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Статті в журналах з теми "Electric power production – Geographic information systems"
Wang, Qiong, and Yan Li. "Research on Simulation of Distribution Network Engineering Scene Based on 3D GIS Technology." Wireless Communications and Mobile Computing 2022 (January 31, 2022): 1–9. http://dx.doi.org/10.1155/2022/7736655.
Повний текст джерелаTian, Dong, Min Zhang, Xuejian Wei, Jing Wang, Weisong Mu, and Jianying Feng. "GIS-Based Energy Consumption and Spatial Variation of Protected Grape Cultivation in China." Sustainability 10, no. 9 (September 12, 2018): 3248. http://dx.doi.org/10.3390/su10093248.
Повний текст джерелаGnagbolou, Yao, Macaire B. Agbomahena, Gabin Koto N’gobi, and Dr Maurel Richy Aza-gnandji. "Climate Vulnerability of Photovoltaic Energy Systems using GIS: Case of the Plateau Department." International Journal of Engineering and Advanced Technology 12, no. 2 (December 30, 2022): 67–74. http://dx.doi.org/10.35940/ijeat.b3921.1212222.
Повний текст джерелаAgostinelli, Sofia, Fabrizio Cumo, Meysam Majidi Nezhad, Giuseppe Orsini, and Giuseppe Piras. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy." Energies 15, no. 5 (March 1, 2022): 1817. http://dx.doi.org/10.3390/en15051817.
Повний текст джерелаKalyan, Sumit, and Qian (Chayn) Sun. "Interrogating the Installation Gap and Potential of Solar Photovoltaic Systems Using GIS and Deep Learning." Energies 15, no. 10 (May 19, 2022): 3740. http://dx.doi.org/10.3390/en15103740.
Повний текст джерелаMilosavljević, Dragana D., Tijana S. Kevkić, and Slavica J. Jovanović. "Review and validation of photovoltaic solar simulation tools/software based on case study." Open Physics 20, no. 1 (January 1, 2022): 431–51. http://dx.doi.org/10.1515/phys-2022-0042.
Повний текст джерелаMalagnino, Remo Alessio. "Performance analysis of photovoltaic plants installed in dairy cattle farms." Journal of Agricultural Engineering 46, no. 2 (June 30, 2015): 62. http://dx.doi.org/10.4081/jae.2015.455.
Повний текст джерелаCoban, Hasan Huseyin, Wojciech Lewicki, Radosław Miśkiewicz, and Wojciech Drożdż. "The Economic Dimension of Using the Integration of Highway Sound Screens with Solar Panels in the Process of Generating Green Energy." Energies 16, no. 1 (December 23, 2022): 178. http://dx.doi.org/10.3390/en16010178.
Повний текст джерелаAlhammad, Abdulaziz, Qian (Chayn) Sun, and Yaguang Tao. "Optimal Solar Plant Site Identification Using GIS and Remote Sensing: Framework and Case Study." Energies 15, no. 1 (January 3, 2022): 312. http://dx.doi.org/10.3390/en15010312.
Повний текст джерелаBallance, A., D. Stephenson, R. A. Chapman, and J. Muller. "A geographic information systems analysis of hydro power potential in South Africa." Journal of Hydroinformatics 2, no. 4 (October 1, 2000): 247–54. http://dx.doi.org/10.2166/hydro.2000.0022.
Повний текст джерелаДисертації з теми "Electric power production – Geographic information systems"
Wei, Xinguo. "Object-oriented electric distribution system data modeling in a GIS context /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/5845.
Повний текст джерелаStuntebeck, Erich Peter. "An analysis of the domestic power line infrastructure to support indoor real-time localization." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34678.
Повний текст джерелаHäggblom, Johan, and Jonathan Jerner. "Photovoltaic Power Production and Energy Storage Systems in Low-Voltage Power Grids." Thesis, Linköpings universitet, Fordonssystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156875.
Повний текст джерелаPå senare tid har det skett en ökning i antalet solcellsanläggningar som installeras i elnätet och dessa är ofta placerade i distributionsnäten nära hushållen. Eftersom distributionsnäten sällan är dimensionerade för produktion så behöver man utreda effekten av det. I det här arbetet visas det att solcellsproduktion kommer att öka spänningen i elnätet, potentiellt så mycket att de gränser elnätsägarna måste hålla nätet inom överstigs. En modell över lågspänningsnätet skapas i MathWorks MATLAB. Modellen innehåller transformator, kablar, hushåll, energilager och solcellsanläggningar. Systemet simuleras med hjälp av en numerisk Forward Backward Sweep-lösare som beräknar effekter, strömmar och spänningar i elnätet. Solcellanläggningarna placeras ut i elnätet i olika konfigurationer tillsammans med olika konfigurationer av energilager. Resultaten från simuleringarna analyseras främst med avseende på spänningen i elnätet utifrån dess gränser. De slutsatser som dras i arbetet är att solcellsproduktion kommer att påverka spänningen, mycket beroende på var i elnätet anläggningarna placeras och storleken hos dem. Det visas också att energilager, justering av effektfaktor hos solcellsanläggningarna eller en spänningssänkning på transformatorns lågspänningssida kan få ner spänningen i elnätet.
