Relevant bibliographies by topics / Hybrid storage systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hybrid storage systems'

Author: Grafiati
Published: 2 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Hybrid storage systems"

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Yolchuyev, Agil, and Janos Levendovszky. "Data Chunks Placement Optimization for Hybrid Storage Systems." Future Internet 13, no. 7 (2021): 181. http://dx.doi.org/10.3390/fi13070181.

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“Hybrid Cloud Storage” (HCS) is a widely adopted framework that combines the functionality of public and private cloud storage models to provide storage services. This kind of storage is especially ideal for organizations that seek to reduce the cost of their storage infrastructure with the use of “Public Cloud Storage” as a backend to on-premises primary storage. Despite the higher performance, the hybrid cloud has latency issues, related to the distance and bandwidth of the public storage, which may cause a significant drop in the performance of the storage systems during data transfer. This issue can become a major problem when one or more private storage nodes fail. In this paper, we propose a new framework for optimizing the data uploading process that is currently used with hybrid cloud storage systems. The optimization is concerned with spreading the data over the multiple storages in the HCS system according to some predefined objective functions. Furthermore, we also used Network Coding technics for minimizing data transfer latency between the receiver (private storages) and transmitter nodes.
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Prajapati, Keyur Y., Dr H. S. Patel Dr. H. S. Patel, and Prof A. R. Darji Prof. A. R. Darji. "Analysis of Hybrid Staging Systems for Elevated Storage Reservoir." Paripex - Indian Journal Of Research 3, no. 6 (2012): 71–76. http://dx.doi.org/10.15373/22501991/june2014/23.

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Prajapati, Keyur Y., Dr H. S. Patel Dr. H. S. Patel, and Prof A. R. Darji Prof. A. R. Darji. "Economical Aspects of Hybrid Staging Systems for Elevated Storage Reservoir." Global Journal For Research Analysis 3, no. 7 (2012): 109–13. http://dx.doi.org/10.15373/22778160/july2014/37.

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Urooj, Ahtisham, and Ali Nasir. "Review of Hybrid Energy Storage Systems for Hybrid Electric Vehicles." World Electric Vehicle Journal 15, no. 8 (2024): 342. http://dx.doi.org/10.3390/wevj15080342.

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Energy storage systems play a crucial role in the overall performance of hybrid electric vehicles. Therefore, the state of the art in energy storage systems for hybrid electric vehicles is discussed in this paper along with appropriate background information for facilitating future research in this domain. Specifically, we compare key parameters such as cost, power density, energy density, cycle life, and response time for various energy storage systems. For energy storage systems employing ultra capacitors, we present characteristics such as cell voltage, cycle life, power density, and energy density. Furthermore, we discuss and evaluate the interconnection topologies for existing energy storage systems. We also discuss the hybrid battery–flywheel energy storage system as well as the mathematical modeling of the battery–ultracapacitor energy storage system. Toward the end, we discuss energy efficient powertrain for hybrid electric vehicles.
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Liu, Xin, and Kenneth Salem. "Hybrid storage management for database systems." Proceedings of the VLDB Endowment 6, no. 8 (2013): 541–52. http://dx.doi.org/10.14778/2536354.2536355.

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Lysetskyi, Yu M., and S. V. Kozachenko. "Software-defined data storage systems." Mathematical machines and systems 1 (2021): 17–23. http://dx.doi.org/10.34121/1028-9763-2021-1-17-23.

