Bibliografias temáticas / Hybrid renewable energy sources

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Literatura científica selecionada sobre o tema "Hybrid renewable energy sources"

Autor: Grafiati
Publicado: 25 de março de 2025

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Artigos de revistas sobre o assunto "Hybrid renewable energy sources"

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Mustafa, Mohd, e Dr G. Anandha Kumar. "Energy Management Technique of Hybrid Renewable Energy Sources for Inter-connected Grid Applications". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 11 (20 de novembro de 2019): 310–15. http://dx.doi.org/10.5373/jardcs/v11i11/20193201.

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Mustafa, Mohd, e Anandha Kumar G. "A Review on Energy Management of Hybrid Renewable Energy Sources for Interconnected Grid Applications". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 0009-SPECIAL ISSUE (25 de setembro de 2019): 863–67. http://dx.doi.org/10.5373/jardcs/v11/20192644.

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Sarjana, Sri, Joko Rizkie Widokarti, Helman Fachri e Diaz Pranita. "Hybrid Energy to Drive Renewable Energy Diversity in Bibliometric Analysis". International Journal of Energy Economics and Policy 12, n.º 1 (19 de janeiro de 2022): 500–506. http://dx.doi.org/10.32479/ijeep.11956.

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Hybrid energy is a combination of two or more energy sources, some of which can be sourced from several renewable energies combined, or combined with fossil energy. Renewable energy diversity is implemented through the development of hybrid energy in order to obtain new energy sources that are more effective and efficient. Bibliometric analysis is directed to analyze topics that have novelty according to the time period of publication based on qualitative methods. Analysis of scientific literature sourced from scientific journals published in the last ten years with the topic of hybrid energy. The results of study stated that several topics that had novelty were obtained to be used in the development of further knowledge and technology, especially in the development of hybrid energy including energy density, renewable energy system, supercapacitor, storage system, algorithm, electric vehicle, and energy system. The development of hybrid energy is very important to be followed up in order to get more comprehensive source of energy diversity and has full support for development of green technology that has relevance in sustainable development.
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Sayed, Enas Taha, Abdul Ghani Olabi, Abdul Hai Alami, Ali Radwan, Ayman Mdallal, Ahmed Rezk e Mohammad Ali Abdelkareem. "Renewable Energy and Energy Storage Systems". Energies 16, n.º 3 (1 de fevereiro de 2023): 1415. http://dx.doi.org/10.3390/en16031415.

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The use of fossil fuels has contributed to climate change and global warming, which has led to a growing need for renewable and ecologically friendly alternatives to these. It is accepted that renewable energy sources are the ideal option to substitute fossil fuels in the near future. Significant progress has been made to produce renewable energy sources with acceptable prices at a commercial scale, such as solar, wind, and biomass energies. This success has been due to technological advances that can use renewable energy sources effectively at lower prices. More work is needed to maximize the capacity of renewable energy sources with a focus on their dispatchability, where the function of storage is considered crucial. Furthermore, hybrid renewable energy systems are needed with good energy management to balance the various renewable energy sources’ production/consumption/storage. This work covers the progress done in the main renewable energy sources at a commercial scale, including solar, wind, biomass, and hybrid renewable energy sources. Moreover, energy management between the various renewable energy sources and storage systems is discussed. Finally, this work discusses the recent progress in green hydrogen production and fuel cells that could pave the way for commercial usage of renewable energy in a wide range of applications.
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Stadnik, M. I., D. P. Protsenko e S. M. Babiy. "Hybrid Power Supply Using Renewable Energy Sources". Visnyk of Vinnytsia Politechnical Institute 151, n.º 4 (2020): 32–41. http://dx.doi.org/10.31649/1997-9266-2020-151-4-32-41.

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Rtemi, Laila, Wedad El-Osta e Ahmad Attaiep. "Hybrid System Modeling for Renewable Energy Sources". Solar Energy and Sustainable Development Journal 12, n.º 1 (12 de julho de 2023): 13–28. http://dx.doi.org/10.51646/jsesd.v12i1.146.

