Hydrogen Energy Storage

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Ahmet Özarslan - One of the best experts on this subject based on the ideXlab platform.

  • large scale Hydrogen Energy Storage in salt caverns
    International Journal of Hydrogen Energy, 2012
    Co-Authors: Ahmet Özarslan
    Abstract:

    Abstract Large-scale Energy Storage methods can be used to meet Energy demand fluctuations and to integrate electricity generation from intermittent renewable wind and solar Energy farms into power grids. Pumped hydropower Energy Storage method is significantly used for grid electricity Storage requirements. Alternatives are underground Storage of compressed air and Hydrogen gas in suitable geological formations. Underground Storage of natural gas is widely used to meet both base and peak load demands of gas grids. Salt caverns for natural gas Storage can also be suitable for underground compressed Hydrogen gas Energy Storage. In this paper, large quantities underground gas Storage methods and design aspects of salt caverns are investigated. A pre-evaluation is made for a salt cavern gas Storage field in Turkey. It is concluded that a system of solar-Hydrogen and natural gas can be utilised to meet future large-scale Energy Storage requirements.

Kazem Zare - One of the best experts on this subject based on the ideXlab platform.

  • Transactive Energy management for optimal scheduling of interconnected microgrids with Hydrogen Energy Storage
    International Journal of Hydrogen Energy, 2020
    Co-Authors: Mohammadreza Daneshvar, Behnam Mohammadi-ivatloo, Kazem Zare, Somayeh Asadi
    Abstract:

    Abstract In recent years, renewable Energy sources (RESs) have attracted substantial attention due to carbon-free and cost-effective advantages that have made them one of the main sources of Energy generation in the modern structure of the power grid. This paper proposes the stochastic day-ahead scheduling model for optimal Energy management of renewable-based microgrids. In this paper, each microgrid is equipped with 100% RESs including the PV system and wind turbine for full pollutant-free Energy generation while the Hydrogen Energy Storage (HES) system is used for alleviating the intermittences of the RESs aiming to dynamically balance the Energy during a day. To model the fluctuations such as day-ahead market price in the microgrids, the autoregressive integrated moving average and fast forward selection methods are exerted for scenario production and reduction, respectively. Transactive Energy as a sustainable and reliable technique is considered for controlling and coordinating Energy sharing among the microgrids and the Energy network for dynamic Energy balancing in the deregulated environment. For Energy management in the demand-side, the price and load response schemes are presented, aiming to revise the consumers' patterns in Energy consumption in line with balancing Energy and minimizing the microgrids’ Energy cost. The effectiveness of the suggested model is validated using the modified IEEE 24-bus case study. The realistic modeling of the system based on the proposed model has led to an 8.51% increment in Energy cost.

  • Risk-constrained scheduling of a CHP-based microgrid including Hydrogen Energy Storage using robust optimization approach
    International Journal of Hydrogen Energy, 2020
    Co-Authors: Sayyad Nojavan, Alireza Akbari-dibavar, Amir Farahmand-zahed, Kazem Zare
    Abstract:

    Abstract Recently, the integration of various Energy resources, including renewable generation and combined heat and power (CHP) units in microgrids, has created the opportunity of off-grid operation with a suitable range of reliability. This paper presents an optimization model to schedule an islanded MG with various resources, including CHP, photovoltaic (PV), and boiler, as the primary Energy provision sources besides electric battery Storage, thermal Storage and Hydrogen Energy system (HES). The HES has the power-to-Hydrogen (P2H) and Hydrogen-to-power (H2P) modes, which increases the flexibility of the scheduling. The uncertainty management is the most essential task in the CHP-based MGs scheduling problem, since the power and heat productions are interrelated and can result in economic losses without enough deliberations. Hence, this paper proposes the robust optimization approach (ROA) to cope with the uncertainties associated with the PV production and electric and heat load demands. The robust counterparts are applied to the deterministic problem to create a tractable adjustable robust framework. The problem is structured as a mixed-integer linear programming (MILP) handled by the General Algebraic Modeling System (GAMS) using CPLEX solver. The results verified the effectiveness of the proposed robust counterparts in managing the associated risk. The results illustrated a conscious scheduling strategy under robust conditions. However, the more preserved decisions are taken, the higher operational cost is realized. In this regard, the increment of robustness level from the lowest value (deterministic condition) to the highest value (conservatism condition) increased the operation cost by about 43.29%.

