The Experts below are selected from a list of 43218 Experts worldwide ranked by ideXlab platform

Eric Monmasson - One of the best experts on this subject based on the ideXlab platform.

  • design and implementation of a real time demand side management under intermittent Primary Energy Source conditions with a pv battery backup system
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper develops and implements a real time demand side management system on hardware in order to control unpredictable loads in a residential house application. The control is implemented under unreliable grid conditions with a high amount of Energy blackouts, and complements a higher predictive control layer targeting predictable loads. A PV-battery backup system is installed in order to replace the grid during regular and frequent Energy blackout periods that occur in various developing countries. The real time controller should enable or disable the operation of unpredictable devices in a reliable and fast manner according to preset priority levels applied by the user and available Energy in the system. The aim of the controller is the prevention of the occurrence of a loss of power supply while respecting the operational constraints of the installed system. The developed control is implemented on the Zebdoard, which features a ZYNQ device combining dual-core ARM Cortex-A9 processors with traditional Field Programmable Gate Array (FPGA) logic fabric. The processor is programmed using an interrupt based strategy, the inputs and outputs of the control are linked to the FPGA of the ZYNQ. The simulation and implementation results show that the developed management program is highly flexible, accurate, fast, and reliable.

  • predictive demand side management of a residential house under intermittent Primary Energy Source conditions
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper targets the process of optimizing the operation of a PV-battery backup system under intermittent grid electricity supply. A predictive scheduling layer is developed as a part of a complete load management process. The main objective of the study is to ensure a permanent power supply for a high Energy consuming residential application. The control algorithm plans the activation of predictable loads 24 h ahead through compromising between a decrease in the resulting discomfort levels and the conservation of a high autonomy of the system. The strength of the developed control lies in ensuring the complete coordination between all the components of the installation: the grid, PV panels, battery storage, and the load demand. No loss of power supply is allowed during the day and realistic and technical constraints are applied. The demand side management program is formulated as a multi-objective optimization algorithm solved using the Non-dominated Sorting Genetic Algorithm (NSGA-II) technique. A fuzzy logic decision maker is developed for an automatic trade-off process implementing the residents’ preferences. The simulation results show excellent performance and flexibility of the proposed algorithm. The benefits of the load management are proved to have a great impact on the backup installation sizing, which leads to notable reduction of its price.

  • comparison of the water heating technique s impact on the sizing of a standalone pv battery backup system assisting an intermittent Primary Energy Source
    Conference of the Industrial Electronics Society, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper is a comparative study of the effect of various water heating techniques on the sizing of a PV-battery backup system for an intermittent grid supply. The optimal water heating configuration is found based on the smallest sizing of the backup system. Four popular water heating techniques are modeled and compared; the electric water heater, hybrid solar electric water heater, boiler water heater and the hybrid solar boiler water heater. A high Energy consumption residential application is considered, realistic constraints are applied, and a detailed economic study is conducted in order to accurately quantify the advantages and consequences of each installed water heating technique.

  • optimal sizing of a residential pv battery backup for an intermittent Primary Energy Source under realistic constraints
    Energy and Buildings, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper addresses the issue of an intermittent Primary Energy Source in several developing countries. A PV-battery backup system is modeled and assessed as a replacement of the utility Energy during daily power outage periods in a residential house. This paper focuses on the sizing of the PV system. The main objective is the minimization of the overall cost of the system over a 20 year period. One prime innovation in this study is that this system operates in conjunction with the grid, allowing it to charge the battery bank along with the PV panels whenever needed. Therefore, the optimization procedure takes into account more severe conditions compared to a classic standalone PV-battery system. The optimization is conducted based on real weather data, realistic residential load profiles and power outage schedules. Technical constraints are integrated in the algorithm. Two robust optimization techniques are used for comparison and validation purposes: the Genetic Algorithm and the Particle Swarm Optimization. In addition, two different situations are considered: harsh and moderate conditions. The simulation results validate the feasibility of this installation, and prove that such systems are affordable and well suited for the studied case.

Jawad Khoury - One of the best experts on this subject based on the ideXlab platform.