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Every year the amount of generated data grows exponentially which entails an increase in both the number and capacity of data storage systems. The highest capacity is required for data storage systems that are used to store backups and archives, file storages with shared access, testing and development environments, virtual machine storages, corporate or public web services. To solve such tasks, nowadays manufacturers offer three types of storage systems: block and file storages which have already become a standard used for implementing IT infrastructures, and software-defined storage systems. They allow to create data storages on non-specialized equipment, such as a group of x86-64 server nodes managed by general-purpose operating systems. The main feature of software-defined data storages is the transfer of storage functions from the hardware level to the software level where these storage functions are defined not by physical features of the hardware but by the software selected for specific tasks solving. Today there are three main singled out technologies characterized by scalable architecture that allow to in-crease efficiency and storage volume through adding new nodes to a single pool: Ceph, DELL EMC VxFlex OS, HP StoreVirtual VSA. Software-defined data storages have the following advantages: fault tolerance, efficiency, flexibility and economy. Utilization of software-defined storages allows to increase efficiency of IT infrastructure and reduce its maintenance costs; to build a hybrid infrastructure that would allow to use internal and external cloud resources; to increase efficiency of both services and us-ers by providing reliable connection by using the most convenient devices; to build a portal as a single point of services and resources control.
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Aslam, Muhammad Usman, Nusrat Subah Binte Shakhawat, Rakibuzzaman Shah, Nima Amjady, Md Sazal Miah, and B. M. Ruhul Amin. "Hybrid Energy Storage Modeling and Control for Power System Operation Studies: A Survey." Energies 17, no. 23 (2024): 5976. http://dx.doi.org/10.3390/en17235976.

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As the share of variable renewable energy sources in power systems grows, system operators have encountered several challenges, such as renewable generation curtailment, load interruption, voltage regulation problems, and frequency stability threats. This is particularly important for power systems transitioning to net zero. Energy storage systems are considered an effective solution to overcome these challenges. However, with the increasing penetration of renewable energy sources, different requirements have emerged, and a single energy storage solution may not effectively meet all of them. Hybrid energy storage systems have recently been proposed to remedy this problem. Different individual energy storage systems possess complementary characteristics that can enhance the reliability, security, and stability of power systems. However, hybrid energy storage systems often require more intricate modeling approaches and control strategies. Many researchers are currently working on hybrid energy storage systems to address these issues. This paper thoroughly reviews the modeling and control schemes of hybrid energy storage systems for different power system operation studies. It also examines the factors influencing the selection of hybrid energy storage systems for various power system applications. Finally, this paper provides recommendations for future research in this area.
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Kelvin Edem Bassey. "HYBRID RENEWABLE ENERGY SYSTEMS MODELING." Engineering Science & Technology Journal 4, no. 6 (2023): 571–88. http://dx.doi.org/10.51594/estj.v4i6.1255.

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The growing demand for sustainable energy solutions has spurred the development of hybrid renewable energy systems (HRES), which combine multiple renewable sources like solar and wind to enhance energy reliability and efficiency. However, optimizing the performance of HRES and managing energy storage remain significant challenges. This study explores the application of machine learning (ML) techniques to model hybrid renewable energy systems, integrating data from solar and wind sources to predict system performance and improve energy storage solutions. Machine learning algorithms are employed to analyze large datasets generated from solar panels and wind turbines, including variables such as solar irradiance, wind speed, temperature, and historical power output. By identifying patterns and correlations within these datasets, ML models can predict the performance of the hybrid system under various environmental conditions, enabling more efficient management and utilization of renewable resources. The research focuses on the development of various ML models, including regression analysis, neural networks, and ensemble methods, to enhance the predictive accuracy of HRES performance. These models are trained on extensive historical data from multiple renewable energy installations, ensuring robustness and reliability. Feature selection techniques are used to identify the most significant factors affecting system performance. Key findings demonstrate that ML-driven modelling significantly improves the accuracy of performance predictions for hybrid renewable energy systems. This improved predictive capability allows for better planning and optimization of energy storage solutions, ensuring that surplus energy generated during peak periods can be effectively stored and utilized during low production periods. The integration of ML models with energy management systems also facilitates real-time adjustments to optimize the balance between energy production, storage, and consumption. Furthermore, the study highlights the potential of ML in enhancing the scalability and adaptability of HRES. By continuously learning from new data, ML models can adapt to changing environmental conditions and evolving system configurations, ensuring sustained efficiency and reliability. The application of machine learning to hybrid renewable energy systems modelling offers a transformative approach to optimizing system performance and improving energy storage solutions. This research underscores the importance of leveraging advanced ML techniques to enhance the integration and management of renewable energy sources, supporting the transition to a more sustainable and resilient energy future. Keywords: Energy Storage Solutions, ML, System Performance, Wind Energy Sources, Hybrid Renewable Energy System.
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Priya and Singh Sukhbir. "Concept of Hybrid Energy Storage Systems in Microgrid." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 415–21. https://doi.org/10.5281/zenodo.3589864.

