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Journal articles on the topic 'Energetic optimization'

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Published: 10 March 2023

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1

Dorogi, J., T. Debreceni, and G. Gy. Balázs. "Investigation of eAircraft energetic optimization." Renewable Energy and Power Quality Journal 1, no. 15 (April 2017): 189–92. http://dx.doi.org/10.24084/repqj15.268.

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2

Urbaniak, Kardas-Cinal, and Jacyna. "Optimization of Energetic Train Cooperation." Symmetry 11, no. 9 (September 16, 2019): 1175. http://dx.doi.org/10.3390/sym11091175.

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In the article, possible ways of using energy recovered during regenerative braking of trains are presented. It is pointed out that the return of recovered electricity directly to the catenary and its use in the energy cooperation of vehicles can be a no-cost method (without additional infrastructure). The method of energy cooperation between trains and its main assumptions, that uses the law of conservation of energy, are described in detail. An original model is proposed which assumes optimization by controlling the train arrival time at the station within the technical time reserve. Optimization method was used metaheuristic and adapted swarm algorithm called the firefly algorithm. An exemplary simulation of the energy cooperation of trains for selected stops of a double-track railway line of the Tricity Rapid Urban Railway has been done and the obtained results are presented. Finally, in discussion and conclusions, the results were summarized and the significance of the development of the discussed method for transport rationalization was presented.

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3

Swartz, Wesley E. "Optimization of energetic electron energy degradation calculations." Journal of Geophysical Research 90, A7 (1985): 6587. http://dx.doi.org/10.1029/ja090ia07p06587.

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4

Glanz, S. "Energetic optimization of distillations in hybrid processes." Computers & Chemical Engineering 19, no. 1 (June 11, 1995): S51—S56. http://dx.doi.org/10.1016/0098-1354(95)00151-q.

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5

Glanz, S., and J. Stichlmair. "Energetic optimization of distillations in hybrid processes." Computers & Chemical Engineering 19 (June 1995): 51–56. http://dx.doi.org/10.1016/0098-1354(95)87014-8.

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6

Wong, Jeremy D., Jessica C. Selinger, and J. Maxwell Donelan. "Is natural variability in gait sufficient to initiate spontaneous energy optimization in human walking?" Journal of Neurophysiology 121, no. 5 (May 1, 2019): 1848–55. http://dx.doi.org/10.1152/jn.00417.2018.

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In new walking contexts, the nervous system can adapt preferred gaits to minimize energetic cost. During treadmill walking, this optimization is not usually spontaneous but instead requires experience with the new energetic cost landscape. Experimenters can provide subjects with the needed experience by prescribing new gaits or instructing them to explore new gaits. Yet in familiar walking contexts, people naturally prefer energetically optimal gaits: the nervous system can optimize cost without an experimenter’s guidance. Here we test the hypothesis that the natural gait variability of overground walking provides the nervous system with sufficient experience with new cost landscapes to initiate spontaneous minimization of energetic cost. We had subjects walk over paths of varying terrain while wearing knee exoskeletons that penalized walking as a function of step frequency. The exoskeletons created cost landscapes with minima that were, on average, 8% lower than the energetic cost at the initially preferred gaits and achieved at walking speeds and step frequencies that were 4% lower than the initially preferred values. We found that our overground walking trials amplified gait variability by 3.7-fold compared with treadmill walking, resulting in subjects gaining greater experience with new cost landscapes, including frequent experience with gaits at the new energetic minima. However, after 20 min and 2.0 km of walking in the new cost landscapes, we observed no consistent optimization of gait, suggesting that natural gait variability during overground walking is not always sufficient to initiate energetic optimization over the time periods and distances tested in this study. NEW & NOTEWORTHY While the nervous system can continuously optimize gait to minimize energetic cost, what initiates this optimization process during every day walking is unknown. Here we tested the hypothesis that the nervous system leverages the natural variability in gait experienced during overground walking to converge on new energetically optimal gaits created using exoskeletons. Contrary to our hypothesis, we found that participants did not adapt toward optimal gaits: natural variability is not always sufficient to initiate spontaneous energy optimization.

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Mitsopoulos, Georgios, Evangelos Bellos, and Christos Tzivanidis. "Financial and Energetic Optimization of Greek Buildings Insulation." Designs 2, no. 3 (September 17, 2018): 34. http://dx.doi.org/10.3390/designs2030034.