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The main goal of this study is to design optimize and design a hybrid wind/PV solar power system to provide the premises of the Libyan Center for Solar Energy Research Center (LCSERS) with the required energy and investigates its technical and economic feasibility. HOMER simulation program is used to design the off-grid and assess the feasible solution and economic cost. The power systems are optimized based on the electricity load, climatic data sources, the economics of the power components, and other parameters in which the total Net Present Cost (NPC) must be minimized to select an economically feasible power system. Moreover, other parameters like a renewable fraction, capacity shortage, Cost of Energy (COE), and excess electricity, were also considered to check the technical capability. Sensitivity analysis of the most influential variables has been considered in four scenarios of capacity shortage. In the off-grid hybrid system, the best option is the fourth scenario, where the capacity shortage is 5% of the 60,385.6 kWh/yr electric load, peaking at 43.45 kw, because the lowest COE is 0.222 $ and the NPC is 168,173 $. The system consists of a 20 kW PV, one turbine of 25 kW, and 72 Hoppecke batteries of 1500.Ah each. The annual share of wind energy was 77%, and solar energy was 22.9%. The estimated excess of electricity was 58.3%.
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Sabishchenko, Oleksandr, Rafał Rębilas, Norbert Sczygiol e Mariusz Urbański. "Ukraine Energy Sector Management Using Hybrid Renewable Energy Systems". Energies 13, n.º 7 (7 de abril de 2020): 1776. http://dx.doi.org/10.3390/en13071776.

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The Ukrainian energy sector is one of the most inflexible energy sectors in the world as a result of the almost complete depreciation of the equipment of the main sources of power supply: nuclear, thermal, and hydropower. In connection with existing problems, there is a need to develop and use new energy-saving technologies based on renewable energy sources. In this proposed research, a regression model of renewable energy growth in the energy sector of Ukraine was developed. The studied literature reveals that the independent use of individual functioning elements of renewable energy sources function as the primary power source that is not an optimal solution for stable energy supply. This study proposes the use of hybrid renewable energy systems, namely a combination of two or more renewable energy sources that will help each other to achieve higher energy efficiency, accelerate the growth of renewable energy in the share of the Ukrainian energy sector and/or improve functioning with battery energy storages. Moreover, the use of hybrid renewable energy systems in Ukraine will reduce the human impact on the environment, realize the potential of local renewable energy resources and also increase the share of electricity generation from renewable energy sources. Therefore, mechanisms for managing state regulation of stimulating the development of hybrid renewable energy systems have been developed.
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Kelvin Edem Bassey. "HYBRID RENEWABLE ENERGY SYSTEMS MODELING". Engineering Science & Technology Journal 4, n.º 6 (30 de dezembro de 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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Antonio de Souza Ribeiro, Luiz, Osvaldo Ronald Saavedra, José Gomes de Matos, Shigeaki Leite Lima, Guilherme Bonan e Alexandre Saccol Martins. "Hybrid renewable energy systems, Solar energy, Standalone micro-grid, wind energy". Eletrônica de Potência 15, n.º 4 (1 de novembro de 2010): 313–22. http://dx.doi.org/10.18618/rep.2010.4.313322.

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Homa, Maksymilian, Anna Pałac, Maciej Żołądek e Rafał Figaj. "Small-Scale Hybrid and Polygeneration Renewable Energy Systems: Energy Generation and Storage Technologies, Applications, and Analysis Methodology". Energies 15, n.º 23 (2 de dezembro de 2022): 9152. http://dx.doi.org/10.3390/en15239152.

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The energy sector is nowadays facing new challenges, mainly in the form of a massive shifting towards renewable energy sources as an alternative to fossil fuels and a diffusion of the distributed generation paradigm, which involves the application of small-scale energy generation systems. In this scenario, systems adopting one or more renewable energy sources and capable of producing several forms of energy along with some useful substances, such as fresh water and hydrogen, are a particularly interesting solution. A hybrid polygeneration system based on renewable energy sources can overcome operation problems regarding energy systems where only one energy source is used (solar, wind, biomass) and allows one to use an all-in-one integrated systems in order to match the different loads of a utility. From the point of view of scientific literature, medium- and large-scale systems are the most investigated; nevertheless, more and more attention has also started to be given to small-scale layouts and applications. The growing diffusion of distributed generation applications along with the interest in multipurpose energy systems based on renewables and capable of matching different energy demands create the necessity of developing an overview on the topic of small-scale hybrid and polygeneration systems. Therefore, this paper provides a comprehensive review of the technology, operation, performance, and economical aspects of hybrid and polygeneration renewable energy systems in small-scale applications. In particular, the review presents the technologies used for energy generation from renewables and the ones that may be adopted for energy storage. A significant focus is also given to the adoption of renewable energy sources in hybrid and polygeneration systems, designs/modeling approaches and tools, and main methodologies of assessment. The review shows that investigations on the proposed topic have significant potential for expansion from the point of view of system configuration, hybridization, and applications.
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Mais fontes

Teses / dissertações sobre o assunto "Hybrid renewable energy sources"

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Shendryk, S. O. "Decision support in managment of hybrid renewable energy sources". Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/65232.

