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2020 International Conference on Power, Energy and Innovations (ICPEI)最新文献

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The Automatic Temperature Control for Agricultural Plant House 农业厂房温度自动控制
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431413
Somyot Seesansui, Tharathip Phurahong, J. Sarasook
Paper presents automatic temperature control for plant house. Water evaporation technique is applied. The system has to water the plant and control temperature in range of 24-30 °C. Arduino Uno R3 was used as microcontroller. Temperature and humidity were detected by DHT sensors module. The four relays were used for controlling system. LCD screen showed condition of environment. Two pumps were used for watering plants and cooling pads. Cooling pads were use in cooling system applying water evaporation technique. A fan was installed on the top of house plant. For the construction of plant house, structure made of PVC tube. The house was covered by PVC canvas. Light can pass throughout. For watering system, ¼ inch tube was installed to water the plant. From experimental results show that the automatic system can be controlled temperature in the range of 24-28 °C. The relative humidity in house is approximately 75-90% while outside house is about 45-75%. Finally, the rate of growing in plant house by temperature control is higher about 30% than natural condition.
本文介绍了厂房温度的自动控制。采用水蒸发技术。该系统必须给植物浇水,并将温度控制在24-30°C的范围内。单片机采用Arduino Uno R3。温度和湿度由DHT传感器模块检测。四个继电器用于控制系统。液晶屏显示环境状况。两台水泵用于浇花和冷却垫。采用水蒸发技术在冷却系统中使用冷却垫。在室内植物的顶部安装了一台风扇。用于厂房建筑,结构采用PVC管。房子被聚氯乙烯帆布覆盖着。光可以穿透。对于浇水系统,安装了1 / 4英寸的管子来给植物浇水。实验结果表明,该自动系统可将温度控制在24-28℃范围内。室内相对湿度约为75-90%,室外约为45-75%。最后,通过温度控制,植物室内的生长速率比自然条件下高30%左右。
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引用次数: 0
Reviews Existing Technologies and Proposes ‘E8-PowerBuoys' Nano-Scale Generator Of Tidal And Wave Energy For River And Ocean 回顾了现有技术,提出了“e8 - powerbuoy”纳米级河流和海洋潮汐和波浪能发生器
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431402
P. Suwanapingkarl, K. Srivallop
The installing and generating capacity of sustainable energy dramatically increasing since 2009. It can be noted that none a single sustainable energy technology will be able to achieve the carbon reduction independently. The simultaneously developed of many sustainable energies still needed. The recent growth in sustainable energy, especially tidal and wave energy is shown that the nano-scale generators for the river and ocean are still required. This is due to the most country in the world have the river and the ocean covers approximately 70 % of the surface of the earth. In practice, the tidal energy is the interaction between the gravity of the sun, earth, and moon, and hence it results the rise and fall of the tides. Whereas, the wave energy is the water movement due to the frictional drag of wind over the water surface. Despite these advantages, tidal and wave energy continued to face challenges in achieving a high efficiency output to generate the electricity, Moreover, some standards and regulations of grid connected are needed to revise in order to ensure its operations and safety. These allow small-scale distributed generator such sustainable energy resources to cooperate with the exiting power network. Therefore, the paper reviews and proposes the nano-scale generator of tidal and wave energy for river and ocean. The proposed generator can support at the riverbank, in the middle of river, bays, shoreline, coastal estuaries, and in the middle of ocean. The generator should be easy to install and maintenance, while the chosen material structure of generator has the corrosion resistance of the saline water. The generator must follow the standards and regulations in order to ensure its safety.
