Academic literature on the topic 'Energy path'
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Journal articles on the topic "Energy path"
Liu, Jianguo, Zhentao An, Qian Zhang, and Chaoyang Wang. "Thermal Decomposition of Hydroxylamine Nitrate Studied by Differential Scanning Calorimetry Analysis and Density Functional Theory Calculations." Progress in Reaction Kinetics and Mechanism 42, no. 4 (December 2017): 334–43. http://dx.doi.org/10.3184/146867817x14954764850351.
Full textYan, Han, and Pei Wang. "Adsorption and Diffusion of Aluminum, Gallium and Indium Atoms on Semi-Polar Gallium Nitride Substrate Surface: A First Principle Simulation." Advanced Materials Research 1015 (August 2014): 598–601. http://dx.doi.org/10.4028/www.scientific.net/amr.1015.598.
Full textYamamoto, Hiromi, and Kenji Yamaji. "Sustainable energy path." Thermal Science 9, no. 3 (2005): 7–14. http://dx.doi.org/10.2298/tsci0503007y.
Full textIlić, Aleksandar, and Milan Bašić. "Path matrix and path energy of graphs." Applied Mathematics and Computation 355 (August 2019): 537–41. http://dx.doi.org/10.1016/j.amc.2019.03.002.
Full textYan, Xiaoqing, Xinting Huang, and Shengyu Wu. "Energy Revolution Path Based on Main Functional Region Planning." Journal of Clean Energy Technologies 5, no. 3 (May 2017): 263–67. http://dx.doi.org/10.18178/jocet.2017.5.3.380.
Full textCline, David, Justin Talbot, and Parris Egbert. "Energy redistribution path tracing." ACM Transactions on Graphics 24, no. 3 (July 2005): 1186–95. http://dx.doi.org/10.1145/1073204.1073330.
Full textYokozuka, Masashi, and Osamu Matsumoto. "A Reasonable Path Planning via Path Energy Minimization." Journal of Robotics and Mechatronics 26, no. 2 (April 20, 2014): 236–44. http://dx.doi.org/10.20965/jrm.2014.p0236.
Full textChu, Steven, Yi Cui, and Nian Liu. "The path towards sustainable energy." Nature Materials 16, no. 1 (December 20, 2016): 16–22. http://dx.doi.org/10.1038/nmat4834.
Full textSteffes, Dale. "The Energy Path not Taken." Strategic Planning for Energy and the Environment 24, no. 2 (October 2004): 55–61. http://dx.doi.org/10.1080/10485230409509661.
Full textMaddox, John. "Energy levels by path integration." Nature 358, no. 6389 (August 1992): 707. http://dx.doi.org/10.1038/358707a0.
Full textDissertations / Theses on the topic "Energy path"
Chen, Danjie. "Minimum energy path planning for ad hoc networks." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33706.
Full textIncludes bibliographical references (p. 85-86).
We introduce the problem of finding a path for a mobile node traveling from a source to a destination while communicating with at least one node from a set of stationary nodes in such a way that minimizes the transmission energy used in communication. We characterize this problem and introduce two algorithms. The first is a recursive algorithm useful for problems with one communication node. We show the limitations of this algorithm and how it can find suboptimal paths. The second algorithm, the discretized graph algorithm, can be applied to problems with more communication nodes. We find parameters that allow energy efficient paths to be found in suitable time. We demonstrate the applicability of the minimum energy path planning problem and how the discretized graph algorithm can be used in a more general context through an example.
by Danjie Chen.
M.Eng.
Ogunniyi, Samuel. "Energy efficient path planning: the effectiveness of Q-learning algorithm in saving energy." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13308.
Full textIn this thesis the author investigated the use of a Q-learning based path planning algorithm to investigate how effective it is in saving energy. It is important to pursue any means to save energy in this day and age, due to the excessive exploitation of natural resources and in order to prevent drops in production in industrial environments where less downtime is necessary or other applications where a mobile robot running out of energy can be costly or even disastrous, such as search and rescue operations or dangerous environment navigation. The study was undertaken by implementing a Q-learning based path planning algorithm in several unstructured and unknown environments. A cell decomposition method was used to generate the search space representation of the environments, within which the algorithm operated. The results show that the Q-learning path planner paths on average consumed 3.04% less energy than the A* path planning algorithm, in a square 20% obstacle density environment. The Q-learning path planner consumed on average 5.79% more energy than the least energy paths for the same environment. In the case of rectangular environments, the Q-learning path planning algorithm uses 1.68% less energy, than the A* path algorithm and 3.26 % more energy than the least energy paths. The implication of this study is to highlight the need for the use of learning algorithm in attempting to solve problems whose existing solutions are not learning based, in order to obtain better solutions.
