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Journal articles on the topic 'Energy path'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

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.

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The thermal stability and kinetics of hydroxylamine nitrate (HAN) decomposition were studied by differential scanning calorimetry (DSC) and the thermal decomposition reaction mechanism was determined by density functional theory (DFT). With the help of parameter values from the non-isothermal DSC curves of HAN, the thermal decomposition activation energy and pre-exponential constant were obtained by the Kissinger and Ozawa methods. Then, the most probable mechanism function was calculated by the Šatava–Šesták method. Seven different paths for the thermal decomposition mechanism of HAN were formulated and DFT at the B3LYP/6-311++G(d,p) level was used to carry out the dynamics analysis. The calculated results show that the values of the activation energy calculated by the Kissinger and Ozawa methods are 67.892 and 70.412 kJ mol−1 respectively. The most probable mechanism function calculated by the Šatava–Šesták method is [Formula: see text]. The path being favoured energetically in the dynamics is in the order: Path6 > Path5 > Path4 > Path1 > Path2 > Path7 > Path3.

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2

Yan, 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.

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The first principles simulations are performed to investigate the adsorption and diffusion of aluminum, gallium and indium atoms on semi-polar gallium nitrides surface, the calculations are performed by using the Car–Parrinello molecular dynamics (CPMD) method. The aluminum ad-atoms adsorption in path 1 and path 3 are much stable than in path 2. The maximum adsorption energy of path1, path2 and path3 are different, which reveal that a different barrier energy pathway between indium ad-atom diffuse along path 1, path2 and path3. Our calculation results reveal that diffusion barriers of aluminum, gallium and indium atoms on semi-polar gallium nitride surface are anisotropy.

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3

Yamamoto, Hiromi, and Kenji Yamaji. "Sustainable energy path." Thermal Science 9, no. 3 (2005): 7–14. http://dx.doi.org/10.2298/tsci0503007y.

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The uses of fossil fuels cause not only the resources exhaustion but also the environmental problems such as global warming. The purposes of this study are to evaluate paths to ward sustainable energy systems and roles of each renewable. In order to realize the purposes, the authors developed the global land use and energy model that figured the global energy supply systems in the future considering the cost minimization. Using the model the authors conducted a simulation in C30R scenario, which is a kind of strict CO2 emission limit scenarios and reduced CO2 emissions by 30% compared with Kyoto protocol forever scenario, and obtained the following results. In C30R scenario bio energy will supply 33% of all the primary energy consumption. How ever, wind and photo voltaic will supply 1.8% and 1.4% of all the primary energy consumption, respectively, because of the limits of power grid stability. The results imply that the strict limits of CO2 emissions are not sufficient to achieve the complete renewable energy systems. In order to use wind and photo voltaic as major energy resources we need not only to reduce the plant costs but also to develop unconventional renewable technologies. .

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4

Ilić, 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.

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5

Yan, 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.

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6

Cline, 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.

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7

Yokozuka, 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.

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This paper presents a path planning method by path energy minimizing that enables mobile robots to move smoothly in the real world with optimizing path shape for shortest distance or minimum curvature. It also enables robots to travel safely toward a destination because pedestrian motion prediction is embedded in path planning. This path planning method is based on problems experienced in a robot competition called Tsukuba Challenge. The problems involved nonsmooth motion arising from finite path patterns in A* algorithm, stuck motion arising from frequently path switching, and near misses arising from nonpredictive planning. Our path planning method minimizes pathshape energy defined as the connection between path points. Minimizing energy provides smooth paths and avoids path switching. We propose a path planning method with prediction of dynamic obstacle motion embedded to avoid near misses. Experimental results showed improvements in solving these problems.

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8

Chu, 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.

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9

Steffes, 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.

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10

Maddox, John. "Energy levels by path integration." Nature 358, no. 6389 (August 1992): 707. http://dx.doi.org/10.1038/358707a0.

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11

Simmie, James. "Path Dependence and New Path Creation in Renewable Energy Technologies." European Planning Studies 20, no. 5 (May 2012): 729–31. http://dx.doi.org/10.1080/09654313.2012.667922.

