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Developing an algorithm for planning the periodicity of controls for a random process model 开发随机过程模型控制周期规划算法
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-21 DOI: 10.1016/j.rineng.2024.102964
O. Hrechanyі
The problem of forecasting the beginning of the repair effects of equipment under the action of degradation processes was considered. The possibility of using the theory of emissions that form a non-stationary Poisson flow to establish the inspection interval was studied. It was found that when using the theory of emissions while assigning inter-control periods, it is necessary to compare paired correlation coefficients, one of which is r1,δ≫0.9 and tends to unity.
考虑了在退化过程作用下预测设备维修效果开始时间的问题。研究了使用形成非稳态泊松流的排放理论来确定检查间隔的可能性。研究发现,在使用排放理论分配控制间隔期时,有必要比较成对相关系数,其中一个相关系数为 r1,δ≫0.9,并趋于统一。
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引用次数: 0
Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller 通过带有模式搜索和级联 PDN-PI 控制器的新型混合教育竞争优化器调节光伏热电系统的频率
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-21 DOI: 10.1016/j.rineng.2024.102958
Serdar Ekinci , Davut Izci , Ozay Can , Mohit Bajaj , Vojtech Blazek
Maintaining a stable balance between generated power and load demand is a critical challenge in modern power systems, especially with the increasing integration of renewable energy sources like photovoltaic (PV) systems. This study introduces a novel hybrid educational competition optimizer with pattern search (hECO-PS) algorithm to optimally tune a cascaded proportional-derivative with filter and proportional-integral (PDN-PI) controller for load frequency control (LFC) in a two-area power system comprising a PV system and a reheat thermal power system. The proposed hECO-PS algorithm enhances both global exploration and local exploitation capabilities, resulting in superior convergence rates and solution accuracy. The controller's performance was evaluated under various scenarios, including a 10 % step load change and solar radiation variations, demonstrating significant improvements in frequency regulation. The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. Furthermore, the proposed controller reduced settling time by up to 46 % and minimized overshoot by up to 40 %. These results confirm the efficacy of the proposed approach in enhancing system stability and reliability under dynamic operating conditions, suggesting it as a promising solution for LFC in modern power systems with high renewable energy penetration.
保持发电量与负载需求之间的稳定平衡是现代电力系统面临的一项严峻挑战,尤其是随着光伏(PV)系统等可再生能源的集成度不断提高。本研究引入了一种新颖的混合教育竞争优化器与模式搜索(hECO-PS)算法,用于优化调整级联的带滤波器和比例积分(PDN-PI)的比例-派生控制器,以实现由光伏系统和再热火力发电系统组成的双区电力系统中的负载频率控制(LFC)。所提出的 hECO-PS 算法增强了全局探索和局部开发能力,从而提高了收敛速度和求解精度。控制器的性能在各种情况下进行了评估,包括 10% 的阶跃负荷变化和太阳辐射变化,结果表明频率调节能力显著提高。经过 hECO-PS 调整的 PDN-PI 控制器实现了 0.4464 的最小时间加权绝对误差积分(ITAE)值,优于传统方法,如改进的鲸鱼优化算法和海马算法,后者的 ITAE 值分别为 2.6198 和 0.8598。此外,所提出的控制器还缩短了 46% 的稳定时间,并最大限度地减少了 40% 的过冲。这些结果证实了所提出的方法在动态运行条件下提高系统稳定性和可靠性的功效,表明它是可再生能源渗透率较高的现代电力系统中 LFC 的一种有前途的解决方案。
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引用次数: 0
Millettia aboensis leaves extract as eco-friendly corrosion inhibitor for mild steel in acidizing solution: From experimental to molecular level prediction 作为酸化溶液中低碳钢的环保型缓蚀剂的阿勃氏黍叶提取物从实验到分子水平的预测
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-21 DOI: 10.1016/j.rineng.2024.102950
Fidelis E. Abeng , Benedict I. Ita , Magdalene E. Ikpi , Vitalis I. Chukwuike , Alexander I. Ikeuba , Moses M. Edim , Maduabuchi A. Chidiebere , Abhinay Thakur , Valentine C. Anadebe
