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2022 13th International Renewable Energy Congress (IREC)最新文献

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A Polymeric/inorganic Composite Coatings on the Separator for High-energy Lithium Metal Battery 高能锂金属电池隔膜上的聚合物/无机复合涂层
Pub Date : 2022-12-13 DOI: 10.1109/IREC56325.2022.10002038
Ni Jie, Xiao Qiangfeng
Lithium metal (Li) is a highly promising anode for next-generation rechargeable batteries. However, the development of rechargeable lithium metal batteries is hampered by the issues such as low Coulombic efficiency, unstable growth of the solid-electrolyte interphase (SEI) and dendrites. Herein, a polymeric inorganic composite coatings (PICC) on the Celgard separator has been developed to regulate the Li-ion transport during charge/discharge of the battery. The PICC is a combination of poly(vinylidene fluoride) (PVDF) and Li6.03La3ZrNb0.25Al0.24O12 (LLZO). In the carbonate-based electrolyte, the cycle life of Li ‖ Cu batteries with coating (PVDF:LLZO=1:2) increases from 30 cycles for uncoated batteries to 120 cycles and a high Coulomb Efficiency of 96% is achieved. Moreover, the Li‖NCM811 batteries using the PICC exhibit decent rate and cycling performance. After 100 cycles, the capacity retention of 94% at 0.2C is obtained, and the specific capacity is maintained above 191 mAh/g.
锂金属(Li)是下一代可充电电池极有前途的阳极材料。然而,可充电锂金属电池的发展受到库仑效率低、固-电解质界面(SEI)生长不稳定和枝晶生长不稳定等问题的制约。研究人员在Celgard隔膜上开发了一种聚合物无机复合涂层(PICC),用于调节电池充放电过程中的锂离子输运。PICC是聚偏氟乙烯(PVDF)和Li6.03La3ZrNb0.25Al0.24O12 (LLZO)的组合。在碳酸盐基电解液中,涂覆Li‖Cu电池(PVDF:LLZO=1:2)的循环寿命从未涂覆电池的30次循环增加到120次循环,库仑效率高达96%。此外,Li‖NCM811电池使用PICC表现出良好的速率和循环性能。循环100次后,在0.2C下的容量保持率为94%,比容量保持在191 mAh/g以上。
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引用次数: 0
Data Forecasting with Application to Blockchain-based Local Energy Markets 数据预测及其在基于区块链的本地能源市场中的应用
Pub Date : 2022-12-13 DOI: 10.1109/IREC56325.2022.10001989
A. Boumaiza, A. Sanfilippo
The creation of distributed energy generation that eliminates conventional differences between energy producers and consumers creates a new role called prosumer. This study aims at deploying a general ABM simulation framework to facilitate electricity exchange and demonstrate the functionality of blockchain. The simulation involved a Transactive Energy Distributed Energy Resource in a block chain dependent robust multi-agent structure. The LEM proposal based on blockchain uses auction system to balance supply and demand. Prediction error impacts on market outcomes were reduced by the LTSM model. The prediction procedure works on blockchain based LEM with adjusted prediction procedure. In ten real-world household power consumption datasets, the proposed hybrid deep learning neural network outperforms the state-of-the-art methods. To complement the proposed framework for actual application use, we additionally offer a k-step power consumption forecasting technique. This research offers a scalable environment for analyzing an energy blockchain from the perspective of Qatari society, finance, and technology.