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Nowadays the distributed energy generation and renewable energy sources (RES) are the main areas of energy development all over the world. They play a significant role in improving the reliability and quality of the supplied electricity. Various forms of RESs using solar and wind energy are also proposed.
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Kusakana, Kanzumba. "Optimal operation control of hybrid renewable energy systems". Thesis, Bloemfontein: Central University of Technology, Free State, 2014. http://hdl.handle.net/11462/670.

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Thesis (D. Tech. (Electrical Engineering)) -- Central University of Technology, Free State, 2014
For a sustainable and clean electricity production in isolated rural areas, renewable energies appear to be the most suitable and usable supply options. Apart from all being renewable and sustainable, each of the renewable energy sources has its specific characteristics and advantages that make it well suited for specific applications and locations. Solar photovoltaic and wind turbines are well established and are currently the mostly used renewable energy sources for electricity generation in small-scale rural applications. However, for areas in which adequate water resources are available, micro-hydro is the best supply option compared to other renewable resources in terms of cost of energy produced. Apart from being capital-cost-intensive, the other main disadvantages of the renewable energy technologies are their resource-dependent output powers and their strong reliance on weather and climatic conditions. Therefore, they cannot continuously match the fluctuating load energy requirements each and every time. Standalone diesel generators, on the other hand, have low initial capital costs and can generate electricity on demand, but their operation and maintenance costs are very high, especially when they run at partial loads. In order for the renewable sources to respond reliably to the load energy requirements, they can be combined in a hybrid energy system with back-up diesel generator and energy storage systems. The most important feature of such a hybrid system is to generate energy at any time by optimally using all available energy sources. The fact that the renewable resources available at a given site are a function of the season of the year implies that the fraction of the energy provided to the load is not constant. This means that for hybrid systems comprising diesel generator, renewable sources and battery storage in their architecture, the renewable energy fraction and the energy storage capacity are projected to have a significant impact on the diesel generator fuel consumption, depending on the complex interaction between the daily variation of renewable resources and the non-linear load demand. V This was the context on which this research was based, aiming to develop a tool to minimize the daily operation costs of standalone hybrid systems. However, the complexity of this problem is of an extremely high mathematical degree due to the non-linearity of the load demand as well as the non-linearity of the renewable resources profiles. Unlike the algorithms already developed, the objective was to develop a tool that could minimize the diesel generator control variables while maximizing the hydro, wind, solar and battery control variables resulting in saving fuel and operation costs. An innovative and powerful optimization model was then developed capable of efficiently dealing with these types of problems. The hybrid system optimal operation control model has been simulated using fmincon interior-point in MATLAB. Using realistic and actual data for several case studies, the developed model has been successfully used to analyse the complex interaction between the daily non-linear load, the non-linear renewable resources as well as the battery dynamic, and their impact on the hybrid system’s daily operation cost minimization. The model developed, as well as the solver and algorithm used in this work, have low computational requirements for achieving results within a reasonable time, therefore this can be seen as a faster and more accurate optimization tool.
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Ahmed, Rana. "Energy management and control for hybrid renewable energy sources in rural area". Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4353.

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Cette thèse propose principalement, un algorithme État-Flow MPPT basé P&O, amélioré avec deux degrés de liberté, dans lequel le système événementiel (MPPT) de comportement est modélisé par le décrivant en terme de transition entre les états, sous certaines conditions. Secondairement, un algorithme étendu MPPT, base d'exploitation en parallèle de l'état-débit est en outre proposé d'être une solution difficile pour le contrôle indépendant du système hybride, où la caractéristique de contrôle continu peut se présenter au cours d'un certain état de travail tout en discrète, est indiquée le long des transitions d'état. Deux configurations possibles pour le système hybride sont proposées : deux convertisseurs DC/DC séparés, et un convertisseur de sortie unique à double entrée (DISO) de configurations. Enfin, il est proposé, un comportement du système DC modélisation utilisant État-Flow, menant à l'ensemble de la conception de la stratégie de commande qui concernent RES MPPT, RES et la coordination BESS, la stabilité du système d'alimentation et de régulation de la tension du bus DC. La simulation et les résultats expérimentaux valident l'efficacité et l'applicabilité de l'algorithme proposé. Les deux résultats montrent la supériorité du MPPT basé proposé État-Flow pour réduire les oscillations de puissance RESs à l'état d'équilibre dans diverses conditions d'exploitation, en plus de son démarrage plus rapide, et l’opération de transition sans divergence de la MPP, selon des conditions météorologiques variables
This thesis primarily proposes, an improved P&O based State-Flow MPPT algorithm featuring two degree of freedom, in which the event driven system (MPPT) behaviour is modelled by describing it in terms of transitions among states under certain conditions. Secondarily, an extended parallel operating State-Flowbased MPPT algorithm is further proposed to be a challenging solution for the independent control of the hybrid system, where continuous control characteristic can present during a certain working state while discrete one is indicated along state transitions. Two possible configurations for the hybrid system are proposed; two separate DC/DC converters and dual input single output converter (DISO) configurations. Finally it is proposed, DC system behaviour modelling using State-Flow leading to the whole control strategy design which concern RESs MPPT, RESs and BESS coordination, power system stability and DC bus voltage regulation.Simulation and experimental results validate the effectiveness and applicability of the proposed algorithm, both results show the superiority of the proposed State-Flow based MPPT in reducing the RESs power oscillations at steady-state in various operating conditions in addition to its faster start-up and transition operation without divergence from the MPP during sudden varying weather conditions
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Renaudineau, Hugues. "Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis". Thesis, Université de Lorraine, 2013. http://www.theses.fr/2013LORR0336/document.