Liu, Lu. "Pricing energy path-dependent option using tree based approach." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512006.
Full textDoshi, Manan(Manan Mukesh). "Energy-time optimal path planning in strong dynamic flows." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130905.
Full textCataloged from the official PDF version of thesis.
Includes bibliographical references (pages 55-61).
We develop an exact partial differential equation-based methodology that predicts time-energy optimal paths for autonomous vehicles navigating in dynamic environments. The differential equations solve the multi-objective optimization problem of navigating a vehicle autonomously in a dynamic flow field to any destination with the goal of minimizing travel time and energy use. Based on Hamilton-Jacobi theory for reachability and the level set method, the methodology computes the exact Pareto optimal solutions to the multi-objective path planning problem, numerically solving the equations governing time-energy reachability fronts and optimal paths. Our approach is applicable to path planning in various scenarios, however we primarily present examples of navigating in dynamic marine environments. First, we validate the methodology through a benchmark case of crossing a steady front (a highway flow) for which we compare our results to semi-analytical optimal path solutions. We then consider more complex unsteady environments and solve for time-energy optimal missions in a quasi-geostrophic double-gyre ocean flow field.
by Manan Doshi.
S.M.
S.M. Massachusetts Institute of Technology, Center for Computational Science & Engineering
Kaya, Ferhat, and Rezhin Kader. "Overcoming Lock-In and Path Dependency : Hydrogen Energy Transitions." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296557.
Full textUnder decennier av fossil användning har klimatpåverkan blivit mer allvarlig och hotar att negativt påverka globala ekonomier och den biologiska mångfalden. Vätgas har framkommit som en teknik som möjliggör produktion och lagring av förnybar energi utan koldioxidutsläpp. Övergångar till nya energilösningar är dock svåra eftersom sektorn kännetecknas av “lock-in” och “path dependency”på grund av samutveckling med infrastruktur, politik och geografi. Syftet med denna studie är att undersöka hur vätgas kan övervinna “lock-in” och “path dependency” av fossila bränslen. För att uppnå detta genomfördes en kvalitativ fallstudie av Sverige. Den teoretiska grunden för studien består av Multi-Level Perspective och lock-in. Resultaten visar att fyra kriterier måste uppfyllas för att vätgas ska gå från en nisch innovation till att vara en del av dagens sociotekniska system. Vätgas måste bli mer kostnadseffektiv, investeringar i infrastruktur för vätgas krävs, en marknad måste skapas för produktion av vätgas och regeringar/institutioner behöver stödja vätgas genom föreskrifter.
Voyevoda, Andriy. "The european energy union : an inevitable path or an everlasting chimera?" Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20712.
Full textA integração gradual na Europa tem sido um lento mas constante processo, um processo que permitiu à União Europeia (UE) prosseguir iniciativas comuns nas esferas política e económica. Estas iniciativas permitiram o estabelecimento de um mercado comum de bens e serviços, uma união monetária, instituições políticas comuns, posições comuns em termos de política externa, entre outros aspetos que reforçaram a natureza sui generis da União Europeia enquanto organização supranacional . Apesar de um relativo sucesso nestas várias dimensões, o projeto europeu carece, ainda, de uma estratégia comum para a energia, o que é uma enorme desvantagem tendo em conta que a UE é altamente dependente de importações de combustíveis fósseis para satisfazer o seu crescimento económico. Com grande potencial para uma política comum no futuro, a agenda energética europeia não evoluiu ainda para o mesmo nível de integração que as políticas económicas e monetária, por exemplo. Deste modo, a presente dissertação focar-se-á na formulação da União da Energia Europeia, procurando analisar as diversas iniciativas adotadas pela UE para a concretização de uma estratégia energética comum.
The gradual integration in Europe has been a slow but steady process, a process that allowed the European Union (EU) to pursue common policies within the economic and political spheres. Such policies led to the establishment of a single market for goods and services, a monetary union, common political institutions, common standpoints in terms of foreign policy, and other shared aspects that added to the sui generis nature of the European Union as a supranational organization. Despite this relative success within a variety of policy dimensions, the European project still lacks a common strategy for energy, which is a huge liability given the fact that the Union, as a whole, is highly dependent on fossil fuels imports to satisfy its energy-hungry economic growth. With great potential for a future common stance, the European energy agenda has not yet evolved to the same integration level as the economic and monetary policies have, for instance. As such, the present dissertation focuses on the formation of the European Energy Union, seeking to analyze the several strategies partaken by the EU in order to complete a common energy strategy.
info:eu-repo/semantics/publishedVersion
Pinar, Erdem Emre. "Energy Optimal Path Planning Of An Unmanned Solar Powered Aircraft." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615385/index.pdf.
Full textNajafi, Mike. "Practical path to net-zero homes." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41121.
