Littérature scientifique sur le sujet « DC NANOGRID »
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Articles de revues sur le sujet "DC NANOGRID"
Rauf, Shoaib, Ali Raza Kalair et Nasrullah Khan. « Variable Load Demand Scheme for Hybrid AC/DC Nanogrid ». International Journal of Photoenergy 2020 (17 avril 2020) : 1–40. http://dx.doi.org/10.1155/2020/3646423.
Texte intégralBarone, Giuseppe, Giovanni Brusco, Daniele Menniti, Anna Pinnarelli, Nicola Sorrentino, Pasquale Vizza, Alessandro Burgio et Ángel A. Bayod-Rújula. « A Renewable Energy Community of DC Nanogrids for Providing Balancing Services ». Energies 14, no 21 (3 novembre 2021) : 7261. http://dx.doi.org/10.3390/en14217261.
Texte intégralSaad, Muhammad, Yongfeng Ju, Husan Ali, Sami Ullah Jan, Dawar Awan, Shahbaz Khan, Abdul Wadood, Bakht Muhammad Khan, Akhtar Ali et Tahir Khurshaid. « Behavioral Modeling Paradigm for DC Nanogrid Based Distributed Energy Systems ». Energies 14, no 23 (25 novembre 2021) : 7904. http://dx.doi.org/10.3390/en14237904.
Texte intégralSkouros, Ioannis, et Athanasios Karlis. « A Study on the V2G Technology Incorporation in a DC Nanogrid and on the Provision of Voltage Regulation to the Power Grid ». Energies 13, no 10 (23 mai 2020) : 2655. http://dx.doi.org/10.3390/en13102655.
Texte intégralSriyono, Sriyono, et Budiyanto Budiyanto. « Studi Penggunaan DC Nanogrid dengan Sumber Photovoltaic pada Beban Bertegangan dibawah Dua Puluh Empat Volt ». RESISTOR (elektRonika kEndali telekomunikaSI tenaga liSTrik kOmputeR) 2, no 1 (1 mai 2019) : 1. http://dx.doi.org/10.24853/resistor.2.1.1-6.
Texte intégralSulaeman, Ilman, Gautham Ram Chandra Mouli, Aditya Shekhar et Pavol Bauer. « Comparison of AC and DC Nanogrid for Office Buildings with EV Charging, PV and Battery Storage ». Energies 14, no 18 (14 septembre 2021) : 5800. http://dx.doi.org/10.3390/en14185800.
Texte intégralSantoro, Danilo, Nicola Delmonte, Marco Simonazzi, Andrea Toscani, Nicholas Rocchi, Giovanna Sozzi, Paolo Cova et Roberto Menozzi. « Local Power Distribution—A Review of Nanogrid Architectures, Control Strategies, and Converters ». Sustainability 15, no 3 (3 février 2023) : 2759. http://dx.doi.org/10.3390/su15032759.
Texte intégralHabeeb, Salwan Ali, Marcos Tostado-Véliz, Hany M. Hasanien, Rania A. Turky, Wisam Kaream Meteab et Francisco Jurado. « DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures : Appraisal, Optimal Scheduling and Analysis ». Electronics 10, no 20 (12 octobre 2021) : 2484. http://dx.doi.org/10.3390/electronics10202484.
Texte intégralMalkawi, Ahmad M. A., et Luiz A. C. Lopes. « Improved Dynamic Voltage Regulation in a Droop Controlled DC Nanogrid Employing Independently Controlled Battery and Supercapacitor Units ». Applied Sciences 8, no 9 (1 septembre 2018) : 1525. http://dx.doi.org/10.3390/app8091525.
Texte intégralMalkawi, Ahmad M. A., Ayman AL-Quraan et Luiz A. C. Lopes. « A Droop-Controlled Interlink Converter for A Dual DC Bus Nanogrid with Decentralized Control ». Sustainability 15, no 13 (30 juin 2023) : 10394. http://dx.doi.org/10.3390/su151310394.