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Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation DC de sources photovoltaïques, d'une batterie au lithium et de supercondensateurs. Des modèles dynamiques des convertisseurs boost conventionnels et de leur variante avec isolation galvanique sont proposés. Un observateur d'état est ensuite présenté pour estimer en ligne les différents paramètres représentant les pertes des convertisseurs. On montre qu'il est possible d'utiliser ces paramètres estimés pour la gestion de l'énergie dans le système, avec en particulier l'optimisation du rendement de structures parallèles. L'optimisation des sources photovoltaïques est aussi étudiée avec une attention particulière accordée aux phénomènes d'ombrage partiel et le design d'un algorithme de maximisation de la puissance produite (MPPT) dans le cas d'une architecture distribuée série. De part une architecture de puissance spécifique, on propose aussi une méthode d'estimation de l'état de santé (SOH) de la batterie qui est validée sur des cellules de batterie Li - ion et LiFePO4. On montre que le convertisseur Cuk isolé avec inductances couplées est parfaitement adapté pour faire du diagnostic en ligne sur les batteries par injection de courant. Enfin, un schéma de gestion de l'énergie global est proposé, et on vérifie le bon fonctionnement de l'ensemble de la source hybride proposée
This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed
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Renaudineau, Hugues. "Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis". Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0336.

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Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation DC de sources photovoltaïques, d'une batterie au lithium et de supercondensateurs. Des modèles dynamiques des convertisseurs boost conventionnels et de leur variante avec isolation galvanique sont proposés. Un observateur d'état est ensuite présenté pour estimer en ligne les différents paramètres représentant les pertes des convertisseurs. On montre qu'il est possible d'utiliser ces paramètres estimés pour la gestion de l'énergie dans le système, avec en particulier l'optimisation du rendement de structures parallèles. L'optimisation des sources photovoltaïques est aussi étudiée avec une attention particulière accordée aux phénomènes d'ombrage partiel et le design d'un algorithme de maximisation de la puissance produite (MPPT) dans le cas d'une architecture distribuée série. De part une architecture de puissance spécifique, on propose aussi une méthode d'estimation de l'état de santé (SOH) de la batterie qui est validée sur des cellules de batterie Li - ion et LiFePO4. On montre que le convertisseur Cuk isolé avec inductances couplées est parfaitement adapté pour faire du diagnostic en ligne sur les batteries par injection de courant. Enfin, un schéma de gestion de l'énergie global est proposé, et on vérifie le bon fonctionnement de l'ensemble de la source hybride proposée
This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed
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Esmaili, Gholamreza. "Application of advanced power electronics in renewable energy sources and hybrid generating systems". Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1141850833.

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Althomali, Khalid. "Energy Management System Modeling of DC Data Center with Hybrid Energy Sources Using Neural Network". DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1701.

