Literatura académica sobre el tema "Gas network modelling"
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Artículos de revistas sobre el tema "Gas network modelling"
Ekhtiari, Ali, Damian Flynn y Eoin Syron. "Green Hydrogen Blends with Natural Gas and Its Impact on the Gas Network". Hydrogen 3, n.º 4 (27 de octubre de 2022): 402–17. http://dx.doi.org/10.3390/hydrogen3040025.
Texto completoLin, Jiwei y Tso-Chien Pan. "Modelling of multi-sectoral critical infrastructure interdependencies for vulnerability analysis". Disaster Prevention and Resilience 1, n.º 1 (2022): 2. http://dx.doi.org/10.20517/dpr.2021.05.
Texto completoAnderson, Taylor y Suzana Dragićević. "Representing Complex Evolving Spatial Networks: Geographic Network Automata". ISPRS International Journal of Geo-Information 9, n.º 4 (20 de abril de 2020): 270. http://dx.doi.org/10.3390/ijgi9040270.
Texto completoSong, Wenhui, Jun Yao, Kai Zhang, Yongfei Yang y Hai Sun. "Understanding gas transport mechanisms in shale gas reservoir: Pore network modelling approach". Advances in Geo-Energy Research 6, n.º 4 (25 de julio de 2022): 359–60. http://dx.doi.org/10.46690/ager.2022.04.11.
Texto completoHagey, L. y H. de Lasa. "C1–C4 Hydrocarbons from synthesis gas Reaction network modelling". Chemical Engineering Science 54, n.º 15-16 (julio de 1999): 3391–97. http://dx.doi.org/10.1016/s0009-2509(98)00476-x.
Texto completoParkinson, J. S. y R. J. Wynne. "Systems Modelling and Control Applied to a Low-Pressure Gas Distribution Network". Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 206, n.º 1 (febrero de 1992): 35–44. http://dx.doi.org/10.1243/pime_proc_1992_206_196_02.
Texto completoSprengel, Jurgen, Pedro Milano, Ryan Sfand y Doug Kolak. "Modelling of High Point Vents in water gathering systems – a new approach using Simcenter Flomaster". APPEA Journal 62, n.º 1 (13 de mayo de 2022): 106–15. http://dx.doi.org/10.1071/aj21135.
Texto completoZiehn, T., R. M. Law, P. J. Rayner y G. Roff. "Designing optimal greenhouse gas monitoring networks for Australia". Geoscientific Instrumentation, Methods and Data Systems 5, n.º 1 (19 de enero de 2016): 1–15. http://dx.doi.org/10.5194/gi-5-1-2016.
Texto completoZiehn, T., R. M. Law, P. J. Rayner y G. Roff. "Designing optimal greenhouse gas monitoring networks for Australia". Geoscientific Instrumentation, Methods and Data Systems Discussions 5, n.º 2 (5 de agosto de 2015): 247–83. http://dx.doi.org/10.5194/gid-5-247-2015.
Texto completoJin, Tianying, Luis F. Ayala H. y M. Thaddeus Ityokumbul. "Network modelling and prediction of retrograde gas behaviour in natural gas pipeline systems". International Journal of Engineering Systems Modelling and Simulation 8, n.º 3 (2016): 169. http://dx.doi.org/10.1504/ijesms.2016.077646.
Texto completoTesis sobre el tema "Gas network modelling"
CAVANA, MARCO. "Gas network modelling for a multi-gas system". Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2850606.
Texto completoSwan, Dominic. "Stochastic load modelling in gas network analysis and design". Thesis, University of Exeter, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303776.
Texto completoKhalaf, Gholam Hossein. "Neuro-fuzzy control modelling for gas metal arc welding process". Thesis, Loughborough University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263585.
Texto completoQadrdan, Meysam. "Modelling of an integrated gas and electricity network with significant wind capacity". Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/24178/.
Texto completoAsgari, Hamid. "Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks". Thesis, University of Canterbury. Mechanical Engineering, 2014. http://hdl.handle.net/10092/9355.
Texto completoStraubhaar, Benjamin. "Pore network modelling of condensation in gas diffusion layers of proton exchange membrane fuel cell". Phd thesis, Toulouse, INPT, 2015. http://oatao.univ-toulouse.fr/19261/1/Straubhaar_B.pdf.
Texto completoHåkansson, David. "Aerothermal and Kinetic Modelling of a Gas Turbine Dry Low Emission Combustion System". Thesis, KTH, Strömningsmekanik och Teknisk Akustik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298477.
