Academic literature on the topic 'Grid modeling'
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Journal articles on the topic "Grid modeling"
Khokhlov, Nikolai Igorevich, Vladislav O. Stetsyuk, and Ivan A. Mitskovets. "Overset grids approach for topography modeling in elastic-wave modeling using the grid-characteristic method." Computer Research and Modeling 11, no. 6 (December 2019): 1049–59. http://dx.doi.org/10.20537/2076-7633-2019-11-6-1049-1059.
Full textRosay, Sophie, Simon Weber, and Marcello Mulas. "Modeling grid fields instead of modeling grid cells." Journal of Computational Neuroscience 47, no. 1 (July 8, 2019): 43–60. http://dx.doi.org/10.1007/s10827-019-00722-8.
Full textMacDonald, Alexander E., Jacques Middlecoff, Tom Henderson, and Jin-Luen Lee. "A general method for modeling on irregular grids." International Journal of High Performance Computing Applications 25, no. 4 (December 5, 2010): 392–403. http://dx.doi.org/10.1177/1094342010385019.
Full textXu, S., B. Wang, and J. Liu. "On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models." Geoscientific Model Development 8, no. 10 (October 29, 2015): 3471–85. http://dx.doi.org/10.5194/gmd-8-3471-2015.
Full textXu, S., B. Wang, and J. Liu. "On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models." Geoscientific Model Development Discussions 8, no. 2 (February 13, 2015): 1337–73. http://dx.doi.org/10.5194/gmdd-8-1337-2015.
Full textBaboshin, Andrey. "Ontology modeling of grid-applications." SPIIRAS Proceedings, no. 11 (March 17, 2014): 252. http://dx.doi.org/10.15622/sp.11.16.
Full textKaramchandani, Prakash, Krish Vijayaraghavan, and Greg Yarwood. "Sub-Grid Scale Plume Modeling." Atmosphere 2, no. 3 (August 24, 2011): 389–406. http://dx.doi.org/10.3390/atmos2030389.
Full textIvanenko, Sergey A., and Galina V. Muratova. "Adaptive grid shallow water modeling." Applied Numerical Mathematics 32, no. 4 (April 2000): 447–82. http://dx.doi.org/10.1016/s0168-9274(99)00063-x.
Full textChitkusheva-Dimitrovska, Biljana, Marko Cepin, Roman Golubovski, and Hristina Spasevska. "Modeling photovoltaic grid inter-shading." Thermal Science 24, no. 6 Part B (2020): 4183–95. http://dx.doi.org/10.2298/tsci200116169c.
Full textLudwig, A. "Wire grid modeling of surfaces." IEEE Transactions on Antennas and Propagation 35, no. 9 (September 1987): 1045–48. http://dx.doi.org/10.1109/tap.1987.1144220.
Full textDissertations / Theses on the topic "Grid modeling"
Sjolte, Jonas. "Marine renewable energy conversion : Grid and off-grid modeling, design and operation." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elkraftteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26004.
Full textLiu, Xin. "Scalable online simulation for modeling grid dynamics /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3158471.
Full textElyas, Seyyed Hamid 8045266. "Synthetic Modeling of Power Grids Based on Statistical Analysis." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4888.
Full textBürgler, Josef Franz. "Discretization and grid adaptation in semiconductor device modeling /." [S.l.] : [s.n.], 1990. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9146.
Full textSrivastava, Ravi K. "An Adaptive Grid Algorithm for Air Quality Modeling." NCSU, 1998. http://www.lib.ncsu.edu/theses/available/etd-19980919-174712.