LiTH-ISY-EX--19/5194--SE
Kotoane, Mapule. "Modelling risk of Blue Crane (Anthropoides paradiseus) collision with power lines in the Overberg region." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50024.
Повний текст джерелаENGLISH ABSTRACT: This study addresses the problem of Blue Crane (Anthropoides paradiseus) collisions with power lines in the Overberg region, home to approximately 50% of South Africa's national bird's global population. The low visibility of power lines against the landscape is considered to be the major cause of collisions. These claim at least 20 birds annually, which is a considerable loss to a vulnerable species. For this study, expert knowledge of the Blue Cranes' biology, general behaviour and use of its habitat were compiled. These were then translated into rules that were integrated into a Geographic Information System (GIS) to establish a predictive model, which attempts to identify and quantify risk power lines that Blue Cranes are most likely to collide with. The criteria that were considered included landscape proximity of power lines to water bodies arid congregation sites, land cover, power lines orientation in relation to predominant wind directions (North Westerly and South Easterly) and visibility of the power lines against the landscape. The power lines were ranked as highest, high, medium, low and no risk. It is recommended that this classification be used to prioritize the proactive marking of power lines with bird flappers in order to reduce collisions. The results show that 27% of the power lines in the study area pose the highest risk and should therefore be marked immediately. The power lines classified as high (1%), medium (28%) and low risk (21 %) should be marked over short, medium and long term, respectively .. The study demonstrated the potential of GIS in the conservation of Blue Crane. The GIS model developed in this study can be applied in areas of similar habitat such as the Swartland or with some modifications in a slightly different habitat such as the Karoo. It is envisaged that the results of this study will be of great value to the ESKOM (South African Electricity Commission) and Endangered Wildlife Trust (EWT) Partnership and conservation authorities in the effort to save the Blue Crane.
AFRIKAANSE OPSOMMING: Hierdie studie het die probleem van botsings deur Bloukraanvoëls met kraglyne in die Overberg-omgewing van die Wes-Kaap ondersoek. Die Overberg-omgewing huisves ongeveer 50% van Suid Afrikaanse nasionale voël se wêreldbevolking van Bloukraanvoëls, en aangesien kraglyne normaalweg nie maklik sigbaar is teen die landskapsagtergrond nie, verhoog dit, tesame met die biologiese eienskappe van Bloukraanvoëls, die waarskynlikheid dat die voëls met kraglyne sal bots. Hierdie botsings met kraglyne eis minstens 20 Bloukraanvoëls per jaar, wat 'n aansienlike en beduidende aantal vir 'n kritiese bedreigde spesie is. Die studie het gepoog om spesialiskennis oor Bloukraanvoël-biologie, algemene gedrag en habitatgebruik, om te sit in 'n stel reëls, wat in 'n Geografiese Inligtingstelsel (GIS) geïntegreer is om 'n voorspellingsmodel te bou. Hierdie voorspellingsmodel is aangewend om kraglyne wat 'n hoë risiko vir Bloukraanvoëls inhou, te identifiseer en die waarskynlikheid vir botsings te kwantifiseer. Die model aanvaar dat die volgende omgewingsfaktore in die Overberg-omgewing verband hou met die waarskynlikheid van botsings, naamlik: die nabyheid van kraglyne aan waterliggame of gebiede waar voëls saamtrek, die voorkoms van natuurlike veld, die heersende windrigtings (Noordwes en Noordoos) en lae sigbaarheid van kraglyne teen die donker landskapsagtergrond. Die geïdentifiseerde kraglyne is as eerste-, tweede, derde. en vierderangse prioriteit geprioritiseer om as riglyn te dien vir die proaktiewe aanbring van flappers (wat dit ten doel het om voëlbotsings te verminder) deur ESKOM. Die studie het bevind dat 27% van die kraglyne in die Overberg-omgewing eersterang prioriteite is, en dat hierdie kraglyne onmiddellik gemerk sal moet word. Die tweederang prioriteit kraglyne (1%) saloor die mediumtermyn gemerk word, terwyl die derderangse prioriteit kraglyne (28%) oor die langtermyn gemerk sal word. Die vierde prioriteit kraglyne (21 %) kon oor die langertermyn gemerk word. Die studie het die omvang van die probleem, sowel as die rol van GIS in die bewaring van die Bloukraanvoëls beklemtoon. Die GIS-model wat in die studie ontwikkel en gebruik is, kan in soortgelyke gebiede soos die Swartland, of in ietwat verskillende omgewings soos die Karoo getoets word, met die doelom die habitatvoorkeure van Bloukraanvoëls beter te verstaan en navorsers te help om 'n beter begrip van die model te ontwikkel en sodoende die resultate te verbeter. Dit word voorsien dat hierdie studie en verslag baie belangrik sal wees vir die ESKOM-EWT Vennootskap en ander betrokke bewaringsorganisasies in 'n poging om Bloukraanvoël-bewaring aan te help.
Книги з теми "Electric power production – Geographic information systems"
Meehan, Bill. GIS for enhanced electric utility performance. Boston: Artech House, 2013.