  • Optimal Robust Energy Management of Microgrid with Fuel Cells, Hydrogen Energy Storage Units and Responsive Loads
    2020 International Conference on Smart Energy Systems and Technologies (SEST), 2020
    Co-Authors: Alireza Akbari-dibavar, Mohammadreza Daneshvar, Behnam Mohammadi-ivatloo, Kazem Zare, Amjad Anvari-moghaddam
    Abstract:

    To provide net-zero emission conditions for the power grid, this paper aims to provide a coordinated operation for the integrated fuel cell and Hydrogen Storage systems. Given the sustainability feature of the micro power grid system (MPGS) in engaging different types of distributed Energy resources, wind turbines and PV panels are used for clean Energy production in the MPGS. Moreover, the battery Energy Storage system is intended for the appropriate usage of renewable Energy resources (RERs) outputs. In order to model the stochastic behaviors of the uncertain parameters, the robust optimization approach is applied in the deregulated environment. Indeed, this method is used to consider the worst state of the uncertain parameters’ occurrence with the aim of providing robust conditions in the system. Also, the time-based demand response program is developed for improving the flexibility of the MPGS with a high contribution of the RERs. In this study, the modified IEEE 21-bus test system is selected for validating the studied system. The simulation results prove the effectiveness of the proposed model in optimal Energy management of the power grid.

  • Multi-Objective Optimization Framework for Electricity and Natural Gas Energy Hubs Under Hydrogen Storage System and Demand Response Program
    Operation Planning and Analysis of Energy Storage Systems in Smart Energy Hubs, 2018
    Co-Authors: Majid Majidi, Sayyad Nojavan, Kazem Zare
    Abstract:

    Energy hub is a new concept in the field of Energy systems. Using multiple Energy carriers as their inputs, these systems are capable of supplying various kinds of Energy demands which seems to be interesting for system operators in the future. Different renewable and non-renewable generation units can be incorporated in gas and electricity Energy hub systems to provide sufficient Energy for supplying different types of loads. Primary fuel consumed by the units inside hub system is usually natural gas which is procured from gas network. In addition to distributed generation units in the hub system, upper network is also available to provide a reliable power to the electrical load. As expressed above, different Energy carriers are involved in the hub Energy systems. So, utilization of Energy Storage system seems to be vital. One of the Energy Storage systems that can be integrated in the future hub Energy systems is Hydrogen Energy Storage system (HSS). In this chapter, performance of hub Energy system has been investigated from economic and environmental viewpoints in the presence of Hydrogen Energy Storage system and demand response program (DRP). Four case studies have been evaluated in a sample hub Energy system and the results are analyzed for comparison.

S P Malyshenko - One of the best experts on this subject based on the ideXlab platform.

Xinhua Wan - One of the best experts on this subject based on the ideXlab platform.

  • A wind-Hydrogen Energy Storage system model for massive wind Energy curtailment
    International Journal of Hydrogen Energy, 2014
    Co-Authors: Guotao Zhang, Xinhua Wan
    Abstract:

    Abstract With wind Energy penetration rate increasing, wind Energy curtailment turns severe in some wind farms nowadays and new wind farm construction trends to aggregate this situation. Therefore the need for massive Energy Storage technology such as “Power to gas” is growing. In this study, a model of integrating curtailed wind Energy with Hydrogen Energy Storage is established based on real time data in term of 10 min avg. throughout a whole year in a wind farm. Two wind/Hydrogen production scenarios via water electrolysis are given and the influence exerted on payback period by electrolyser power and Hydrogen price is talked in tandem as well as the model validity is specified in the conclusion section. Our results further stress the importance of Hydrogen Energy Storage technology on addressing wind Energy curtailment and disclose some regularities from an economical perspective.

Olivier Bethoux - One of the best experts on this subject based on the ideXlab platform.

  • Hydrogen Energy Storage: New Techno-Economic Emergence Solution Analysis
    Energy Procedia, 2015
    Co-Authors: Mohamed Becherif, K. Cabaret, Nicoletta Simoncini, H S Ramadan, F. Picard, Olivier Bethoux
    Abstract:

    The integration of various renewable Energy sources as well as the liberalization of electricity markets are established facts in modern electrical power systems. The increased share of renewable sources within power systems intensifies the supply variability and intermittency. Therefore, Energy Storage is deemed as one of the solutions for stabilizing the supply of electricity to maintain generation-demand balance and to guarantee uninterrupted supply of Energy to users. In the context of sustainable development and Energy resources depletion, the question of the growth of renewable Energy electricity production is highly linked to the ability to propose new and adapted Energy Storage solutions. The purpose of this multidisciplinary paper is to highlight the new Hydrogen production and Storage technology, its efficiency and the impact of the policy context on its development. A comprehensive techno/socio/economic study of long term Hydrogen based Storage systems in electrical networks is addressed. The European policy concerning the different Energy Storage systems and Hydrogen production is explicitly discussed. The state of the art of the techno-economic features of the Hydrogen production and Storage is introduced. Using Matlab-Simulink for a power system of rated 70 kW generator, the excess produced Hydrogen during high generation periods or low demand can be sold either directly to the grid owners or as filled Hydrogen bottles. The affordable use of Hydrogen-based technologies for long term electricity Storage is verified.