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Editors and reviewers 编辑和审查员
IF 1.4 Pub Date : 2024-03-08 DOI: 10.23919/SAIEE.2024.10463749
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引用次数: 0
Self-synchronizing on-off-keying visible light communication system for intra- and inter-vehicle data transmission 用于车内和车间数据传输的自同步开关键控可见光通信系统
IF 1.4 Pub Date : 2024-03-08 DOI: 10.23919/SAIEE.2024.10463748
S. Achari;A. Y. Yang;J. Goodhead;B. Swanepoel;L. Cheng
Visible light communication is a present technology which allows data to be transmitted by modulating information onto a light source. It has many advantages over traditional radio frequency communication and up to 10,000 times larger bandwidth. Many existing research in visible light communication assumes a synchronized channel, however, this is not always easily achieved. This paper proposes a novel synchronized VLC system with the potential to ensure reliable communication in both intra- and inter-vehicle communication. The protocol achieves synchronization at the symbol level using the transistor-transistor logic protocol and achieves frame synchronizations with markers. Consequently, the deployment of the system in both intra- and inter-vehicle communication may present numerous advantages over existing data transmission processes. A practical application where visible light communication is used for media streaming is also previewed. In addition, various regions of possible data transmission are determined to infer forward error correction schemes to ensure reliable communication.
可见光通信是目前一种通过将信息调制到光源上进行数据传输的技术。与传统的射频通信相比,可见光通信具有许多优势,其带宽最高可达 10,000 倍。现有的许多可见光通信研究都假设有一个同步信道,但这并不容易实现。本文提出了一种新型同步 VLC 系统,有望确保车内和车际通信的可靠性。该协议使用晶体管-晶体管逻辑协议实现符号级同步,并通过标记实现帧同步。因此,与现有的数据传输流程相比,在车内和车际通信中部署该系统具有诸多优势。此外,还预览了将可见光通信用于媒体流的实际应用。此外,还确定了各种可能的数据传输区域,以推断前向纠错方案,确保通信的可靠性。
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引用次数: 0
Green hydrogen: A clean energy solution for Germany's transportation sector 绿色氢能:德国交通领域的清洁能源解决方案
IF 1.4 Pub Date : 2024-03-08 DOI: 10.23919/SAIEE.2024.10463751
A. D. Asiegbu;M. T. E. Kahn;A. M. Almaktoof
The need for sustainable and environmentally friendly energy sources is very important if future generations are to be spared of the misdoings of past generations. Climate change, environmental pollution, radiation pollution, and altering of the balanced ecology of the green planet earth is now a significant challenge, because if not mitigated, some island nations will disappear in the future, due to human activities energized by unsustainable fossil fuels. Based on these facts, Germany has taken concrete and important steps to stem the tide of this ill wind by embracing the Green Hydrogen system. This is more obvious in the transport system that produces more than 40% of Green House Gases in Europe. Because Germany is an industrialized European nation, the government has introduced Green Hydrogen for transportation in accordance with European Union energy policy. Therefore, this paper provides a clear, concise analysis and implementation of Green Hydrogen energy in the smart energy system. The paper presents Green Hydrogen analysis in transportation in four sections, namely, Geographical, Chemical, social, and economic aspects, respectively. The last section of this paper is the discussion of results from cost/feasibility analysis, which shows that although the expected or forecasted GH cost is US$7.11per kg from 2020 to 2050, the current growth in the green hydrogen infrastructure and technology, reduced the overall cost of GH in 2020 to $1.60/kg. An erudite conclusion and recommendations are made at the end of this research.
