Relevant bibliographies by topics / High Speed train, Energy recovery

Academic literature on the topic 'High Speed train, Energy recovery'

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Published: 10 March 2023

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Journal articles on the topic "High Speed train, Energy recovery"

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Li, Ruoqiong, Junjie Wang, Xuan Zhao, and Xin Li. "Segmented Power Supply Preset Control Method of High-Speed Rail Contactless Traction Power Supply System considering Regenerative Braking Energy Recovery." Mathematical Problems in Engineering 2020 (December 19, 2020): 1–15. http://dx.doi.org/10.1155/2020/6698688.

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For high-speed rail with high energy consumption, the recovery and utilization of regenerative braking energy is essential to improve the energy consumption of high-speed rail. As a technical link, the energy bidirectional feed inductively coupled power transfer (ICPT) system can realize the regenerative braking energy recovery of the contactless traction power supply system. Furthermore, considering that the braking energy of the high-speed rail is the largest when entering the station during the whole line operation, the braking section of the station is mainly considered. This paper proposes a preset control method for segmented power supply of the energy bidirectional feed ICPT system considering regenerative braking energy recovery. By establishing the steady-state mathematical model of the bidirectional ICPT system, the influence of the internal phase-shift angles φ1 and φ2 and the external phase-shift angle γ on the operating state of the system is analyzed. To realize system synchronization under the operation of EMUs, a train braking model is established through force analysis, and a power preset controller is designed to realize the synchronous control of the power flow of the bilateral system. According to the braking process of the train entering the station, the switching control method of the segment coil under the different conditions of the single train entering the station and the multitrain entering the station is proposed to ensure the reliability and flexibility of the train power supply. The simulation results of the 350 kW ICPT system simulation model show that the system can operate stably when the power transmission simulation is switched, and the transmission efficiency can reach 89%, which proves the feasibility of the control method. Energy-saving estimates show that a single train can recover about 200–300 kWh of electric energy during single braking. The comparison with the measured data verifies the accuracy of the modeling in this paper.
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Li, Xiang, and Ziyou Gao. "Cost-benefit analysis for regenerative energy storage in metro." Chinese Management Studies 11, no. 1 (April 3, 2017): 19–34. http://dx.doi.org/10.1108/cms-01-2017-0002.

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Purpose Regenerative braking is an efficient energy saving technology in urban rail system, in which the recovery energy from braking trains is collected by some equipments and released to accelerating trains when needed. However, the high cost and low lifetime of storage devices prevent the widespread use of this technology. The purpose of this paper is to conduct thorough cost-benefit analysis to facilitate China’s urban rail companies to make decisions on the use of such technology. Design/methodology/approach To evaluate the benefit from regenerative energy storage, the authors formulate an improved integrated scheduling and speed control model to calculate the net energy consumption associated with different energy recovery rates and then define the benefit as the amount of energy saving arising from the usage of storage equipments. With the frequent charge/discharge operations on storage equipments, the energy recovery rate generally decreases which lowers the benefit, but the maintenance cost increases. By trading-off benefit and cost, the authors derive the optimal scrapping time, the maximum profit and the profitability condition for storage devices. Findings Simulation studies based on the Beijing Metro Yizhuang Line of China are given. The results show that compared with the current timetable and speed profile, the integrated scheduling and speed control approach with energy recovery rate of 0.5 can reduce the net energy consumption by 12.69 per cent; the net energy consumption can be well approximated as a linear function of energy recovery rate; and the maximum profit and the optimal scrapping time on regenerative energy storage devices are both positively related to the electricity price. The allowance proportion and the number of service trains such that busy lines with higher electricity price or allowance proportion have advantages to use the regenerative energy storage devices. Research limitations/implications In this work, a linear energy recovery rate and a linear maintenance cost are used in the cost-benefit analysis process. In future research, the more accurate expressions on energy recovery rate and maintenance cost should be considered if more data on recovery rate and maintenance cost can be gathered. Originality/value The main values of this paper are to develop the integrated optimization approaches for train scheduling and speed control and, on this basis, make thorough cost-benefit analysis for regenerative energy storage to improve the operations management of urban rail transit.
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Cunillera, Alejandro, Adrián Fernández-Rodríguez, Asunción P. Cucala, Antonio Fernández-Cardador, and Maria Carmen Falvo. "Assessment of the Worthwhileness of Efficient Driving in Railway Systems with High-Receptivity Power Supplies." Energies 13, no. 7 (April 10, 2020): 1836. http://dx.doi.org/10.3390/en13071836.