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The most important parameter in the design of the building envelope is the insulation thickness, because it dramatically influences the heating and cooling loads. The objective of this study is the investigation of different insulation scenarios for the four climate zones of Greece and, more specifically, the cities Heraklion, Athens, Thessaloniki, and Florina. The insulation thickness is examined up to 8 cm and the optimum thickness is determined by the minimization of the simple payback period in order to design a cost-effective system. Moreover, the primary energy consumption, the heating/cooling loads, and the equivalent CO2 emissions are calculated. Furthermore, a multi-objective evaluation procedure of the various insulated scenarios is conducted in order to show the relationship between the energetic and the financial optimization. Generally, it is found that the optimum insulation thickness is around 4 cm for all the climate zones using financial criteria, while the energy criteria indicate higher thicknesses. These results can be applied to the suitable design of Greek residential buildings.

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8

Airimitoaie, Tudor-Bogdan, Dumitru Popescu, Câtâlin Dimon, and Grigore Stâmâtescu. "Robust control and optimization for thermo-energetic installations." IFAC Proceedings Volumes 42, no. 2 (2009): 29–34. http://dx.doi.org/10.3182/20090506-3-sf-4003.00006.

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9

Lodes, Antonín, and Otto Mierka. "New approach to energetic optimization of pneumatic transport." Chemical Engineering and Processing: Process Intensification 28, no. 2 (October 1990): 95–100. http://dx.doi.org/10.1016/0255-2701(90)80005-p.

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10

Komínek, Petr. "Heat Supply Optimization." Advanced Materials Research 1041 (October 2014): 139–45. http://dx.doi.org/10.4028/www.scientific.net/amr.1041.139.

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Due to the energetic evaluation of buildings, the solutions for optimal heat supply are a problem of current interest. The topicality of this problem is underlined by the European Union requirements for reducing the energetic demands of buildings by the year 2020.From the operational point of view, most of the heating systems seem to be optimal; however, with the use of the results of this detailed analysis it is possible to make even further improvement. The objective is not to supply more heat energy than necessary in order to achieve energy saving. This reduction of heat supply can be achieved by the use of the heat accumulation potential of the building by means of appropriately chosen heating mode. By operation modes are meant a mode with constant heating and a mode with interrupted heating.In this sample case of non-stationary simulation during the interrupted heating regime it is possible to demonstrate the potential saving achieved by the chosen interrupted heating mode. The case study is conducted on a secondary school building. In this project, supported by the specific investigation project on the Faculty of Civil Engineering, I carried out an experiment of an interrupted mode, which was also supported by a theoretical part, in which a non-stationary calculation was used.This contribution suggests the possibility to save energy by optimization of the heat supply. It also presents the difference between a stationary and non-stationary solution to this problem.

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11

Williams, Terrie M. "The evolution of cost efficient swimming in marine mammals: limits to energetic optimization." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 354, no. 1380 (January 29, 1999): 193–201. http://dx.doi.org/10.1098/rstb.1999.0371.

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Mammals re–entered the oceans less than 60 million years ago. The transition from a terrestrial to an aquatic lifestyle required extreme morphological and behavioural modifications concomitant with fundamentally different locomotor mechanisms for moving on land and through water. Energetic transport costs typically reflect such different locomotor modes, but can not be discerned from the fossil record. In this study the energetic challenges associated with changing from terrestrial to aquatic locomotion in primitive marine mammals are examined by comparing the transport, maintenance and locomotor costs of extant mammals varying in degree of aquatic specialization. The results indicate that running and swimming specialists have converged on an energetic optimum for locomotion. An allometric expression, COT TOT = 7.79 mass −0.29 ( r 2 = 0.83, n = 6 species), describes the total cost of transport in J kg −1 m −1 for swimming marine mammals ranging in size from 21 kg to 15,000 kg. This relation is indistinguishable from that describing total transport costs in running mammals. In contrast, the transitional lifestyle of semi–aquatic mammals, similar to that of ancestral marine mammals, incurs costs that are 2.4–5.1 times higher than locomotor specialists. These patterns suggest that primitive marine mammals confronted an energetic hurdle before returning to costs reminiscent of their terrestrial ancestry, and may have reached an evolutionary limit for energetic optimization during swimming.