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Public awareness of the need to reduce global warming and the significant increase in the prices of conventional energy sources have encouraged many countries to provide new energy policies that promote the renewable energy applications. Such renewable energy sources like wind, solar, hydro based energies, etc. are environment friendly and have potential to be more widely used. Combining these renewable energy sources with back up units to form a hybrid system can provide a more economic, environment friendly and reliable supply of electricity in all load demand conditions compared to single use of such systems. Energy storages Systems ESS present many benefits such as balancing generation and demand, power quality improvement, smoothing the renewable resource's intermittency, and enabling ancillary services like frequency and voltage regulation in microgrid MG operation. Hybrid energy storage systems HESSs characterized by coupling of two or more energy storage technologies are emerged as a solution to achieve the desired performance by combining the appropriate features of different technologies. A single ESS technology cannot fulfill the desired operation due to its limited capability and potency in terms of lifespan, cost, energy and power density, and dynamic response. Hence, different configurations of HESSs considering storage type, interface, control method, and the provided service have been proposed in the literature. This paper comprehensively reviews the state of the art of HESSs system for MG applications and presents a general outlook of developing HESS industry. Important aspects of HESS utilization in MGs including capacity sizing methods, power converter topologies for HESS interface, architecture, controlling, and energy management of HESS in MGs are reviewed and classified. An economic analysis along with design methodology is also included to point out the HESS from investor and distribution systems engineers view. Regarding literature review and available shortcomings, future trends of HESS in MGs are proposed. Priya | Sukhbir Singh "Concept of Hybrid Energy Storage Systems in Microgrid" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25238.pdf
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Kolodziejski, Marcin, and Iwona Michalska-Pozoga. "Battery Energy Storage Systems in Ships’ Hybrid/Electric Propulsion Systems." Energies 16, no. 3 (2023): 1122. http://dx.doi.org/10.3390/en16031122.

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The shipping industry is going through a period of technology transition that aims to increase the use of carbon-neutral fuels. There is a significant trend of vessels being ordered with alternative fuel propulsion. Shipping’s future fuel market will be more diverse, reliant on multiple energy sources. One of very promising means to meet the decarbonisation requirements is to operate ships with sustainable electrical energy by integrating local renewables, shore connection systems and battery energy storage systems (BESS). With the increasing number of battery/hybrid propulsion vessels in operation and on order, this kind of vessel propulsion is becoming more common, especially in the segment of short range vessels. This paper presents review of recent studies of electrification or hybridisation, different aspects of using the marine BESS and classes of hybrid propulsion vessels. It also reviews several types of energy storage and battery management systems used for ships’ hybrid propulsion. The article describes different marine applications of BESS systems in relation to peak shaving, load levelling, spinning reserve and load response. The study also presents the very latest developments of hybrid/electric propulsion systems offered by leading maritime market manufacturers.
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Dissertations / Theses on the topic "Hybrid storage systems"

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Smith, Ian C. S. M. (Ian Charles) Massachusetts Institute of Technology. "Benefits of battery-uItracapacitor hybrid energy storage systems." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75685.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 85-88).<br>This thesis explores the benefits of battery and battery-ultracapacitor hybrid energy storage systems (ESSs) in pulsed-load applications. It investigates and quantifies the benefits of the hybrid ESS over its battery-only counterparts. The metric for quantifying the benefits is charge efficiency - the amount of energy delivered to the load per unit charge supplied by the battery. The efficiency gain is defined as the difference in charge efficiency between the hybrid and the battery-only ESS. A custom experimental apparatus is designed and built to supply the current control for charging and discharging the batteries, as well as the data acquisition for measuring energy and current output. Experiments are performed on both ESSs under four different pulsed load profiles: 1. 436 ms pulse period, 10% duty cycle, 8 A pulse amplitude 2. 436 ms pulse period, 25% duty cycle, 8 A pulse amplitude 3. 436 ms pulse period, 10% duty cycle, 16 A pulse amplitude 4. 436 ms pulse period, 25% duty cycle, 16 A pulse amplitude Circuit models are created to accurately represent the battery and ultracapacitors. These models are used in simulations of the same test cases from the physical experiments, and efficiency gains are compared. The circuit models differed from the experimentation by less than 1%. Both experimental and simulated data demonstrate significantly increased charge efficiencies of hybrid ESSs over battery-only ESSs, with demonstrated gains between 10% and 36%. These benefits were greatest for the 16 A, 10% duty cycle test case because it combined the highest pulse amplitude and the shortest duty cycle. It is concluded that high-amplitude, low duty cycle, and low period pulsedload profiles yield the highest efficiency gains.<br>by .Ian C. Smith<br>S.M.
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CASTIGLIA, VINCENZO JUNIOR. "Hybrid Energy Storage Modeling And Innovative Solutions For Energy Storage Management Systems." Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/533479.