自2009年以来,可持续能源的安装和发电能力急剧增加。值得注意的是,没有任何一种可持续能源技术能够独立实现碳减排。同时开发许多可持续能源仍然是必要的。最近可持续能源,特别是潮汐能和波浪能的增长表明,河流和海洋仍然需要纳米级发电机。这是因为世界上大多数国家都有河流,海洋覆盖了地球表面的大约70%。实际上,潮汐能是太阳、地球和月球引力之间的相互作用,因此它导致了潮汐的涨落。而波浪能是由于风在水面上的摩擦阻力引起的水的运动。尽管有这些优势,潮汐能和波浪能在实现高效输出发电方面仍然面临挑战,并且需要修改一些并网标准和法规,以确保其运行和安全。这些都允许小型分布式发电机这样的可持续能源与现有电网合作。因此,本文综述并提出了纳米尺度的河海潮汐波浪能发生器。该发电机可支持河岸、河中、海湾、海岸线、沿海河口和海洋中央。发电机应易于安装和维护,同时所选发电机的材料结构具有耐盐水的腐蚀性。发电机必须遵守标准和规定,以确保其安全。
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引用次数: 0
Aerodynamic Brake Study of Reducing Braking Distance and Decreasing Using The Energy of Braking of High-Speed Trains 减小高速列车制动距离和减少制动能量利用的气动制动研究
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431422
Phatthara Surachon, T. Ratniyomchai, T. Kulworawanichpong
This article presents a novel research on aerodynamic brake by reducing brake distance and braking energy of the high-speed trains (HST), which is inspirational from the aerodynamic brake on a commercial aircraft’s wings. In emergency case, both brake distance and braking time of HST will be longer than normal situation, therefore, safety for passengers and management about controlling the driving of HST are very important. The aerodynamic brake effected on the dynamic motion of trains during braking are analyzed and considered as the aircraft’s flaps that is applied in HST. The area of aerodynamic brake functions as the additional drag force during braking. The HST with the speed from 200 km/h to 350 km/h is a case study of this article. As the results, it is found that the braking time and brake distance can be reduced in comparison with the system without aerodynamic brake. The braking distance is reduced by 394 m or 0.13% when the area of aerodynamic brake increases to 100%. However, when aerodynamic brake is used in real situation, it should be chosen the area of aerodynamic brake that is suitable to the dimension of train body, and it should not block electricity cable, energy resource in the train, tunnel and so on. Moreover, it can reduce the energy of braking, and energy saving is reduced by 3.23 kWh or 0.692%, therefore, the mechanical brake and its maintenance have efficient advantages by extending its service life.
本文从商用飞机机翼气动制动的研究中得到启发,提出了一种通过减小高速列车制动距离和制动能量来实现高速列车气动制动的新方法。在紧急情况下,高速公路的制动距离和制动时间都会比正常情况下更长,因此对乘客的安全以及控制高速公路行驶的管理是非常重要的。分析了气动制动对列车在制动过程中动态运动的影响,并将其视为高速列车中应用的飞机襟翼。气动制动面积作为制动过程中的附加阻力。从200公里/小时到350公里/小时的高速公路是本文的一个案例研究。结果表明,与无气动制动系统相比,制动时间和制动距离均有所缩短。当气动制动面积增加到100%时,制动距离缩短了394 m,缩短了0.13%。但在实际应用中,应选择与车体尺寸相适应的气动制动区域,且不应堵塞列车内的电缆、能源、隧道等。并且可以减少制动能量,节能减少3.23 kWh或0.692%,因此,机械制动器及其维护通过延长其使用寿命而具有高效的优势。
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引用次数: 0
Impact of Different Roof Types on Produced Power of Photovoltaic Rooftop System 不同屋顶类型对光伏屋顶系统发电量的影响
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431563
Nattapan Thanomsat, Surachat Lekngam
The installation characteristics of PV systems are different in each area, some area uses a free standing PV panels on the ground, some area uses PV system on the roof that including the type of roof and the distance between the roof and the PV panels in the installation. A temperature of PV panels on the roof can rise substantially in comparison with that of free standing PV panels on the ground. That means, produced power of PV system on the roof may be reduced substantially. An aim of this experiment was to study comparison the produced power of PV panels with an install capacities 600 watts on the roof, between the metal sheet roof and fiber cement roof. The experimental results of the measurement of PV panels on the different roof types have verified and comparison power by simulation in PSCAD. The PV system on the fiber cement roof can produce power better than The PV system on the metal sheet roof because the fiber cement roof can reflect heat wave better than the metal sheet roof.