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Del Monte, Marco, Raffaele Meles, and Christian Circi. "Optimization of Interplanetary Trajectories Using the Colliding Bodies Optimization Algorithm." International Journal of Aerospace Engineering 2020 (January 3, 2020): 1–16. http://dx.doi.org/10.1155/2020/9437378.

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In this paper, a recent physics-based metaheuristic algorithm, the Colliding Bodies Optimization (CBO), already employed to solve problems in civil and mechanical engineering, is proposed for the optimization of interplanetary trajectories by using both indirect and direct approaches. The CBO has an extremely simple formulation and does not depend on any initial conditions. To test the performances of the algorithm, missions with remarkably different orbital transfer energies are considered: from the simple planar case, as the Earth-Mars orbital transfer, to more energetic ones, like a rendezvous with the asteroid Pallas.

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D’Angelo, Gianni, Francesco Palmieri, and Antonio Robustelli. "Artificial neural networks for resources optimization in energetic environment." Soft Computing 26, no. 4 (January 21, 2022): 1779–92. http://dx.doi.org/10.1007/s00500-022-06757-x.

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AbstractResource Planning Optimization (RPO) is a common task that many companies need to face to get several benefits, like budget improvements and run-time analyses. However, even if it is often solved by using several software products and tools, the great success and validity of the Artificial Intelligence-based approaches, in many research fields, represent a huge opportunity to explore alternative solutions for solving optimization problems. To this purpose, the following paper aims to investigate the use of multiple Artificial Neural Networks (ANNs) for solving a RPO problem related to the scheduling of different Combined Heat & Power (CHP) generators. The experimental results, carried out by using data extracted by considering a real Microgrid system, have confirmed the effectiveness of the proposed approach.

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14

Airimiţoaie, Tudor-Bogdan, Dumitru Popescu, and Cătălin Dimon. "Advanced control and optimization of a thermo-energetic installations." IFAC Proceedings Volumes 43, no. 17 (2010): 281–86. http://dx.doi.org/10.3182/20100908-3-pt-3007.00062.

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15

Valencia-Ortega, G., and L. A. Arias-Hernandez. "Energetic optimization effects in single resonant tunneling GaAs-nanoconverters." Physica E: Low-dimensional Systems and Nanostructures 124 (October 2020): 114231. http://dx.doi.org/10.1016/j.physe.2020.114231.

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16

Pérez, José Antonio, José Antonio Orosa, and Ángel Martín Costa. "Energetic optimization of the ventilation system in modern ships." Applied Thermal Engineering 108 (September 2016): 816–23. http://dx.doi.org/10.1016/j.applthermaleng.2016.07.176.

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17

Braimakis, Konstantinos, and Sotirios Karellas. "Energetic optimization of regenerative Organic Rankine Cycle (ORC) configurations." Energy Conversion and Management 159 (March 2018): 353–70. http://dx.doi.org/10.1016/j.enconman.2017.12.093.

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18

Stöcker, Sabine, and Daniel Weihs. "Optimization of energetic advantages of burst swimming of fish." Mathematical Methods in the Applied Sciences 24, no. 17-18 (November 25, 2001): 1387–400. http://dx.doi.org/10.1002/mma.187.

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19

Wong, Jeremy D., Shawn M. O’Connor, Jessica C. Selinger, and J. Maxwell Donelan. "Contribution of blood oxygen and carbon dioxide sensing to the energetic optimization of human walking." Journal of Neurophysiology 118, no. 2 (August 1, 2017): 1425–33. http://dx.doi.org/10.1152/jn.00195.2017.

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Human gait adaptation implies that the nervous system senses energetic cost, yet this signal is unknown. We tested the hypothesis that the blood gas receptors sense cost for gait optimization by controlling blood O2 and CO2 with step frequency as people walked. At the simulated energetic minimum, ventilation and perceived exertion were lowest, yet subjects preferred walking at their original frequency. This suggests that blood gas receptors are not critical for sensing cost during gait.

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20

Yezioro, Abraham, and Isaac Guedi Capeluto. "A Model for the Energetic-Economic Optimization of Office Buildings." Architectural Science Review 50, no. 4 (December 2007): 331–39. http://dx.doi.org/10.3763/asre.2007.5040.

