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Artykuły w czasopismach na temat "DC NANOGRID"
Rauf, Shoaib, Ali Raza Kalair i Nasrullah Khan. "Variable Load Demand Scheme for Hybrid AC/DC Nanogrid". International Journal of Photoenergy 2020 (17.04.2020): 1–40. http://dx.doi.org/10.1155/2020/3646423.
Pełny tekst źródłaBarone, Giuseppe, Giovanni Brusco, Daniele Menniti, Anna Pinnarelli, Nicola Sorrentino, Pasquale Vizza, Alessandro Burgio i Ángel A. Bayod-Rújula. "A Renewable Energy Community of DC Nanogrids for Providing Balancing Services". Energies 14, nr 21 (3.11.2021): 7261. http://dx.doi.org/10.3390/en14217261.
Pełny tekst źródłaSaad, Muhammad, Yongfeng Ju, Husan Ali, Sami Ullah Jan, Dawar Awan, Shahbaz Khan, Abdul Wadood, Bakht Muhammad Khan, Akhtar Ali i Tahir Khurshaid. "Behavioral Modeling Paradigm for DC Nanogrid Based Distributed Energy Systems". Energies 14, nr 23 (25.11.2021): 7904. http://dx.doi.org/10.3390/en14237904.
Pełny tekst źródłaSkouros, Ioannis, i 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, nr 10 (23.05.2020): 2655. http://dx.doi.org/10.3390/en13102655.
Pełny tekst źródłaSriyono, Sriyono, i 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, nr 1 (1.05.2019): 1. http://dx.doi.org/10.24853/resistor.2.1.1-6.
Pełny tekst źródłaSulaeman, Ilman, Gautham Ram Chandra Mouli, Aditya Shekhar i Pavol Bauer. "Comparison of AC and DC Nanogrid for Office Buildings with EV Charging, PV and Battery Storage". Energies 14, nr 18 (14.09.2021): 5800. http://dx.doi.org/10.3390/en14185800.
Pełny tekst źródłaSantoro, Danilo, Nicola Delmonte, Marco Simonazzi, Andrea Toscani, Nicholas Rocchi, Giovanna Sozzi, Paolo Cova i Roberto Menozzi. "Local Power Distribution—A Review of Nanogrid Architectures, Control Strategies, and Converters". Sustainability 15, nr 3 (3.02.2023): 2759. http://dx.doi.org/10.3390/su15032759.
Pełny tekst źródłaHabeeb, Salwan Ali, Marcos Tostado-Véliz, Hany M. Hasanien, Rania A. Turky, Wisam Kaream Meteab i Francisco Jurado. "DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis". Electronics 10, nr 20 (12.10.2021): 2484. http://dx.doi.org/10.3390/electronics10202484.
Pełny tekst źródłaMalkawi, Ahmad M. A., i Luiz A. C. Lopes. "Improved Dynamic Voltage Regulation in a Droop Controlled DC Nanogrid Employing Independently Controlled Battery and Supercapacitor Units". Applied Sciences 8, nr 9 (1.09.2018): 1525. http://dx.doi.org/10.3390/app8091525.
Pełny tekst źródłaMalkawi, Ahmad M. A., Ayman AL-Quraan i Luiz A. C. Lopes. "A Droop-Controlled Interlink Converter for A Dual DC Bus Nanogrid with Decentralized Control". Sustainability 15, nr 13 (30.06.2023): 10394. http://dx.doi.org/10.3390/su151310394.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaHassan, 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.
Pełny tekst źródłaNguyen, Thanh Lich [Verfasser], Gerd [Akademischer Betreuer] Griepentrog i 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.
Pełny tekst źródłaRichardson, 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.
Pełny tekst źródłaGUPTA, NIKITA. "MODELLING, DESIGN AND DEVELOPMENT OF PV BASED MICROGRID". Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16491.
Pełny tekst źródła(10730034), Jonathan Ore. "The DC Nanogrid House: Converting a Residential Building from AC to DC Power to Improve Energy Efficiency". Thesis, 2021.
Znajdź pełny tekst źródłaThe 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.
Pełny tekst źródłaCzęści książek na temat "DC NANOGRID"
Shankar, Praveen, i Rakesh Maurya. "A Power Converter for Stand-Alone Nanogrid with the Feature of DC Microgrid Applications". W Lecture Notes in Electrical Engineering, 113–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1978-6_10.
Pełny tekst źródłaBauomy, Maged F., Haytham Gamal i Adel A. Shaltout. "Solar PV DC nanogrid dynamic modeling applying the polynomial computational method for MPPT". W Advances in Clean Energy Technologies, 19–87. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-821221-9.00002-5.
Pełny tekst źródłaStreszczenia konferencji na temat "DC NANOGRID"
Kang, GoWoon, JooWon Park, SooHyun Shin i HyoSik Yang. "DC Nanogrid using IEC 61850". W 2023 25th International Conference on Advanced Communication Technology (ICACT). IEEE, 2023. http://dx.doi.org/10.23919/icact56868.2023.10079288.
Pełny tekst źródłaJoseph, Sigi C., V. Chandrasekar, P. R. Dhanesh, Ajlif A. Mohammed i S. Ashok. "Battery Management System for DC Nanogrid". W 2018 20th National Power Systems Conference (NPSC). IEEE, 2018. http://dx.doi.org/10.1109/npsc.2018.8771838.
Pełny tekst źródłaParajuli, S., Anuradha Tomar i Phuong Hong Nguyen. "Coordinated Control of DC-Nanogrid Cluster". W 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE). IEEE, 2022. http://dx.doi.org/10.1109/pesgre52268.2022.9715927.
Pełny tekst źródłaSilva, David, Ricardo Aceves i Ernesto Sanchez. "Multifunction controller and DC revenue meter for nanogrid". W 2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE, 2017. http://dx.doi.org/10.1109/icdcm.2017.8001068.
Pełny tekst źródłaMujumdar, Uday B., i D. R. Tutkane. "Parallel MPPT for PV based residential DC Nanogrid". W 2015 International Conference on Industrial Instrumentation and Control (ICIC). IEEE, 2015. http://dx.doi.org/10.1109/iic.2015.7150958.
Pełny tekst źródłaJoseph, Sigi C., Ajlif A. Mohammed, P. R. Dhanesh i S. Ashok. "Smart Power Management for DC Nanogrid Based Building". W 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2018. http://dx.doi.org/10.1109/raics.2018.8635070.
Pełny tekst źródłaAmrane, Y., N. E. Y. Kouba, Y. Hentabli i H. Mohamed-Seghir. "Intelligent Energy Management for a Building DC Nanogrid". W 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.
Pełny tekst źródłaBauomy, Maged F., Haytham Gamal i Adel A. Shaltout. "Wind Energy DC Nanogrid Dynamic Modelling and MPPT Operation". W 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE). IEEE, 2019. http://dx.doi.org/10.1109/sgre46976.2019.9021107.
Pełny tekst źródłaBarone, Giuseppe, Giovanni Brusco, Daniele Menniti, Anna Pinnarelli, Gaetano Polizzi, Nicola Sorrentino i Pasquale Vizza. "Numerical Simulation of a modular and expandable DC nanoGrid". W 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.
Pełny tekst źródłaRoasto, Indrek, Andrei Blinov i Dmitri Vinnikov. "Soft Start Algorithm for a Droop Controlled dc Nanogrid". W 2022 18th Biennial Baltic Electronics Conference (BEC). IEEE, 2022. http://dx.doi.org/10.1109/bec56180.2022.9935608.
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