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La presente tesi riguarda la modellazione di diverse fonti di accumulo di energia elettrica, in particolare batterie e supercondensatori (SC), e di nuove configurazioni di metodi di gestione di sistemi di accumulo di energia ibridi . Il crescente bisogno di domanda di energia e il desiderio di raggiungere uno sviluppo sostenibile, si riflettono nell'uso di Generatori Distribuiti (DG) basati sulle Fonti energetiche Rinnovabili (FER). L'uso di un controllo di supervisione intelligente e il raggruppamento locale della domanda e della generazione possono portare a notevoli miglioramenti nell'efficienza, affidabilità e resilienza del sistema elettrico. Il problema principale della DG basata sulle FER è la variazione naturale di alcune fonti rinnovabili, come il vento e il sole. Per ridurre l'impatto della generazione intermittente delle FER, la soluzione più efficace e pratica è l'impiego di sistemi di stoccaggio dell'energia.<br>The present dissertation concerns about the modeling of different electrical energy storage sources, in particular batteries and supercapacitors (SCs), and of novel configurations of Hybrid Energy Storage Management Systems (HESMS). The growing need for energy demand and the desire to achieve sustainable development, are reflected in the use of Renewable Energy Sources (RESs)-based Distributed Generators (DG). The use of smart supervisory control and local clustering of demand and generation can lead to marked improvements in the efficiency, reliability, and resilience of the electrical system. The main problem of RESs-based DG is the natural variation of some renewable sources, such as wind and solar. To reduce the impact of intermittent RES generation, the most effective and practical solution is the employment of Energy Storage Systems (ESSs).
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Eriksson, Emma. "Hybrid Renewable Energy Systems with Battery and Hydrogen Storage." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/378157.