光伏系统的安装特点在每个区域都是不同的,有些区域在地面上使用独立式光伏板,有些区域在屋顶上使用光伏系统,包括屋顶的类型以及安装时屋顶与光伏板之间的距离。与地面上的独立式光伏板相比,屋顶光伏板的温度会大幅上升。这意味着,屋顶光伏系统的发电量可能会大幅降低。本实验的目的是比较安装容量为600瓦的光伏板在金属板屋顶和纤维水泥屋顶上产生的功率。在PSCAD中对不同屋顶类型光伏板的测量结果进行了验证,并通过仿真进行了功率比较。纤维水泥屋顶光伏系统比金属板屋顶光伏系统发电效果好,这是因为纤维水泥屋顶比金属板屋顶能更好地反射热浪。
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引用次数: 1
PMSM Torque Estimation Based on Machine Learning Techniques 基于机器学习技术的永磁同步电机转矩估计
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431433
Wannadear Nawae, K. Thongpull
Permanent Magnet Synchronous Motors (PMSM) are commonly used in robotic arms for light load applications such as industrial medical, and home service. These robotic applications are required an ability to aware their operating conditions due to safety reasons as they are likely to be operated close to humans. One of the major parameters to examine the situations is rotor torque which conventionally acquired by a torque transducer. However, using such device requires extra cost, bulky mechanical installation, and data acquisition electronics. Due to this trade-off, we propose a machine learning based method for rotor torque estimation. The information used in the estimation process are solely electrical signals generated by the motor itself without any actual sensor required. In this paper we present an investigation and feasibility study of the proposed sensorless torque estimation. A motor test bench has been developed for observing motor characteristics also for collecting information to create torque prediction models. Numerous statistical based machine learning methods have been applied in this work including Neural Networks regression, Linear regression, and Stepwise regression. The proposed system has been used to created prediction models according to the occupied regression methods. The estimation performance has been considered by comparing the estimated results with ground truths from an actual torque sensor. The estimation model based on Neural network regression has achieved highest accuracy at 0.11 of RMSE and 0.996 of R value. The results shown the potential of applying the proposed senseless torque estimation for robot application with acceptable performance.
永磁同步电机(PMSM)通常用于机械臂轻负荷应用,如工业医疗和家庭服务。由于这些机器人很可能在靠近人类的地方操作,因此出于安全原因,这些机器人应用需要能够意识到它们的操作条件。检查情况的主要参数之一是转子转矩,该转矩通常由转矩传感器获得。然而,使用这种设备需要额外的成本、庞大的机械安装和数据采集电子设备。由于这种权衡,我们提出了一种基于机器学习的转子转矩估计方法。在估计过程中使用的信息完全是电机本身产生的电信号,而不需要任何实际的传感器。在本文中,我们对所提出的无传感器转矩估计进行了调查和可行性研究。开发了电机试验台,用于观察电机特性并收集信息以建立转矩预测模型。许多基于统计的机器学习方法已经应用于这项工作,包括神经网络回归,线性回归和逐步回归。该系统已用于根据占位回归方法建立预测模型。通过将估计结果与实际扭矩传感器的真实情况进行比较,考虑了估计性能。基于神经网络回归的估计模型在RMSE为0.11,R值为0.996时获得了最高的精度。结果表明,将所提出的无意义力矩估计应用于具有可接受性能的机器人应用具有潜力。
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引用次数: 6
Case Study on Power Transformer using Dissolved Gas Analysis Technique 电力变压器溶解气体分析技术实例研究
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431480
N. Chattranont, S. Woothipatanapan, N. Rugthaicharoencheep
This paper discusses Dissolved Gas Analysis (DGA) in transformer oil from two 69/24 kV 24/32 MVA installed in urban areas. By detecting unusual increasing gas, then transformer oil samples were collected frequently according to Standards. First transformer was failed by inside short circuit. All loads were transfer to second transformer. The risk of failure on last transformer is very high. Standards used for DGA interpretation is IEEE C57.104. Evaluation of fault type used Key gas method, Doernenburg ratio, Rogers ratio and Duval Triangle.
