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2019 International Energy and Sustainability Conference (IESC)最新文献

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Optimized Spin Coating Rate for TiO2 Layer in Perovskite Solar Cell 钙钛矿太阳能电池中TiO2自旋涂覆速率的优化
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976812
N. R. Poespawati, J. Sulistianto, T. Abuzairi, R. P
Perovskite gained its popularity and intensively studied due to its excellent characteristics for the active layer in a solar cell. One component in perovskite solar cells is an electron transport layer. TiO2 is one of the materials that can be used as an electron transport layer and have excellent properties such as good stability and higher performance compared to another inorganic electron transport layer. In this work, we investigated the performance of perovskite solar cells by varying the spin coating rate when fabricating the TiO2 layer. Various spin coating rate was performed in this work ranging from 1000 rpm to 4000 rpm. The best performing devices are when the spin coating rate of the TiO2 layer was set to 3000 rpm.
钙钛矿因其作为太阳能电池活性层的优良特性而受到广泛的关注和广泛的研究。钙钛矿太阳能电池的一个组成部分是电子传输层。TiO2是可以用作电子传输层的材料之一,与另一种无机电子传输层相比,它具有良好的稳定性和更高的性能。在这项工作中,我们通过改变制备TiO2层时的自旋涂覆速率来研究钙钛矿太阳能电池的性能。在1000转/分到4000转/分的范围内进行了不同的旋转涂覆。当TiO2层的自旋包覆速率为3000 rpm时,器件性能最佳。
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引用次数: 0
Study to Predict In-situ Thermal Properties of Subsurface Soils and Rock 地下岩土热物性的原位预测研究
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976784
Qianyu Shao, Muthu Arigovindan
In order to further expand the geothermal industry, it is important to evaluate and clarify design and installation methodologies constantly. The soaring prices of oil and electricity have pushed the market to develop more energy efficient systems. For instance, as per Department of Energy Ground Source Heat Pump has ability to reduce the energy consumption from 30% to 60% over its counterparts. In 2017, the geothermal heat pump market was valued at 70.61 billion USD, by the year 2024 it is predicted that the market value will reach 187.72 billion USD. Such rapid growth in the coming years demands more specific data and to move away from current generalized designs. Through the study of published work and virtual sources, it was observed that there was little comprehensive analysis regarding the specific heat of soil and rock. Using prior knowledge of USCS soil classification, our engineers intend to gather distinct specific heat values for identified samples. The collection of thermal properties of individual components such as; soil, grout, HDPE pipe, and distilled water, will aid in developing a theoretical thermal resistance model in accordance to a practical geothermal system underground pipe structure. Tests will be set up to investigate the relationship between soil properties such as moisture and specific heat. Once specific heat values Cp (J/(kg· K)) (BTU/ft· °F) are drawn, conclusions may be developed with regard to critical variables such as thermal conductivity (W /(m· K)/(BTU/(h ·ft·°F)), diffusivity (ft2/s), and specific heat resistivity «K/W)/(h. ft· °F /BTU)); which directly impact the geothermal thermal heat pump design. More accurate data will enhance the coefficient of performance. The research will serve to aid field work as a reliable resource for determination of soil specific heat values, as well as optimize the geothermal system heat exchange behavior as a whole. In short, with increased accuracy of thermal properties, design can then move away from generalized products to more efficient and predictable models. Accurate data will not only optimize geothermal design but reduce test and installation cost, which is helpful to market geothermal for residential and commercial buildings. Ultimately, the increased use of geothermal systems would result in less CO2 emissions and henceforth cleaner air.