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As population numbers and people's standards of living increase, so does the global energy demand and carbon dioxide emissions and it is imperative that new sustainable and renewable energy sources are sought, as the world's natural resources are depleting. Electricity generation presents the biggest opportunity to lower CO2 emissions and in an emerging world where the demand for alternative renewable energy systems is growing it is expected that one of the technologies in conjunction with conventional storage which will play a key role in reducing emissions is hydrogen fuel cell technology with hydrogen storage. Many attempts have been made to realise optimisation algorithms of renewable energy system using multiple techniques in literature. These attempts have consisted of using mathematical models combined with rules and object oriented modelling in order to assist in the design of renewable applications. The integration methods described in previous papers up to date seems to offer mainly technical and/or economical optimisation parameters. None of the presented methods seems to be based on a unified model where multi objectives and/constraints are taken into account above technical and economic considerations. There are also few practical examples of analysis and optimisation of hybrid renewable energy systems in a complete optimisation model where the behaviour of renewable energy sources, battery banks, electrolysers, fuel cells and hydrogen storage tanks are reviewed throughout the simulation in detail. For a successful transition to a renewable energy economy, optimisation of renewable energy systems must evolve to take into account metrics additional to technical performance and cost. A Normalised Weighted Constrained Multi-Objective (NWCMO) meta-heuristic optimisation algorithm has been proposed in conjunction with optional constraints for achieving a compromise between mutually conflicting objectives in multiple simultaneous categories; technical, economic, environmental and socio-political objectives, to simulate and optimise a renewable energy system with balanced outcomes. The socio political objective is represented by a proposed socio acceptance matrix which outputs a weighted measured social acceptance indicator towards proposed renewable energy systems. The methodology was implemented using an adjusted Particle Swarm Optimisation algorithm and tested against data and other studies from the literature. In each case the original results could be reproduced, but the newly-implemented algorithm was further able to find a more optimal design solution under the same constraints. In addition, the influence of additional quantified socio-political inputs was explored. This thesis presents a review of issues for integration of hydrogen energy technology into energy systems, emphasising electricity generation using fuel cell hydrogen technology. Integration of energy storage, sizing methodologies, energy flow management and their associated optimization algorithms and software implementation are addressed. The model presented in this thesis offers a streamlined integration of design rules, optimization techniques and constraints merged into one planning system. The outcome is a model offering an end user the possibility to carry out a proper feasibility study prior to embarking on implementing a renewable system. An optimisation methodology based on four classes of objective (technical, economic, environmental, socio-political) is presented, benchmarked and tested against various hybrid renewable energy systems with conventional and hydrogen storage.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>School of Environment and Sc<br>Science, Environment, Engineering and Technology<br>Full Text
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He, Yiou. "The assessment of battery-ultracapacitor hybrid energy storage systems." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91088.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>55<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 154-157).<br>Battery-ultracapacitors hybrid energy storage systems (ESS) could combine the high power density and high life cycle of ultracapacitors with the high energy density of batteries, which forms a promising energy storage system. In this thesis, an assessment of the benefits of the hybrid ESS relative to its battery-only counterpart in pulse-load applications is investigated for both Nickel-Metal Hydride (NiMH) batteries and Lithium-ion (Li-ion) batteries, and under different load profiles. Specifically, the hybrid ESS in this assessment is of the simplest type - paralleling the ultracapacitors across the batteries without any power electronics interface between them. To quantify this assessment, Discharge Capacity(0) is defined as the amount of energy one can draw out of an ESS per unit charge supplied by this ESS. The metric for quantifying the benefits is energy efficiency gain, defined as the percentage increase in the discharge capability of the hybrid ESS over its battery-only counterpart. The investigation proves that the hybrid system is more beneficial over the battery-only system in terms of how much energy it can output at a specific state-of-charge level. Among the test cases covered by this thesis, the increase in the output energy of Li-ion battery systems by incorporating ultracapacitors can reach to 17% and that of Ni-MH battery systems can reach to 33%. This thesis also shows that the benefits of paralleling ultracapactors across batteries depended upon the discharge profile of the load, the battery type and the capacitance. The benefits increase quadratically with the pulse amplitude, decreases linearly with the duty cycle and inverse with the pulse period. Moreover, capacitors with higher capacitance and lower ESR yield to larger benefits. And for batteries with a higher ESR, the ultracapacitors will show more benefits than for batteries with low ESR.<br>by Yiou He.<br>S.M.
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Chan, Siu-wo. "Design, control and application of battery-ultracapacitor hybrid systems." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38816660.

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Diaconu, Cristian V. "Hybrid density functional studies of hydrogen storage related molecular systems /." View online version; access limited to Brown University users, 2005. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3174594.

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Samuel, Durair Raj Kingsly Jebakumar. "Modeling, Control and Prototyping of Alternative Energy Storage Systems for Hybrid Vehicles." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1331140529.

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Chan, Siu-wo, and 陳兆和. "Design, control and application of battery-ultracapacitor hybrid systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38816660.

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Sultana, Maliha. "A study of data partitioning and prefetching for hybrid storage systems." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37741.