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21

Montero Laurencio, Reineris. "Energetic optimization of the chilled water systems operation at hotels." Inteligencia Artificial 18, no. 56 (December 18, 2015): 43. http://dx.doi.org/10.4114/intartif.vol18iss56pp43-46.

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The hotel exploitation, while continuing to satisfy the customers, needs to decrease the requests of electric power as the principal energy carrier. Solving issues regarding the occupation of a hotel integrally, taking the air conditioning as center of attention, which demands the bigger consumptions of electricity, results in a complex task. To solve this issue, a procedure was implemented to optimize the operation of the water-chilled systems. The procedure integrates an energy model with a strategy of low occupation following energetic criteria based on combinatorial-evolutionary criteria. To classify the information, the formulation of the tasks and the synthesis of the solutions, a methodology of analysis and synthesis of engineering is used. The energetic model considers the variability of the local climatology and the occupation of the selected rooms, and includes: the thermal model of the building obtained by means of artificial neural networks, the hydraulic model and the model of the compression work. These elements allow to find the variable of decision occupation, performing intermediate calculations to obtain the velocity of rotation in the centrifugal pump and the output temperature of the cooler water, minimizing the requirements of electric power in the water-chilled systems. To evaluate the states of the system, a combinatorial optimization is used through the following methods: simple exhaustive, stepped exhaustive or genetic algorithm depending on the quantity of variants of occupation. All calculation tasks and algorithms of the procedure were automated through a computer application.

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22

Arudchelvam, Yalini, and Nagamany Nirmalakhandan. "Energetic optimization of microalgal cultivation in photobioreactors for biodiesel production." Renewable Energy 56 (August 2013): 77–84. http://dx.doi.org/10.1016/j.renene.2012.09.042.

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23

Dellachà, Jacopo, Lorenzo Damiani, Matteo Repetto, and Alessandro Pini Prato. "Dynamic Model for the Energetic Optimization of Turbocompound Hybrid Powertrains." Energy Procedia 45 (2014): 1047–56. http://dx.doi.org/10.1016/j.egypro.2014.01.110.

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24

Faleh, Salha, Tahar Khir, and Ammar Ben Brahim. "Energetic Performance Optimization of a SOFC–GT Hybrid Power Plant." Arabian Journal for Science and Engineering 42, no. 4 (December 7, 2016): 1505–15. http://dx.doi.org/10.1007/s13369-016-2363-4.

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25

Kumar, Naveen, Vagish Dilawari, and Ankit Bansal. "Chemical equilibrium analysis of energetic materials using Particle Swarm Optimization." Fluid Phase Equilibria 522 (November 2020): 112738. http://dx.doi.org/10.1016/j.fluid.2020.112738.

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26

Balat, M., and B. Spinner. "Optimization of a chemical heat pump: Energetic density and power." Heat Recovery Systems and CHP 13, no. 3 (May 1993): 277–85. http://dx.doi.org/10.1016/0890-4332(93)90017-p.

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27

Frilli, Amedeo, Enrico Meli, Daniele Nocciolini, Luca Pugi, and Andrea Rindi. "Energetic optimization of regenerative braking for high speed railway systems." Energy Conversion and Management 129 (December 2016): 200–215. http://dx.doi.org/10.1016/j.enconman.2016.10.011.

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28

Ding, Jiatao, Jiangchen Zhou, Zhao Guo, and Xiaohui Xiao. "Energy-Efficient Bipedal Walking: From Single-Mass Model to Three-Mass Model." Robotica 39, no. 9 (February 22, 2021): 1537–59. http://dx.doi.org/10.1017/s0263574720001320.

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SUMMARYThe work aims to realize energy-efficient bipedal walking by employing the three-mass inverted pendulum model (3MIPM) and compare its energy performance with linear inverted pendulum model (LIPM). To do this, a general optimal index on center of mass (CoM) acceleration is first derived for energetic cost evaluation. After defining the equivalent zero moment point (ZMP) motion, an unconstrained optimization approach for CoM generation is extended for 3MIPM, which can track different ZMP references and address the height variation as well. To make use of the allowable ZMP movement, a constrained optimization method is also employed, contributing to lower energetic cost. Simulation and hardware experiments on a humanoid robot demonstrate that the 3MIPM could achieve higher energy efficiency.