Full textSRIVASTAVA, RAVI K. An Adaptive Grid Algorithm for Air Quality Modeling. (Under the direction of Dr. D. Scott McRae.)The physical and chemical processes responsible for air pollution span a wide range of spatial scales. For example, there may be point sources, such as power plants that are characterized by relatively small spatial scales compared to the size of the region that may be impacted by such sources. To obtain accurate distributions of pollutants in an air quality simulation, the pertinent spatial scales can be resolved by varying the physical grid node spacing.A new dynamic adaptive grid algorithm, the Dynamic Solution Adaptive Grid Algorithm - PPM (DSAGA-PPM), is developed for use in air quality modeling. Given a fixed number of grid nodes, DSAGA-PPM distributes these nodes in response to spatial resolution requirements of the solution field and then updates the solution field based on the resulting distribution of nodes. DSAGA-PPM is implemented dynamically to resolve any evolving solution features. Tests with model problems demonstrate that DSAGA-PPM calculates advection much more accurately than the corresponding static grid algorithm (SGA-PPM) and, therefore, would assure more accurate starting concentrations for chemistry calculations. For example, after one revolution of four rotating cones, 87% of each of the cone peaks is retained using DSAGA-PPM while only 63% is retained using SGA-PPM. The root-mean-square errors in DSAGA-PPM results are about 4-5 times lower than those in the corresponding SGA-PPM results. Tests with reacting species and sources demonstrate that DSAGA-PPM provides the needed solution resolution. In simulations of a rotating and reacting conical puff, the root-mean-square errors in DSAGA-PPM results are about 4-6 times lower than those in the corresponding SGA-PPM results. In simulations of a power plant plume, the DSAGA-PPM solution reflects the early, the intermediate, and the mature stages of plume development; these stages are not seen in the corresponding SGA-PPM solution. Finally, it is demonstrated that DSAGA-PPM provides an accurate description of the ozone production resulting due to dynamic interactions between emissions from two power plants and an urban area. In general, these results reflect that DSAGA-PPM is able to provide accurate spatial and temporal resolution of rapidly changing and complex concentration fields. Performance achieved by DSAGA-PPM in model problem simulations indicates that it can provide accurate air quality modeling solutions at costs 10 times less than those incurred in obtaining equivalent static grid solutions.
Hayashi, Koichi 1967. "Variable grid finite-difference modeling including surface topography." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9367.
Full text"August 6, 1999."
Includes bibliographical references (leaves 188-190).
We have developed a two-dimensional viscoelastic finite-difference modeling method for highly complex surface topography and subsurface structures. Realistic modeling of seismic wave propagation in the near surface region is complicated by many factors, such as strong heterogeneity, topographic relief and large attenuation. In order to account for these complications, we use a velocity-stress staggered grid and employ an 0(2,4) accurate viscoelastic finite-difference scheme. The implementation includes an irregular free surface condition for topographic relief and a variable grid technique in the shallow parts of the model. Several methods of free surface condition are bench marked, and an accurate and simple condition is proposed. In the proposed free surface condition, stresses are calculated so that the shear and normal stresses perpendicular to the boundary are zero. The calculation of particle velocities does not involve any specific calculations, and the particle velocities are set to zero above the free surface. A stable variable grid method is introduced, where we use a three times finer grid in the near surface or low velocity region compared to the rest of the model. In order to reduce instability, we apply averaging or weighting to the replacement of the coarse grid components within the fine grid. The method allows us to avoid any limitation of the shape of the grid size boundary. Numerical tests indicate that approximately ten grid-points per shortest wavelength with the variable grid method results in accurate calculations. The method requires a stair-shaped discretization of a free surface. We investigated the stair-shaped structures, and found that the cause of the dispersion from irregular free surface is mainly a numerical error due to the large grid sizes rather than the Rayleigh waves scattering due to the stair-shaped boundary. The finite-difference modeling is applied to the investigation of near surface wave propagation. Several numerical simulations are performed to show the characters of wave propagation in the near surface region. The simulations show that the low velocity thin layers just below the surface and anelastic attenuation have significant effect on surface seismic record. The 2-D modeling of near surface structure beneath a 2-D refraction survey line is carried out. The comparison of the observed data with theoretical waveforms is performed. The characters in the observed data can be explained by a subsurface model constructed by P-wave traveltime tomography.
by Koichi Hayashi.
S.M.
Sankaran, Vaidyanathan. "Sub-grid Combustion Modeling for Compressible Two-Phase Flows." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5274.
Full textMiller, Daniel K. "Wire grid modeling of the Linearly Tapered Slot Antenna." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/26339.
Full textIlves, Kalle. "Modeling and Design of Modular MultilevelConverters for Grid Applications." Licentiate thesis, KTH, Elektrisk energiomvandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105779.