Texto completoEn växande medvetenhet kring klimatfrågan, har medfört stora förändringar i energibranschen. I och med detta behöver även gasturbinindustrin förbättra de nuvarande dry-low emissions systemen och göra det möjligt för gasturbiner att förbränna gröna bränslen som väte. Samtidigt måste också utsläppen av NOx hållas nere. För att kunna utforma dessa system behövs en fullständig förståelse för de aerotermiska och kinetiska processerna i en gasturbins förbränningskammare. Målet med detta examensarbete var att utveckla en endimensionell generell nätverksmodell för förbränningssystemet i Siemens Energys SGT-700. Modellen skulle noggrant kunna förutsäga tryckförluster, massflöden, viktiga temperaturer samt utsläpp. Tre modeller utvärderades och en kod som emulerade vissa aspekter av styrsystemet utvecklades också. Modellerna och koden utvärderades och jämfördes mot varandra och även mot testdata från tidigare testserier som utfördes på SGT-700 och SGT-600. Simuleringar utfördes också med väte som bränsle. Slutligen levererades en modell av SGT-700 förbränningskammaren till Siemens Energy. Modellen har verifierats för en rad olika lastfall, mot testdata och data som genererats av andra termodynamisk beräkningsprogram som utvecklats av Siemens Energy. Hur modellen uppförde sig när väte var introducerat in i olika lastfall jämfördes också mot testdata
MORETTI, Linda. "Analysis and modelling of innovative technologies on natural gas transportation and distribution networks". Doctoral thesis, Università degli studi di Cassino, 2022. https://hdl.handle.net/11580/90999.
Texto completoBagudu, Usman. "Pore network modelling of gas flow processes in porous media with special application to CO2 sequestration". Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/2991.
Texto completoCarrère, Pierre. "Modelling and numerical simulation of water transfer in Proton Exchange Membrane Fuel Cells". Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0123.
Texto completoWater management is considered as a key issue in order to improve Proton Exchange Membrane Fuel Cells efficiency and durability. One of the critical components regarding this issue is the athode Gas Diffusion Layer (GDL). In this context, the main goal of the PhD work is to improve the understanding of the mechanisms responsible for the liquid water formation and transport in the cathode GDL. To this end, a Mixed liquid-vapour Injection Pore Network Model (MIPNM) is developed. This new model enables one to simulate the liquid water formation and transport in the cathode GDL for a larger range of operating conditions (temperature, current density and channel relative humidity) than in previous works. Different regimes of water formation and transport are identified and described. In a second part, the PhD work focus on the impact of the GDL hydrophobic treatment. Currently commercialized GDLs are rendered hydrophobic by coating Polytetrafluoroethylene (PTFE) onto the hydrophilic carbon fibres. It has been reported that the coating can be nonuniform on fresh GDLs and also that the coating can be altered during the operation of the fuel cell. The impact of these two phenomena on the liquid water distribution and on the reactant gas access to the catalyst layer is studied using the MIPNM for mixed wettability networks. In a third part, a work aiming at the improvement of PEMFC efficiency is developed. The goal is to optimise the reactant gas access to the catalyst layer by modifying the microstructure of GDLs. This is performed by coupling the PNM with a genetic algorithm. In a complementary study, the improvement of the reactant gas access is studied through modifications of the GDL wettability properties. Finally, a 1D model of the whole anode-cathode assembly is developed so as to take into account both anode and cathode operating conditions. This 1D model is coupled with the MIPNM in order to assess the impact of the anode operating conditions on the liquid water distribution in the cathode GDL
Libros sobre el tema "Gas network modelling"
Modelling distributed energy resources in energy service networks. London: Institution of Engineering and Technology, 2013.
Buscar texto completoG, Kroeger Peter, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications. y Brookhaven National Laboratory, eds. THATCH, a computer code for modelling thermal networks of high-temperature gas-cooled nuclear reactors. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1991.
Buscar texto completoG, Kroeger Peter, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications. y Brookhaven National Laboratory, eds. THATCH, a computer code for modelling thermal networks of high-temperature gas-cooled nuclear reactors. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1991.
Buscar texto completoKhare, Mukesh y S. M. Shiva Nagendra. Artificial Neural Networks in Vehicular Pollution Modelling. Springer Berlin / Heidelberg, 2010.
Buscar texto completoKhare, Mukesh y S. M. Shiva Nagendra. Artificial Neural Networks in Vehicular Pollution Modelling. Springer London, Limited, 2006.
Buscar texto completoKhare, Mukesh y S. M. Shiva Nagendra. Artificial Neural Networks in Vehicular Pollution Modelling (Studies in Computational Intelligence). Springer, 2006.
Buscar texto completoDelgado Martín, Jordi, Andrea Muñoz-Ibáñez y Ismael Himar Falcón-Suárez. 6th International Workshop on Rock Physics: A Coruña, Spain 13 -17 June 2022: Book of Abstracts. 2022a ed. Servizo de Publicacións da UDC, 2022. http://dx.doi.org/10.17979/spudc.000005.
Texto completoCapítulos de libros sobre el tema "Gas network modelling"
Hante, Falk M. "Mixed-Integer Optimal Control for PDEs: Relaxation via Differential Inclusions and Applications to Gas Network Optimization". En Mathematical Modelling, Optimization, Analytic and Numerical Solutions, 157–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0928-5_7.
Texto completoSacco, T., G. Sansavini, M. Compare y E. Zio. "Robust portfolio modelling methodological approach to GB gas grid risk analysis via a simplified network version". En Risk, Reliability and Safety: Innovating Theory and Practice, 1736–43. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-262.