The development of environmentally friendly corrosion inhibitors is becoming more popular since conventional inhibitors are poisonous and non-biodegradable. The anti-corrosive effectiveness of Millettia aboensis leaves extract (MALE) has been assessed in this study using several methods, such as electrochemical measurements, X-ray Photoelectron spectroscopy and scanning electron microscopy on mild steel in acidic solution. Gas chromatography-mass spectrometry (GC-MS) analysis was combined with qualitative and quantitative phytochemical analysis to identify the phytochemicals linked to the activity of the Millettia aboensis extracts and identified key phytoconstituents such as Hexanedioic acid, Phenol derivatives, Octadecanoic acid, and Linolenic acid, which play significant roles in the extract's inhibitory performance. The results showed that the inhibition efficiency (IE%) improved to 88.6 % with the addition of inhibitor concentration from 0.1 g/L to 3.0 g/L and that the corrosion rate drastically reduced from 56.91 mpy to 16.09 mpy. Furthermore, at a greater concentration (3.0 g/L), the Rct values rose from 61.42 Ω cm2 to 176.3 Ω cm2 thus, indicating that the inhibitor molecules were forming a protective film over the metallic surface. Scanning Electron Microscopy (SEM) provided visual evidence of surface morphology, revealing a smoother surface in the presence of the inhibitor, indicative of the protective film formed by the adsorption of organic molecules onto the steel surface. Theoretical calculations using the ωB97XD functional and def2svp basis set further supported the experimental findings, showing that the protonated form of C21H36O4 exhibited the highest interaction energy, correlating with its superior inhibition efficiency on the metal surface.
由于传统的缓蚀剂有毒且不可生物降解,开发环境友好型缓蚀剂正变得越来越流行。本研究采用多种方法,如电化学测量法、X 射线光电子能谱法和扫描电子显微镜法,对酸性溶液中低碳钢的抗腐蚀效果进行了评估。气相色谱-质谱(GC-MS)分析与定性和定量植物化学分析相结合,确定了与阿勃氏黍提取物活性相关的植物化学物质,并确定了六二酸、苯酚衍生物、十八酸和亚麻酸等主要植物成分,它们在提取物的抑制性能中发挥了重要作用。结果表明,随着抑制剂浓度从 0.1 克/升增加到 3.0 克/升,抑制效率(IE%)提高到 88.6%,腐蚀速率从 56.91 mpy 急剧下降到 16.09 mpy。此外,在更高浓度(3.0 g/L)下,Rct 值从 61.42 Ω cm2 上升到 176.3 Ω cm2,这表明抑制剂分子在金属表面形成了一层保护膜。扫描电子显微镜(SEM)提供了表面形态的直观证据,显示在抑制剂存在的情况下表面更加光滑,表明有机分子吸附在钢表面形成了保护膜。使用 ωB97XD 函数和 def2svp 基集进行的理论计算进一步支持了实验结果,结果表明 C21H36O4 的质子化形式表现出最高的相互作用能,这与其在金属表面的卓越抑制效率相关。
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引用次数: 0
Mechanical properties and stress-strain relationship of slag-based one-part geopolymer concrete: A comparative study 基于矿渣的单组分土工聚合物混凝土的力学性能和应力应变关系:比较研究
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-21 DOI: 10.1016/j.rineng.2024.102952
Amgad Alhamoud, Hossein Tajmir Riahi, Abdolreza Ataei
A comprehensive understanding of the engineering characteristics of one-part slag-based geopolymer concrete (SBGC) is instrumental in promoting its widespread adoption and optimized design, improving construction practices, and advancing sustainability in the built environment. This study examined the workability, development of compressive strength, tensile strength, modulus of elasticity, and stress-strain behavior of one-part SBGC. The long-term compressive strength of SBGC, under both ambient curing and water curing conditions, has also been examined. Multiple combinations of mixtures were assessed, accounting for diverse factors such as activator ratio, aggregate size, water-to-binder ratio, curing conditions and activator types. This research also proposes new equations for predicting tensile strength and modulus of elasticity for one-part SBGC. The findings reveal that water-cured specimens demonstrate up to 43 % higher compressive strength and 52 % higher tensile strength compared to those cured under ambient conditions. Increasing the activator proportion in the mixture notably accelerates the early-stage development of compressive strength and SBGC's modulus of elasticity. Furthermore, one-part SBGC exhibits a long-term strength development that surpasses conventional concrete by over 20 %. In addition, the stress-strain behavior of SBGC reveals its inherent fragility, marked by near-perfect linear elasticity that abruptly transitions to complete and sudden collapse, distinguishing it from ordinary concrete. Microstructural analyses indicate that elevating the activator ratio reduces the presence of unreacted GGBFS particles and quartz in the mixture, thereby promoting the formation of gel.