Full textQC 20121127
Stergiadis, Dimitris. "Persona modeling by crowdsourcing using the repertory grid technique." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140916.
Full textBooks on the topic "Grid modeling"
Guo, Hui. Measurement-based load modeling for smart grid planning. Magdeburg: Otto-von-Guericke-Universität Magdeburg, 2012.
Find full textBürgler, Josef F. Discretization and grid adaptation in semiconductor device modeling. Konstanz: Hartung-Gorre, 1990.
Find full textMazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.
Full textMiller, Daniel K. Wire grid modeling of the Linearly Tapered Slot Antenna. Monterey, Calif: Naval Postgraduate School, 1989.
Find full textPham, Tien D. Wire grid modeling for microwave heating and termal runway. Ottawa: National Library of Canada, 1991.
Find full textPlikas, Atanasis. Numerical modeling of fibre suspensions in grid-generated turbulent flow. Ottawa: National Library of Canada, 2000.
Find full textHeidmann, James D. Coarse grid modeling of turbine film cooling flows using volumetric source terms. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.
Find full textAbdelaziz Mohamed, Mohamed, and Ali Mohamed Eltamaly. Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-64795-1.
Full textCenter, Lewis Research. Surface modeling, grid generation, and related issues in computational fluid dynamic (CFD) solutions: Proceedings of a workshop sponsored by the NASA Steering Committee on Surface Modeling and Grid Generation and held at NASA Lewis Research Center, Cleveland, Ohio, May 9-11, 1995. Cleveland, Ohio: Lewis Research Center, 1995.
Find full textBarger, Raymond L. Trajectory fitting in function space with application to analytic modeling of surfaces. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.
Find full textBook chapters on the topic "Grid modeling"
Zou, Shengrong. "Modeling Distributed Algorithm Using B." In Grid and Cooperative Computing, 683–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24680-0_108.
Full textLai, Hong Feng. "Modeling Grid Workflow by Coloured Grid Service Net." In Advances in Grid and Pervasive Computing, 204–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13067-0_24.
Full textLi, Baiyan, Wensheng Yao, and Jinyuan You. "Modeling Trust Management System for Grids." In Grid and Cooperative Computing, 899–906. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24679-4_151.
Full textKerbyson, Darren J., Adolfy Hoisie, and Shawn D. Pautz. "Performance Modeling of Deterministic Transport Computations." In Performance Analysis and Grid Computing, 21–39. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0361-3_2.
Full textHuang, Chenlin, Hua-Ping Hu, and Zhiying Wang. "Modeling Time-Related Trust." In Grid and Cooperative Computing - GCC 2004 Workshops, 382–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30207-0_48.
Full textHuang, Sen, Thomas Sevilla, and Wangda Zuo. "Modeling in building-to-grid integration." In Building Performance Simulation for Design and Operation, 559–85. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9780429402296-17.
Full textCope, Jason, Craig Hartsough, Peter Thornton, Henry Tufo, Nathan Wilhelmi, and Matthew Woitaszek. "Grid-BGC: A Grid-Enabled Terrestrial Carbon Cycle Modeling System." In Euro-Par 2005 Parallel Processing, 1285–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11549468_140.
Full textChristodoulopoulos, Konstantinos, Emmanouel Varvarigos, Chris Develder, Marc De Leenheer, and Bart Dhoedt. "Job Demand Models for Optical Grid Research." In Optical Network Design and Modeling, 127–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72731-6_15.
Full textZhang, Yue Hong, Li Hao, and Zhong Shan Yang. "Security Scheme in Wireless Grid." In Advanced Research on Computer Education, Simulation and Modeling, 453–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21783-8_74.
Full textChi, Heng-Yu, Wen-Huang Cheng, Ming-Syan Chen, and Arvin Wen Tsui. "MOSRO: Enabling Mobile Sensing for Real-Scene Objects with Grid Based Structured Output Learning." In MultiMedia Modeling, 207–18. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04114-8_18.
Full textConference papers on the topic "Grid modeling"
Sasaki, Hiroshi, Takatsugu Oya, Masaaki Kondo, and Hiroshi Nakamura. "Power-performance modeling of heterogeneous cluster-based web servers." In 2009 10th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2009. http://dx.doi.org/10.1109/grid.2009.5353057.