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12

Pollak, Eli. "Transition path time distribution and the transition path free energy barrier." Physical Chemistry Chemical Physics 18, no. 41 (2016): 28872–82. http://dx.doi.org/10.1039/c6cp05052b.

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13

R, Saravanakumar, Lavanya K, Pavithra B, Punithavalli B, and Revathi P. "A Wide Input Range Dual Path CMOS Rectifier for RF Energy Harvesting." SIJ Transactions on Computer Networks & Communication Engineering 05, no. 01 (February 20, 2017): 05–08. http://dx.doi.org/10.9756/sijcnce/v5i1/05010090101.

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14

Kokilamani, M., and E. Karthikeyan. "An optimal path selection criterion in multi path routing using energy." CSI Transactions on ICT 5, no. 3 (February 18, 2017): 235–46. http://dx.doi.org/10.1007/s40012-017-0158-8.

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15

Chen, Changjun, Yanzhao Huang, Xiaofeng Ji, and Yi Xiao. "Efficiently finding the minimum free energy path from steepest descent path." Journal of Chemical Physics 138, no. 16 (April 28, 2013): 164122. http://dx.doi.org/10.1063/1.4799236.

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16

S. Rinesh, K. Devi,. "Energy Efficient Path Determination in WANET." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 02 (February 28, 2015): 740–44. http://dx.doi.org/10.15680/ijircce.2015.0302020.

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17

Colander, Brandi, and Leila Monroe. "Offshore Renewable Energy: The Path Forward." Electricity Journal 24, no. 7 (August 2011): 23–34. http://dx.doi.org/10.1016/j.tej.2011.07.003.

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18

Kawabe, H., K. Nishikawa, and S. Aono. "Path integral approach to correlation energy." International Journal of Quantum Chemistry 51, no. 5 (August 15, 1994): 265–83. http://dx.doi.org/10.1002/qua.560510503.

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19

Tabak, M. "On the path to fusion energy." European Physical Journal D 44, no. 2 (September 1, 2006): 265–72. http://dx.doi.org/10.1140/epjd/e2006-00199-6.

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20

Tabak, M. "On the path to fusion energy." Journal de Physique IV (Proceedings) 133 (June 2006): 103–4. http://dx.doi.org/10.1051/jp4:2006133020.

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21

Bunyard, Peter. "Pursuing the energy efficiency—conservation path." Energy Policy 16, no. 5 (October 1988): 458–60. http://dx.doi.org/10.1016/0301-4215(88)90046-8.

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22

Calvete, Herminia I., Lourdes del-Pozo, and José A. Iranzo. "The energy-constrained quickest path problem." Optimization Letters 11, no. 7 (September 8, 2016): 1319–39. http://dx.doi.org/10.1007/s11590-016-1073-x.

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23

Nicklas, Michael. "Energy politics: Can we achieve a sustainable energy path?" Solar Energy 50, no. 4 (April 1993): 287–96. http://dx.doi.org/10.1016/0038-092x(93)90024-i.

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24

Dittrich, R., T. Schrefl, D. Suess, W. Scholz, H. Forster, and J. Fidler. "A path method for finding energy barriers and minimum energy paths in complex micromagnetic systems." Journal of Magnetism and Magnetic Materials 250 (September 2002): 12–19. http://dx.doi.org/10.1016/s0304-8853(02)00388-8.

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25

Andrada, Diego M., and Cina Foroutan-Nejad. "Energy components in energy decomposition analysis (EDA) are path functions; why does it matter?" Physical Chemistry Chemical Physics 22, no. 39 (2020): 22459–64. http://dx.doi.org/10.1039/d0cp04016a.

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26

Yim, Ho-Bin, Kang Kwon, and Jay-Jung Kim. "Optimization Routing Path Design of Hydraulic Hose Using Energy Minimization." Transactions of the Society of CAD/CAM Engineers 17, no. 4 (August 1, 2012): 246–52. http://dx.doi.org/10.7315/cadcam.2012.246.