  • design and implementation of a real time demand side management under intermittent Primary Energy Source conditions with a pv battery backup system
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper develops and implements a real time demand side management system on hardware in order to control unpredictable loads in a residential house application. The control is implemented under unreliable grid conditions with a high amount of Energy blackouts, and complements a higher predictive control layer targeting predictable loads. A PV-battery backup system is installed in order to replace the grid during regular and frequent Energy blackout periods that occur in various developing countries. The real time controller should enable or disable the operation of unpredictable devices in a reliable and fast manner according to preset priority levels applied by the user and available Energy in the system. The aim of the controller is the prevention of the occurrence of a loss of power supply while respecting the operational constraints of the installed system. The developed control is implemented on the Zebdoard, which features a ZYNQ device combining dual-core ARM Cortex-A9 processors with traditional Field Programmable Gate Array (FPGA) logic fabric. The processor is programmed using an interrupt based strategy, the inputs and outputs of the control are linked to the FPGA of the ZYNQ. The simulation and implementation results show that the developed management program is highly flexible, accurate, fast, and reliable.

  • Sizing and operation optimization of a hybrid photovoltaic-battery backup system assisting an intermittent Primary Energy Source for a residential application
    2016
    Co-Authors: Jawad Khoury
    Abstract:

    This thesis addresses the issue of intermittent Primary Energy Source in several developing countries and considers, in particular, the case study of Lebanon. A PV-battery backup system is proposed and assessed as a replacement of the grid Energy during daily power outage periods for a high Energy consuming residential house. The proposed system topology introduces more critical conditions and additional constraints on the operation of the system compared to standard on-grid or standalone PV systems. The main concern is to provide permanent electricity supply to the house, reduce the resulting fees, and ensure high performance and reliability of the backup system while respecting the residents’ comfort levels. This thesis aims at thoroughly assessing the suitability of the proposed backup system by focusing on various aspects of the system. First, its configuration is optimized through the development of a detailed economic study estimating the resulting fees over its 20-year lifetime. The sizing process is formulated as an optimization problem having the sole objective of minimizing the overall cost of the system. Furthermore, a detailed comparative study of various water heating techniques is conducted to the end of determining the most suitable configuration to be coupled with the proposed backup solution. Second, the thesis targets the operation optimization of the PV-battery system by implementing a Demand Side Management (DSM) program aiming at preventing the occurrence of loss of power supply to the house while maintaining high comfort levels to the inhabitants and respecting the operation constraints of the system. The control is divided into several layers in order to manage predictable and unpredictable home appliances. The strength of the developed control lies in ensuring the complete coordination between all the components of the installation: the grid, PV panels, battery storage, and the load demand. The benefits of the DSM are proven to go beyond the operation optimization of the system since they highly affect the sizing of the backup, and by extension, the overall resulting cost. The established program is optimized for the hardware implementation process by ensuring a low memory consumption and fast decision making. The developed C codes of the full DSM program are implemented on ARM Cortex-A9 processors. The simulation and implementation results show that the developed management program is highly generic, flexible, accurate, fast, and reliable.The results presented in this thesis validate that the proposed PV-Battery backup system is highly suitable to assist unreliable grids. It outperforms currently installed Diesel Generators and demonstrates a remarkable reliability especially when coupled with the developed DSM program.

  • predictive demand side management of a residential house under intermittent Primary Energy Source conditions
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper targets the process of optimizing the operation of a PV-battery backup system under intermittent grid electricity supply. A predictive scheduling layer is developed as a part of a complete load management process. The main objective of the study is to ensure a permanent power supply for a high Energy consuming residential application. The control algorithm plans the activation of predictable loads 24 h ahead through compromising between a decrease in the resulting discomfort levels and the conservation of a high autonomy of the system. The strength of the developed control lies in ensuring the complete coordination between all the components of the installation: the grid, PV panels, battery storage, and the load demand. No loss of power supply is allowed during the day and realistic and technical constraints are applied. The demand side management program is formulated as a multi-objective optimization algorithm solved using the Non-dominated Sorting Genetic Algorithm (NSGA-II) technique. A fuzzy logic decision maker is developed for an automatic trade-off process implementing the residents’ preferences. The simulation results show excellent performance and flexibility of the proposed algorithm. The benefits of the load management are proved to have a great impact on the backup installation sizing, which leads to notable reduction of its price.