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Storage system performance has received much attention since the early days of computing systems because of the mismatch between computing power and I/O access times. The invention of new technologies have increased storage system performance, but due to the cost-performance trade off no one type of storage media is capable to meet both performance and capacity requirements. This motivated us to study the impact of data management techniques such as data partitioning and correlated prefetching on I/O performance when two different non-volatile storage media are integrated into a computing system. First, we consider partitioning data blocks between two devices, where one device is significantly faster than the other. We assume that significantly faster performance also implies a significantly smaller capacity. Clearly not all data can be stored or cached in the faster device. Second, to improve performance of the slower device, we investigate if correlation-directed prefetching (CDP) may offer significant benefits. Although CDP has been studied previously, we look into some special aspects of it. We analyze how different block correlation analysis heuristics affect the performance of CDP. We developed a simulator to study the effect of the different techniques when using devices with differing characteristics. Our results show that data partitioning can significantly improve storage system performance. For a hard disk and solid-state drive based system, we achieved 2--92% improvement for different traces. We also show that data partitioning based on application long-range block access patterns performs significantly better than caching temporal locality of references. To evaluate the hybrid system in real world settings, we present a case study, a prototype data block manager for Linux-based systems that permits data to be partitioned across an SSD and an HDD. This partitioning is transparent to the file system and the block manager can also trigger data prefetches when there is high correlation between data block accesses.
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Vieira, Giovani Giulio Tristão Thibes. "Hybrid powertrains analysis for ship propulsion using energy storage." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-17122018-090614/.

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The ship emission already occupy the eighth position in the world biggest emitters ranking. This happens because the ship operations have a huge demand variation therefore in order to reduce the ship emissions is required an efficient operation of the generators. This work aims at integrating advanced storage systems into the operation of diesel generators. The variation of the operation point has a direct interference on the emissions and on the diesel consumption, this variation is allowed through the frequency and voltage control. The use of lithium batteries for various operation points of the generators is analyzed. The use of an energy storage system allowed the operation of the generators in a better operation point therefore there was a reduction in diesel consumption and in CO2 emissions when the diesel generators. The main result of this work could also shed light in the operation of isolated power systems equipped with advanced storage systems and diesel generators.<br>As emissões dos navios já ocupam a oitava posição entre os países com maior emissão no mundo. Isso pode ser explicado pelo fato de que as operações dos navios têm uma grande variação de demanda de potência, com isso a operação inteligente dos geradores a diesel é fundamental para a redução das emissões. A abordagem desenvolvida nesse trabalho integra o uso de sistemas de armazenamento avançados na operação dos geradores a diesel. A variação do ponto de operação dos geradores a diesel interfere diretamente no consumo e nas emissões, essa variação só é possível por meio do controle de frequência e tensão providos pelo sistema de armazenamento de energia. Nesse trabalho foram analisados o uso de baterias de lítio para diferentes pontos de operação do gerador a diesel. O uso das baterias possibilitou a operação dos geradores num melhor ponto de carga com isso houve uma redução das emissões e do consumo de combustível. Os resultados encontrados nesse trabalho podem ser extrapolados qualitativamente para outros sistemas de potência offshore, como plataformas de petróleo e de perfuração, que operem com sistemas de baterias avançadas e geradores a diesel.
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Books on the topic "Hybrid storage systems"

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Institution of Engineering and Technology and Knovel (Firm), eds. Propulsion systems for hybrid vehicles. 2nd ed. Institution of Engineering and Technology, 2010.

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Willis, Don. A hybrid systems approach to preservation of printed materials. Commission on Preservation and Access, 1992.

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Kim, Younghyun, and Naehyuck Chang. Design and Management of Energy-Efficient Hybrid Electrical Energy Storage Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07281-4.

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Simpson, Andrew. Energy storage system considerations for grid-charged hybrid electric vehicles. U.S. Dept. of Energy, National Renewable Energy Laboratory, Office of Energy Efficiency & Renewable Energy, 2005.

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Willis, Don. A hybrid systems approach to preservation of printed materials. Commission on Preservation and Access, 1992.

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Willis, Don. A hybrid systems approach to preservation of printed materials. Commission on Preservation and Access, 1992.

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Corchado, Emilio. Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part I. Springer Berlin Heidelberg, 2011.

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Brunström, Christer. The Lyckebo projekt, solar district heating with seasonal storage in a rock cavern: Evaluation and operational experience. Swedish Council for Building Research, 1987.

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International Workshop on Hybrid Artificial Intelligence Systems (5th 2010 San Sebastián, Spain). Hybrid artificial intelligence systems: 5th international conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010 : proceedings. Springer, 2010.

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Corchado, Emilio. Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II. Springer Berlin Heidelberg, 2011.

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Book chapters on the topic "Hybrid storage systems"

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Micheloni, Rino, Luca Crippa, and M. Picca. "Hybrid Storage Systems." In Inside Solid State Drives (SSDs). Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0599-3_3.