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27

Pollak, Eli. "Correction: Transition path time distribution and the transition path free energy barrier." Physical Chemistry Chemical Physics 20, no. 38 (2018): 25105. http://dx.doi.org/10.1039/c8cp91864c.

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28

Pankaj, Ram Dayal, Arun Kumar, and Rashika Agarwal. "Energy efficient path determination in wireless sensor network by critical path method." Malaya Journal of Matematik 8, no. 3 (2020): 797–802. http://dx.doi.org/10.26637/mjm0803/0011.

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29

Gulkis, A. "The Energy Pyramid: The best path to lasting energy savings." Journal of Soil and Water Conservation 64, no. 5 (September 1, 2009): 143A—144A. http://dx.doi.org/10.2489/jswc.64.5.143a.

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30

Siddi, Marco. "The EU’s Energy Union: A Sustainable Path to Energy Security?" International Spectator 51, no. 1 (January 2, 2016): 131–44. http://dx.doi.org/10.1080/03932729.2016.1090827.

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31

Fleurat-Lessard, Paul, and Tom Ziegler. "Tracing the minimum-energy path on the free-energy surface." Journal of Chemical Physics 123, no. 8 (August 22, 2005): 084101. http://dx.doi.org/10.1063/1.1948367.

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32

Taratorin, Andrey, and Vladimir Tupov. "ENERGY-EFFICIENT SILENCERS OF GAS-AIR PATH." Akustika 32 (March 1, 2019): 163–67. http://dx.doi.org/10.36336/akustika201932163.

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The article is devoted to the issues of designing modern energy-efficient silencers of gas-air paths. Various types of silencers used to reduce the noise of smoke exhausters and blow fans are considered. Possible solutions for reducing the resistance of silencers are given. Aerodynamic modelling of the plate silencer was performed in order to determine the optimal shape of the front and end fairings. It is shown that the application of the set of measures allows minimizing the aerodynamic drag of the silencer, and in some cases-to improve the aerodynamic characteristics of gas-air ducts.

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33

Vaillant, Christophe L., Stuart C. Althorpe, and David J. Wales. "Path Integral Energy Landscapes for Water Clusters." Journal of Chemical Theory and Computation 15, no. 1 (December 14, 2018): 33–42. http://dx.doi.org/10.1021/acs.jctc.8b00675.

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34

EMBER, LOIS. "Sierra Club advocates soft-path energy policy." Chemical & Engineering News 66, no. 34 (August 22, 1988): 23–24. http://dx.doi.org/10.1021/cen-v066n034.p023.

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35

Jacobson, Mark Z., and Mark A. Delucchi. "A Path to Sustainable Energy by 2030." Scientific American 301, no. 5 (November 2009): 58–65. http://dx.doi.org/10.1038/scientificamerican1109-58.

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36

Xu, Bo, and Yumin Zhang. "Development path of regional integrated energy system." IOP Conference Series: Earth and Environmental Science 371 (December 13, 2019): 042034. http://dx.doi.org/10.1088/1755-1315/371/4/042034.

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37

Fan, Yang-Hsin. "Energy-aware path strategy for embedded network." International Journal of Distributed Sensor Networks 13, no. 10 (October 2017): 155014771773617. http://dx.doi.org/10.1177/1550147717736175.

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38

Edwards, Chris, and François Amiranoff. "HiPER: The European path to laser energy." EPJ Web of Conferences 59 (2013): 01006. http://dx.doi.org/10.1051/epjconf/20135901006.

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39

Lecca, Michela, Alessandro Rizzi, and Gabriele Gianini. "Energy-driven path search for Termite Retinex." Journal of the Optical Society of America A 33, no. 1 (December 9, 2015): 31. http://dx.doi.org/10.1364/josaa.33.000031.

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40

Mousas, Christos, Paul Newbury, and Christos-Nikolaos Anagnostopoulos. "The Minimum Energy Expenditure Shortest Path Method." Journal of Graphics Tools 17, no. 1-2 (January 2, 2013): 31–44. http://dx.doi.org/10.1080/2165347x.2013.872586.