Full textWei Liu, Jose Cunha, Vitor Duarte, and Tiejian Luo. "A grid workload modeling approach for intelligent grid." In 2009 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2009. http://dx.doi.org/10.1109/icnsc.2009.4919384.
Full textYigitbasi, Nezih, Matthieu Gallet, Derrick Kondo, Alexandru Iosup, and Dick Epema. "Analysis and modeling of time-correlated failures in large-scale distributed systems." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5697961.
Full textBertran, Ramon, Yolanda Becerra, David Carrera, Vicenc Beltran, Marc Gonzalez, Xavier Martorell, Jordi Torres, and Eduard Ayguade. "Accurate energy accounting for shared virtualized environments using PMC-based power modeling techniques." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5697889.
Full textJin, Jiangming, Stephen John Turner, Bu-Sung Lee, Shyh-hao Kuo, Rick Siow Mong Goh, and Terence Hung. "Performance modeling for runtime kernel adaptation: A case study on infectious disease simulation." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID 2010). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5698009.
Full textIsaji, Tatsusaburo, Eoin Howlett, Colleen Dalton, and Eric Anderson. "Stepwise-Continuous-Variable-Rectangular Grid." In Seventh International Conference on Estuarine and Coastal Modeling. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40628(268)33.
Full textAfshar, Hady, Zahra Moravej, and Mohsen Niasati. "Modeling and optimization of microgrid considering emissions." In 2013 Smart Grid Conference (SGC). IEEE, 2013. http://dx.doi.org/10.1109/sgc.2013.6733812.
Full textCaillabet, Y., E. Flauraud, and F. J. S. Schneider. "Local Grid Refinement Methods for Basin Modeling – Migration Modeling." In ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 2004. http://dx.doi.org/10.3997/2214-4609-pdb.9.p011.
Full textCloteaux, Brian. "Limits in modeling power grid topology." In 2013 IEEE 2nd Network Science Workshop (NSW). IEEE, 2013. http://dx.doi.org/10.1109/nsw.2013.6609189.
Full textHsiung, Pao-Ann. "Smart grid design modeling and prototyping." In 2014 3rd International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). IEEE, 2014. http://dx.doi.org/10.1109/icrito.2014.7014657.
Full textReports on the topic "Grid modeling"
Dawson, Lon Andrew, Stephen Joseph Verzi, Drew Levin, Darryl J. Melander, Asael Hal Sorensen, Katherine Regina Cauthen, Felipe Wilches Bernal, Timothy M. Berg, Olga Lavrova, and Ross Guttromson. Integrated Cyber/Physical Grid Resiliency Modeling. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1482777.
Full textJorgenson, Jennie L., and Paul L. Denholm. Modeling Primary Frequency Response for Grid Studies. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1489895.
Full textSholander, Peter E. Application Note: Power Grid Modeling With Xyce. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1191079.
Full textBender, Sadie R., Matthew R. Oster, Trevor D. Hardy, Jesse T. Holzer, and James D. Follum. Future Grid State Modeling for Transactive Systems. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1602140.
Full textBrinkman, Gregory, Paul Denholm, Easan Drury, Erik Ela, Trieu Mai, Robert Margolis, and Matthew Mowers. Grid Modeling for the SunShot Vision Study. Office of Scientific and Technical Information (OSTI), February 2012. http://dx.doi.org/10.2172/1036369.
Full textHanif, Sarmad, Vishvas Chalishazar, and Donald Hammerstrom. Modeling the Functional Forms of Grid Disturbances. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1765364.
Full textCochran, Jaquelin, and David Palchak. Greening the Grid: Advances in Production Cost Modeling for India Renewable Energy Grid Integration Study. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1371644.
Full textBent, Russell Whitford. Grid Modernization Initiative Peer Review Extreme Event Modeling 1.4.17. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1471305.
Full textBaptista, Antonio M., and Cheryl A. Blain. Adaptive Unstructured Grid Generation for Modeling of Coastal Margins. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada613940.
Full textKao, C. Y. J., D. L. Langley, J. M. Reisner, and W. S. Smith. Development of the first nonhydrostatic nested-grid grid-point global atmospheric modeling system on parallel machines. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674906.
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