task because it depends on the operating conditions of the batteries. In many research simulations and optimisations, the estimation of battery lifetime is error-prone, thus producing values that differ substantially from the real ones. This error can indicate that the “optimal” system selected by the optimisation tool will not be optimal. In this paper, all of the components of a PV system have been considered simultaneously to simulate the behaviour of the system. One of these important components is the battery Charge Controller, which significantly affects the lifetime of batteries. The results of the simulations have allowed a comparison of the most common methods of battery lifetime prediction used by simulation and/or optimisation tools with a weighted Ah-throughput method developed a few years ago. The results show that this recent method provides more accurate lifetime values. In a simulation of a real off-grid household PV system where the real battery lifetime was 6.2 years, the weighted Ah-throughput model predicted a lifetime of 5.8 years; however, the other methods obtained lifetimes of more than 15 years. In a simulation of another PV system designed to supply the load of an alarm where the real batteries lifetime was 5.1 years, the weighted Ah-throughput model predicted a lifetime of 4.4 years; however, the other methods obtained lifetimes of more than nine years.

  • optimal sizing of small wind battery systems considering the dc bus voltage stability effect on energy capture wind speed variability and load uncertainty
    Applied Energy, 2012
    Co-Authors: Juan M Lujanorojas, Rodolfo Dufolopez, Jose L Bernalagustin
    Abstract:

    In this paper, a mathematical model for stochastic simulation and optimization of small wind energy systems is presented. This model is able to consider the operation of the Charge Controller, the coulombic efficiency during Charge and disCharge processes, the influence of temperature on the battery bank capacity, the wind speed variability, and load uncertainty. The joint effect of Charge Controller operation, ambient temperature, and coulombic efficiency is analyzed in a system installed in Zaragoza (Spain), concluding that if the analysis without considering these factors is carried out, the reliability level of the physical system could be lower than expected, and an increment of 25% in the battery bank capacity would be required to reach a reliability level of 90% in the analyzed case. Also, the effect of the wind speed variability and load uncertainty in the system reliability is analyzed.

  • optimal sizing of small wind battery systems considering the dc bus voltage stability effect on energy capture wind speed variability and load uncertainty
    Applied Energy, 2012
    Co-Authors: Juan M Lujanorojas, Rodolfo Dufolopez, Jose L Bernalagustin
    Abstract:

    Abstract In this paper, a mathematical model for stochastic simulation and optimization of small wind energy systems is presented. This model is able to consider the operation of the Charge Controller, the coulombic efficiency during Charge and disCharge processes, the influence of temperature on the battery bank capacity, the wind speed variability, and load uncertainty. The joint effect of Charge Controller operation, ambient temperature, and coulombic efficiency is analyzed in a system installed in Zaragoza (Spain), concluding that if the analysis without considering these factors is carried out, the reliability level of the physical system could be lower than expected, and an increment of 25% in the battery bank capacity would be required to reach a reliability level of 90% in the analyzed case. Also, the effect of the wind speed variability and load uncertainty in the system reliability is analyzed. Finally, the uncertainty in the battery bank lifetime and its effect on the net present cost are discussed. The results showed that, considering uncertainty of 17.5% in the battery bank lifetime calculated using the Ah throughput model, about 12% of uncertainty in the net present cost is expected. The model presented in this research could be a useful stochastic simulation and optimization tool that allows the consideration of important uncertainty factors in techno-economic analysis.

Nowshad Amin - One of the best experts on this subject based on the ideXlab platform.

  • iot enabled high efficiency smart solar Charge Controller with maximum power point tracking design hardware implementation and performance testing
    Electronics, 2020
    Co-Authors: Mohammad Shakeri, Fazrena Azlee Hamid, Mahmuda Khatun Mishu, Jagadeesh Pasupuleti, K S Rahman, S K Tiong, Nowshad Amin
    Abstract:

    Amid growing demand for solar photovoltaic (PV) energy, the output from PV panels/cells fails to deliver maximum power to the load, due to the intermittency of ambient conditions. Therefore, utilizing maximum power point tracking (MPPT) becomes essential for PV systems. In this paper, a novel internet of things (IoT)-equipped MPPT solar Charge Controller (SCC) is designed and implemented. The proposed circuit system utilizes IoT-based sensors to send vital data to the cloud for remote monitoring and controlling purposes. The IoT platform helps the system to be monitored remotely. The PIC16F877A is used as a main Controller of the proposed MPPT-SCC besides implementing the perturb and observe (P&O) technique and a customized buck–boost converter. To validate the proposed system, both simulation and hardware implementation are carried out by the MATLAB/SIMULINK environment and laboratory set up, respectively. The proposed MPPT-SCC can handle the maximum current of 10 A at 12 V voltage. Results show that the efficiency of the proposed system reaches up to 99.74% during a month of performance testing duration.

  • MicroController based smart Charge Controller for standalone solar photovoltaic power systems
    2009 34th IEEE Photovoltaic Specialists Conference (PVSC), 2009
    Co-Authors: Nowshad Amin, Kamaruzzaman Sopian
    Abstract:

    This paper presents a cost efficient PV Charge Controller with the function to disconnect and reconnect battery and load during battery overcharging or under discharging. The proposed Charge Controller is equipped with LCD to display the temperature, battery voltage and current flow through the battery. Output of these 3 inputs are used to obtain the accurate and efficient disconnecting/ reconnecting action which is capable of protecting the battery and the load whereas LED indicator is featured to show the status of the systems. The source code for the PIC microController is written in C code which is more user friendly than using assembly language. Furthermore, this smart Charge Controller is developed to reduce the current market price of Charge Controller to an affordable level. This project deals with the design of an intelligent Charge Controller using PIC microController to control and coordinate the activity in Charge Controller.

Robert J. Veillette - One of the best experts on this subject based on the ideXlab platform.

  • a Charge Controller for linear operation of a piezoelectric stack actuator
    IEEE Transactions on Control Systems and Technology, 2005
    Co-Authors: K A Yi, Robert J. Veillette
    Abstract:

    This paper examines the position control problem of piezoelectric stack actuators and presents a method for overcoming the hysteresis nonlinearity between the applied voltage and the actuator displacement. An inverting Charge control circuit is implemented to linearize the stack actuator movement by taking advantage of the linear relationship between Charge and displacement. The Charge control feedback loop is analyzed in detail. It incorporates an operational amplifier to provide high loop gain, a high-voltage amplifier (HVA) to drive the stack actuator, and a lead compensator to ensure stability. Experiments were conducted to compare the responses of the stack actuator under voltage and Charge control. The experimental data show that the Charge control provides linear actuator operation from 1 Hz-10 Hz over approximately 35% of the actuator operating range, and from 1 Hz-20 Hz over approximately 19% of the operating range.