要想让子孙后代免受前人的祸害,就必须使用可持续的环保能源。气候变化、环境污染、辐射污染以及改变绿色地球的生态平衡是目前面临的一个重大挑战,因为如果不加以缓解,一些岛国将在未来消失,原因是人类活动使用了不可持续的化石燃料。基于这些事实,德国已经采取了具体而重要的措施,通过采用绿色氢能系统来阻止这股恶风。这一点在产生欧洲 40% 以上温室气体的运输系统中表现得更为明显。由于德国是欧洲工业化国家,政府已根据欧盟能源政策在交通领域引入绿色氢能。因此,本文对智能能源系统中的绿色氢能源进行了简明扼要的分析和实施。本文分别从地理、化学、社会和经济四个方面对绿色氢能在交通领域的应用进行了分析。本文最后一部分讨论了成本/可行性分析的结果,结果表明,尽管 2020 年至 2050 年预期或预测的温室气体成本为每公斤 7.11 美元,但目前绿色氢能基础设施和技术的发展,使 2020 年温室气体的总体成本降至每公斤 1.60 美元。本研究报告的最后提出了详尽的结论和建议。
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引用次数: 0
Evaluation of unconventional partial discharge and tan delta assessment techniques on medium voltage cable terminations with artificial defects 对带有人工缺陷的中压电缆终端的非常规局部放电和 tan delta 评估技术的评估
IF 1.4 Pub Date : 2024-03-08 DOI: 10.23919/SAIEE.2024.10463754
J. V. Bissett;P. A. van Vuuren;J. J. Walker
Reliable cable systems are of utmost importance for electricity distribution- and grid networks. Cable terminations are key components of cable systems but also contribute significantly towards unwanted cable failures and power outages. Although well-developed standards exist in the electricity industry, it is not always possible to execute the most effective tests at power frequency due to financial or logistical reasons. Hence, withstand voltage- and Partial Discharge tests at power frequency are only conducted at a low percentage of electricity utilities. This paper presents the evaluation of unconventional partial discharge fault detection techniques and Very Low Frequency Tan Delta measurements on different cable termination defects. Five artificial cable termination defects were created on single core 6.35/11kV cross linked polyethylene cables, with one “defect-free” termination and five defective ones. Power frequency voltage was applied at increased voltage steps to initiate aging acceleration due to partial discharge. This resulted in insulation deterioration and eventual termination failure. Different data sets were obtained from the Very Low Frequency Tan Delta measurements as well as for the unconventional Partial Discharge measurements. The sequence of failures is compared between the two data sets and evaluated against the root cause failures of the terminations as evaluated by an industry expert. High Frequency Current Transformer and capacitive coupling sensors were used together with an advanced partial discharge data acquisition system. Partial discharge analysis was done to relate the specific on-line trending data with termination failure. Good correlation was found between the two data sets which supports the utilization of unconventional partial discharge measurement for cable acceptance testing. It would be beneficial for the electricity industry to consider unconventional Partial Discharge technology as a suitable alternative for on-site acceptance tests for cable terminations.
可靠的电缆系统对配电和电网网络至关重要。电缆终端是电缆系统的关键部件,但也是造成电缆故障和停电的重要原因。虽然电力行业已制定了完善的标准,但由于资金或物流原因,并不总是能在工频下执行最有效的测试。因此,只有很少一部分电力公司会进行工频耐压和局部放电测试。本文介绍了非常规局部放电故障检测技术和超低频 Tan Delta 测量对不同电缆终端缺陷的评估。在单芯 6.35/11kV 交联聚乙烯电缆上人为制造了五个电缆终端缺陷,其中一个为 "无缺陷 "终端,五个为有缺陷终端。以增加的电压阶跃施加工频电压,以启动局部放电导致的老化加速。这导致绝缘老化,最终导致终端失效。从甚低频 Tan Delta 测量和非常规局部放电测量中获得了不同的数据集。比较了两组数据的故障顺序,并根据行业专家评估的终端故障根本原因进行了评估。高频电流互感器和电容耦合传感器与先进的局部放电数据采集系统一起使用。通过局部放电分析,将特定的在线趋势数据与终端故障联系起来。发现这两个数据集之间存在良好的相关性,从而支持将非常规局部放电测量用于电缆验收测试。考虑将非常规局部放电技术作为电缆终端现场验收测试的合适替代方案,对电力行业大有裨益。
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引用次数: 0
Notes for authors 作者须知
IF 1.4 Pub Date : 2024-03-08 DOI: 10.23919/SAIEE.2024.10463753
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引用次数: 0
Notes for authors 作者须知
IF 1.4 Pub Date : 2024-03-03 DOI: 10.23919/SAIEE.2024.10520214
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引用次数: 0
Techno-Economic Modeling of Stand-Alone Solar Photovoltaic Systems: A Case Scenario from South Sudan 独立太阳能光伏系统的技术经济建模:南苏丹案例
IF 1.4 Pub Date : 2024-03-03 DOI: 10.23919/SAIEE.2024.10520213
Aban Ayik;Nelson Ijumba;Charles Kabiri;Philippe Goffin