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Eco-driving is one of the most important strategies for significantly reducing the energy consumption of railways with low investments. It consists of designing a way of driving a train to fulfil a target running time, consuming the minimum amount of energy. Most eco-driving energy savings come from the substitution of some braking periods with coasting periods. Nowadays, modern trains can use regenerative braking to recover the kinetic energy during deceleration phases. Therefore, if the receptivity of the railway system to regenerate energy is high, a question arises: is it worth designing eco-driving speed profiles? This paper assesses the energy benefits that eco-driving can provide in different scenarios to answer this question. Eco-driving is obtained by means of a multi-objective particle swarm optimization algorithm, combined with a detailed train simulator, to obtain realistic results. Eco-driving speed profiles are compared with a standard driving that performs the same running time. Real data from Spanish high-speed lines have been used to analyze the results in two case studies. Stretches fed by 1 × 25 kV and 2 × 25 kV AC power supply systems have been considered, as they present high receptivity to regenerate energy. Furthermore, the variations of the two most important factors that affect the regenerative energy usage have been studied: train motors efficiency ratio and catenary resistance. Results indicate that the greater the catenary resistance, the more advantageous eco-driving is. Similarly, the lower the motor efficiency, the greater the energy savings provided by efficient driving. Despite the differences observed in energy savings, the main conclusion is that eco-driving always provides significant energy savings, even in the case of the most receptive power supply network. Therefore, this paper has demonstrated that efforts in improving regenerated energy usage must not neglect the role of eco-driving in railway efficiency.
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Hou, Zhiqiang, Lena Jingen Liang, Bo Meng, and HwanSuk Chris Choi. "The Role of Perceived Quality on High-Speed Railway Tourists’ Behavioral Intention: An Application of the Extended Theory of Planned Behavior." Sustainability 13, no. 22 (November 10, 2021): 12386. http://dx.doi.org/10.3390/su132212386.

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Since the COVID-19 pandemic, airlines worldwide have enforced strict travel restrictions, driving passengers to seek alternative transportations such as High-Speed Railway (HSR). Nevertheless, the current understanding of HSR travelers’ behavior is scarce. Moreover, despite the extensive application of the Theory of Planned Behavior (TPB) to explain and predict patrons and tourists’ behavior in the tourism and hospitality context, little research has employed this theory to examine HSR travelers’ processes in making travelling decisions. This study developed a research model by integrating perceived quality into the TPB and examined the relation between HSR passengers’ service quality and intention to travel in the future and the mediating effect of TPB attributes. It is found that perceived train service quality and perceived travel quality have a significant influence on the TPB attributes, which further influence HSR travelers’ travel intention. This study contributes practical implications to destinations and the travel industry that they might attract visitors by marketing the corresponding HSR train service quality and travel experience quality. This also provides recovery guidelines for the transportation and travel industry after the COVID-19 pandemic.
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Robertson, Sherry, Dan Benardot, and Margo Mountjoy. "Nutritional Recommendations for Synchronized Swimming." International Journal of Sport Nutrition and Exercise Metabolism 24, no. 4 (August 2014): 404–13. http://dx.doi.org/10.1123/ijsnem.2014-0013.

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The sport of synchronized swimming is unique, because it combines speed, power, and endurance with precise synchronized movements and high-risk acrobatic maneuvers. Athletes must train and compete while spending a great amount of time underwater, upside down, and without the luxury of easily available oxygen. This review assesses the scientific evidence with respect to the physiological demands, energy expenditure, and body composition in these athletes. The role of appropriate energy requirements and guidelines for carbohydrate, protein, fat, and micronutrients for elite synchronized swimmers are reviewed. Because of the aesthetic nature of the sport, which prioritizes leanness, the risks of energy and macronutrient deficiencies are of significant concern. Relative Energy Deficiency in Sport and disordered eating/eating disorders are also of concern for these female athletes. An approach to the healthy management of body composition in synchronized swimming is outlined. Synchronized swimmers should be encouraged to consume a well-balanced diet with sufficient energy to meet demands and to time the intake of carbohydrate, protein, and fat to optimize performance and body composition. Micronutrients of concern for this female athlete population include iron, calcium, and vitamin D. This article reviews the physiological demands of synchronized swimming and makes nutritional recommendations for recovery, training, and competition to help optimize athletic performance and to reduce risks for weight-related medical issues that are of particular concern for elite synchronized swimmers.
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Arribalzaga, Soledad, Aitor Viribay, Julio Calleja-González, Diego Fernández-Lázaro, Arkaitz Castañeda-Babarro, and Juan Mielgo-Ayuso. "Relationship of Carbohydrate Intake during a Single-Stage One-Day Ultra-Trail Race with Fatigue Outcomes and Gastrointestinal Problems: A Systematic Review." International Journal of Environmental Research and Public Health 18, no. 11 (May 27, 2021): 5737. http://dx.doi.org/10.3390/ijerph18115737.