本文讨论了城市安装的两台69/ 24kv 24/ 32mva变压器油中的溶解气体分析。通过检测异常升高气体,按标准频繁采集变压器油样品。第一个变压器因内部短路而失效。所有负载都被转移到第二台变压器。最后一台变压器发生故障的风险非常高。用于DGA解释的标准是IEEE C57.104。断层类型评价采用了Key气相法、Doernenburg比、Rogers比和Duval三角法。
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引用次数: 1
Energy, Economic, and Environmental (3E) Analysis of Zero Energy Consumption Building: A Case Study of Thai Style Mediation House 零能耗建筑的能源、经济、环境(3E)分析——以泰式调解屋为例
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431515
Nidchabendha Chandanachulaka Roekrai, W. Khan-ngern
This paper presents Energy, Economic, and Environmental (3E) analysis of Zero Energy Consumption Building (ZECB) concept. A case study of Thai mediation house which constructed following ZECB concept is provided. The conditions of this off-grid PV house are daily load demand is approximately 4.605 kWh and this house must be able to use the energy for 2 days without the sunlight. Each parameter in 3E analysis is used to evaluate the possibility of ZECB.
本文提出了零能耗建筑(ZECB)概念的能源、经济和环境(3E)分析。本文以遵循ZECB概念建造的泰国调解屋为例进行了研究。该离网光伏住宅的条件是每日负荷需求约为4.605千瓦时,该住宅必须能够在没有阳光的情况下使用2天的能源。3E分析中的每个参数用来评价ZECB的可能性。
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引用次数: 1
Gravitational energy storage by using concrete stacks 利用混凝土堆储存重力能量
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431488
Aunsit Punsirichaiyakul, T. Ratniyomchai, T. Kulworawanichpong
This article purposes to study theories of gravitational potential energy as an energy storage system by lifting the weight of concrete stacks up to the top as stored energy and dropping the concrete stacks down to the ground to discharge energy back to the electrical power system. This article is the analysis and trial plan to create an energy storage systems model with the vertical concrete stacks to form a suitable configuration. The gravitational energy storage system is an energy transformation between the gravitational potential energy and the kinetic energy of the concrete stacks moving down to the electrical energy via a generator. A comparative efficiency study of the charging and discharging energy system during lifting and dropping concrete stacks are also presented. The case study is based on the feasible square prism concrete stacks in vertical shape with a weight of 100 tonnes per stack. The height of the system is about 50 m. As the result, the power system obtains the energy from the gravitational energy storage as a discharging mode by 9.68 kWh, however, supplies the energy to the gravitational energy storage as a charging mode about 12.10 kWh with the overall efficiency of 80%. The finding in this study, the discharging mode of the gravitational energy storage is suitable to use in the power system to support the high demand during the on-peak time or the duration of the high cost of electricity whereas the charging mode is possibly used in the duration of off-peak time with low cost of electricity or supported by the renewable energy sources around.