全面了解单组分矿渣基土工聚合物混凝土(SBGC)的工程特性有助于促进其广泛应用和优化设计,改善施工实践,推动建筑环境的可持续发展。本研究考察了单组分 SBGC 的工作性、抗压强度的发展、抗拉强度、弹性模量和应力应变行为。此外,还考察了 SBGC 在常温固化和水固化条件下的长期抗压强度。根据活化剂比率、骨料大小、水与粘结剂比率、固化条件和活化剂类型等不同因素,对多种混合物组合进行了评估。这项研究还提出了预测单组分 SBGC 拉伸强度和弹性模量的新公式。研究结果表明,与在环境条件下固化的试样相比,水固化试样的抗压强度最高可提高 43%,抗拉强度最高可提高 52%。提高混合物中活化剂的比例可显著加快抗压强度和 SBGC 弹性模量的早期发展。此外,单组分 SBGC 的长期强度发展比传统混凝土高出 20% 以上。此外,SBGC 的应力-应变行为显示出其固有的脆弱性,其特点是近乎完美的线性弹性突然过渡到完全和突然的坍塌,这使其有别于普通混凝土。微观结构分析表明,提高活化剂比率可减少混合物中未反应的 GGBFS 颗粒和石英的存在,从而促进凝胶的形成。
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引用次数: 0
Mechanical behavior of baghdadite-polycaprolactone-graphene nanocomposite for optimization of the bone treatment process in medical applications using molecular dynamics simulation 利用分子动力学模拟优化医疗应用中骨治疗过程的巴格达土-聚己内酯-石墨烯纳米复合材料的力学行为
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-21 DOI: 10.1016/j.rineng.2024.102980
Behrooz Ruhani , Ali Basem , Haydar A.S. Aljaafari , Zahraa A. Hanoon , Shams Dheyaa Jumaah , Soheil Salahshour , Nafiseh Emami
Baghdadite is a monoclinic structure that is frequently used in biomedical applications and is a member of the calcium silicate zirconium group. In actual applications, the mechanical properties (MPs) of this atomic structure are of significant significance, among its other properties. Vacancy defects are one of the atomic phenomena that can affect the MP of Baghdadite. Molecular dynamic (MD) simulations were used to define the MP of Baghdadite-polycaprolactone-graphene nanocomposite (BN) in the presence of vacancy defects. The results of MD simulations show the excellent physical stability of BN with vacancy defects. Technically speaking, appropriate settings in the MD simulation box led to this result. Additionally, various parameters, including the stress-strain curve, Young's modulus (YM), and ultimate strength (US), were reported to explain the mechanical development of BN. In this simulation, vacancy defects to the initial compound at ratios ranging from 1 % to 10 % were introduced. Consequently, the YM of samples varied from 210.87 to 182.89 MPa, and the US decreased by 160.27 MPa. The calculated results show that the vacancy defects significantly reduced the mechanical strength of BN.