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29

Alexandru, Cătălin. "Design and Optimization of a Monoaxial Tracking System for Photovoltaic Modules." Journal of Solar Energy 2013 (July 28, 2013): 1–6. http://dx.doi.org/10.1155/2013/586302.

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This paper presents researches on increasing the energetic efficiency of a photovoltaic (PV) string by designing and optimizing a tracking mechanism that simultaneously changes the daily position of the modules using a single driving source (there are modules with individual supports). The motion is transmitted from the driving source, which is a linear actuator, with a parallelogram mechanism. The main task in optimizing the tracking system is to maximize the energetic gain by increasing the solar input and minimizing the energy demand for tracking. The study is performed by developing the virtual prototype of the tracking system, which integrates the mechanical device and the control system, in mechatronic concept. Virtual prototyping software solutions (ADAMS, EASY5, and MAT) are used in this study.

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30

Sorokina, Larisa, Roman Ryazanov, Yury Shaman, and Egor Lebedev. "Electrophoretic deposition of Al-CuOx thermite materials on patterned electrodes for microenergetic applications." E3S Web of Conferences 239 (2021): 00015. http://dx.doi.org/10.1051/e3sconf/202123900015.

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In this paper, the features and main nuances of electrophoretic deposition of energetic nanoscale powder materials based on Al and CuOx were investigated and formulated. We have successfully demonstrated the advantage of using suspension non-stop ultrasonic mixing and horizontal electrode placement during deposition. The possibility of local deposition of energetic materials on an electrically conductive topological pattern was shown. The influence of the mass of the deposited material on the behavior of the wave combustion process of a locally formed energetic material was investigated. This study provides guidance for the multiobjective optimization and increasing the reproducibility of the local electrophoretic deposition process of energetic materials. The results indicate that Al-CuOx mixture can be integrated into microenergy systems as a material with excellent specific energy characteristics and high combustion rate.

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31

O'Connor, Shawn M., and J. Maxwell Donelan. "Fast visual prediction and slow optimization of preferred walking speed." Journal of Neurophysiology 107, no. 9 (May 1, 2012): 2549–59. http://dx.doi.org/10.1152/jn.00866.2011.

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People prefer walking speeds that minimize energetic cost. This may be accomplished by directly sensing metabolic rate and adapting gait to minimize it, but only slowly due to the compounded effects of sensing delays and iterative convergence. Visual and other sensory information is available more rapidly and could help predict which gait changes reduce energetic cost, but only approximately because it relies on prior experience and an indirect means to achieve economy. We used virtual reality to manipulate visually presented speed while 10 healthy subjects freely walked on a self-paced treadmill to test whether the nervous system beneficially combines these two mechanisms. Rather than manipulating the speed of visual flow directly, we coupled it to the walking speed selected by the subject and then manipulated the ratio between these two speeds. We then quantified the dynamics of walking speed adjustments in response to perturbations of the visual speed. For step changes in visual speed, subjects responded with rapid speed adjustments (lasting <2 s) and in a direction opposite to the perturbation and consistent with returning the visually presented speed toward their preferred walking speed, when visual speed was suddenly twice (one-half) the walking speed, subjects decreased (increased) their speed. Subjects did not maintain the new speed but instead gradually returned toward the speed preferred before the perturbation (lasting >300 s). The timing and direction of these responses strongly indicate that a rapid predictive process informed by visual feedback helps select preferred speed, perhaps to complement a slower optimization process that seeks to minimize energetic cost.

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32

Alexandru, Cătălin. "Modeling and Simulation in Virtual Prototyping Environment of a Photovoltaic Tracking System." Applied Mechanics and Materials 436 (October 2013): 100–107. http://dx.doi.org/10.4028/www.scientific.net/amm.436.100.

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The paper presents the modeling and simulation of the mechatronic tracking system used for a photovoltaic module. The mechanical model of the sun tracker is developed by using the MBS environment ADAMS, while the DFC software EASY5 is used for the control system design. The study is approached in concurrent engineering concept, integrating the mechanical and control models at the virtual prototype level. The main task of the design refers to the energetic efficiency, by maximizing the energetic gain (i.e. the solar input), and minimizing the energy consumption for performing the tracking. The design of the motion law is focused on determining the optimal actuating times, considering the energetic efficiency as design objective for the optimization.