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Coehoorn, R., S. R. Cumpson, J. J. M. Ruigrok, et al. "Hybrid Recording." In Magnetic Storage Systems Beyond 2000. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0624-8_55.

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Zohuri, Bahman. "Reliable Renewables with Cryogenic Energy Storage." In Hybrid Energy Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70721-1_3.

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Al-Hallaj, Said, and Kristofer Kiszynski. "Hydrogen Production, Storage and Fuel Cells." In Hybrid Hydrogen Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84628-467-0_3.

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Zohuri, Bahman. "Energy Storage for Peak Power and Increased Revenue." In Hybrid Energy Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70721-1_6.

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Rekioua, Djamila. "Storage in Hybrid Renewable Energy Systems." In Hybrid Renewable Energy Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34021-6_4.

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Zohuri, Bahman. "Energy Storage Technologies and Their Role in Renewable Integration." In Hybrid Energy Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70721-1_8.

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Ehsani, Mehrdad. "Hybrid Energy Storage hybrid energy storage Systems for Vehicle Applications hybrid energy storage vehicle applications." In Encyclopedia of Sustainability Science and Technology. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_812.

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Ehsani, Mehrdad. "Hybrid Energy Storage hybrid energy storage Systems for Vehicle Applications hybrid energy storage vehicle applications." In Transportation Technologies for Sustainability. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5844-9_812.

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Yu, Anxuan, Qingzhong Meng, Xuan Zhou, Binyu Shen, and Yansong Zhang. "Query Optimization on Hybrid Storage." In Database Systems for Advanced Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55753-3_23.

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Conference papers on the topic "Hybrid storage systems"

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Viatkin, Aleksandr, Shih-Feng Chou, Tim Augustin, et al. "Hybrid Energy Storage Enhanced STATCOMs." In 2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2024. http://dx.doi.org/10.1109/pedg61800.2024.10667431.

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Cai, Tao, Zeyu Huang, Dejiao Niu, Qiangqiang Ni, Zihao Yinyi, and Danping Zou. "DNZ-LSM-Tree for Hybrid Storage Systems." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00196.

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Anta, Adolfo, Catalin Gavriluta, Denis Vettoretti, David Cabezuelo, and Eneko Unamuno. "An Optimal Power-Splitting Strategy for Hybrid Storage Systems." In 2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2024. http://dx.doi.org/10.1109/pedg61800.2024.10667376.

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Hussein, Hossam M., SM Sajjad Hossain Rafin, Mahmoud S. Abdelrahman, Ibtissam Kharchouf, and Osama A. Mohammed. "Electric Vehicle Performance Enhancement Utilizing Hybrid Energy Storage Systems." In 2024 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2024. http://dx.doi.org/10.1109/vppc63154.2024.10755407.

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Sun, Guangzeng, Bo Yuan, Gang Lu, Zheng Wang, Peng Xia, and Cong Wu. "Multi-Time-Scale Scheduling of Hybrid Energy Storage Systems." In 2024 IEEE International Conference on Energy Internet (ICEI). IEEE, 2024. https://doi.org/10.1109/icei63732.2024.10917279.

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FAN, RUITING. "Hybrid energy storage systems: combining battery and hydrogen storage for renewable energy supply stability." In Ninth International Conference on Energy System, Electricity and Power (ESEP 2024), edited by Mohan Lal Kolhe, Yunfei Mu, Ze Cheng, and Qian Xiao. SPIE, 2025. https://doi.org/10.1117/12.3060763.

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Pedram, Massoud, Naehyuck Chang, Younghyun Kim, and Yanzhi Wang. "Hybrid electrical energy storage systems." In the 16th ACM/IEEE international symposium. ACM Press, 2010. http://dx.doi.org/10.1145/1840845.1840924.

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Jian, Chen, Che Yanbo, and Zhao Lihua. "Design and research of off-grid wind-solar hybrid power generation systems." In Energy Storage. IEEE, 2011. http://dx.doi.org/10.1109/pesa.2011.5982922.