Baghdadite 是一种单斜结构,常用于生物医学领域,属于硅酸钙锆族。在实际应用中,这种原子结构的机械性能(MPs)与其他性能一样具有重要意义。空位缺陷是影响巴格达岩力学性能的原子现象之一。本文采用分子动力学(MD)模拟来确定存在空位缺陷的巴格达土-聚己内酯-石墨烯纳米复合材料(BN)的力学性能。MD 模拟结果表明,存在空位缺陷的 BN 具有出色的物理稳定性。从技术上讲,MD 模拟框中的适当设置导致了这一结果。此外,包括应力-应变曲线、杨氏模量(YM)和极限强度(US)在内的各种参数也被用来解释 BN 的机械发展。在该模拟中,初始化合物中的空位缺陷比例从 1 % 到 10 % 不等。因此,样品的 YM 从 210.87 兆帕变化到 182.89 兆帕,US 下降了 160.27 兆帕。计算结果表明,空位缺陷大大降低了 BN 的机械强度。
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引用次数: 0
Structural behavior of built-up I-shaped CFS beams 内置 I 型 CFS 梁的结构行为
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-21 DOI: 10.1016/j.rineng.2024.102963
Ardalan B. Hussein , Diyari B. Hussein
The use of back-to-back built-up C-section beams is becoming increasingly common in CFS construction due to their cost-effectiveness and enhanced load-carrying capacity, making them suitable for longer beam spans and convenient for transportation. These built-up sections are utilized in wall studs, truss components, and floor joists, with intermediate screw fasteners placed at specific intervals to prevent the separate bowing of channels. This study reveals a ratio of 1.003 between experimental findings and finite element analysis results, and 1.002 between experimental findings and direct strength method results, indicating a strong correlation between experimental data from nonlinear finite element analysis and predictions based on the American Iron and Steel Institute and Australian and New Zealand Standards, particularly in predicting the flexural buckling strength of beam specimens. Furthermore, ongoing research is investigating the impact of screw spacing on flexural strength. This study presents results from 175 finite element tests, evaluating seven distinct cross-sections with twelve unique screw spacings. These spacings correspond to the half wavelength of local, distortional, and global buckling, divided by values from one to four. It was found that screw spacing based on half the local buckling half-wavelength along the centerline of the webs increased the critical global buckling moment capacity and the nominal flexural strength by 56 % and 27 %, respectively. For double-lane screws with the same spacing, these increases were even more substantial, reaching 65 % and 31 %, respectively. Economically, the recommended spacing for single-lane screws is half the local buckling half-wavelength.
在 CFS 建筑中,背靠背内置 C 型截面梁的使用越来越普遍,这是因为它们具有成本效益和更强的承载能力,适用于更长的梁跨度,并且便于运输。这些内置型材可用于墙骨、桁架组件和楼板托梁,中间的螺钉紧固件按特定间距放置,以防止槽钢单独弯曲。这项研究显示,实验结果与有限元分析结果之间的比率为 1.003,实验结果与直接强度法结果之间的比率为 1.002,这表明非线性有限元分析的实验数据与基于美国钢铁协会和澳大利亚及新西兰标准的预测数据之间具有很强的相关性,尤其是在预测梁试样的弯曲屈曲强度方面。此外,正在进行的研究还在调查螺钉间距对抗弯强度的影响。本研究展示了 175 项有限元测试的结果,评估了七种截面和十二种螺钉间距。这些间距对应于局部屈曲、扭曲屈曲和整体屈曲的半波长,除以 1 到 4 的值。研究发现,沿腹板中心线以局部屈曲半波长的一半为基础的螺杆间距可将临界全局屈曲弯矩能力和名义抗弯强度分别提高 56% 和 27%。对于具有相同间距的双线螺杆,这些增幅更大,分别达到 65% 和 31%。从经济角度考虑,建议单线螺杆的间距为局部屈曲半波长的一半。
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引用次数: 0
Use of wheat fiber and nanobentonite to stabilize clay subgrades 使用小麦纤维和纳米膨润土稳定粘土路基
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-20 DOI: 10.1016/j.rineng.2024.102931
Mahyar Arabani , Mohammad Mahdi Shalchian , Maryam Majd Rahimabadi