为了进一步发展地热产业,必须不断评估和明确设计和安装方法。石油和电力价格的飙升促使市场开发更节能的系统。例如,根据能源部的说法,地源热泵能够比同类产品减少30%到60%的能源消耗。2017年,地源热泵市场价值为706.1亿美元,预计到2024年市场价值将达到1877.2亿美元。未来几年的快速增长需要更具体的数据,并摆脱目前的通用设计。通过对已发表的著作和虚拟资料的研究发现,对土壤和岩石比热的综合分析很少。利用USCS土壤分类的先验知识,我们的工程师打算为已识别的样品收集不同的比热值。单个组件的热性能的集合,如;土、浆液、HDPE管和蒸馏水,将有助于根据实际地热系统地下管道结构建立理论热阻模型。将进行试验,以调查土壤性质(如湿度和比热)之间的关系。一旦比热值Cp (J/(kg·K)) (BTU/ft·°F)得到,就可以得出关于热导率(W /(m·K)/(BTU/(h·ft·°F))、扩散率(ft2/s)和比热电阻率«K/W)/(h)等关键变量的结论。ft·°F /BTU));这直接影响了地热热泵的设计。更准确的数据将提高性能系数。该研究将作为确定土壤比热值的可靠资源,帮助实地工作,并优化地热系统的整体热交换行为。简而言之,随着热性能准确性的提高,设计可以从通用产品转向更有效和可预测的模型。准确的数据不仅可以优化地热设计,还可以降低测试和安装成本,有助于住宅和商业建筑的地热市场推广。最终,增加地热系统的使用将减少二氧化碳的排放,从而使空气更清洁。
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引用次数: 0
Ogrodut: GSM based Gas Leakage Detection and Ventilation System using Arduino and Servo Motor 产品:基于GSM的气体泄漏检测通风系统,采用Arduino和伺服电机
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976710
A. Samiha, F. H. Sarker, Roza Naser Khan Chowdhury, A. Habib, Rummana Rahman
With the world moving towards modernized technologies, use of carbon fuels, such as Liquefied Petroleum Gas (LPG) is in reach within users; domestically and industrially. Even in some developing countries, such as countries within the South East Asian belt, natural gas is supplied at a fixed rate with unrestrained amount for usage. With that being said, this increases the probability of wastage; and hence from this kind of wastage of this invisible and odorless gas, comes the chance of accidents. LPG and natural gas is highly combustible and can burn even at some distance from the source of outflow. Most flame related mishaps occur due to the spillage of gas. The project in this paper aims to help LPG user by notifying on any unnoticed gas emission or leakage accident through alarming them as well as creating opportunities for them to take critical and immediate actions; so that the damages to loves and wealth can be avoided or minimized. The proposed gas leakage detection system will detect gas within a certain area using a MQ2 sensor and any moment a gas leakage due to a vital mistake or pipe crack is sensed, it will immediately turn on a ventilation system for the leaked gas to pass out. The system includes a GSM module, which makes the user or owner of the place observant by sending a text message on their phones. In addition to that, in order to maximize the range of the people notified, a buzzer and LCD module is employed so that the residents next door can also be made aware of this mishap.
随着世界走向现代化技术,用户可以使用诸如液化石油气等碳燃料;国内和工业。甚至在一些发展中国家,例如东南亚地带内的国家,天然气也是按固定费率供应的,使用量不受限制。话虽如此,这增加了浪费的可能性;因此,这种看不见、闻不到的气体的浪费,就有可能发生事故。液化石油气和天然气是高度可燃的,即使在离流出源一段距离的地方也会燃烧。大多数与火焰有关的事故都是由于气体的泄漏而发生的。文件中的计划旨在帮助石油气使用者,向他们发出警报,通知任何未被察觉的气体排放或泄漏事故,并为他们创造机会,立即采取紧急行动;这样就可以避免或尽量减少对爱情和财富的损害。提出的气体泄漏检测系统将使用MQ2传感器检测一定区域内的气体,一旦检测到由于重大错误或管道裂缝导致的气体泄漏,它就会立即打开通风系统,使泄漏的气体排出。该系统包括一个GSM模块,通过在手机上发送短信,用户或场所所有者就可以随时观察。除此之外,为了最大限度地扩大通知范围,使用了蜂鸣器和LCD模块,以便隔壁的居民也可以了解这一事故。
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引用次数: 5
Current and future trends in photovoltaic technology 光伏技术的当前和未来趋势
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976871
U. Blieske, J. Müller-Ost, Kira Meisenzahl, Eva-Maria Grommes, R. Gecke, Niklas Schneble, Lionel Clasing, Marja Eisheuer, M. Volk
The work presented analyzes the current technology trends in solar cell research and photovoltaic (PV) industry. All presented trends like passivated emitter rear contact (PERC) Integrated back contact (IBC) and silicon heterojunction (SHJ) technology currently lead to higher solar module efficiencies in mass production with current values around 20% under standard testing conditions (STC). A promising trend is the current development of perovskite solar cells which, according to the study presented, will lead to solar modules with 30% conversion efficiency in mass production in about 10 years from now. The paper also analyzes additional trends in PV technology like bifacial modules or PV roof tiles. Latter products also need to be analyzed under oblique light conditions. Incidence angle modifier (IAM) measurements of several optically uncoupled solar glasses are presented.