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Due to the high metabolic and physical demands in single-stage one-day ultra-trail (SOUT) races, athletes should be properly prepared in both physical and nutritional aspects in order to delay fatigue and avoid associated difficulties. However, high carbohydrate (CHO) intake would seem to increase gastrointestinal (GI) problems. The main purpose of this systematic review was to evaluate CHO intake during SOUT events as well as its relationship with fatigue (in terms of internal exercise load, exercise-induced muscle damage (EIMD) and post-exercise recovery) and GI problems. A structured search was carried out in accordance with PRISMA guidelines in the following: Web of Science, Cochrane Library and Scopus databases up to 16 March 2021. After conducting the search and applying the inclusion/exclusion criteria, eight articles in total were included in this systematic review, in all of which CHO intake involved gels, energy bars and sports drinks. Two studies associated higher CHO consumption (120 g/h) with an improvement in internal exercise load. Likewise, these studies observed that SOUT runners whose intake was 120 g/h could benefit by limiting the EIMD observed by CK (creatine kinase), LDH (lactate dehydrogenase) and GOT (aspartate aminotransferase), and also improve recovery of high intensity running capacity 24 h after a trail marathon. In six studies, athletes had GI symptoms between 65–82%. In summary, most of the runners did not meet CHO intake standard recommendations for SOUT events (90 g/h), while athletes who consumed more CHO experienced a reduction in internal exercise load, limited EIMD and improvement in post-exercise recovery. Conversely, the GI symptoms were recurrent in SOUT athletes depending on altitude, environmental conditions and running speed. Therefore, a high CHO intake during SOUT events is important to delay fatigue and avoid GI complications, and to ensure high intake, it is necessary to implement intestinal training protocols.
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Cheng, Yao, Dong Zou, Weihua Zhang, and Zhiwei Wang. "A Hybrid Time-Frequency Analysis Method for Railway Rolling-Element Bearing Fault Diagnosis." Journal of Sensors 2019 (January 10, 2019): 1–12. http://dx.doi.org/10.1155/2019/8498496.

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The health condition of rolling-element bearings is important for machine performance and operating safety. Due to external interferences, the impulse-related fault information is always buried in the raw vibration signal. To solve this problem, a hybrid time-frequency analysis method combining ensemble local mean decomposition (ELMD) and the Teager-Kaiser energy operator (TKEO) is proposed for the fault diagnosis of high-speed train bearings. The ELMD method is a significant improvement over local mean decomposition (LMD) for addressing the mode-mixing problem. The TKEO method is effective for separating amplitude-modulated (AM) and frequency-modulated (FM) signals from a raw signal. But it is only valid for monocomponent AM-FM signals. The proposed time-frequency method integrates the advantages of ELMD and TKEO to detect localized defects in rolling-element bearings. First, a raw signal is decomposed into an ensemble of PFs and a residual component using ELMD. A novel sensitive parameter (SP) is introduced to select the sensitive PF that contains the most fault-related information. Subsequently, the TKEO is applied to extract both the amplitude and frequency modulations from the selected PF. The experimental results of rolling element and outer race fault signals confirmed that the proposed method could effectively recover fault information from raw signals contaminated by strong noise and other interferences.
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Hou, Yafei, Chao Wen, Ping Huang, Liping Fu, and Chaozhe Jiang. "Delay recovery model for high-speed trains with compressed train dwell time and running time." Railway Engineering Science 28, no. 4 (November 24, 2020): 424–34. http://dx.doi.org/10.1007/s40534-020-00225-8.

