The Experts below are selected from a list of 96 Experts worldwide ranked by ideXlab platform

Abdulrahman A Alrobaian - One of the best experts on this subject based on the ideXlab platform.

  • partial load operation analysis of trigeneration subcooled compressed air energy storage system
    Journal of Cleaner Production, 2019
    Co-Authors: Ali Sulaiman Alsagri, Ahmad Arabkoohsar, Hamid Reza Rahbari, Abdulrahman A Alrobaian
    Abstract:

    Abstract Subcooled compressed air energy storage system is a trigeneration technology that has been recently introduced to the literature. In the charging mode, the system stores the surplus Power of a Renewable energy system in the form of compressed air in a cavern and generates much heat as well. In the discharging mode, when the Renewable Power Plant demands extra electricity, the system reclaims the compressed air to be expanded through a specific type of turbine and thereby generates electricity as well as a large amount of cold. At nominal load, when all the components are working at their optimal states, a high coefficient of performance of about 1.5 has been achieved for the system over a complete charging-discharging round. This paper, however, investigates thermodynamically and environmentally the performance of this technology while working at off-design conditions. For this, realistic performance curves for various components of the system are employed and the system operation is simulated for various operational conditions. The results show that the storage unit is best to work on its highest possible charging-discharging loads; otherwise, the overall efficiency would fall remarkably. The trigeneration/storage system overall performance coefficient will decrease to 1.27% and 1.05% if the operational load drops to 50% and 10%, respectively.

Lidia Roca - One of the best experts on this subject based on the ideXlab platform.

  • model validation and control strategy of a heat recovery system integrated in a Renewable hybrid Power Plant demonstrator
    Solar Energy, 2018
    Co-Authors: Javier Bonilla, Lidia Roca
    Abstract:

    Abstract The main challenge that Renewable Power Plants must tackle is the supply of stable and reliable Power. Concentrating Solar Power (CSP) Plants can efficiently store heat by means of Thermal Energy Storage (TES) systems, which make them one of the most appropriate Renewable energies for large-scale energy production. Nevertheless, they may not be able to satisfy the thermal demand of the Power Plant, especially under unfavorable meteorological conditions, due to TES system sizes being restricted by economic reasons. The HYSOL project presents an innovative hybridization configuration of CSP and biogas for a 100% Renewable Power Plant. A demonstrator of this technology was built in the scope of the HYSOL project. This paper presents the development and experimental validation and control system of the Heat Recovery System (HRS) dynamic model included in the demonstrator. An experimental campaign was performed in the real facility in order to validate the model dynamics. This model can be used for studying the system dynamics, training Plant operators, testing and validating advanced control strategies and could be applied for Fault Detection, Isolation, and Recovery (FDIR).

Cyril Voyant - One of the best experts on this subject based on the ideXlab platform.

  • hybrid Renewable Power Plant sizing graphical decision tool sensitivity analysis and applications in ajaccio and tilos
    Applied Energy, 2019
    Co-Authors: Jeanlaurent Duchaud, Gilles Notton, Alexis Fouilloy, Cyril Voyant
    Abstract:

    Abstract When sizing a Renewable energy Power Plant in a grid-connected scenario, the optimal solution depends on the energy exchange rates between the actors of the electrical network. This study presents an optimization method that can be adapted to various Power Plant configurations to obtain the best size for each component, depending on the weather and the consumption. The optimization problem is solved in two steps. A Multi-Objective Particle Swarm Optimizer gives the trade-off between the cost of the components and the amount of non-Renewable energy used, then the posttreatment takes into account the energy exchange tariffs and presents the solutions that minimize the production cost for any import and export rates. Those results can be used to evaluate the feasibility of an installation or to define the exchange tariffs with the grid regulation entity. This study also showcases the effect of the economic assumptions and of the choice of the energy management strategy on the optimal solution. The results show that the variation of the optimal production cost is limited but the component size has to be adapted accordingly. In the same way, the Energy Management Strategy used influences the Plant design without affecting significantly the production cost.