Texte intégralThèses sur le sujet "DC NANOGRID"
Schonberger, John Karl. « Distributed Control of a Nanogrid Using DC Bus Signalling ». Thesis, University of Canterbury. Electrical and Computer Engineering, 2006. http://hdl.handle.net/10092/1072.
Texte intégralHassan, Waqas. « Design and Development of High Voltage Gain and High Efficiency DC-DC Power Converters with Reduced Voltage Stress ». Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23962.
Texte intégralNguyen, Thanh Lich [Verfasser], Gerd [Akademischer Betreuer] Griepentrog et Ulrich [Akademischer Betreuer] Konigorski. « A Control Strategy for Self-Sustained and Flexible DC Nanogrids / Thanh Lich Nguyen ; Gerd Griepentrog, Ulrich Konigorski ». Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2019. http://d-nb.info/1191369897/34.
Texte intégralRichardson, Anthony James. « Determination of nanogram mass and measurement of polymer solution free volume using thickness-shear mode (tsm) quartz resonators ». [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003282.
Texte intégralGUPTA, NIKITA. « MODELLING, DESIGN AND DEVELOPMENT OF PV BASED MICROGRID ». Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16491.
Texte intégral(10730034), Jonathan Ore. « The DC Nanogrid House : Converting a Residential Building from AC to DC Power to Improve Energy Efficiency ». Thesis, 2021.
Trouver le texte intégralThe modern U.S. power grid is susceptible to a variety of vulnerabilities, ranging from aging infrastructure, increasing demand, and unprecedented interactions (e.g., distributed energy resources (DERs) generating energy back to the grid, etc.). In addition, the rapid growth of new technologies such as the Internet of Things (IoT) affords promising new capabilities, but also accompanies a simultaneous risk of cybersecurity deficiencies. Coupled with an electrical network referred to as one of the most complex systems of all time, and an overall D+ rating from the American Society of Civil Engineers (ASCE), these caveats necessitate revaluation of the electrical grid for future sustainability. Several solutions have been proposed, which can operate in varying levels of coordination. A microgrid topology provides a means of enhancing the power grid, but does not fundamentally solve a critical issue surrounding energy consumption at the endpoint of use. This results from the necessary conversion of Alternating Current (AC) power to Direct Current (DC) power in the vast majority of devices and appliances, which leads to a loss in usable energy. This situation is further exacerbated when considering energy production from renewable resources, which naturally output DC power. To transport this energy to the point of application, an initial conversion from DC to AC is necessary (resulting in loss), followed by another conversion back to DC from AC (resulting in loss).
Tackling these losses requires a much finer level of resolution, namely that at the component level. If the network one level below the microgrid, i.e. the nanogrid, operated completely on DC power, these losses could be significantly reduced or nearly eliminated altogether. This network can be composed of appliances and equipment within a single building, coupled with an energy storage device and localized DERs to produce power when feasible. In addition, a grid-tie to the outside AC network can be utilized when necessary to power devices, or satisfy storage needs.
This research demonstrates the novel implementation of a DC nanogrid within a residential setting known as The DC Nanogrid House, encompassing a complete household conversion from AC to DC power. The DC House functions as a veritable living laboratory, housing three graduate students living and working normally in the home. Within the house, a nanogrid design is developed in partnership with renewable energy generation, and controlled through an Energy Management System (EMS). The EMS developed in this project manages energy distribution throughout the house and the bi-directional inverter tied to the outside power grid. Alongside the nanogrid, household appliances possessing a significant yearly energy consumption are retrofitted to accept DC inputs. These modified appliances are tested in a laboratory setting under baseline conditions, and compared against AC equivalent original equipment manufacturer (OEM) models for power and performance analysis. Finally, the retrofitted devices are then installed in the DC Nanogrid House and operated under normal living conditions for continued evaluation.
To complement the DC nanogrid, a comprehensive sensing network of IoT devices are deployed to provide room-by-room fidelity of building metrics, including proximity, air quality, temperature and humidity, illuminance, and many others. The IoT system employs Power over Ethernet (PoE) technology operating directly on DC voltages, enabling simultaneous communication and energy supply within the nanogrid. Using the aggregation of data collected from this network, machine learning models are constructed to identify additional energy saving opportunities, enhance overall building comfort, and support the safety of all occupants.