本文分析了当前太阳能电池研究和光伏(PV)产业的技术趋势。目前,集成式背接触(IBC)和硅异质结(SHJ)技术在大规模生产中提高了太阳能组件的效率,在标准测试条件下(STC)的电流值约为20%。目前钙钛矿太阳能电池的发展是一个很有希望的趋势,根据这项研究,从现在开始的大约10年内,钙钛矿太阳能电池将导致转换效率达到30%的太阳能组件大规模生产。本文还分析了光伏技术的其他趋势,如双面模块或光伏屋顶瓦。后期产品也需要在斜光条件下进行分析。介绍了几种非耦合太阳玻璃入射角修正量的测量方法。
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引用次数: 0
Monitoring and Analysis of Wind Turbine Condition based on Multivariate Immunity Perception 基于多元免疫感知的风力发电机组状态监测与分析
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976635
Zhengnan Hou, Shengxian Zhuang, Xiaoxiao Lv
Health monitoring of wind turbine (WT) has gained considerable attention, and the supervisory control and data acquisition (SCADA) data (such as power, temperature, and pressure, etc.) have been analyzed. However, many parameters in SCADA data are inertia parameters, which are easily affected by their inherent inertia. To solve this problem, a health monitoring method for WT based on multivariate immunity perception (MIP) is proposed in this paper. This method uses the immunity perception to obtain the health information of a single parameter and the analytic hierarchy process (AHP) to construct the immunity system. The weights of the immunity system are determined by fault statistics of a wind farm. The health condition of the subsystem/whole machine is quantified by combining the single parameter health information and immunity system. Two numerical examples are given to validate the method proposed in this paper.
风力发电机组的健康监测受到了广泛的关注,对其监测控制和数据采集(SCADA)数据(如功率、温度、压力等)进行了分析。然而,SCADA数据中的许多参数都是惯性参数,容易受到其固有惯性的影响。为了解决这一问题,本文提出了一种基于多变量免疫感知(MIP)的小波变换健康监测方法。该方法利用免疫感知获取单个参数的健康信息,利用层次分析法(AHP)构建免疫系统。利用风电场的故障统计量确定免疫系统的权重。将单参数健康信息与免疫系统相结合,量化子系统/整机的健康状况。最后给出了两个数值算例,验证了本文方法的有效性。
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引用次数: 2
Electric Transmission System Fault Identification Using Artificial Neural Networks 基于人工神经网络的输电系统故障识别
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976704
C. Asbery, Y. Liao
Electric transmission systems are complex mesh networks that direct large amounts of energy from the point of generation to the point of consumption. Electric faults can cripple a system as power flows must be directed around the fault therefore leading to numerous potential issues such as overloading, customer service interruptions, or cascading failures. Therefore, identifying the classification and location of these faults as quickly and efficiently as possible is crucial. This work aims to utilize artificial neural networks to determine fault type and location based on measured voltages and currents. Eventually, once developed, this solution could be utilized for fault detection and classification on several transmission circuit topologies as well as with different fault types and resistances.
