Journal of Engineering Research最新文献_第6页

An Artificial Intelligence based automated case-based reasoning (CBR) system for severity investigation and root-cause analysis of road accidents – Comparative analysis with the predictions of ChatGPT 基于人工智能的自动案例推理(CBR)系统，用于道路事故的严重程度调查和根本原因分析-与ChatGPT预测的比较分析

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.09.019

K. Venkatesh Raja , R. Siddharth , S. Yuvaraj , K.A. Ramesh Kumar

Road accidents have been progressively causing havoc in our society and certain preventive measures must be taken to reduce or possibly eliminate road accidents. The derivative of a road accident ranges from a mild injury to casualty. This research work mainly focusses on developing a novel case-based reasoning system to investigate and troubleshoot the cause of road accidents on a war-foot basis. First, the dominant attributes contributing to the cause of road accidents are identified and finalized as 28. A unique road accident dataset is developed which comprises of 1028 data collected from web resources, popular news magazines and extended further to large scale database of one-million cases by biased random number simulation. Each attribute is given a severity weightage of 1,2 and 3 for computing the net weighted score for a case in the database. Also, non-weighted scores are computed by introduction of a primary number dataset to maintain the uniqueness of the score which is further used for similarity analytics. Now, an accident news is randomly selected, and Rapid automatic keyword extraction (RAKE) schema is used as Natural language processor (NLP) for extracting the dominant keywords from the news articles. The extracted keywords are compared and further mapped into a factor-matrix comprising 28 attributes causing road accidents. Further, similarity analytics is performed to evaluate the severity scores and comparison of new cases. The system demonstrated high retrieval accuracy with all road accident cases collected from real world scenarios. This research has great prospects on troubleshooting road accident cases effectively and provides instant promising troubleshooting measures to prevent such accidents in the future. Also, the proposed framework might be useful for intelligent decision-making systems and automated driving systems. Based on the final outlook, a comprehensive framework for national road safety could be developed and passed as a valid law for implementation. Finally, the forecasted results of the proposed algorithm are compared with the predictions of Chat GPT program.

道路交通事故已经逐渐在我们的社会造成严重破坏，必须采取某些预防措施来减少或可能消除道路交通事故。交通事故的后果从轻伤到伤亡不等。本文的研究工作主要集中在开发一种新的基于案例的推理系统，以在战争基础上调查和排除道路交通事故的原因。首先，确定并最终确定了导致道路交通事故的主要属性为28。从网络资源和流行新闻杂志中收集了1028个数据，并通过有偏随机数模拟进一步扩展到百万案例的大规模数据库，建立了独特的道路交通事故数据集。每个属性的严重性权重分别为1、2和3，用于计算数据库中案例的净加权分数。此外，通过引入一个主数字数据集来计算非加权分数，以保持分数的唯一性，并进一步用于相似性分析。本文采用随机抽取事故新闻的方法，采用快速自动关键字提取(Rapid automatic keyword extraction, RAKE)模式作为自然语言处理器(NLP)，从新闻文章中提取优势关键字。将提取的关键字进行比较，并进一步映射到包含导致道路事故的28个属性的因子矩阵中。此外，进行相似性分析以评估严重性评分和新病例的比较。该系统显示出很高的检索精度，所有的道路事故案例都是从真实世界的场景中收集的。本研究对道路交通事故案例的有效排除具有重要的应用前景，为今后预防道路交通事故的发生提供及时有效的排除措施。此外，所提出的框架可能对智能决策系统和自动驾驶系统有用。根据最后的展望，可以制定一个全面的国家道路安全框架，并通过作为一项有效的执行法律。最后，将该算法的预测结果与Chat GPT程序的预测结果进行了比较。

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引用次数: 0

Empirical model and side friction factor effect on desired operating speed at horizontal curved road 经验模型和侧摩擦因数对水平弯道理想运行速度的影响