Nguyen, Thanh Lich. « A Control Strategy for Self-Sustained and Flexible DC Nanogrids ». Phd thesis, 2019. https://tuprints.ulb.tu-darmstadt.de/8908/1/2019-07-17-Nguyen%20Thanh%20Lich.pdf.
Texte intégralChapitres de livres sur le sujet "DC NANOGRID"
Shankar, Praveen, et Rakesh Maurya. « A Power Converter for Stand-Alone Nanogrid with the Feature of DC Microgrid Applications ». Dans Lecture Notes in Electrical Engineering, 113–23. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1978-6_10.
Texte intégralBauomy, Maged F., Haytham Gamal et Adel A. Shaltout. « Solar PV DC nanogrid dynamic modeling applying the polynomial computational method for MPPT ». Dans Advances in Clean Energy Technologies, 19–87. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-821221-9.00002-5.
Texte intégralActes de conférences sur le sujet "DC NANOGRID"
Kang, GoWoon, JooWon Park, SooHyun Shin et HyoSik Yang. « DC Nanogrid using IEC 61850 ». Dans 2023 25th International Conference on Advanced Communication Technology (ICACT). IEEE, 2023. http://dx.doi.org/10.23919/icact56868.2023.10079288.
Texte intégralJoseph, Sigi C., V. Chandrasekar, P. R. Dhanesh, Ajlif A. Mohammed et S. Ashok. « Battery Management System for DC Nanogrid ». Dans 2018 20th National Power Systems Conference (NPSC). IEEE, 2018. http://dx.doi.org/10.1109/npsc.2018.8771838.
Texte intégralParajuli, S., Anuradha Tomar et Phuong Hong Nguyen. « Coordinated Control of DC-Nanogrid Cluster ». Dans 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE). IEEE, 2022. http://dx.doi.org/10.1109/pesgre52268.2022.9715927.
Texte intégralSilva, David, Ricardo Aceves et Ernesto Sanchez. « Multifunction controller and DC revenue meter for nanogrid ». Dans 2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE, 2017. http://dx.doi.org/10.1109/icdcm.2017.8001068.
Texte intégralMujumdar, Uday B., et D. R. Tutkane. « Parallel MPPT for PV based residential DC Nanogrid ». Dans 2015 International Conference on Industrial Instrumentation and Control (ICIC). IEEE, 2015. http://dx.doi.org/10.1109/iic.2015.7150958.
Texte intégralJoseph, Sigi C., Ajlif A. Mohammed, P. R. Dhanesh et S. Ashok. « Smart Power Management for DC Nanogrid Based Building ». Dans 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2018. http://dx.doi.org/10.1109/raics.2018.8635070.
Texte intégralAmrane, Y., N. E. Y. Kouba, Y. Hentabli et H. Mohamed-Seghir. « Intelligent Energy Management for a Building DC Nanogrid ». Dans 2022 IEEE 21st International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2022. http://dx.doi.org/10.1109/sta56120.2022.10019027.
Texte intégralBauomy, Maged F., Haytham Gamal et Adel A. Shaltout. « Wind Energy DC Nanogrid Dynamic Modelling and MPPT Operation ». Dans 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE). IEEE, 2019. http://dx.doi.org/10.1109/sgre46976.2019.9021107.
Texte intégralBarone, Giuseppe, Giovanni Brusco, Daniele Menniti, Anna Pinnarelli, Gaetano Polizzi, Nicola Sorrentino et Pasquale Vizza. « Numerical Simulation of a modular and expandable DC nanoGrid ». Dans 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2022. http://dx.doi.org/10.1109/eeeic/icpseurope54979.2022.9854533.
Texte intégralRoasto, Indrek, Andrei Blinov et Dmitri Vinnikov. « Soft Start Algorithm for a Droop Controlled dc Nanogrid ». Dans 2022 18th Biennial Baltic Electronics Conference (BEC). IEEE, 2022. http://dx.doi.org/10.1109/bec56180.2022.9935608.
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