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Pouraltafi-Kheljan, Soheil, Moataz El-Sied, Mustapha A. Rahmani, Kaushik Das, and Poul E. Sorensen. "Frequency services from hybrid storage wind turbines." In 8th International Hybrid Power Plants & Systems Workshop (HYB 2024). Institution of Engineering and Technology, 2024. http://dx.doi.org/10.1049/icp.2024.1827.

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Nijim, Mais. "Modelling Speculative Prefetching for Hybrid Storage Systems." In 2010 IEEE International Conference on Networking, Architecture, and Storage (NAS). IEEE, 2010. http://dx.doi.org/10.1109/nas.2010.27.

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Reports on the topic "Hybrid storage systems"

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Reilly, Jim, Ram Poudel, Venkat Krishnan, et al. Hybrid Distributed Wind and Battery Energy Storage Systems. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1874259.

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Mikkelson, Daniel, Konor Frick, Cristian Rabiti, and Shannon Bragg-Sitton. Thermal Energy Storage Model Development within the Integrated Energy Systems Hybrid Repository. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1787041.

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Miller, John, Lewis, B. Sibley, and John Wohlgemuth. Investigation of Synergy Between Electrochemical Capacitors, Flywheels, and Batteries in Hybrid Energy Storage for PV Systems. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/8380.

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De Anda, Mindi Farber, and Ndeye K. Fall. Evaluation of battery/microturbine hybrid energy storage technologies at the University of Maryland :a study for the DOE Energy Storage Systems Program. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/888565.

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Sun, Xiaodong, Xiaoqin Zhang, Inhun Kim, James O'Brien, and Piyush Sabharwall. The Development of an INL Capability for High Temperature Flow, Heat Transfer, and Thermal Energy Storage with Applications in Advanced Small Modular Reactors, High Temperature Heat Exchangers, Hybrid Energy Systems, and Dynamic Grid Energy Storage C. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1237324.

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Sabharwall, Piyush, Michael George mckellar, and Su-Jong Yoon. Nuclear Hybrid Energy System: Molten Salt Energy Storage (Summer Report 2013). Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1173093.

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Bhatikar, S. R., R. L. Mahajan, K. Wipke, and V. Johnson. Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/935117.

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Kwan, Thomas, and Cedric Philibert. Optimizing Renewable Energy Integration and Grid Costs for Electrified Ammonia Production. Schneider Electric, 2024. http://dx.doi.org/10.58284/se.sri/dghe6934.

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Abstract:
The global energy transition and the need to decarbonize the chemicals industry have highlighted the potential of electrified ammonia production (e-ammonia) as a sustainable, low-carbon pathway. This comprehensive techno-economic analysis integrates renewable energy, advanced process controls, and a systems-level approach to optimize e-ammonia production. The study examines five energy mix scenarios and two process flexibility configurations, optimizing key components to minimize the levelized cost of ammonia (LCOA) production. Key findings include: Renewable energy integration, particularly in hybrid grid and renewable scenarios, reduces LCOA compared to grid-only electricity. Flexible Haber-Bosch configurations outperform nonflexible setups in cost reduction and resilience to grid price variability. Optimizing energy and hydrogen storage is crucial for adapting to intermittent renewable energy sources and minimizing costs. Advanced process controls and digital technologies enhance the utilization of low-cost, clean electricity and resilience to grid pricing uncertainties. Continued research in renewable energy technologies is essential for reducing the environmental footprint of e-ammonia. The study demonstrates that e-ammonia production remains economically viable across various grid pricing scenarios, emphasizing the robustness of renewable energy integration. Achieving fully decarbonized, green ammonia production is possible through power purchase agreements and increased renewable energy penetration. The transition to sustainable ammonia has significant social and geographic implications, requiring concerted efforts from policymakers, industry leaders, researchers, and local communities to ensure a just and sustainable transition. This research provides a compelling case for the adoption of e-ammonia technologies to decarbonize the ammonia industry while maintaining economic viability.
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Neises, Ty, Bill Hamilton, Janna Martinek, and Joshua McTigue. Stand-Alone and Hybrid Electric Thermal Energy Storage in the System Advisor Model. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1878562.

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Doughty, Daniel Harvey, and Chris C. Crafts. FreedomCAR :electrical energy storage system abuse test manual for electric and hybrid electric vehicle applications. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/889934.

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