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As data centers continue to grow rapidly, engineers will face the greater challenge in finding ways to minimize the cost of powering data centers while improving their reliability. The continuing growth of renewable energy sources such as photovoltaics (PV) system presents an opportunity to reduce the long-term energy cost of data centers and to enhance reliability when used with utility AC power and energy storage. However, the inter-temporal and the intermittency nature of solar energy makes it necessary for the proper coordination and management of these energy sources. This thesis proposes an energy management system in DC data center using a neural network to coordinate AC power, energy storage, and PV system that constitutes a reliable electrical power distribution to the data center. Software modeling of the DC data center was first developed for the proposed system followed by the construction of a lab-scale model to simulate the proposed system. Five scenarios were tested on the hardware model and the results demonstrate the effectiveness and accuracy of the neural network approach. Results further prove the feasibility in utilizing renewable energy source and energy storage in DC data centers. Analysis and performance of the proposed system will be discussed in this thesis, and future improvement for improved energy system reliability will also be presented.
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Gesha, Hlonela. "An analysis of the environmental impacts of biomass application in hybrid microgrids in South Africa". Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2764.

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Thesis (Master of Engineering in Electrical Engineering)--Cape Peninsula University of Technology, 2018.
In Sub-Saharan Africa (SSA), there are several challenges that hinder development. One of these challenges is access to electricity. There are numerous benefits to having access to reliable electricity. These include less time spent fetching water from rivers and dams, as water purification systems for households could be used in villages; children in villages would be able to spend more time doing their schoolwork and not fetching wood for fire; and automated irrigation systems could be used for villagers to farm and make an income. Finding alternative ways to generate electricity would enable access to electricity for regions that currently do not have the electricity. This means that large organisations need to find alternative ways of generating electricity, as they have the means to do so. With the current renewable energy technologies available, there are now more ways in which electricity could be generated. The use of biomass is no exception to this. With constant developments in the renewable energy sector, waste-to-energy (WtE) is proving to be a viable method to generate electricity. The main aim of this research was to determine if a commercial food retailing organisation could use their food waste for generating electricity for their own use to reduce their demand from the central grid. A way of determining the viability of this type of technology is using a software that simulates renewable energy projects. In this research, an organisation was contacted for waste data. Systems for two of the stores will be simulated and results will be discussed. The organisation will remain anonymous. The software used in this research is System Advisor Model (SAM), which was developed by the National Renewable Energy Laboratory (NREL) in the United States. In the results, three results were discussed. These are the monthly energy, monthly heat rate and the monthly boiler efficiency for each of the stores for Store 1, the annual energy simulated was 138,509 kWh and 131,677 kWh for Store 2. Monthly energy averages for each store were 11,542 kWh for Store 1 and 10,973 kWh for Store 2, respectively. There are several opportunities for research based on the findings. These include researching other food sectors in the study; conducting a financial analysis of small-scale WtE systems; constructing a prototype of the system; and using three different softwares to simulate a system for the same project.
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Assaad, Michael. "Arduino Based Hybrid MPPT Controller for Wind and Solar". Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062827/.

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Renewable power systems are becoming more affordable and provide better options than fossil-fuel generation, for not only the environment, but a benefit of a reduced cost of operation. Methods to optimize charging batteries from renewable technologies is an important subject for off-grid and micro-grids, and is becoming more relevant for larger installations. Overcharging or undercharging the battery can result in failure and reduction of battery life. The Arduino hybrid MPPT controller takes the advantage of solar and wind energy sources by controlling two systems simultaneously. The ability to manage two systems with one controller is better for an overall production of energy, cost, and manageability, at a minor expense of efficiency. The hybrid MPPT uses two synchronous buck DC-DC converters to control both wind and solar. The hybrid MPPT performed at a maximum of 93.6% efficiency, while the individual controller operated at a maximum 97.1% efficiency when working on the bench test. When designing the controller to manage power production from a larger generator, the inductor size was too large due to the frequency provided by the Arduino. A larger inductor means less allowable current to flow before the inductor becomes over saturated, reducing the efficiency of the controller. Utilizing a different microcontroller like the PIC16C63A produces a much faster frequency, which will reduce the inductor size needed and allow more current before over saturation.
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Etxeberria, Aitor. "Microgrid hybrid energy storage and control using a three-level NPC converter". Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14695/document.