Знайти повний текст джерелаEmpowering electric and gas utilities with GIS. Redlands, Calif: ESRI Press, 2007.
Знайти повний текст джерелаMeehan, Bill. Empowering electric and gas utilities with GIS. Redlands, Calif: ESRI Press, 2007.
Знайти повний текст джерелаservice), SpringerLink (Online, ed. Rhodes Framework for Android™ Platform and BlackBerry® Smartphones. Boston, MA: Springer US, 2012.
Знайти повний текст джерелаPathak, Manas A. Privacy-Preserving Machine Learning for Speech Processing. New York, NY: Springer New York, 2013.
Знайти повний текст джерелаUnited Nations. Dept. of Economic and Social Affairs., ed. Geographic information systems for power system planning. New York: United Nations, 1997.
Знайти повний текст джерелаModeling Electric Distribution With Gis. Esri Press, 2013.
Знайти повний текст джерелаMeehan, Bill. Empowering Electric and Gas Utilities with GIS. ESRI Press, 2007.
Знайти повний текст джерелаPathak, Manas A. Privacy-Preserving Machine Learning for Speech Processing. Springer New York, 2014.
Знайти повний текст джерелаЧастини книг з теми "Electric power production – Geographic information systems"
Messineo, Antonio, Domenico Panno, and Roberto Volpe. "Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily." In Geographic Information Systems, 1411–20. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch085.
Повний текст джерелаMeiton, Fredrik. "Expert Revolutionary." In Electrical Palestine, 21–50. University of California Press, 2018. http://dx.doi.org/10.1525/california/9780520295889.003.0002.
Повний текст джерелаAvery, William H., and Chih Wu. "OTEC Economics." In Renewable Energy from the Ocean. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195071993.003.0015.
Повний текст джерелаТези доповідей конференцій з теми "Electric power production – Geographic information systems"
Garcia-Garrido, Eduardo, L. Alfredo Fernandez-Jimenez, Montserrat Mendoza-Villena, Pedro M. Lara-Santillan, Pedro J. Zorzano-Santamaria, Enrique Zorzano-Alba, and Alberto Falces. "Electric Power Distribution Planning Tool Based on Geographic Information Systems and Evolutionary Algorithms." In 2017 European Conference on Electrical Engineering and Computer Science (EECS). IEEE, 2017. http://dx.doi.org/10.1109/eecs.2017.79.
Повний текст джерелаBrignone, Massimo, Federico Delfino, Matteo Fichera, Renato Procopio, Luca Barillari, and Alessandro Nilberto. "Optimal thermal power production by means of an equivalent electric circuit for a thermal network: The Savona Campus Smart Polygeneration Microgrid case." In 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, 2016. http://dx.doi.org/10.1109/iisa.2016.7785394.
Повний текст джерелаFanney, A. Hunter, Mark W. Davis, Brian P. Dougherty, David L. King, William E. Boyson, and Jay A. Kratochvil. "Comparison of Photovoltaic Module Performance Measurements." In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76086.
Повний текст джерелаRamaswamy, Deepa. "Processes That Enable the Development of Production Control Systems for Hybrids/Alternative Energy Vehicles." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29176.
Повний текст джерелаHentea, Mariana. "Improving Security for SCADA Control Systems." In InSITE 2008: Informing Science + IT Education Conference. Informing Science Institute, 2008. http://dx.doi.org/10.28945/3185.
Повний текст джерелаLeighty, William C. "Running the World on Renewables: Hydrogen Transmission Pipelines With Firming Geologic Storage." In ASME 2008 Power Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/power2008-60031.
Повний текст джерелаHomChaudhuri, Baisravan, Manish Kumar, and Vijay Devabhaktuni. "A Market Based Distributed Optimization for Power Allocation in Smart Grid." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6140.
Повний текст джерелаMaulidani, Oki, Christian Bonilla, Monica Paredes, Pedro Escalona, Jorge Villalobos, Luciano Bravo, Diego Estevez, et al. "Digitalization Creates the Big Picture of Integrated ESP Optimization in Shushufindi Field." In SPE Gulf Coast Section Electric Submersible Pumps Symposium. SPE, 2021. http://dx.doi.org/10.2118/204513-ms.
Повний текст джерелаFeitosa, Eduardo, Luis Oliveira, Bruno Lins, Ademir Junior, Rodrigo Melo, Djamel Sadok, and Ubiratan Carmo. "Security Information Architecture for Automation and Control Networks." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2008. http://dx.doi.org/10.5753/sbseg.2008.20885.
Повний текст джерелаCarter, Thomas P., James W. Furlong, Sean P. Bushart, and Jessica Shi. "Wet, Dry, and Hybrid Heat Rejection System Impacts on the Economic Performance of a Thermoelectric Power Plant Subjected to Varying Degrees of Water Constraint." In ASME 2014 Power Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/power2014-32051.
Повний текст джерелаЗвіти організацій з теми "Electric power production – Geographic information systems"
Little, Charles, and David Biedenharn. Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers : channel geometry analysis. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45147.
Повний текст джерела