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33

Mitrović, Ratko. "Optimal Utilization of Hydro-Energetic Potential of Flows on Moraca River." Hydro Nepal: Journal of Water, Energy and Environment 8 (October 12, 2012): 61–68. http://dx.doi.org/10.3126/hn.v8i0.4927.

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The process of finding optimal solution for utilization of hydro-energetic potential of a river flow is a very complex procedure, because it is necessary to find a compromise between an energetically optimal solution and a solution with lower negative influence on the environment and sociological conditions, which is often contradictory in practice. In order to show more precisely the complexity in choosing an optimal solution for utilization of hydro-energetic potential of a river flow, a mathematical model of multi-criteria optimization and multi-criteria rating for different variants of utilization of the River Moraca basin is posited. For the process of multi-criteria optimization, a complete software packages and large documentation as well as preliminary projects for planned hydropower plants have been used. The aim is to reach an optimal utilization of hydro-energetic potential of a river flow, especially in cases when the existing investigations do not give priority to a particular variant, and the hydropower plants has to be constructed in near future.DOI: http://dx.doi.org/10.3126/hn.v8i0.4927 Hydro Nepal: Journal of Water, Energy and Environment Issue No. 8, 2011 JanuaryPage: 61-68Uploaded date: 23 June, 2011

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34

Dlabaja, T., and J. Malaťák. "Optimization of anaerobic fermentation of kitchen waste." Research in Agricultural Engineering 59, No. 1 (March 6, 2013): 1–8. http://dx.doi.org/10.17221/2/2012-rae.

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Anaerobic fermentation is a suitable method of energetic and material utilisation of waste coming from restaurants and canteens. Laboratory experiments of wet anaerobic fermentation were performed in a continuous reactor and in batch reactors under mesophilic conditions. Effects of hydraulic retention time, organic loading rate, period of feeding and recirculation of digestate were examined in the continuous reactor. Effects of substrate pre-treatment (crushing, heating, freezing) were examined in the batch reactors. Degree of substrate degradation ranged between 83–85% within hydraulic retention time of 2–30 days. Appropriate organic loading rate was found in the range 2–3 kg of volatile solids per m3/day. Recirculation of digestate (both an inoculum for fresh substrate and replacement of fresh water supply) caused an increase in ammonia concentration and led to immediate inhibition of the process. The results further showed a positive effect of substrate pre-treatment in the initial phase of fermentation. However, degree of degradation did not show a significant increase for the period of 20 days of fermentation.    

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35

Khlebnikov, D. G., and I. A. Prokopishin. "Deformation and Energetic Tests for Optimization of Residual Stresses in Shells." Journal of Automation and Information Sciences 30, no. 4-5 (1998): 51–60. http://dx.doi.org/10.1615/jautomatinfscien.v30.i4-5.60.

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36

El Fiti, Maryam, Mustapha Salihi, Yasser Harmen, Younes Chhiti, Ahmed Chebak, Fatima Ezzahrae M'Hamdi Alaoui, Mounia Achak, Fouad Bentiss, and Charafeddine Jama. "Energetic performance optimization of a coaxial phase change material (PCM) regenerator." Journal of Energy Storage 50 (June 2022): 104571. http://dx.doi.org/10.1016/j.est.2022.104571.

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37

Murakami, S., H. Yamada, M. Sasao, M. Isobe, T. Ozaki, T. Saida, P. Goncharov, et al. "Effect of Neoclassical Transport Optimization on Energetic Ion Confinement in LHD." Fusion Science and Technology 46, no. 2 (September 2004): 241–47. http://dx.doi.org/10.13182/fst04-a561.

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38

Morais-Cabral, João H., Yufeng Zhou, and Roderick MacKinnon. "Energetic optimization of ion conduction rate by the K+ selectivity filter." Nature 414, no. 6859 (November 2001): 37–42. http://dx.doi.org/10.1038/35102000.

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39

Tgarguifa, Ahmed, Souad Abderafi, and Tijani Bounahmidi. "Energetic optimization of Moroccan distillery using simulation and response surface methodology." Renewable and Sustainable Energy Reviews 75 (August 2017): 415–25. http://dx.doi.org/10.1016/j.rser.2016.11.006.