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41

Nguyen-Truong, Hieu T. "Low-Energy Electron Inelastic Mean Free Path." Journal of Surface Analysis 26, no. 2 (2019): 108–9. http://dx.doi.org/10.1384/jsa.26.108.

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42

Ooi, Chia Ching, and Christian Schindelhauer. "Minimal Energy Path Planning for Wireless Robots." Mobile Networks and Applications 14, no. 3 (January 24, 2009): 309–21. http://dx.doi.org/10.1007/s11036-008-0150-5.

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43

Bitar, Glenn, Morten Breivik, and Anastasios M. Lekkas. "Energy-Optimized Path Planning for Autonomous Ferries." IFAC-PapersOnLine 51, no. 29 (2018): 389–94. http://dx.doi.org/10.1016/j.ifacol.2018.09.456.

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44

Chandra, Yogender Pal, Arashdeep Singh, Vikas Kannojiya, and J. P. Kesari. "Solar Energy a Path to India’s Prosperity." Journal of The Institution of Engineers (India): Series C 100, no. 3 (May 10, 2018): 539–46. http://dx.doi.org/10.1007/s40032-018-0454-6.

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45

Tokiwa, Hiroaki, Yoshihiro Osamura, and Hiroshi Ichikawa. "Energy-component analysis along zero virial path." Chemical Physics 181, no. 1-2 (March 1994): 97–105. http://dx.doi.org/10.1016/0301-0104(94)85018-6.

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46

Niu, Cong, and Xiutian Yan. "Energy optimization path planning for battery-powered agricultural rover." MATEC Web of Conferences 173 (2018): 02001. http://dx.doi.org/10.1051/matecconf/201817302001.

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Battery life is critical for battery-powered agricultural rovers, so techniques such as optimized moving path planning are of great significance in this field. Finding an optimized path other than straight-line path could save energy and prolong the battery life. Compared with traditional straight-line path planning, an energy-optimized path planning is realized based on artificial potential field algorithm. In simulation studies, most of the uphill is avoided and at least 10.15 % of energy is saved with the optimized path planning. We believe this energy optimization path planning algorithm is a feasible solution to extend the battery life for field operated agricultural rover.

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47

Babu, Boda Naresh, Dr S. P. V. Subba Rao, and Ramaswamy T. "Energy Efficient Base-Station Path Selection for Green Cellular Networks Using Sleep-Wake Technique." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 20, 2019): 309–14. http://dx.doi.org/10.5373/jardcs/v11sp11/20193036.

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48

Mount, Peter F., and David A. Power. "Balancing the energy equation for healthy kidneys." Journal of Pathology 237, no. 4 (September 10, 2015): 407–10. http://dx.doi.org/10.1002/path.4600.

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49

Lezama, Fernando, Joao Soares, Pablo Hernandez-Leal, Michael Kaisers, Tiago Pinto, and Zita Vale. "Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems." IEEE Transactions on Power Systems 34, no. 5 (September 2019): 4081–88. http://dx.doi.org/10.1109/tpwrs.2018.2833959.

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50

Chung, Wing Kwong, and Yangsheng Xu. "Minimum Energy Demand Locomotion on Space Station." Journal of Robotics 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/723535.

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The energy of a space station is a precious resource, and the minimization of energy consumption of a space manipulator is crucial to maintain its normal functionalities. This paper first presents novel gaits for space manipulators by equipping a new gripping mechanism. With the use of wheels locomotion, lower energy demand gaits can be achieved. With the use of the proposed gaits, we further develop a global path planning algorithm for space manipulators which can plan a moving path on a space station with a minimum total energy demand. Different from existing approaches, we emphasize both the use of the proposed low energy demand gaits and the gaits composition during the path planning process. To evaluate the performance of the proposed gaits and path planning algorithm, numerous simulations are performed. Results show that the energy demand of both the proposed gaits and the resultant moving path is also minimum.

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