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AbstractModeling the application of train operation adjustment actions to recover from delays is of great importance to supporting the decision-making of dispatchers. In this study, the effects of two train operation adjustment actions on train delay recovery were explored using train operation records from scheduled and actual train timetables. First, the modeling data were sorted to extract the possible influencing factors under two typical train operation adjustment actions, namely the compression of the train dwell time at stations and the compression of the train running time in sections. Stepwise regression methods were then employed to determine the importance of the influencing factors corresponding to the train delay recovery time, namely the delay time, the scheduled supplement time, the running interval, the occurrence time, and the place where the delay occurred, under the two train operation adjustment actions. Finally, the gradient-boosted regression tree (GBRT) algorithm was applied to construct a delay recovery model to predict the delay recovery effects of the train operation adjustment actions. A comparison of the prediction results of the GBRT model with those of a random forest model confirmed the better performance of the GBRT prediction model.
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Yang, Xiao Yan, You Gang Xiao, and Yu Shi. "Statistical Energy Analysis of Wind Noise in High-Speed Train Cab." Applied Mechanics and Materials 249-250 (December 2012): 307–13. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.307.

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Statistical energy analysis(SEA) method has many advantages in analysis of high frequency, high modal density and complex dynamic systems. Dividing high-speed train cab into a series of sub-systems, the SEA model of high-speed train cab was established. The factors affecting the cab noise, such as modal density, damping loss factors, coupling loss factors, were gotten by theoretical analysis combined with experiments. Using large eddy simulation method, the fluctuation pressures from train head surface were calculated. Using fluctuation pressure as excitation source, wind noise spectra and power flow of sub-systems in cab were obtained, which provided the basis for the control of high-speed train cab noise.
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孙, 海荣. "Analysis on the Energy Consumption of High-Speed Train." Open Journal of Acoustics and Vibration 05, no. 04 (2017): 61–66. http://dx.doi.org/10.12677/ojav.2017.54009.

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Dissertations / Theses on the topic "High Speed train, Energy recovery"

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Morris, Seth Henderson. "Quasi-Transient Calculation of Surface Temperatures on a Reusable Booster System with High Angles of Attack." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1324573899.

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Daffix, Hervé. "Étude d'une machine entièrement supraconductrice de 150 kW à 400 tr/min." Grenoble INPG, 1996. http://www.theses.fr/1996INPG0138.

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Les premières réalisations supra-électrotechniques AC sont très récentes. Dans le domaine des machines tournantes, les recherches antérieures concernent les alternatives. L'objet de ce travail est l'étude d'un moteur entièrement supraconducteur de 150 kW à 400 tr/min. Nous nous sommes intéressés au problème des pertes supraconductrices. Des programmes de calcul utilisables dans le cadre des machines tournantes ont été développés. Nous avons mis au point une méthode de mesure expérimentale, de nature électrique, qui fournit un signal de pertes et permet d'analyser les différentes contributions (hystérésis, champ propre, courants induits. . . ). Compte-tenu des contraintes cryogéniques, une machine supraconductrice se caractérise par sa structure l'aire. Cette configuration permet d'augmenter les performances volumique et massique, mais entraîne des problèmes de stabilité dynamique. Ce point peut être corrigé en autopilotant la machine par un convertisseur de puissance. La conception générale de la machine de 150 kW à 400 tr/min montre les performances atteintes par la solution entièrement supraconductrice. L'influence de certains paramètres de dimensionnement (taux d'utilisation du conducteur, nombre de paires de pôles. . . ) a retenu une attention particulière. Dans la mesure où les propriétés des semi-conducteurs dépendent fortement du champ local, l'étude électromagnétique a été particulièrement détaillée. La réalisation de l'ensemble des enroulements de l'induit montre qu'en soignant les techniques de bobinage, les performances atteintes sont proches des caractéristiques critiques du conducteur, mesurées en échantillon court. Enfin, pour étudier le seuil de compétitivité de la solution supraconductrice et montrer concrètement ce qu'amènerait la supraconductivité dans le domaine des systèmes embarqués, nous avons prédimensionné l'ensemble du matériel électrique concernant le futur T. G. V. 400 km/h
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Frilli, Amedeo. "An Innovative Approach for the Energetic Optimisation of High-Speed Railway Systems." Doctoral thesis, 2018. http://hdl.handle.net/2158/1129834.

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Sun, Chin-Huang, and 孫志煌. "The simulation and analysis of the train movement energy-saving strategy of the high-speed rail of Taiwan." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/12954583279522664843.