分布式能源的产生消除了能源生产者和消费者之间的传统差异,创造了一个被称为产消者的新角色。本研究旨在部署一个通用的ABM模拟框架,以促进电力交换并展示区块链的功能。该仿真涉及一个基于区块链的鲁棒多智能体结构中的交易能源分布式能源。基于区块链的LEM提案使用拍卖系统来平衡供需。LTSM模型降低了预测误差对市场结果的影响。预测程序工作在基于区块链的LEM上,并调整了预测程序。在10个真实家庭用电数据集中,所提出的混合深度学习神经网络优于最先进的方法。为了补充所提出的框架用于实际应用,我们还提供了k步功耗预测技术。这项研究为从卡塔尔社会、金融和技术的角度分析能源区块链提供了一个可扩展的环境。
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引用次数: 3
An analysis of factor affecting the solar home system market in Rwanda 影响卢旺达太阳能家庭系统市场的因素分析
Pub Date : 2022-12-13 DOI: 10.1109/IREC56325.2022.10001975
Jeanne baptiste Niyigena, Wang Yongli, Emile Niringiyimana
The Solar Home System (SHS) has emerged as the answer to rural electricity in Rwanda, a developing nation where improving rural living conditions, rural electrification, and sustainable development are the primary development objectives. This study investigates the causes of the recent fall in SHS for lighting users in Rwanda based on adaptability and size in the choice to purchase SHS. In this article, adoption and sizing decisions that affect the choice to buy a home solar system are attempted to be quantified. Multivariate Probit (MVP) model are used to analyze the data. The same non-income factors— kerosene, rechargeable batteries, phone charging time, the number of children, and indoor pollution are presented in this research as the primary criteria for adjusting SHS and determining size. The study found that the level of kerosene use is found to have a substantial impact on the decision to begin using the light of SHS. It’s also found that non-income factors play a big role in the spread of SHS in rural Rwanda. The study concludes that household income alone is insufficient to estimate the latent demand for SHS in Rwanda.
在卢旺达这个以改善农村生活条件、农村电气化和可持续发展为主要发展目标的发展中国家,太阳能家庭系统(SHS)已经成为解决农村电力问题的答案。本研究调查了卢旺达照明用户在选择购买SHS时的适应性和规模,从而导致SHS近期下降的原因。在本文中,采用和规模决定,影响选择购买家庭太阳能系统是试图量化。采用多元概率(MVP)模型对数据进行分析。同样的非收入因素——煤油、可充电电池、手机充电时间、儿童数量和室内污染——在本研究中被提出作为调整SHS和确定规模的主要标准。研究发现,煤油的使用水平对开始使用SHS灯的决定有重大影响。研究还发现,非收入因素在卢旺达农村SHS的传播中起着重要作用。该研究的结论是,仅靠家庭收入不足以估计卢旺达对特别住房的潜在需求。
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引用次数: 0
IREC 2022 Cover Page IREC 2022封面
Pub Date : 2022-12-13 DOI: 10.1109/irec56325.2022.10002150
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引用次数: 0
Mixed oxide preparation by ultrasonic assisted method. Toward hydrogen production via CO2 reforming of methane 超声辅助法制备混合氧化物。通过甲烷的二氧化碳重整制氢
Pub Date : 2022-12-13 DOI: 10.1109/IREC56325.2022.10002137
H. Kalawoun, M. Chaghouri, C. Ciotonea, C. Gennequin, F. Delattre
The synthesis method is definitive to tune the physicochemical properties for catalytic materials. In this work, the preparation of Ni-Co-Mg-Al-La mixed oxide derived from layered doubles hydroxides (LDH) phases is reported. The synthesis of Ni-Co-Mg-Al-La (LDH) was studied by co-precipitation and under sonication media. X-ray patterns of the samples prepared by ultrasound showed the incorporation of lanthanum ions within the hydrotalcite based structure, while the specific surface areas of samples prepared by the ultrasound method are showing an increasing with 25 % by comparison with the classic procedure. Due to the better textural and structural properties, the catalysts prepared by ultrasound shows an enhancement of the catalytic activity (CO2 of 90% and CH4 of 87%) toward dry reforming of methane.