电力传输系统是复杂的网状网络,它将大量的能量从发电点直接输送到消费点。电力故障可以使系统瘫痪,因为电流必须围绕故障进行引导,从而导致许多潜在的问题,如过载、客户服务中断或级联故障。因此,尽可能快速有效地识别这些故障的分类和定位至关重要。这项工作旨在利用人工神经网络根据测量的电压和电流来确定故障类型和位置。最终,一旦开发成功,该解决方案可用于多种传输电路拓扑以及不同故障类型和电阻的故障检测和分类。
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引用次数: 3
Traveling Wave Based Method for Protecting Power Distribution Systems with Distributed Generations 基于行波的分布式配电系统保护方法
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976606
Wen Fan, Y. Liao
Active distribution systems with high penetration of inverter based distributed generations such as solar generation have characteristics of varied fundamental frequency fault current contributions and lack of zero and negative sequence fault currents. Therefore, existing protection methods based on increase of short circuit currents due to faults may not work well. On the other hand, faults usually generate high frequency transients which are affected little by the output of solar generations. So, harnessing the fault generated high frequency transients may be a promising way to design new, effective protection scheme for inverter based generation dominated distribution systems. This paper presents a novel graph theory and traveling wave based method for protecting power distribution systems. Methods for accurate pinpointing of the fault through use of multiple and single recording of traveling waves are described. Different factors including sampling rates, number of recordings, system configurations, etc., which may affect the performance of the methods, are discussed. Evaluation studies based on simulation are reported.
太阳能发电等基于逆变器的分布式电源普及率高的主动配电系统具有基频故障电流贡献变化大、零序和负序故障电流不足的特点。因此,现有的基于故障引起的短路电流增加的保护方法可能不能很好地发挥作用。另一方面,故障通常产生高频瞬变,受太阳能发电输出的影响很小。因此,利用故障产生的高频暂态可能是设计新的、有效的逆变电源占主导地位的配电系统保护方案的一条有前途的途径。提出了一种基于图论和行波的配电系统保护新方法。描述了通过多次和单次记录行波来精确定位故障的方法。讨论了可能影响方法性能的不同因素,包括采样率、记录次数、系统配置等。报告了基于模拟的评价研究。
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引用次数: 2
Influence of Photovoltaic Installations on Employability and Education in Senegal 光伏装置对塞内加尔就业能力和教育的影响
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976695
Eva-Maria Grommes, U. Blieske, Stefanie Könen-Sagui
In this study, the link between Photovoltaic (PV) installations on employment and education opportunities, in Senegal, is analysed. The Sustainable Livelihood Approach is used to understand the examined situation, holistically. Investments in PV have been shown to have an influence on the economic growth and the labour market. The effect of the solar park Senergy 2, for example, is estimated to have provided 1434 job opportunities per MW capacity. Access to a reliable, clean energy source, influences the education sector and has been shown to bring an indirect economic benefit, by access to knowledge for rural communities.
在这项研究中,分析了塞内加尔光伏装置与就业和教育机会之间的联系。可持续生计方法用于从整体上理解所审查的情况。光伏投资已被证明对经济增长和劳动力市场有影响。例如,据估计,太阳能园区“能源2号”每兆瓦容量可提供1434个就业机会。获得可靠、清洁的能源对教育部门产生影响,并已被证明通过获得农村社区的知识而带来间接的经济利益。
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引用次数: 1
Methodology for the implementation of photovoltaic energy in a microgrid 微电网中光伏能源的实施方法
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976566
F. D. Chaves, Maria Fernanda Díaz Velez, S. Orozco
this work presents a methodology for the implementation of a photovoltaic energy system in a micro-grid minimizing possible errors during the process. Our methodology allows the inclusion of clean energies at the university campus using the minimum amount of time. This work illustrates the advantages of implementing a photovoltaic systems in a microgrid, such as electricity bills reduction or reduction of pollutant emissions. The proposed methodology has allowed the inclusion of renewable energy in a satisfactory way, overcoming the challenges that currently arise in a developing country.