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L’intégration croissante de la Génération Distribuée basée sur des sources d’énergies renouvelables présente de nouveaux défis pour le réseau électrique centralisé actuel. Le micro-réseau est une des alternatives envisagées afin d’augmenter le taux de pénétration d’énergie renouvelable et d’améliorer la qualité de l’énergie. La stabilité d’un micro-réseau est fortement sensible aux variations de puissance venant des sources d’énergie ou des charges. Dans ce contexte, un système de stockage d’énergie joue un rôle essentiel et doit satisfaire deux conditions : disposer d’une capacité de stockage importante pour adapter la production à la demande et être capable de fournir rapidement une puissance instantanée suffisante pour pallier les problèmes de qualité d’énergie. L’objectif principal de cette thèse est de concevoir et valider expérimentalement un système de conversion de puissance et l’algorithme de contrôle associé pour la gestion du stockage dans un micro-réseau afin de satisfaire les deux conditions. Suite à l’analyse de différentes technologies de stockage, on peut conclure qu’il n’y a pas de système de stockage capable de satisfaire les conditions d’énergie et de puissance en même temps. Par conséquent, l’association d’un supercondensateur et d’une batterie Redox au Vanadium dans un Système de Stockage Hybride est utilisée pour satisfaire les conditions mentionnées. Le travail de recherche est axé sur la gestion du flux d’énergie et de puissance du Système de Stockage Hybride proposé à l’aide d’un système de conversion de puissance innovant et son algorithme de commande. Un convertisseur multi-niveaux 3LNPC a été choisi pour commander en même temps les deux systèmes de stockage, en raison de faibles pertes de puissance et de distorsions harmoniques réduites en comparaison avec d’autres topologies existantes. Un algorithme de commande capable d’exploiter les limites de fonctionnement du convertisseur sur toute sa plage de fonctionnement a été conçu afin de satisfaire de manière optimale les critères spécifiés. Le fonctionnement du système de conversion et la stratégie de commande proposée ont été validés d’abord en simulation et ensuite expérimentalement en utilisant le micro-réseau installé à l’ESTIA
The increasing penetration of Distributed Generation systems based on Renewable Energy Sources is introducing new challenges in the current centralised electric grid. The microgrid is one of the alternatives that is being analysed in order to increase the penetration level of renewable energy sources in electrical grids and improve the power quality. The microgrid stability is highly sensitive to power variations coming from the energy sources or loads. In this context, an energy storage system is essential and it must satisfy two criteria: to have a high storage capacity to adapt the generation to the demand and to be able to supply fast power variations to overcome the power quality problems that may arise. The main objective of this thesis has been to design a power conversion system and the associated control algorithm for a storage system management in order to satisfy the defined requirements, as well as to experimentally validate the proposed solution. After an analysis of different storage system technologies, it can be concluded that there is not any storage system capable of offering the energy and power requirements at the same time. Consequently, the association of a SuperCapacitor bank and a Vanadium Redox Battery is used to satisfy the mentioned requirements. This thesis has been focused on the power and energy flow management of the proposed Hybrid Energy Storage System through an innovative power conversion system and its control method. A Three-Level Neutral Point Clamped converter has been used to control at the same time the two storage systems, due to the reduced power losses and harmonic distortion compared to other existing topologies. A control algorithm that uses the operational limits of the converter in its entire operation range has been designed in order to allow selecting the best operation point according to the specified criteria. The operation of the power conversion system and the proposed control method have been first validated in simulations and then experimentally using the microgrid installed in ESTIA
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Livros sobre o assunto "Hybrid renewable energy sources"

1

Jager, Bram. Optimal Control of Hybrid Vehicles. London: Springer London, 2013.

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Halderman, James D. Hybrid and alternative fuel vehicles. Upper Saddle River, NJ: Pearson Prentice Hall, 2008.

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IEEE Energy 2030 Conference (2008 Atlanta, Ga.). 2008 IEEE Energy 2030 Conference: Atlanta, Georgia, 17-18 November 2008. Piscataway, NJ: IEEE, 2008.

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Eder, Dominik, e Robert Schlögl. Nanocarbon-inorganic hybrids: Next generation composites for sustainable energy applications. Berlin: Walter de Gruyter, 2014.

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Rekioua, Djamila. Hybrid Renewable Energy Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34021-6.

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A, Laughton M., e Watt Committee on Energy. Working Group on Renewable Energy Sources., eds. Renewable energy sources. London: Published on behalf of the Watt Committee on Energy by Elsevier Applied Science, 1990.

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Laughton, M. A. Renewable Energy Sources. London: Taylor & Francis Group Plc, 2004.

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Laughton, M. A. Renewable energy sources. London: Published on behalf of the Watt Committee on Energy by Elsevier Applied Science, 2003.

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Bent, Sørensen. Renewable energy. London: Earthscan, 2011.

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Dineen, Jacqueline. Renewable energy. Austin, Tex: Raintree Steck-Vaughn, 1995.

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Capítulos de livros sobre o assunto "Hybrid renewable energy sources"

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Al-Hallaj, Said, e Kristofer Kiszynski. "Renewable Energy Sources and Energy Conversion Devices". In Hybrid Hydrogen Systems, 9–29. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84628-467-0_2.