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Chen, Jheng-Hong, and 陳政宏. "The High-Speed Mixing Assisted Oxidative Desulfurization Technology and its Study applied to Wasted Energy Recovery and Reuse." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/64z796.

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碩士
嘉南藥理大學
環境工程與科學系
102
ABSTRACT In this study, the regenerations of recovered waste lubricating oil, refined waste lubricating oil, and waste tire recovered pyrolysis oil were studied. The rapid mixing experiments assisted oxidative desulfurization method, combined with high shear force, the phase transfer effects (tetraoctylammonium bromide) and the transition metal catalysis (tungstophosphoric acid, hydrogen peroxide) was executed in wasted oil purification. The solid adsorbents, such as activated carbon, activated clay, activated alumina, were also examined for sulfone removed from the oil to obtain the production of low-sulfur oil, thus, it could achieve the reuse and re-production of clean energy from wasted resources. Oxidation experiments were conducted using high shear force of the time difference, a fixed oil/proportion of hydrogen peroxide, and the dosages of catalysts and surfactants. This research suggests that the oxidation of organic sulfur compounds under the tungstophosphoric acid and tetraoctylammonium bromide increased duration of action by high shear forces, where the oxidation efficiency of the organic sulfur compounds is more increased. With the same amount of oil/hydrogen peroxide (100 mL:100 mL) under different proportions of (tungstophosphoric acid: tetraoctylammonium bromide: duration of action of high shear force), the optimum oxidation parameters are as below: recovered waste lubricating oil is 0.5 g:0.5 g:20 minutes, the refined waste lubricating oil is 0.5 g:0.5 g:20 minutes, waste tire recovered pyrolysis oil is 1 g:1 g:60 minutes. Adsorption experiments using activated carbon, activated alumina, activated clay as the main adsorbents were utilized to examine the Freundish and Langmuir adsorption isotherm model. The experimental data indicated that these three adsorbents are fitted with the Langmuir isotherm model, where the R2 value could reach 0.95. Under the Freundish isotherm, it could be learned that an important parameter n values were all greater than 1. Moreover, this study also indicated that these three adsorbents illustrated good adsorption phenomenon for Sulfone removal. In the dynamic model, the various adsorbents were confirmed with the proposed second-order kinetic adsorption. Considering the temperature effect, these three adsorbents illustrated different adsorption capacity at various temperature, where the minimum adsorption capacity was confirmed at 55°C.
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"Материалы V Международной научно-практической конференции «Энергосбережение на железнодорожном транспорте и в промышленности»." Thesis, Видавництво Дніпропетровського національного університету залізничного транспорту імені академіка В. Лазаряна, 2014. http://eadnurt.diit.edu.ua/jspui/handle/123456789/3413.

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Энергосбережение на железнодорожном транспорте и в промышленности: Материалы V Международной научно-практической конференции (Воловец, 11 июня – 13 июня 2014 г.) / Министерство образования и науки Украины, Днепропетровский национальный университет железнодорожного транспорта им. академика В. Лазаряна, Восточный научный центр Транспортной академии Украины, ООО «Электротяговые системы» ; Ред. кол. С. В. Мямлин и др. — Днепропетровск: ДНУЖТ, 2014. — 180 с.
RU: В сборнике представлены материалы V Международной научно-практической конференции «ЭНЕРГОСБЕРЕЖЕНИЕ НА ЖЕЛЕЗНОДОРОЖНОМ ТРАНСПОРТЕ И В ПРОМЫШЛЕННОСТИ», которая состоялась 11 июня – 13 июня 2014 г в пгт. Воловец, Закарпатской обл. Сборник предназначен для научно-технических работников железных дорог, предприятий транспорта, научных организаций, преподавателей и ученых высших учебных заведений, аспирантов и студентов.
UK: У збірнику представлені матеріали V Міжнародної науково-практичної конференції «ЕНЕРГОЗБЕРЕЖЕННЯ НА ЗАЛІЗНИЧНОМУ ТРАНСПОРТІ І В ПРОМИСЛОВОСТІ», яка відбулася 11 червня - 13 червня 2014 р в смт. Воловець, Закарпатської обл. Збірник призначений для науково-технічних працівників залізниць, підприємств транспорту, наукових організацій, викладачів і вчених вищих навчальних закладів, аспірантів і студентів.
Министерство образования и науки Украины, Восточный научный центр Транспортной академии Украины, ООО «Электротяговые системы»
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Book chapters on the topic "High Speed train, Energy recovery"

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Frilli, Amedeo, Enrico Meli, Daniele Nocciolini, Simone Panconi, Luca Pugi, and Andrea Rindi. "Braking Energy Recovery in High Speed Trains: An Innovative Model." In Mechanisms and Machine Science, 327–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48375-7_35.