  • comparison of the water heating technique s impact on the sizing of a standalone pv battery backup system assisting an intermittent Primary Energy Source
    Conference of the Industrial Electronics Society, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper is a comparative study of the effect of various water heating techniques on the sizing of a PV-battery backup system for an intermittent grid supply. The optimal water heating configuration is found based on the smallest sizing of the backup system. Four popular water heating techniques are modeled and compared; the electric water heater, hybrid solar electric water heater, boiler water heater and the hybrid solar boiler water heater. A high Energy consumption residential application is considered, realistic constraints are applied, and a detailed economic study is conducted in order to accurately quantify the advantages and consequences of each installed water heating technique.

  • optimal sizing of a residential pv battery backup for an intermittent Primary Energy Source under realistic constraints
    Energy and Buildings, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper addresses the issue of an intermittent Primary Energy Source in several developing countries. A PV-battery backup system is modeled and assessed as a replacement of the utility Energy during daily power outage periods in a residential house. This paper focuses on the sizing of the PV system. The main objective is the minimization of the overall cost of the system over a 20 year period. One prime innovation in this study is that this system operates in conjunction with the grid, allowing it to charge the battery bank along with the PV panels whenever needed. Therefore, the optimization procedure takes into account more severe conditions compared to a classic standalone PV-battery system. The optimization is conducted based on real weather data, realistic residential load profiles and power outage schedules. Technical constraints are integrated in the algorithm. Two robust optimization techniques are used for comparison and validation purposes: the Genetic Algorithm and the Particle Swarm Optimization. In addition, two different situations are considered: harsh and moderate conditions. The simulation results validate the feasibility of this installation, and prove that such systems are affordable and well suited for the studied case.

Hiroshi Saiki - One of the best experts on this subject based on the ideXlab platform.

  • anaerobic respiration using fe3 s0 and h2 in the chemolithoautotrophic bacterium acidithiobacillus ferrooxidans
    Journal of Bacteriology, 2002
    Co-Authors: Naoya Ohmura, Kazuhiro Sasaki, Norio Matsumoto, Hiroshi Saiki
    Abstract:

    The chemolithoautotrophic bacterium Acidithiobacillus ferrooxidans has been known as an aerobe that respires on iron and sulfur. Here we show that the bacterium could chemolithoautotrophically grow not only on H2/O2 under aerobic conditions but also on H2/Fe3+, H2/S0, or S0/Fe3+ under anaerobic conditions. Anaerobic respiration using Fe3+ or S0 as an electron acceptor and H2 or S0 as an electron donor serves as a Primary Energy Source of the bacterium. Anaerobic respiration based on reduction of Fe3+ induced the bacterium to synthesize significant amounts of a c-type cytochrome that was purified as an acid-stable and soluble 28-kDa monomer. The purified cytochrome in the oxidized form was reduced in the presence of the crude extract, and the reduced cytochrome was reoxidized by Fe3+. Respiration based on reduction of Fe3+ coupled to oxidation of a c-type cytochrome may be involved in the Primary mechanism of Energy production in the bacterium on anaerobic iron respiration.

  • anaerobic respiration using fe 3 s 0 and h 2 in the chemolithoautotrophic bacterium acidithiobacillus ferrooxidans
    Journal of Bacteriology, 2002
    Co-Authors: Naoya Ohmura, Kazuhiro Sasaki, Norio Matsumoto, Hiroshi Saiki
    Abstract:

    The chemolithoautotrophic bacterium Acidithiobacillus ferrooxidans has been known as an aerobe that respires on iron and sulfur. Here we show that the bacterium could chemolithoautotrophically grow not only on H2/O2 under aerobic conditions but also on H2/Fe3+, H2/S0, or S0/Fe3+ under anaerobic conditions. Anaerobic respiration using Fe3+ or S0 as an electron acceptor and H2 or S0 as an electron donor serves as a Primary Energy Source of the bacterium. Anaerobic respiration based on reduction of Fe3+ induced the bacterium to synthesize significant amounts of a c-type cytochrome that was purified as an acid-stable and soluble 28-kDa monomer. The purified cytochrome in the oxidized form was reduced in the presence of the crude extract, and the reduced cytochrome was reoxidized by Fe3+. Respiration based on reduction of Fe3+ coupled to oxidation of a c-type cytochrome may be involved in the Primary mechanism of Energy production in the bacterium on anaerobic iron respiration.