Full textNarayanan, Subramani Deepak. "Energy optimal path planning using stochastic dynamically orthogonal level set equations." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95564.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 93-100).
The growing use of autonomous underwater vehicles and underwater gliders for a variety of applications gives rise to new requirements in the operation of these vehicles. One such important requirement is optimization of energy required for undertaking missions that will enable longer endurance and lower operational costs. Our goal in this thesis is to develop a computationally efficient, and rigorous methodology that can predict energy-optimal paths from among all time-optimal paths to complete an underwater mission. For this, we develop rigorous a new stochastic Dynamically Orthogonal Level Set optimization methodology. In our thesis, after a review of existing path planning methodologies with a focus on energy optimality, we present the background of time-optimal path planning using the level set method. We then lay out the questions that inspired the present thesis, provide the goal of the current work and explain an extension of the time-optimal path planning methodology to the time-optimal path planning in the case of variable nominal engine thrust. We then proceed to state the problem statement formally. Thereafter, we develop the new methodology for solving the optimization problem through stochastic optimization and derive new Dynamically Orthogonal Level Set Field equations. We then carefully present different approaches to handle the non-polynomial non-linearity in the stochastic Level Set Hamilton-Jacobi equations and also discuss the computational efficiency of the algorithm. We then illustrate the inner-workings and nuances of our new stochastic DO level set energy optimal path planning algorithm through two simple, yet important, canonical steady flows that simulate a stead front and a steady eddy. We formulate a double energy-time minimization to obtain a semi-analytical energy optimal path for the steady front crossing test case and compare the results to these of our stochastic DO level set scheme. We then apply our methodology to an idealized ocean simulation using Double Gyre flows, and finally show an application with real ocean data for completing a mission in the Middle Atlantic Bight and New Jersey Shelf/Hudson Canyon region.
by Deepak Narayanan Subramani.
S.M.
Oshaug, Christian A. J. "Lévy Processes and Path Integral Methods with Applications in the Energy Markets." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13730.
Full textBooks on the topic "Energy path"
The oil sands: Canada's path to clean energy? [Calgary]: Kingsley Pub., 2009.
Find full textJane, Nakano, and Center for Strategic and International Studies (Washington, D.C.). Energy and National Security Program, eds. China--leader or laggard on the path to a secure, low-carbon energy future? Washington, DC: Center for Strategic and International Studies, 2011.
Find full textAdam. The Path of the DreamHealer. New York: Penguin Group USA, Inc., 2008.
Find full textJenkins, Jerry. Climate change in the Adirondacks: The path to sustainability. Ithaca: Comstock Pub. Associates, 2010.
Find full textWildlife Conservation Society (New York, N.Y.), ed. Climate change in the Adirondacks: The path to sustainability. Ithaca: Comstock Pub. Associates, 2010.
Find full textAdam. The path of the dreamhealer: The quantum world of energy healing. Toronto: Penguin Canada, 2007.
Find full textThe path of the dreamhealer: The quantum world of energy healing. Toronto: Viking Canada, 2006.
Find full textProgramme, United Nations Development, ed. Energy in the Western Balkans: The path to reform and reconstruction. Paris: OECD, 2008.
Find full textPrefabulous + almost off the grid: Your prefabulous path to building an energy-independent home. New York: Abrams, 2012.
Find full textGaba, Kwawu Mensan. Energy intensive sectors of the Indian economy: Path to low carbon development. Washington: International Bank for Reconstruction and Development, World Bank, 2011.
Find full textBook chapters on the topic "Energy path"
Max, Michael D., Arthur H. Johnson, and William P. Dillon. "Path to NGH Commercialization." In SpringerBriefs in Energy, 47–53. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02508-7_6.
Full textHarr, Michael, Dieter Bonnet, and Karl-Heinz Fischer. "On the Path towards Power-Grid Parity." In Renewable Energy, 56–59. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527671342.ch8.
Full textPetit, Vincent. "The Path Towards a Sustainable Tomorrow." In The Energy Transition, 125–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50292-2_5.
Full textFechner, Uwe, and Roland Schmehl. "Flight Path Planning in a Turbulent Wind Environment." In Airborne Wind Energy, 361–90. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-1947-0_15.
Full textHehl, Friedrich W., Alfredo Macías, Eckehard W. Mielke, and Yuri N. Obukhov. "On the Structure of the Energy-Momentum and the Spin Currents in Dirac’s Electron Theory." In On Einstein’s Path, 257–74. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1422-9_18.
Full textHe, Jijiang, Yu Wang, and Wenying Chen. "Energy Transition Driven by the Energy Internet." In Research Series on the Chinese Dream and China’s Development Path, 77–89. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9660-1_8.