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Zhang, Xiaochun, Siyuan Mu, and Jinsong Kang. "Energy Consumption Analysis of High-Speed Maglev Train." In Lecture Notes in Electrical Engineering, 717–24. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7989-4_73.

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Li, Wei, Sizhe Zhao, Kang Li, Yi Xing, Gaofeng Liu, and Jilong Liu. "Energy-Efficient Operation Curve Optimization for High-Speed Train Based on GSO Algorithm." In Communications in Computer and Information Science, 120–32. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7210-1_12.

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Al-Habaibeh, Amin, Ampea Boateng, and Hyunjoo Lee. "Innovative Strategy for Addressing the Challenges of Monitoring Off-Shore Wind Turbines for Condition-Based Maintenance." In Springer Proceedings in Energy, 189–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_24.

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AbstractOff-shore wind energy technology is considered to be one of the most important renewable energy source in the 21st century towards reducing carbon emission and providing the electricity needed to power our cities. However, due to being installed away from the shore, ensuring availability and performing maintenance procedures could be an expensive and time consuming task. Condition Based Maintenance (CBM) could play an important role in enhancing the payback period on investment and avoiding unexpected failures that could reduce the available capacity and increase maintenance costs. Due to being at distance from the shore, it is difficult to transfer high frequency data in real time and because of this data transferring issue, only low frequency-average SCADA data (Supervisory Control And Data Acquisition) is available for condition monitoring. Another problem when monitoring wind energy is the massive variation in weather conditions (e.g. wind speed and direction), which could produce a wide range of operational alerts and warnings. This paper presents a novel case study of integrated event-based wind turbine alerts with time-based sensory data from the SCADA system to perform a condition monitoring strategy to categorise health conditions. The initial results presented in this paper, using vibration levels of the drive train, indicate that the suggested monitoring strategy could be implemented to develop an effective condition monitoring system.
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Fernandez, K., C. Xue, and H. Wang. "Image research of high-speed train seats." In Architectural, Energy and Information Engineering, 769–73. CRC Press, 2015. http://dx.doi.org/10.1201/b19197-168.

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Li, Jie, Aihong Zhu, Yuqiong Duan, and Jing Zhang. "Energy Saving Optimization of High Speed Train Based on Speed Prediction Control Curve." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200226.

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In order to study the energy-saving operation of high-speed trains, the energy consumption of trains is taken as the goal, and the speed at the transition point of the operating conditions is the optimization variable, an artificial bee colony algorithm is used to optimize the speed curve across the entire line, the purpose is to obtain the first stage optimization speed curve. On this basis, the conditions of the actual running line are fully considered, and the predictive control algorithm is used to optimize the local prediction of the speed, the purpose is to obtain the second stage optimization speed curve. The simulation results show that compared with the energy consumption in the time-saving mode, the energy consumption after the second prediction optimization is reduced by 19.29%. It is verified that the secondary speed curve obtained by the combination of the global artificial bee colony algorithm and the predictive control algorithm has better performance in energy saving effect. This paper can provide good reference value and practical significance for the energy-saving operation of other vehicles.
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Gusarov, Valentin, Leonid Yuferev, Zahid Godzhaev, and Aleksandr Parachnich. "Gas Turbine Power Plant of Low Power GTP-10S." In Advances in Environmental Engineering and Green Technologies, 85–106. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9420-8.ch004.