Rita Mbayed - One of the best experts on this subject based on the ideXlab platform.

  • design and implementation of a real time demand side management under intermittent Primary Energy Source conditions with a pv battery backup system
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper develops and implements a real time demand side management system on hardware in order to control unpredictable loads in a residential house application. The control is implemented under unreliable grid conditions with a high amount of Energy blackouts, and complements a higher predictive control layer targeting predictable loads. A PV-battery backup system is installed in order to replace the grid during regular and frequent Energy blackout periods that occur in various developing countries. The real time controller should enable or disable the operation of unpredictable devices in a reliable and fast manner according to preset priority levels applied by the user and available Energy in the system. The aim of the controller is the prevention of the occurrence of a loss of power supply while respecting the operational constraints of the installed system. The developed control is implemented on the Zebdoard, which features a ZYNQ device combining dual-core ARM Cortex-A9 processors with traditional Field Programmable Gate Array (FPGA) logic fabric. The processor is programmed using an interrupt based strategy, the inputs and outputs of the control are linked to the FPGA of the ZYNQ. The simulation and implementation results show that the developed management program is highly flexible, accurate, fast, and reliable.

  • predictive demand side management of a residential house under intermittent Primary Energy Source conditions
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper targets the process of optimizing the operation of a PV-battery backup system under intermittent grid electricity supply. A predictive scheduling layer is developed as a part of a complete load management process. The main objective of the study is to ensure a permanent power supply for a high Energy consuming residential application. The control algorithm plans the activation of predictable loads 24 h ahead through compromising between a decrease in the resulting discomfort levels and the conservation of a high autonomy of the system. The strength of the developed control lies in ensuring the complete coordination between all the components of the installation: the grid, PV panels, battery storage, and the load demand. No loss of power supply is allowed during the day and realistic and technical constraints are applied. The demand side management program is formulated as a multi-objective optimization algorithm solved using the Non-dominated Sorting Genetic Algorithm (NSGA-II) technique. A fuzzy logic decision maker is developed for an automatic trade-off process implementing the residents’ preferences. The simulation results show excellent performance and flexibility of the proposed algorithm. The benefits of the load management are proved to have a great impact on the backup installation sizing, which leads to notable reduction of its price.

  • comparison of the water heating technique s impact on the sizing of a standalone pv battery backup system assisting an intermittent Primary Energy Source
    Conference of the Industrial Electronics Society, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper is a comparative study of the effect of various water heating techniques on the sizing of a PV-battery backup system for an intermittent grid supply. The optimal water heating configuration is found based on the smallest sizing of the backup system. Four popular water heating techniques are modeled and compared; the electric water heater, hybrid solar electric water heater, boiler water heater and the hybrid solar boiler water heater. A high Energy consumption residential application is considered, realistic constraints are applied, and a detailed economic study is conducted in order to accurately quantify the advantages and consequences of each installed water heating technique.

  • optimal sizing of a residential pv battery backup for an intermittent Primary Energy Source under realistic constraints
    Energy and Buildings, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper addresses the issue of an intermittent Primary Energy Source in several developing countries. A PV-battery backup system is modeled and assessed as a replacement of the utility Energy during daily power outage periods in a residential house. This paper focuses on the sizing of the PV system. The main objective is the minimization of the overall cost of the system over a 20 year period. One prime innovation in this study is that this system operates in conjunction with the grid, allowing it to charge the battery bank along with the PV panels whenever needed. Therefore, the optimization procedure takes into account more severe conditions compared to a classic standalone PV-battery system. The optimization is conducted based on real weather data, realistic residential load profiles and power outage schedules. Technical constraints are integrated in the algorithm. Two robust optimization techniques are used for comparison and validation purposes: the Genetic Algorithm and the Particle Swarm Optimization. In addition, two different situations are considered: harsh and moderate conditions. The simulation results validate the feasibility of this installation, and prove that such systems are affordable and well suited for the studied case.