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Zohuri, Bahman. "Hydrogen Energy Technology, Renewable Source of Energy". In Hybrid Energy Systems, 135–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70721-1_5.

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Misak, Stanislav, e Lukas Prokop. "Hybrid Off-Grid Systems Using Renewable Energy Sources". In Operation Characteristics of Renewable Energy Sources, 153–235. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43412-4_4.

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Zohuri, Bahman. "Fission Nuclear Power Plants for Renewable Energy Source". In Hybrid Energy Systems, 195–211. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70721-1_7.

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Arockiaraj, Suban Athimoolam e Praveen Kumar Santhakumar. "Design of Hybrid Energy Storage System for Renewable Energy Sources". In Lecture Notes in Electrical Engineering, 333–41. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5994-5_30.

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Hailu, Sintayehu Alemnew, Getachew Biru Worku e Minyamer Gelawe Wase. "Energy Management Control System for Hybrid Renewable Energy Power Sources". In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 464–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93712-6_31.

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Jain, Sachin, e Venu Sonti. "Optimal Design and Analysis of Standalone Hybrid Renewable Energy Sources". In Energy Systems in Electrical Engineering, 175–92. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2800-2_8.

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Nwulu, Nnamdi, e Saheed Lekan Gbadamosi. "Hybrid Grid-Connected Renewable Energy Sources Powered Microgrid with Demand Response". In Green Energy and Technology, 151–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-00395-1_7.

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Sahoo, Subash Chandra, Bhagabat Panda, Ritesh Dash, Babita Panda e Sasmita Kar. "Modeling of Solar Wind Hybrid Renewable Energy Sources in Simulink". In Proceedings of the International Conference on Soft Computing Systems, 939–47. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2671-0_89.

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Nayak, Manas Ranjan, Manoj Saha e Chinmay Kumar Nayak. "Optimal Participation of Hybrid Renewable Energy Sources in Standalone Microgrid". In Advances in Intelligent Systems and Computing, 144–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30465-2_17.

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Trabalhos de conferências sobre o assunto "Hybrid renewable energy sources"

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Priya, Gauri, Rakesh Rohan e Deoraj Kumar Tanti. "Energy Management Systems In Hybrid Renewable Energy Sources". In 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC), 1–7. IEEE, 2024. https://doi.org/10.1109/akgec62572.2024.10869209.

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Musthabad, Ravikanth, e S. Tara Kalyani. "Grid-Integrated Bidirectional Charger with Hybrid Renewable Energy Sources". In 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/sefet61574.2024.10717941.

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Chavan, Prakash, Shivam Patil, Shreya Karavate e Sakshi Pawar. "Artificial Intelligence Driven Grid Integration of Hybrid Renewable Energy Sources". In 2024 4th Asian Conference on Innovation in Technology (ASIANCON), 1–6. IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10838013.

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Sobchuk, Dmytro, Lubov Dobrovolska, Nadiia Kuts, Andrii Hadai, Mykola Romaniuk e Ihor Kundyra. "Reliability and Continuity of Hybrid Power Supply Systems Included Renewable Energy Sources". In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT), 13–18. IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712613.

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Anieze, Anthony Uchenna, Sunday Ojo Fayomi e Desmond Eseoghene Ighravwe. "Assessment of the Viability of Renewable Energy Sources as a Secondary Power Source In Hybrid Communities". In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10629887.

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Kaneva, Tsvetelina, Irena Valova e Tsvetana Halacheva. "An Overview of Monitoring Systems, Methods, and Technologies for Hybrid Renewable Energy Sources". In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES), 1–10. IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811442.

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Kou, Lingyue, Jie Zhou, Feng Zhao, Min Zhao, Xiaowei Fan, Chao Sun, Donghui Jin e Ruizhe Chen. "Research on Hybrid Energy Storage Allocation Methods for Microgrids with a High Percentage of Renewable Energy Sources". In 2024 6th International Conference on Energy Systems and Electrical Power (ICESEP), 868–73. IEEE, 2024. http://dx.doi.org/10.1109/icesep62218.2024.10652019.

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Ender, Tommer, Jonathan Murphy e Comas Haynes. "A Framework for Portfolio Management of Renewable Hybrid Energy Sources". In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781033.

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Guruprasad, B., B. Srimanickam, U. Natarajan, R. Malayalamurthi e A. Elango. "Performance investigation on various models on solar photovoltaic thermal (PVT) hybrid system". In RENEWABLE ENERGY SOURCES AND TECHNOLOGIES. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5127621.