Full textFernandes, Manuel C. R. M., Luís Tiago Paiva, and Fernando A. C. C. Fontes. "Optimal Path and Path-Following Control in Airborne Wind Energy Systems." In Computational Methods in Applied Sciences, 409–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57422-2_26.
Full textDas, Kausik S. "Microbial Fuel Cells: A Path to Green, Renewable Energy." In Green Energy and Technology, 195–206. New Delhi: Springer India, 2020. http://dx.doi.org/10.1007/978-81-322-3965-9_9.
Full textZhu, Tong, and Lei Wang. "Direction and Path of China’s Energy Transformation." In The Great Transformation of China, 337–78. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9499-8_8.
Full textYanping, Xue. "The Global Energy Governance Structure and China-Europe Energy Relations." In Research Series on the Chinese Dream and China’s Development Path, 155–65. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1145-0_8.
Full textConference papers on the topic "Energy path"
Cline, David, Justin Talbot, and Parris Egbert. "Energy redistribution path tracing." In ACM SIGGRAPH 2005 Papers. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1186822.1073330.
Full textChong Wang, Vijay Vittal, Sharma Kolluri, and Sujit Mandal. "PTDF-based automatic restoration path selection." In Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5589478.
Full textKim, Soon-Ho, and Chi-Su Kim. "Path Finding in the sLa-Camera-pLb Path." In Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.135.25.
Full textAznavi, Sima, Poria Fajri, Arash Asrari, and Reza Sabzehgar. "Energy Management of Multi-Energy Storage Systems Using Energy Path Decomposition." In 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. http://dx.doi.org/10.1109/ecce.2019.8912826.
Full textVyas, Pratik, Mithilesh Tipkari, and Shivika Pathania. "Energy efficient path selection in MANET." In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342525.
Full textKnauf, Jakob, and Thomas Gollinger. "Path Dependencies in the Energy System." In 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2018. http://dx.doi.org/10.1109/ice.2018.8436322.
Full textMishra, Deepak, K. Kaushik, Swades De, Stefano Basagni, Kaushik Chowdhury, Soumya Jana, and Wendi Heinzelman. "Implementation of multi-path energy routing." In 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2014. http://dx.doi.org/10.1109/pimrc.2014.7136468.
Full textLi, Yan, Shashi Shekhar, Pengyue Wang, and William Northrop. "Physics-guided energy-efficient path selection." In SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3274895.3274933.
Full textLee, Lae Yeop, and Seong Gon Choi. "Energy Loss Minimization Modelling for Given Energy Path in Vehicular Energy Network." In 2021 23rd International Conference on Advanced Communication Technology (ICACT). IEEE, 2021. http://dx.doi.org/10.23919/icact51234.2021.9370454.
Full textQuintas, D., and V. Friderikos. "Energy Efficient Relaying within a Cell: Multi Path versus Shortest Path Routing." In IEEE INFOCOM 2010 - IEEE Conference on Computer Communications Workshops. IEEE, 2010. http://dx.doi.org/10.1109/infcomw.2010.5466653.
Full textReports on the topic "Energy path"
Furth, H. P. Path toward fusion energy. Office of Scientific and Technical Information (OSTI), August 1985. http://dx.doi.org/10.2172/5216447.
Full textHooper, E. B. ,. Barnes, C. W. ,. Bellan, P. M. ,. The Spheromak path to fusion energy. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/304511.
Full textMeng, Kyle. Estimating Path Dependence in Energy Transitions. Cambridge, MA: National Bureau of Economic Research, August 2016. http://dx.doi.org/10.3386/w22536.
Full textKelley, Michael J., Grigory Eremeev, and Charles E. Reece. Materials path toward improved energy efficiency for High Energy Physics accelerators. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1467442.
Full textAuthor, Not Given. Energy Resource Center: Chart a Path to Continuous Energy Improvement (Postcard). Office of Scientific and Technical Information (OSTI), May 2012. http://dx.doi.org/10.2172/1044440.
Full textRobert J. Goldston. A Pilot Plant: The Fastest Path to Commercial Fusion Energy. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/973205.
Full textTaylor, Margaret, and K. Sydny Fujita. The Path to Savings: Understanding the Federal Purchase of Energy-Consuming Products. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1172961.
Full textHooper, E. B. The Path to Fusion Energy for Concepts Currently at the Concept Exploration Level. Office of Scientific and Technical Information (OSTI), January 2003. http://dx.doi.org/10.2172/15002742.
Full textParrish, Kristen. A Path to Successful Energy Retrofits: Early Collaboration through Integrated Project Delivery Teams. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1169479.
Full textApruzese, J. P., J. D. Sethian, J. L. Giuliani, and M. F. Wolford. Ar-Xe Laser: The Path to a Robust, All-Electric Shipboard Directed Energy Weapon. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada491950.
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