Georges Salloum - One of the best experts on this subject based on the ideXlab platform.

  • design and implementation of a real time demand side management under intermittent Primary Energy Source conditions with a pv battery backup system
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper develops and implements a real time demand side management system on hardware in order to control unpredictable loads in a residential house application. The control is implemented under unreliable grid conditions with a high amount of Energy blackouts, and complements a higher predictive control layer targeting predictable loads. A PV-battery backup system is installed in order to replace the grid during regular and frequent Energy blackout periods that occur in various developing countries. The real time controller should enable or disable the operation of unpredictable devices in a reliable and fast manner according to preset priority levels applied by the user and available Energy in the system. The aim of the controller is the prevention of the occurrence of a loss of power supply while respecting the operational constraints of the installed system. The developed control is implemented on the Zebdoard, which features a ZYNQ device combining dual-core ARM Cortex-A9 processors with traditional Field Programmable Gate Array (FPGA) logic fabric. The processor is programmed using an interrupt based strategy, the inputs and outputs of the control are linked to the FPGA of the ZYNQ. The simulation and implementation results show that the developed management program is highly flexible, accurate, fast, and reliable.

  • predictive demand side management of a residential house under intermittent Primary Energy Source conditions
    Energy and Buildings, 2016
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper targets the process of optimizing the operation of a PV-battery backup system under intermittent grid electricity supply. A predictive scheduling layer is developed as a part of a complete load management process. The main objective of the study is to ensure a permanent power supply for a high Energy consuming residential application. The control algorithm plans the activation of predictable loads 24 h ahead through compromising between a decrease in the resulting discomfort levels and the conservation of a high autonomy of the system. The strength of the developed control lies in ensuring the complete coordination between all the components of the installation: the grid, PV panels, battery storage, and the load demand. No loss of power supply is allowed during the day and realistic and technical constraints are applied. The demand side management program is formulated as a multi-objective optimization algorithm solved using the Non-dominated Sorting Genetic Algorithm (NSGA-II) technique. A fuzzy logic decision maker is developed for an automatic trade-off process implementing the residents’ preferences. The simulation results show excellent performance and flexibility of the proposed algorithm. The benefits of the load management are proved to have a great impact on the backup installation sizing, which leads to notable reduction of its price.

  • comparison of the water heating technique s impact on the sizing of a standalone pv battery backup system assisting an intermittent Primary Energy Source
    Conference of the Industrial Electronics Society, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    This paper is a comparative study of the effect of various water heating techniques on the sizing of a PV-battery backup system for an intermittent grid supply. The optimal water heating configuration is found based on the smallest sizing of the backup system. Four popular water heating techniques are modeled and compared; the electric water heater, hybrid solar electric water heater, boiler water heater and the hybrid solar boiler water heater. A high Energy consumption residential application is considered, realistic constraints are applied, and a detailed economic study is conducted in order to accurately quantify the advantages and consequences of each installed water heating technique.

  • optimal sizing of a residential pv battery backup for an intermittent Primary Energy Source under realistic constraints
    Energy and Buildings, 2015
    Co-Authors: Jawad Khoury, Rita Mbayed, Georges Salloum, Eric Monmasson
    Abstract:

    Abstract This paper addresses the issue of an intermittent Primary Energy Source in several developing countries. A PV-battery backup system is modeled and assessed as a replacement of the utility Energy during daily power outage periods in a residential house. This paper focuses on the sizing of the PV system. The main objective is the minimization of the overall cost of the system over a 20 year period. One prime innovation in this study is that this system operates in conjunction with the grid, allowing it to charge the battery bank along with the PV panels whenever needed. Therefore, the optimization procedure takes into account more severe conditions compared to a classic standalone PV-battery system. The optimization is conducted based on real weather data, realistic residential load profiles and power outage schedules. Technical constraints are integrated in the algorithm. Two robust optimization techniques are used for comparison and validation purposes: the Genetic Algorithm and the Particle Swarm Optimization. In addition, two different situations are considered: harsh and moderate conditions. The simulation results validate the feasibility of this installation, and prove that such systems are affordable and well suited for the studied case.