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Currently, there is an increase in the use of gas turbines. Today they are used in the energy sector: aviation, armed forces, and the navy. The introduction of a new manufacturing technology developed by the authors will make it possible to manufacture cheap and reliable installations and thus ensure an exceptional position on the Russian market for goods and technologies, and taking into account the use of intellectual rights, abroad. The scientific novelty of the sample is the method of calculating small engines with a centrifugal compressor, a centripetal turbine and a combustion chamber with a negative thrust vector of the air flow. It is shown that the developed microgas turbine cogeneration power generator consists of a microturbine engine with a periphery, a free power turbine necessary for the selection of mechanical power, a high-speed electric generator with permanent magnets, an electronic power conversion system, exhaust heat energy recovery system and an automatic control system.
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Conference papers on the topic "High Speed train, Energy recovery"

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Butini, Elisa, Amedeo Frilli, Enrico Meli, Daniele Nocciolini, Simone Panconi, Luca Pugi, Andrea Rindi, and Benedetta Romani. "Innovative Model for the Efficiency Optimization for High-Speed Trains through the Recovery of Braking Energy." In First International Conference on Rail Transportation 2017. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481257.024.

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Yu, J. G., and Matthew B. Ercolino. "Measurement and Analysis of Acela Express Regenerative Power Recovery." In ASME/IEEE 2007 Joint Rail Conference and Internal Combustion Engine Division Spring Technical Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/jrc/ice2007-40012.

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Amtrak launched the first high-speed Acela Express passenger train service in the USA in 2000 on the Northeast Corridor (NEC) between Washington, D.C, New York, and Boston. The NEC infrastructure is used by several other railroad/transit agencies that operate commuter train services under operating access agreements with Amtrak. With such an arrangement, all NEC passenger railroad/transit agencies contribute to the electrical demands of the traction power system on the southern division and in particular, between New York, and Washington, D.C. Amtrak and the other railroad/transit agencies conduct periodic reviews of the cost-sharing arrangements for the electricity bills. As part of a recent review, accurate data on the power usage by the Acela Express fleet was needed. The Acela Express power cars are equipped with modern traction drives with controls that are capable of recovering some or all of the regenerative braking power they produce. The use of regenerative braking is automatically controlled by the onboard Braking Control Computer via the internal propulsion and braking network. This feature makes the Acela Express trains efficient in energy consumption and affects the cost allocation to Amtrak. The extent of the energy recovery is dependent on how receptive the traction power system is when power is being regenerated from braking. In order to obtain realistic data, two separate Acela Express power cars were instrumented. A large amount of data was collected in normal service conditions from the onboard instrumentation. This paper describes the instrumentation and the data collection procedure, and presents the analysis results of the collected data. The analyses were focused on two parameters: the “energy recovery ratio” and the “system receptivity” of the traction power supply system. The study contributed to the successful conclusion of a new electrical cost-sharing arrangement among the NEC passenger railroad/transit agencies, which was made public in October 2006.
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Guo, Hu, Xiuqin Lyu, En Meng, Yang Xu, Menghao Zhang, Hongtao Fu, Yuxuan Zhang, and Kaoping Song. "CCUS in China: Challenges and Opportunities." In SPE Improved Oil Recovery Conference. SPE, 2022. http://dx.doi.org/10.2118/209468-ms.

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Abstract CO2 emission was the major cause that accounted for the global warming and climate chance. How to reduce CO2 footprint to stop or slow down the global warming has been hot topic. As a developing country, China has become the largest CO2 emission nation in the world during the industrialization process to develop economy, although the CO2 emission intensity has been reduced significantly compared to previous stage. China has promised and succeeded to keep the promise reduce carbon intensity to meet the requirement of Paris Agreement. To meet the promise to attain carbon peak emission in 2030 and carbon neutrality in 2060 (CPCN), carbon capture, utilization and storage (CCUS) is an important and necessary step. Considering the high cost, high energy intensity and complex technology integrated optimization add uncertainties of CCS, utilization of captured CO2 can be of vital importance. One of the most attractive CCUS in China is CO2 enhanced oil recovery with captured CO2 (CCS EOR). CO2 EOR with captured CO2 may be one the best CCUS ways for China for the following three reasons. First, it can meet the increasing oil demand while reducing the carbon intensive coal. Second, around 66 CO2 EOR field tests have been conducted in China and experiences have ben gained. Finally, CO2 EOR in the USA was a proven technology which can increase oil production significantly and stably. Latest CCUS technology progress in China was reviewed. As of July 2021, 49 projects were carried out or under construction. Net CO2 avoided costs from 39 projects varied from 120 to 730 CNY/ ton CO2 (18.5-112.3 USD/ ton CO2). Although CCUS technology development in China was significant, the gap between global leading levels are obvious. Current challenges of CCS EOR include high CO2 capture cost, small scale, low incremental oil recovery, long-time huge capital input. The costs can be significantly reduced when the scale was enlarged to a commercial scale and transportation costs were further reduced by either pipelines or trains. CO2 transportation with well-distributed high-speed rail in China may be a feasible choice in future. If the CO2 EOR in China develops with the same speed as the USA, CO2 used for EOR in 2050 can be as high as 87.27 million tons. CO2 used for CO2 EOR in 2050 can account for 17% to 44% of the CO2 emission. CCS EOR in China will provid both domestic and international companies with good opportunities.
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Wang, Xiaokai, Baoli Wang, Chun Li, Wenchao Chen, and Chen Zhao. "High-speed train speed estimation via one geophone near an high-speed railway." In First International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists, 2021. http://dx.doi.org/10.1190/segam2021-3594545.1.