Since clayey soils naturally present low mechanical strength, they pose direct challenges for engineering applications. Finding appropriate soil stabilizers to address the challenges posed by clayey soils is crucial for ensuring that the soil meets the necessary geotechnical requirements and fulfills economic and environmental issues. To this end, this research uses several stabilizers and techniques in clayey soils to improve their suitability for construction. The main objective of this study is to assess the use of wheat fiber and nanobentonite (NB) in soil stabilization, estimate their behavior in practices, outline their obstacles and potential for soil improvement, and consider their ecological and financial effects. This research also evaluates the behavior of the soil by incorporating NB (0.4, 0.8, and 1.2 %) as a stabilizing agent. For this purpose, the randomly dispersed wheat fibers as a reinforcing agent at different dosages and lengths (0.3, 0.6, 0.9 %, and 5, 10, and 15 mm) were combined to the soil matrix. The soil was characterized by conducting compaction, unconfined compressive strength (UCS), direct shear (DS), California bearing ratio (CBR), indirect tensile strength (ITS), freezing-thawing (F-T) tests, and microstructural analysis. The data were used to assess the effect of wheat fiber and NB on the soil's geotechnical properties. The results revealed that incorporating 0.8 % NB into the soil led to the best enhancement in compressive strength. This improvement is attributed to the dehydration and formation of a viscous-like film between the soil particles. In addition, 0.6 % fibers with a length of 15 mm increased the interaction and bonding forces between the particles of soil, resulting in a maximum increase in compressive strength. Combining fibers and NB improved the shear strength, tensile strength, and bearing capacity. Besides, the stabilized soil exhibited superior resistance to freezing-thawing cycles compared to the unreinforced clay. Overall, the results indicate that using wheat fibers and NB is a cost-effective and eco-friendly solution for stabilizing clay subgrades.
由于粘性土的机械强度天然较低,因此给工程应用带来了直接挑战。找到合适的土壤稳定剂来应对粘性土所带来的挑战,对于确保土壤满足必要的岩土工程要求并解决经济和环境问题至关重要。为此,本研究在粘性土中使用了几种稳定剂和技术,以提高其施工适用性。本研究的主要目的是评估小麦纤维和纳米膨润土(NB)在土壤稳定中的应用,估计其在实践中的表现,概述其在土壤改良中的障碍和潜力,并考虑其生态和经济影响。本研究还评估了添加 NB(0.4%、0.8% 和 1.2%)作为稳定剂的土壤行为。为此,在土壤基质中加入了不同剂量和长度(0.3%、0.6%、0.9%,以及 5 毫米、10 毫米和 15 毫米)的随机分散小麦纤维作为加固剂。通过压实、无侧限抗压强度 (UCS)、直接剪切 (DS)、加州承载比 (CBR)、间接抗拉强度 (ITS)、冻融 (F-T) 试验和微观结构分析对土壤进行了表征。这些数据用于评估小麦纤维和 NB 对土壤岩土特性的影响。结果表明,在土壤中加入 0.8 % 的 NB 可最大程度地提高抗压强度。这种改善归因于土壤颗粒之间的脱水和粘性薄膜的形成。此外,长度为 15 毫米的 0.6 % 纤维增加了土壤颗粒之间的相互作用力和结合力,从而使抗压强度得到最大程度的提高。纤维与 NB 的结合提高了剪切强度、抗拉强度和承载能力。此外,与未加固的粘土相比,加固后的土壤表现出更强的抗冻融循环能力。总之,研究结果表明,使用小麦纤维和 NB 是稳定粘土基层的一种经济、环保的解决方案。
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引用次数: 0
Deep neural network based distribution system state estimation using hyperparameter optimization 利用超参数优化进行基于深度神经网络的配电系统状态估计
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-20 DOI: 10.1016/j.rineng.2024.102908
Gergő Békési , Lilla Barancsuk , Bálint Hartmann