该合成方法对调整催化材料的物理化学性质具有决定性意义。本文报道了层状双氢氧化物(LDH)相制备Ni-Co-Mg-Al-La混合氧化物的方法。采用共沉淀法和超声介质合成了Ni-Co-Mg-Al-La (LDH)。超声法制备样品的x射线图显示镧离子在水滑石基结构内的掺入,而超声法制备样品的比表面积比经典法制备方法增加了25%。超声波制备的催化剂具有较好的结构和结构性能,对甲烷干重整的催化活性提高了90% (CO2)和87% (CH4)。
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引用次数: 0
Assessment of the energy efficiency for a building energy model using different glazing windows in a semi-arid climate 半干旱气候下使用不同玻璃窗的建筑能源模型的能源效率评估
Pub Date : 2022-12-13 DOI: 10.1109/IREC56325.2022.10001934
Niima Es-sakali, S. I. Kaitouni, Imad Ait Laasri, Mohamed Oualid Mghazli, Moha Cherkaoui, J. Pfafferott
To improve the building’s energy efficiency many parameters should be assessed considering the building envelope, energy loads, occupation, and HVAC systems. Fenestration is among the most important variables impacting residential building indoor temperatures. So, it is crucial to use the most optimal energy-efficient window glazing in buildings to reduce energy consumption and at the same time provide visual daylight comfort and thermal comfort. Many studies have focused on the improvement of building energy efficiency focusing on the building envelope or the heating, ventilation, and cooling systems. But just a few studies have focused on studying the effect of glazing on building energy consumption. Thus, this paper aims to study the influence of different glazing types on the building’s heating and cooling energy consumption. A real case study building located under a semi-arid climate was used. The building energy model has been conducted using the OpenStudio simulation engine. Building indoor temperature was calibrated using ASHRAE’s statistical indices. Then a comparative analysis was conducted using seven different types of windows including single, double, and triple glazing filled with air and argon. Tripleglazed and double-glazed windows with argon space offer 37% and 32% of annual energy savings. It should be stressed that the methodology developed in this paper could be useful for further studies to improve building energy efficiency using optimal window glazing.
为了提高建筑的能源效率,需要评估许多参数,包括建筑围护结构、能源负荷、职业和暖通空调系统。开窗是影响住宅建筑室内温度的最重要变量之一。因此,在建筑中使用最节能的窗户玻璃来减少能源消耗,同时提供视觉日光舒适和热舒适是至关重要的。许多研究都集中在提高建筑能源效率上,主要集中在建筑围护结构或采暖、通风和冷却系统上。但很少有研究关注玻璃对建筑能耗的影响。因此,本文旨在研究不同玻璃类型对建筑采暖和制冷能耗的影响。在半干旱气候下使用了一个真实的案例研究建筑。建筑能耗模型是使用OpenStudio仿真引擎进行的。使用ASHRAE的统计指数校正建筑物室内温度。然后使用七种不同类型的窗户进行了比较分析,包括单层、双层和三层充满空气和氩气的玻璃。带有氩气空间的三层玻璃窗和双层玻璃窗每年可节省37%和32%的能源。应该强调的是,本文中开发的方法可以用于进一步研究如何使用最佳窗户玻璃来提高建筑能源效率。
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引用次数: 8
Mechanical Wind pumping system based on Hydropumped storage 基于水力抽水蓄能的机械风力抽水系统
Pub Date : 2022-12-13 DOI: 10.1109/IREC56325.2022.10002101
Achour Djalloul, K. Mohamed
In this paper, a new pumping system where a controlled storage has been integrated to a classical mechanical wind pumping system is proposed. The new system consists mainly of a wind turbine, a controlled storage and a piston pump. The objective of this developed system is to improve the standard system global power efficiency. First, a literature survey over what has been done up to now on wind pumping and pumped storage is presented. The details of the proposed system design are given. Then, the advantages of this new system compared to a classical one are shown. Finally, the developed wind pumping system and the standard mechanical wind pumping system were simulated in order to prove that the proposed system has the best results in terms of power efficiency and stored water.
本文提出了一种将控制蓄风系统集成到传统机械风抽系统中的新型抽风系统。新系统主要由一个风力涡轮机、一个可控存储装置和一个活塞泵组成。本系统的目标是提高标准系统的全局功率效率。首先,对迄今为止在风力抽水和抽水蓄能方面所做的研究进行了综述。给出了系统设计的具体细节。在此基础上,分析了该系统与传统系统相比的优点。最后,对所开发的风力泵系统和标准机械风力泵系统进行了仿真,证明了所提出的系统在功率效率和储水量方面具有最佳效果。
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引用次数: 0
期刊
2022 13th International Renewable Energy Congress (IREC)
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