本文旨在研究重力势能作为储能系统的理论,通过将混凝土堆垛的重量提升到顶部作为储能,并将混凝土堆垛下降到地面,将能量释放回电力系统。本文是通过分析和试验计划来创建一个与垂直混凝土栈形成合适配置的储能系统模型。重力蓄能系统是将混凝土堆垛的重力势能和动能通过发电机向下移动转化为电能的能量转换。并对混凝土堆垛升降过程中的充、卸能量系统进行了效率比较研究。案例研究是基于可行的垂直形状的方形棱柱混凝土堆,每堆重量为100吨。系统高度约50米。结果表明,电力系统以放电方式从重力储能获得的能量为9.68 kWh,而以充电方式向重力储能提供的能量约为12.10 kWh,总效率为80%。本研究发现,重力储能的放电模式适合在电力系统中用于支持高峰时段的高需求或高成本的电力,而充电模式则可能用于电力系统中低成本的非高峰时段或周围可再生能源的支持。
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引用次数: 1
A Double Layer Frequency Selective Surface using Interdigital Split Ring Resonators and Applications 数字间分裂环谐振器的双层频率选择表面及其应用
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431494
T. Archevapanich, P. Chomtong, P. Akkaraekthalin
This paper proposes a split ring resonator unit cell using interdigital structure. The size can be reduced from λ/2 to about λ/4 caused by the slow wave effect. An array of 14×14 unit cells can be formed to act as a frequency selective surface (FSS). The proposed FSS is designed at frequency of 1.8 GHz, which the length of unit cell is 11.48 mm and the length of FSS is 172.50 mm. Using double layer FSS, the effect of coupling between layers will result in a larger bandwidth from 1.8 GHz to 2.45 GHz. The simulation results when applying a dipole antenna over the double layer FSS show that the high antenna gains of 8.34 dB and 9.75 dB are obtained at 1.8 GHz to 2.45 GHz, respectively. The proposed double layer FSS with a dipole can be applied for modern communication systems including LTE and WLAN.
本文提出了一种采用数字间结构的分环谐振单元。由于慢波效应,尺寸可由λ/2减小到λ/4左右。可以形成一个14×14单元阵列作为频率选择表面(FSS)。设计的FSS工作频率为1.8 GHz,单元格长度为11.48 mm, FSS长度为172.50 mm。采用双层FSS,层间耦合效应将使带宽从1.8 GHz提高到2.45 GHz。在双层FSS上应用偶极子天线的仿真结果表明,在1.8 GHz ~ 2.45 GHz频段,天线增益分别达到8.34 dB和9.75 dB。所提出的双偶极子FSS可以应用于LTE和WLAN等现代通信系统。
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引用次数: 0
Intelligent Machine Learning Techniques for Condition Assessment of Power Transformers 电力变压器状态评估的智能机器学习技术
Pub Date : 2020-10-14 DOI: 10.1109/ICPEI49860.2020.9431460
Kunanya Leauprasert, T. Suwanasri, C. Suwanasri, N. Poonnoy
This paper introduces a condition assessment of power transformer in term of percentage of health index (%HI) by using regression models. The conditions of major components of power transformer are assessed by using input datasets from visual inspection, electrical test as well as paper and oil insulation test. 90 features of these input datasets are tested in regression models for determining the predicted HI. Six regression models such as linear regression, Ridge regression and Lasso regression, random forest regression, support vector regression, and deep neural network regression are tested to predict %HI. Actual input datasets related to actual %HI of 317 power transformers are used to teach such learning regression models. The random forest regression performs the best model providing the best output dataset with the lowest errors.
介绍了用回归模型对电力变压器健康指数百分比(%HI)进行状态评估的方法。采用目测、电气试验、纸绝缘和油绝缘试验等输入数据,对电力变压器主要部件的状态进行了评定。这些输入数据集的90个特征在回归模型中进行测试,以确定预测的HI。测试了线性回归、Ridge回归和Lasso回归、随机森林回归、支持向量回归和深度神经网络回归等六种回归模型对%HI的预测。使用与317个电力变压器的实际%HI相关的实际输入数据集来教授这种学习回归模型。随机森林回归执行最好的模型,提供最好的输出数据集和最低的误差。
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引用次数: 5
期刊
2020 International Conference on Power, Energy and Innovations (ICPEI)
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