In the past decade, distribution system state estimation has become a crucial topic in power system research due to the increasing importance of distribution networks amidst the decline of centralized energy production. This paper addresses a gap in the literature regarding the application of modern hyperparameter optimization techniques in low-voltage distribution system state estimation using deep neural networks. In particular, it demonstrates the use of the Tree-structured Parzen Estimator algorithm, which is a Bayesian hyperparameter optimization method, for distribution system state estimation on real Hungarian low-voltage networks. The study uses data from four real-life low-voltage supply areas in Hungary, which were modeled to address the challenges in obtaining network information. Compared to traditional methods like the weighted least squares method, the Tree-structured Parzen Estimator algorithm significantly improves the accuracy of the voltage amplitude and angle estimations, reducing the relative error by 14–73%. Additionally, it is shown that TPE outperforms simpler methods like Random Search in hyperparameter optimization. The results also reveal connections between the distribution system size and optimal hyperparameters, such as batch size, learning rate, and hidden layer configuration. The proposed non-iterative algorithm, combined with the parallel computation capabilities of deep neural networks utilizing GPU, resulted in four orders of magnitude improvement in runtime. These advancements make the proposed approach a valuable tool for renewable energy integration planning and real-time monitoring, highlighting its potential for practical applications in the power industry.
近十年来,随着集中式能源生产的衰退,配电网的重要性日益增加,配电系统状态估计已成为电力系统研究的一个重要课题。本文探讨了现代超参数优化技术在利用深度神经网络进行低压配电系统状态估计方面的应用,填补了文献空白。特别是,它演示了在匈牙利实际低压网络中使用树状结构 Parzen 估算器算法(一种贝叶斯超参数优化方法)进行配电系统状态估算。该研究使用了匈牙利四个实际低压供电区域的数据,这些区域的模型是为了应对获取网络信息方面的挑战而建立的。与加权最小二乘法等传统方法相比,树状结构帕尔岑估计器算法显著提高了电压幅值和角度估计的准确性,相对误差减少了 14-73%。此外,研究还表明,在超参数优化方面,TPE 优于随机搜索等简单方法。研究结果还揭示了配电系统规模与最优超参数(如批量大小、学习率和隐层配置)之间的联系。所提出的非迭代算法与利用 GPU 的深度神经网络并行计算能力相结合,使运行时间缩短了四个数量级。这些进步使所提出的方法成为可再生能源集成规划和实时监控的重要工具,凸显了其在电力行业的实际应用潜力。
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引用次数: 0
Evaluation of the hydrogen/oxygen and thermoelectric production of a hybrid solar PV/T-electrolyzer system 太阳能光伏/电解槽混合系统的氢气/氧气和热电生产评估
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-20 DOI: 10.1016/j.rineng.2024.102920
Armel Zambou Kenfack , Modeste Kameni Nematchoua , Venant Sorel Chara-Dackou , Elie Simo
In order to achieve a sustainable, low-carbon energy future, it is necessary to develop innovative and integrated solutions. However, one of the main obstacles to the advancement of renewable energy is storage. With this in mind, hybrid systems combining solar energy and hydrogen production have great potential. This article focuses on the evaluation of a solar PV/T (photovoltaic-thermal) system coupled with an electrolyser for the joint production of hydrogen and heat. Simulations are performed in MATLAB. The analysis reveals that with PV/T power supply, the production potential is estimated at 179.6 W and 551.9 W respectively for electrical and thermal power. An in-depth study aimed at optimizing the system by evaluating the quality of the energy used in the water electrolysis process makes it possible to analyze the effect of certain operating parameters. With a water flow of 5.7 ×103 m3/h, a current density of 200 mA/ cm2 and an electrolyzer temperature of 60 °C, the monthly production of hydrogen and oxygen reaches the maximum values of 4.85 m3 and 2.42 m3 respectively. This led to a maximum exergy efficiency of 57.8 %. This study demonstrates the linearity between hydrogen production and current density which at high density reduces exergy performance.