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Amraei, Mohsen, and Majid Shahravi. "Aluminum Honeycomb Energy Absorber for High-Speed Train Nose." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82838.

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Due to the tendency to increase the velocity of high-speed trains, concerns about their probable events have increased. Since train’s frontal nose is the first part of the train which is damaged at the frontal impact, specific attention should be paid to the design of this part. In this study an effort has been conducted to design a nose with light weight which can absorb maximum amount of energy that is possible when a frontal collision occurs. To this aim and with attention to aerodynamic considerations, application of aluminum honeycomb (HC) sandwich panel as an internal layer of train nose has been studied. This paper includes two main parts. The first part is dedicated to the simulation of aluminum HC sandwich panel with both shell and solid elements under dynamic crush loads. While the frontal collision of nose with different internal layer thicknesses of HC has been simulated in the second part and an optimum thickness has been proposed based on the generated results. It has been demonstrated that for all thicknesses amount of energy absorption has been increased at least 35%. Finite element method using LS-DYNA commercial package has been used for the numerical simulation. The results have been validated with available experimental results and acceptable agreement has been observed.
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Chao, Geng, Wang Xinpei, He Kun, and Wang Qingyuan. "Optimal energy-efficient control of high speed train with speed limit constraints." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162449.

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Yang Guang. "Energy-saving operation control strategy of high-speed Maglev train." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597723.

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Brenna, M., F. Foiadelli, M. Roscia, and D. Zaninelli. "Harmonic analysis of a high speed train with interlaced four quadrant converters." In Energy Society General Meeting. IEEE, 2008. http://dx.doi.org/10.1109/pes.2008.4596049.

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Chen, Cai, Haitao Hu, Ke Wang, and Zhengyou He. "Energy Consumption Analysis of High-Speed Train Based on Traction Calculation." In First International Conference on Rail Transportation 2017. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481257.063.

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Qi, Tianhao, and Meng Mei. "Analysis on Energy Efficiency and Rapidity of High-speed Train Operation." In IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544109.3544327.

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Reports on the topic "High Speed train, Energy recovery"

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Bahman Habibzadeh. Very High Fuel Economy, Heavy Duty, Constant Speed, Truck Engine Optimized Via Unique Energy Recovery Turbines and Facilitated High Efficiency Continuously Variable Drivetrain. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/992845.

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Aguiar, Brandon, Paul Bianco, and Arvind Agarwal. Using High-Speed Imaging and Machine Learning to Capture Ultrasonic Treatment Cavitation Area at Different Amplitudes. Florida International University, October 2021. http://dx.doi.org/10.25148/mmeurs.009773.

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The ultrasonic treatment process strengthens metals by increasing nucleation and decreasing grain size in an energy efficient way, without having to add anything to the material. The goal of this research endeavor was to use machine learning to automatically measure cavitation area in the Ultrasonic Treatment process to understand how amplitude influences cavitation area. For this experiment, a probe was placed into a container filled with turpentine because it has a similar viscosity to liquid aluminum. The probe gyrates up and down tens of micrometers at a frequency of 20 kHz, which causes cavitations to form in the turpentine. Each experimental trial ran for 5 seconds. We took footage on a high-speed camera running the UST probe from 20% to 35% amplitude in increments of 1%. Our research examined how the amplitude of the probe changed the cavitation area per unit time. It was vital to get a great contrast between the cavitations and the turpentine so that we could train a machine learning model to measure the cavitation area in a software called Dragonfly. We observed that as amplitude increased, average cavitation area also increased. Plotting cavitation area versus time shows that the cavitation area for a given amplitude increases and decreases in a wave-like pattern as time passes.
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