这项工作提出了一种在微电网中实现光伏能源系统的方法,在此过程中尽量减少可能的错误。我们的方法允许在最短的时间内将清洁能源纳入大学校园。这项工作说明了在微电网中实施光伏系统的优点,例如减少电费或减少污染物排放。拟议的方法以令人满意的方式纳入了可再生能源,克服了目前在发展中国家出现的挑战。
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引用次数: 0
Foundational Challenges and Opportunities with Turning Data into Information for Grid Modernization 网格现代化中数据转化为信息的基础挑战与机遇
Pub Date : 2019-10-01 DOI: 10.1109/IESC47067.2019.8976771
Carina E. Kaainoa, Sandra Jenkins
The electricity sector is going through an unprecedented change in structure. With the growth of distributed generation and prosumers (customers who both produce and consume power), typical assumptions for how load behaves are no longer suitable for transmission system owners and operators. This change drastically increases the value of high fidelity and timely operational data and load data for the energy sector and its partners. These data, if paired with proper analysis techniques, have the potential of lowering total energy consumption, reducing system costs, and improving reliability and resilience. The extraction of information via analytics, and the optimization of data to drive decision and control processes, is necessary to realize the potential benefits of raw data. This information could be useful to energy sector stakeholders who develop technologies and services for consumers and utilities.11TechNet, SunSpec Alliance, and DBL Partners. “Unlocking Grid Data”. December 2016. While sensors and observations from line workers generate data across the electricity system, there is variation in data-generating technology deployment across regions because each utility may have different priorities, and therefore have different needs for analytics. With proper collection strategies and tools, the data collected can be efficiently and effectively used for big data analysis. In addition, transparent and clearly articulated rules and regulations for data privacy and security can foster legal certainty and remove barriers for third parties seeking to use that data to provide innovative end use services.22U.S. Department of Energy (DOE). “Data Access and Privacy Issues Related to Smart Grid Technologies”. October 5, 2010. While there is infrastructure to generate and transmit data, the challenge is developing data practices for collection, sharing, and management to make efficient use of this data to: • Track changing system dynamics, such as those resulting from integration of renewables; • Share data that could improve emergency response; and • Inform investments that could improve resilience and emergency preparedness. This paper will discuss the following topics: (1) Importance of data development; (2) Progress in data sharing, protection, and standardization practices; and (3) Challenges and opportunities for improvement for utilities, the federal government, and third parties. This paper will conclude with areas of further research and development for energy data.
电力行业正在经历一场前所未有的结构变革。随着分布式发电和产消者(既生产电力又消费电力的客户)的增长,关于负荷行为的典型假设不再适合输电系统所有者和运营商。这一变化极大地提高了高保真度和及时的运行数据和负载数据对能源部门及其合作伙伴的价值。如果与适当的分析技术相结合,这些数据具有降低总能耗、降低系统成本以及提高可靠性和弹性的潜力。通过分析提取信息,并优化数据以驱动决策和控制过程,是实现原始数据潜在利益的必要条件。这些信息可能对为消费者和公用事业开发技术和服务的能源部门利益相关者有用。technet、SunSpec Alliance和DBL Partners。“解锁网格数据”。2016年12月。虽然来自线路工作人员的传感器和观察在整个电力系统中生成数据,但不同地区的数据生成技术部署存在差异,因为每个公用事业公司可能有不同的优先级,因此有不同的分析需求。通过适当的收集策略和工具,收集到的数据可以高效有效地用于大数据分析。此外,关于数据隐私和安全的透明和明确的规则和条例可以促进法律确定性,并为寻求使用这些数据提供创新终端用户服务的第三方消除障碍。能源部(DOE)。“智能电网技术相关的数据访问和隐私问题”。2010年10月5日。虽然有生成和传输数据的基础设施,但挑战在于开发收集、共享和管理数据的实践,以有效利用这些数据:•跟踪不断变化的系统动态,例如可再生能源整合产生的动态;•共享可改善应急反应的数据;•告知可改善复原力和应急准备的投资。本文将讨论以下主题:(1)数据开发的重要性;(2)数据共享、保护和标准化实践的进展;(3)公用事业、联邦政府和第三方面临的改进挑战和机遇。本文将总结能源数据进一步研究和发展的领域。
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引用次数: 1
期刊
2019 International Energy and Sustainability Conference (IESC)
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