Texto completoBiesinger, Andreas, Ruben Pesch, Mariela Cotrado y Dirk Pietruschka. "Increased Efficiency Through Intelligent Networking of Producers and Consumers in Commercial Areas Using the Example of Robert Bosch GmbH". En iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 105–43. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_9.
Texto completoYang, Dong, Yingli Liu y Tao Du. "Network Flow Modelling for Optimizing Fire Smoke Control in Complex Urban Traffic Link Tunnels: Incorporating Heat Loss and Gas Species Generation Rate Calculation into Models". En The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology, 993–1007. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9139-3_72.
Texto completoKumpulainen, Pekka, Timo Korpela, Yrjö Majanne y Anna Häyrinen. "Modelling of NOx Emissions in Natural Gas Fired Hot Water Boilers". En Engineering Applications of Neural Networks, 100–108. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23983-5_10.
Texto completoGugat, Martin y Michael Herty. "A New Model for Transient Flow in Gas Transportation Networks". En Mathematical Modelling, Optimization, Analytic and Numerical Solutions, 147–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0928-5_6.
Texto completoBales, Pia, Oliver Kolb y Jens Lang. "Hierarchical Modelling and Model Adaptivity for Gas Flow on Networks". En Lecture Notes in Computer Science, 337–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01970-8_33.
Texto completoPhukon, Neha, Mrigakshee Sarmah y Bimlesh Kumar. "Process Modelling of Gas–Liquid Stirred Tank with Neural Networks". En Environmental Pollution, 501–11. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5792-2_40.
Texto completovan Helden, Jacques, Ariane Toussaint y Denis Thieffry. "Bacterial Molecular Networks: Bridging the Gap Between Functional Genomics and Dynamical Modelling". En Bacterial Molecular Networks, 1–11. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-61779-361-5_1.
Texto completoOtto-Sobotka, Fabian, Radoslava Mirkov, Benjamin Hofner y Thomas Kneib. "Modelling Flow in Gas Transmission Networks Using Shape-Constrained Expectile Regression". En Advances in Contemporary Statistics and Econometrics, 261–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73249-3_14.
Texto completoActas de conferencias sobre el tema "Gas network modelling"
Tayarani-Bathaie, Sina S., Zakieh Sadough y Khashayar Khorasani. "Dynamic Neural Network-based Fault Diagnosis of Gas Turbine Engines". En Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.769-064.
Texto completovan Westering, Werner, Hans Hellendoorn, Berend Brasjen y Ruud van der Linden. "Natural gas distribution network modelling and leak minimization". En 2014 IEEE 11th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2014. http://dx.doi.org/10.1109/icnsc.2014.6819641.
Texto completoGao, B., J. Darling, D. G. Tilley, R. A. Williams, A. Bean y J. Donahue. "Modelling of a Novel Gas Strut Using Neural Networks". En ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59119.
Texto completoKudapa, Vamsi Krishna, Shashank Kumar, Dharmendra Kumar Gupta, Pushpa Sharma y Rubna KunhAbdulla. "Modelling of Gas Production from Shale Matrix to Fracture Network". En SPE Intelligent Oil and Gas Symposium. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/187473-ms.
Texto completoBhardwaj, Charu, Preeti Godiyal, Mohit Mathur, Amit Ranjan y Saurabh K. Verma. "Production Optimization of Raageshwari Field Using Network Modelling". En SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/186921-ms.
Texto completoLamamra, Kheireddine y Djamil Rechem. "Artificial neural network modelling of a gas sensor for liquefied petroleum gas detection". En 2016 8th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2016. http://dx.doi.org/10.1109/icmic.2016.7804292.
Texto completoLu, Yifei, Thiemo Pesch y Andrea Benigni. "GasNetSim: An Open-Source Package for Gas Network Simulation with Complex Gas Mixture Compositions". En 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES). IEEE, 2022. http://dx.doi.org/10.1109/osmses54027.2022.9769148.
Texto completoPluta, Adam, Wided Medjroubi, Jan C. Diettrich, Jan Dasenbrock, Hendrik-Pieter Tetens, Javier E. Sandoval y Ontje Lunsdorf. "SciGRID_gas - Data Model of the European Gas Transport Network". En 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES). IEEE, 2022. http://dx.doi.org/10.1109/osmses54027.2022.9769122.
Texto completoSorensen, Frank y L. C. Little. "A 3-Dimensional Approach to the Modelling of the Hoadley-Westerose Gas Reservoir/Surface Pipeline Network". En SPE Gas Technology Symposium. Society of Petroleum Engineers, 1993. http://dx.doi.org/10.2118/26143-ms.
Texto completoGarrouch, A. y N. H. Smaoui. "An Artificial Neural Network Model for Estimating Tight Gas Sand Permeability". En SPE Asia Pacific Conference on Integrated Modelling for Asset Management. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/39703-ms.
Texto completoInformes sobre el tema "Gas network modelling"
Kroeger, P. G., R. J. Kennett, J. Colman y T. Ginsberg. THATCH: A computer code for modelling thermal networks of high- temperature gas-cooled nuclear reactors. Office of Scientific and Technical Information (OSTI), octubre de 1991. http://dx.doi.org/10.2172/6239042.
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