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Pranav, M. S., K. Karunanithi, M. Akhil, S. Sara Vanan, V. M. Afsal e Akhila Krishnan. "Hybrid renewable energy sources (HRES) — A review". In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342553.

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Relatórios de organizações sobre o assunto "Hybrid renewable energy sources"

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

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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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Salonen, Hilma, e Lumi Tomrén. Can local value creation induce a sense of justice during green transitions? A study of six rural areas in Denmark, Finland, and Norway. Nordregio, setembro de 2023. http://dx.doi.org/10.6027/r:2023:91403-2503.

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The accelerating impacts of climate change, the need to adapt to changing economic and political realities, and the recent energy crisis have made the green transition something that most Nordic citizens acknowledge. However, especially rural areas and their communities are at risk of being reduced to passive instruments of national green transition measures featuring heavy land-use. These conditions make it very difficult to create a sense of justness in green transitions, leading to growing sense of alienation and resentment and putting the national climate goals in danger. From this starting point, the case studies of the research project “Just Green Transition on Rural Areas: Local Benefits from Value Creation” set out to examine what kind of benefits would generate value from green transition measures in the direct impact zone of new energy projects. The case studies took place in three Nordic countries and six locations: in Northern Ostrobothnia and Northern Central Finland of Finland, involving wind power and land use planning; in Nord-Fron and Nord-Odal in Norway, involving both wind power and strategic sustainability work; and in Skive and Bornholm of Denmark, involving a hybrid mix of renewable energy sources in the context of industrial park development. The results highlight the importance of local involvement and trust in green energy transitions in Nordic rural areas. Neglecting local needs can cause resistance to renewable projects. Early engagement, transparent communication, and ensuring local benefits are vital. While monetary benefits attract attention, relying solely on them can create community divisions. A blend of community engagement, environmental benefits, and local ownership of projects fosters trust and a deeper sense of justice in these transitions.
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Murphy, Caitlin, Dylan Harrison-Atlas, Nicholas Grue, Thomas Mosier, Juan Gallego-Calderon e Shiloh Elliott. Complementarity of Renewable Energy-Based Hybrid Systems. Office of Scientific and Technical Information (OSTI), abril de 2023. http://dx.doi.org/10.2172/1972008.

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Loktionov, Egor, Alexander Klokov, Alexander Tutunin, Abdula Bakhmadov, Elizaveta Sharaborova, Taisia Sepitko, Sergey Churkin e Aleksei Korshunov. Permafrost thermal stabilization using renewable energy sources. International Permafrost Association (IPA), junho de 2024. http://dx.doi.org/10.52381/icop2024.152.1.

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Obozov, A. J., e W. V. Loscutoff. Opportunities for renewable energy sources in Central Asia countries. Office of Scientific and Technical Information (OSTI), julho de 1998. http://dx.doi.org/10.2172/663593.

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Ruth, Mark, Dylan Cutler, Francisco Flores-Espino, Greg Stark, Thomas Jenkin, Travis Simpkins e Jordan Macknick. The Economic Potential of Two Nuclear-Renewable Hybrid Energy Systems. Office of Scientific and Technical Information (OSTI), agosto de 2016. http://dx.doi.org/10.2172/1285734.

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Bragg-Sitton, Shannon M., Richard Boardman, Cristian Rabiti, Jong Suk Kim, Michael McKellar, Piyush Sabharwall, Jun Chen, M. Sacit Cetiner, T. Jay Harrison e A. Lou Qualls. Nuclear-Renewable Hybrid Energy Systems: 2016 Technology Development Program Plan. Office of Scientific and Technical Information (OSTI), março de 2016. http://dx.doi.org/10.2172/1333006.

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Ruth, Mark, Dylan Cutler, Francisco Flores-Espino, Greg Stark, Thomas Jenkin, Travis Simpkins e Jordan Macknick. The Economic Potential of Two Nuclear-Renewable Hybrid Energy Systems. Office of Scientific and Technical Information (OSTI), agosto de 2016. http://dx.doi.org/10.2172/1333039.

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Aminjonov, Farkhod. Renewable Energy Sources: What should be on the Agenda now? The Representative Office of the Institute for War and Peace Reporting in Central Asia, agosto de 2020. http://dx.doi.org/10.46950/202002.

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Bragg-Sitton, Shannon M., e Richard D. Boardman. Nuclear-Renewable Hybrid Energy Systems: FY17 Stakeholder Engagement and International Activities. Office of Scientific and Technical Information (OSTI), outubro de 2017. http://dx.doi.org/10.2172/1466819.

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