South Sudan is expansive and sparsely populated with over 80% of the population living in rural areas. The country has no national grid connecting its cities and towns, thus making rural areas “good candidates” for stand-alone renewable energy systems. This study was conducted to determine the technical feasibility and economic viability of a stand-alone photovoltaic (PV) system compared to a diesel generator. A technoeconomic model was developed to forecast the performance of the PV system. The system was initially designed using the IEEE Recommended Practice for Sizing of Stand-Alone Photovoltaic Systems (IEEE P1562-2021) and the IEEE Recommended Practice for Sizing Lead-Acid Batteries for Stand-Alone Photovoltaic Systems (IEEE 1013-2019). The solar radiation data used for modeling were acquired from the Ineichen clear sky model and then transposed to the plane of array irradiation using pvlib python. The system optimization and sensitivity analysis was performed under various diesel fuel costs using the Hybrid Optimization of Multiple Energy Resources (HOMER) software. Results show that at a fuel price of $ 2 per liter, the levelized cost of electricity (LCOE) of the PV system is 64% lower than that of the diesel generator and that the system can earn 11% return on investment (ROI) and recover the investment in about 5.5 years. With a drop in price of diesel fuel to $1 per liter, the payback period increases to about 7 years. These results show that standalone PV systems are technically feasible and economically viable in rural and peri-urban areas of South Sudan.
南苏丹幅员辽阔,人口稀少,80% 以上的人口居住在农村地区。该国没有连接城镇的国家电网,因此农村地区成为独立可再生能源系统的 "理想候选地"。本研究旨在确定独立光伏(PV)系统与柴油发电机相比的技术可行性和经济可行性。开发了一个技术经济模型来预测光伏系统的性能。该系统的初步设计采用了《IEEE 独立光伏系统选型推荐实践》(IEEE P1562-2021)和《IEEE 独立光伏系统铅酸电池选型推荐实践》(IEEE 1013-2019)。建模所用的太阳辐射数据来自 Ineichen 晴空模型,然后使用 pvlib python 将其转换为阵列辐照平面。系统优化和敏感性分析是在不同柴油燃料成本条件下使用多能源资源混合优化(HOMER)软件进行的。结果显示,在燃料价格为每升 2 美元时,光伏系统的平准化电力成本(LCOE)比柴油发电机低 64%,系统可获得 11% 的投资回报率(ROI),并在约 5.5 年内收回投资。如果柴油价格降至每升 1 美元,投资回收期将增至约 7 年。这些结果表明,在南苏丹的农村和城郊地区,独立光伏系统在技术上是可行的,在经济上也是可行的。
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引用次数: 0
Editors and reviewers 编辑和审查员
IF 1.4 Pub Date : 2024-03-03 DOI: 10.23919/SAIEE.2024.10520216
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引用次数: 0
The Feasibility of Positioning Electromagnetic Near Field Hotspots within a Resonant Cavity for Microwave Thermal Ablation 在用于微波热消融的谐振腔内定位电磁近场热点的可行性
IF 1.4 Pub Date : 2024-03-03 DOI: 10.23919/SAIEE.2024.10520211
Graeme Young;David Rubin;Alan Clark
An investigation into moving electromagnetic nearfield hotspots inside a resonant cavity is presented. The investigation focused on simulating an alternative approach to microwave thermal ablation of tumours by manipulating the interaction between electromagnetic near fields instead of utilising an interstitial antenna. The methodology comprised comparing various electromagnetic field solvers, verifying the simulation techniques, characterising a rectangular resonant cavity, and attempting to manipulate the position of its hotspots by introducing a feed phase shift. The effects of dielectric media were also investigated. Progressive hotspot movement was achieved using input phase manipulation between 2.55 and 2.7 GHz with the feeds on opposite walls. No pattern change was evident at the system's eigenfrequencies, indicating a constant field pattern at its resonant peaks. Furthermore, it was determined that the characteristic modes of the system were narrowband, such that the addition of dielectric material altered the system's resonance. Therefore, the application of this method to thermal ablation, which requires high precision, accuracy and control, was deemed impractical. Future recommendations include using adjustable geometry to design field patterns, comparing dielectric media with significant thermal mass, and investigating the ‘inverse problem’ to create a specific current distribution around the resonant cavity and induce the desired hotspot patterns.