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40

Atay, Stefan, Tyler Jenkins, Gregory Buckner, and Matthew Bryant. "Energetic analysis and optimization of a bi-modal rolling-flying vehicle." International Journal of Intelligent Robotics and Applications 4, no. 1 (March 2020): 3–20. http://dx.doi.org/10.1007/s41315-020-00119-2.

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41

Xia, Min, Qifa Yao, Huilian Yang, Tao Guo, Xiuxin Du, Yanjie Zhang, Guoping Li, and Yunjun Luo. "Preparation of Bi2O3/Al Core-Shell Energetic Composite by Two-Step Ball Milling Method and Its Application in Solid Propellant." Materials 12, no. 11 (June 11, 2019): 1879. http://dx.doi.org/10.3390/ma12111879.

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In this article, Bi2O3/Al high-density energetic composites with a core-shell structure were prepared by a two-step ball milling method using a common planetary ball milling instrument, and their morphology, structure, and properties were characterized in detail. Through a reasonable ratio design and optimization of the ball milling conditions, the density of the Bi2O3/Al core-shell energetic composite is increased by about 11.3% compared to that of the physical mixed sample under the same conditions. The DSC (Differential Scanning Calorimetry) test also showed that the exothermic quantity of the thermite reaction of the energetic composite reached 2112.21 J/g, which is very close to the theoretical exothermic quantity. The effect of Bi2O3/Al core-shell energetic composite on the energy performance of insensitive HTPE propellant was further studied. The theoretical calculation results showed that replacing the partial Al with Bi2O3/Al core-shell energetic composite can make the density of propellant reach 2.056 g/cm3, and the density specific impulse reach 502.3 s·g/cm3, which is significantly higher than the density and density specific impulse of the conventional composite solid propellant. The thermal test showed that the explosive heat of the HTPE (Hydroxyl terminated polyether) propellant also increased with the increase of the content of Bi2O3/Al core-shell energetic composite.

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42

Ionită, Monica Alina, and Cătălin Alexandru. "Control System Design for a Mechatronic Solar Tracker." Applied Mechanics and Materials 332 (July 2013): 248–53. http://dx.doi.org/10.4028/www.scientific.net/amm.332.248.

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This paper presents the optimization of a tracking system for photovoltaic modules, regarding the growth of energetic efficiency. The study takes into consideration the optimization of the control system, which is developed with the commercial DFC (Design for Control) software environment EASY5. The tracking system is approached in mechatronic concept, by integrating the control system and the mechanical device of the solar tracker at the virtual prototype level. The optimization is performed by using parametric design technique, the design variables for optimization being the amplification factors of the controllers. The optimization study leads to the maximization of the incident solar radiation gain by minimizing the tracking errors.

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Wiśniewski, Krzysztof, and Joanna Witkowska-Dobrev. "Material and design analysis of external baffles in inventory buildings with consideration of optimization of usable energy." Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 28, no. 4 (December 29, 2019): 557–68. http://dx.doi.org/10.22630/pniks.2019.28.4.51.

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The main objective of the performed investigations was an analysis of baffles of various construction and production technology with respect of usable energy demand. The investigations encompassed calculations of the energetic performance of fatteners’ piggery building as well as heat and humidity calculations of baffles. The energetic calculations were performed for two variants of execution and heat insulation of external baffles as well as two variants of roofs. The analysis contained the baffles made in two technologies: industrialized and traditional modernized, for three climate zones. For the individual variants, the usable energy demand in heating season as well as specific usable energy demand per one fattener were calculated.

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Szodrai, Ferenc, Sándor Pálinkás, and György Juhász. "Calculations of Performance Losses for Automobile Vehicles." International Journal of Engineering and Management Sciences 5, no. 2 (April 15, 2020): 210–18. http://dx.doi.org/10.21791/ijems.2020.2.27.

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Vehicle-energetic-models are used to analyze the performances and when a comprehensive structure is established even optimization could be done. For these kinds of models, the losses of the vehicles have to be known. These losses could significantly effect of the vehicle fuel consumption. From these losses the rolling resistance, drive elements and aerodynamic drag are discussed. This paper reviews some of the literatures that describes the calculation methods and gives us some idea about the degree of their value. Our further goals are to have an UpToDate loss coefficient dataset and calculation methods for further vehicle-energetic modelling.