Ali Sulaiman Alsagri - One of the best experts on this subject based on the ideXlab platform.

  • partial load operation analysis of trigeneration subcooled compressed air energy storage system
    Journal of Cleaner Production, 2019
    Co-Authors: Ali Sulaiman Alsagri, Ahmad Arabkoohsar, Hamid Reza Rahbari, Abdulrahman A Alrobaian
    Abstract:

    Abstract Subcooled compressed air energy storage system is a trigeneration technology that has been recently introduced to the literature. In the charging mode, the system stores the surplus Power of a Renewable energy system in the form of compressed air in a cavern and generates much heat as well. In the discharging mode, when the Renewable Power Plant demands extra electricity, the system reclaims the compressed air to be expanded through a specific type of turbine and thereby generates electricity as well as a large amount of cold. At nominal load, when all the components are working at their optimal states, a high coefficient of performance of about 1.5 has been achieved for the system over a complete charging-discharging round. This paper, however, investigates thermodynamically and environmentally the performance of this technology while working at off-design conditions. For this, realistic performance curves for various components of the system are employed and the system operation is simulated for various operational conditions. The results show that the storage unit is best to work on its highest possible charging-discharging loads; otherwise, the overall efficiency would fall remarkably. The trigeneration/storage system overall performance coefficient will decrease to 1.27% and 1.05% if the operational load drops to 50% and 10%, respectively.

Ahmad Arabkoohsar - One of the best experts on this subject based on the ideXlab platform.

  • partial load operation analysis of trigeneration subcooled compressed air energy storage system
    Journal of Cleaner Production, 2019
    Co-Authors: Ali Sulaiman Alsagri, Ahmad Arabkoohsar, Hamid Reza Rahbari, Abdulrahman A Alrobaian
    Abstract:

    Abstract Subcooled compressed air energy storage system is a trigeneration technology that has been recently introduced to the literature. In the charging mode, the system stores the surplus Power of a Renewable energy system in the form of compressed air in a cavern and generates much heat as well. In the discharging mode, when the Renewable Power Plant demands extra electricity, the system reclaims the compressed air to be expanded through a specific type of turbine and thereby generates electricity as well as a large amount of cold. At nominal load, when all the components are working at their optimal states, a high coefficient of performance of about 1.5 has been achieved for the system over a complete charging-discharging round. This paper, however, investigates thermodynamically and environmentally the performance of this technology while working at off-design conditions. For this, realistic performance curves for various components of the system are employed and the system operation is simulated for various operational conditions. The results show that the storage unit is best to work on its highest possible charging-discharging loads; otherwise, the overall efficiency would fall remarkably. The trigeneration/storage system overall performance coefficient will decrease to 1.27% and 1.05% if the operational load drops to 50% and 10%, respectively.

  • design and optimization of a novel system for trigeneration
    Energy, 2019
    Co-Authors: Ahmad Arabkoohsar, G B Andresen
    Abstract:

    Abstract Subcooled compressed air energy storage (SCAES) is a system cogenerating heat, cooling, and Power at a high coefficient of performance. In this study, hybridization of a SCAES system with a large-scale solar-Powered absorption chiller (SPAC) is proposed. The hybrid system sustainably provides cooling and Power at high efficiency. The combined SPAC-SCAES system is appropriate for locations with large cooling demand and grid-connected Renewable Power Plants. Employing this system, the Renewable Power Plant may efficiently operate in the Power market, maximizing the financial benefits by storing its surplus Power and reclaiming the stored energy for balancing the demand and the production. In addition, a large amount of cold is produced, increasing the profitability of the system. This combined system is designed and simulated for a typical wind farm plus an absorption chiller of a hospital. Non-linear programming (NLP) is used to optimize the operation strategy of the SCAES and based on the given results; the components of the system are sized. The results show that by the combined system a massive amount of balancing Power can be produced for the grid, a reliable integration between the cold and electricity sectors is made, and the levelized cost of energy (LCOE) decreases remarkably.