本文介绍了一项关于在谐振腔内移动电磁近场热点的研究。这项研究的重点是通过操纵电磁近场之间的相互作用,而不是利用间隙天线来模拟肿瘤微波热消融的替代方法。研究方法包括比较各种电磁场求解器、验证模拟技术、确定矩形谐振腔的特征,以及尝试通过引入馈电相移来操纵其热点位置。此外,还研究了介质的影响。在 2.55 和 2.7 千兆赫之间,通过输入相位操作,实现了热点的渐进移动,馈源位于相对的腔壁上。在系统的特征频率上没有明显的模式变化,这表明在谐振峰上有恒定的场模式。此外,还确定系统的特征模式为窄带,因此添加介电材料会改变系统的共振。因此,将这种方法应用于需要高精度、准确性和控制的热烧蚀被认为是不切实际的。未来的建议包括使用可调整的几何形状来设计场模式,比较具有较大热质量的介电质,以及研究 "逆问题",以便在谐振腔周围形成特定的电流分布,并诱发所需的热点模式。
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引用次数: 0
Using LSTM to Perform Load Predictions for Grid-Interactive Buildings 使用 LSTM 为网格交互式建筑进行负荷预测
IF 1.4 Pub Date : 2024-03-03 DOI: 10.23919/SAIEE.2024.10520212
Kyppy N. Simani;Yuval O. Genga;Yu-Chieh J. Yen
Energy consumption from the residential sector forms a large portion of the electricity grid demand. The growing accessibility of residential load profile data presents an opportunity for improved residential load forecasting and the implementation of demand-side management (DSM) strategies. Machine learning is a tool well-suited for predicting stochastic processes, such as residential power usage due to human behavior. Long short-term memory (LSTM) recurrent neural networks are especially suited for predicting time-series data such as electrical load profiles. This paper investigates the impact of LSTM hyperparameters to the predictive performance of models, which include the tradeoffs associated with training data size, horizon ratios, model fidelity, prediction horizon and computational intensity. This paper provides a framework to evaluate the choice of LSTM hyperparameters for understanding trade-offs in a practical application of load profile predictions for the context of Grid-interactive Efficient Buildings (GEBs).
住宅部门的能源消耗占电网需求的很大一部分。越来越多的居民负荷曲线数据为改进居民负荷预测和实施需求侧管理 (DSM) 策略提供了机会。机器学习是一种非常适合预测随机过程的工具,例如由人类行为导致的住宅用电情况。长短期记忆 (LSTM) 循环神经网络尤其适合预测时间序列数据,如电力负荷曲线。本文研究了 LSTM 超参数对模型预测性能的影响,其中包括与训练数据大小、水平比率、模型保真度、预测水平和计算强度相关的权衡。本文提供了一个框架,用于评估 LSTM 超参数的选择,以了解电网交互式高效楼宇(GEB)负载曲线预测实际应用中的权衡。
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引用次数: 0
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SAIEE Africa Research Journal
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