为了实现可持续的低碳能源未来,有必要开发创新的综合解决方案。然而,可再生能源发展的主要障碍之一是储存。有鉴于此,太阳能与制氢相结合的混合系统具有巨大潜力。本文重点评估了太阳能 PV/T(光伏-热能)系统与电解槽的结合,以实现氢气和热能的联合生产。仿真在 MATLAB 中进行。分析结果表明,在光伏/热供电的情况下,电能和热能的生产潜力估计分别为 179.6 W 和 551.9 W。通过评估水电解过程中所用能源的质量,旨在优化系统的深入研究使得分析某些运行参数的影响成为可能。在水流量为 5.7 ×10-3 m3/h、电流密度为 200 mA/ cm2 和电解槽温度为 60 °C 的条件下,氢气和氧气的月产量分别达到 4.85 m3 和 2.42 m3 的最大值。因此,最高能效为 57.8%。这项研究证明了氢气产量与电流密度之间的线性关系,在高密度情况下,电流密度会降低放能效能。
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引用次数: 0
Design and implementation of Golden Eagle optimized cascaded PI and LQR controller for PFC SEPIC converter in EV charging 为电动汽车充电中的 PFC SEPIC 转换器设计并实现金鹰优化级联 PI 和 LQR 控制器
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-20 DOI: 10.1016/j.rineng.2024.102942
Vijayakumar S, Sudhakar N
This research article focuses on designing and implementing a single ended primary inductor converter (SEPIC) for an AC-DC converter, followed by an electric vehicle (EV) charger. It improves the high-power factor at the AC supply with minimum harmonic distortion. The Golden Eagle optimization techniques are adapted to optimize the tuning of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller parameters for better converter performance. The optimization is designed based on the eagle knowledge of hunting methods at various angles of spiral trajectories in capturing the animal. The SEPIC converter is designed and derived from the state space model by state space averaging, and the reduced model is obtained through the moment matching method to reduce computational complexity. The Golden Eagle Optimize the parameters of KP and KI of the PI controller and weighing matrix Q of the linear quadratic controller. The fitness function of the proposed optimization is the sum of the Integral Absolute error (IAE) and Integral Square error (ISE). The proposed optimization is implemented using MATLAB/SIMULINK software, and the simulation outcomes demonstrate an improved settling time, fast recovery against input and output variations, Total Harmonic Distortion (THD) of 1.75 %, and enhanced stability.
本文的研究重点是为交直流转换器设计和实现单端初级电感转换器(SEPIC),然后再用于电动汽车(EV)充电器。它以最小的谐波失真提高了交流电源的高功率因数。金鹰优化技术适用于优化比例积分(PI)和线性二次调节器(LQR)控制器参数的调整,以获得更好的转换器性能。优化设计基于老鹰在捕捉动物时不同角度螺旋轨迹的狩猎方法知识。通过状态空间平均法设计并推导出 SEPIC 转换器的状态空间模型,并通过矩匹配法获得简化模型,以降低计算复杂度。金鹰优化 PI 控制器的 KP 和 KI 参数以及线性二次控制器的权重矩阵 Q。拟议优化的拟合函数为积分绝对误差(IAE)和积分平方误差(ISE)之和。使用 MATLAB/SIMULINK 软件实现了拟议的优化,仿真结果表明,稳定时间得到了改善,输入和输出变化得到了快速恢复,总谐波失真 (THD) 为 1.75 %,稳定性得到了增强。
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Results in Engineering
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