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Ben Abda, Amel, Emna Jaïem, Sinda Khalfallah, and Abdelmalek Zine. "An energy gap functional: Cavity identification in linear elasticity." Journal of Inverse and Ill-posed Problems 25, no. 5 (October 1, 2017): 573–95. http://dx.doi.org/10.1515/jiip-2016-0067.

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AbstractThe aim of this work is an analysis of some geometrical inverse problems related to the identification of cavities in linear elasticity framework. We rephrase the inverse problem into a shape optimization one using an energetic least-squares functional. The shape derivative of this cost functional is combined with the level set method in a steepest descent algorithm to solve the shape optimization problem. The efficiency of this approach is illustrated by several numerical results.

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Paraschiv, Gigel, Georgiana Moiceanu, Gheorghe Voicu, Mihai Chitoiu, Petru Cardei, Mirela Nicoleta Dinca, and Paula Tudor. "Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling." Sustainability 13, no. 2 (January 19, 2021): 973. http://dx.doi.org/10.3390/su13020973.

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Our paper presents the hammer mill working process optimization problem destined for milling energetic biomass (MiscanthusGiganteus and Salix Viminalis). For the study, functional and constructive parameters of the hammer mill were taken into consideration in order to reduce the specific energy consumption. The energy consumption dependency on the mill rotor spinning frequency and on the sieve orifices in use, as well as on the material feeding flow, in correlation with the vegetal biomass milling degree was the focus of the analysis. For obtaining this the hammer mill was successively equipped with 4 different types of hammers that grind the energetic biomass, which had a certain humidity content and an initial degree of reduction ratio of the material. In order to start the optimization process of hammer mill working process, 12 parameters were defined. The objective functions which minimize hammer mill energy consumption and maximize the milled material percentage with a certain specific granulation were established. The results obtained can serve as the basis for choosing the optimal working, constructive, and functional parameters of hammer mills in this field, and for a better design of future hammer mills.

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Bellos, Evangelos, Ilias Daniil, and Christos Tzivanidis. "Energetic and Financial Optimization of Solar Heat Industry Process with Parabolic Trough Collectors." Designs 2, no. 3 (July 16, 2018): 24. http://dx.doi.org/10.3390/designs2030024.

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The objective of this work is the investigation of a solar heat industry process with parabolic trough solar collectors. The analysis is conducted for the climate conditions of Athens (Greece) and for five load temperature levels (100 °C, 150 °C, 200 °C, 250 °C, and 300 °C). The examined configuration combines parabolic trough solar collectors coupled to a storage tank and an auxiliary heat source for covering the thermal need of 100 kW. The solar thermal system was optimized using the collecting area and the storage tank volume as the optimization variables. There are three different optimization procedures, using different criteria in every case. More specifically, the solar coverage maximization, the net present value maximization, and the payback period minimization are the goals of the three different optimization procedures. Generally, it is found that the payback period is between five and six years, the net present value is between 500–600 k€, and the solar coverage is close to 60%. For the case of the 200 °C temperature level, the optimum design using the net present value criterion indicates 840 m2 of solar collectors coupled to a storage tank of 15.3 m3. The optimization using the solar cover indicates the use of 980 m2 of solar collectors with a tank of 28 m3, while the payback period minimization is found for a 560 m2 collecting area and an 8-m3 storage tank volume. The results of this work can be used for the proper design of solar heat industry process systems with parabolic trough collectors.

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Gong, Linchen. "Investigation on Energetic Optimization Problems of Stochastic Thermodynamics with Iterative Dynamic Programming." Communications in Computational Physics 7, no. 5 (June 2010): 904–26. http://dx.doi.org/10.4208/cicp.2009.09.123.

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Geeroms, Joost, Louis Flynn, Rene Jimenez-Fabian, Bram Vanderborght, and Dirk Lefeber. "Energetic analysis and optimization of a MACCEPA actuator in an ankle prosthesis." Autonomous Robots 42, no. 1 (June 17, 2017): 147–58. http://dx.doi.org/10.1007/s10514-017-9641-1.

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Dumas, Antonio, Michele Trancossi, and Mauro Madonia. "Energetic Design and Optimization of a Large Photovoltaic Stratospheric Unconventional Feeder Airship." SAE International Journal of Aerospace 5, no. 2 (October 22, 2012): 354–70. http://dx.doi.org/10.4271/2012-01-2166.

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