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2024.01.026

Debela Jima, Tibor Sipos

The road surface and its geometric condition affect the vehicle's desired operating speed. This paper is framed to examine an empirical model for the desired operating speed due to the variation of the side friction factor at horizontal road curvature across the design period. The minimum radius equation developed by the American Association of State Highway and Transportation Officials (AASHTO) was used to analyze the desired operating speed at the confessed minimum radius, maximum side friction factor, and superelevation. This empirical formula indicated that speed and side friction factors had a direct relationship. Even though this empirical equation cannot define the relationship between desired speed and side friction across the design period except at the opening phase of the road, based on the research gap indicated above, this study proposes an empirical model used to explore the desired operating speed that resulted from the variation of the side friction factor across the design period. To have a structured flow of ideas, a theoretical model was used to create the approach of the specific research inquiry. For exploration purposes, this study used a maximum superelevation of 8 %, the same minimum radius, and the AASTHO recommended side friction factor. Based on the proposed empirical model, this study confirmed that the desired speed increases and decreases as side friction decreases and increases, respectively. Except that vehicular movement is in a static state, at an unrealistic side friction factor (f = 0), and at a critical zone.

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引用次数: 0

Experimental studies on performance and emission measures of a 4-stroke compression ignition engine using palm bio-diesel blended with N-butanol 棕榈生物柴油与正丁醇混合四冲程压缩点火发动机性能及排放指标试验研究

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.07.010

Bichitra Nanda Behera, Tapano Kumar Hotta

The enormous consumption of energy, stiff increase in oil prices, and customary fuel degradation contribute to massive fuel crises in most of the developed countries. Despite the mild energy disaster and extreme environmental regulations, Diesel engines pose a vital option for automobile vehicles. However, the increased Diesel emissions and the higher labor cost associated to cut down the same make the Bio-diesels blended with N-butanol a better option to resolve the fossil gasoline problems in the future. Hence, the present study highlights the performance and emission measures of a 4-stroke Compression Ignition (CI) engine using N-butanol additive (solvent) with Palm Bio-diesel. Experiments are conducted (i) with only Diesel (ii) with Palm Bio-diesel (in percentages of 10, 15, and 20) mixed with Diesel, and (iii) with N-butanol additive (considered 10% only) to the mixture of Palm Bio-diesel (in percentages of 10, 15, and 20) and Diesel. Experimental analyses are carried out in the same engine using an eddy current dynamometer. The effect of various performance parameters like Brake specific fuel consumption (BSFC), Brake thermal efficiency (BTE), Brake specific energy consumption (BSEC), and Exhaust gas temperature (EGT) on the engine load (varying between 0 and 16 N) is evaluated. On the other hand, different regulated emission measures like Smoke opacity, Nitrogen Oxide (NO_x), Carbon Monoxide (CO), Carbon Dioxide (CO₂), and Hydrocarbons (HC) are also evaluated at the same engine loads. The idea is to identify the feasibility and potential benefits of these biofuel blends in the CI engine. Adding 10% N-butanol to Bio-diesel, the HC, CO₂, CO, and smoke opacity are reduced to a greater extent. The NO_x emissions are also controlled to a larger extent using N-butanol. Again, the BA10 (10% Palm Bio-diesel, 10% N-butanol, and 80% Diesel) has a 2% higher BTE and a 1.33% lower BSFC compared to Diesel and B10 (10% Palm Bio-diesel, and 90% Diesel). The addition of N-butanol to Diesel also helps in reducing the fuel density, kinematic viscosity, and cetane value of blended fuels and can be used as a substitute fuel for Diesel engines.

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引用次数: 0

Prediction of tensile strength of biochar filled polylactic acid composites via box-behnken design 生物炭填充聚乳酸复合材料抗拉强度的箱形设计预测

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.100142

Vianney Andrew Yiga , Michael Lubwama , Denis Karemani , Denis Bbosa , Emmanuel B.O. Olotu , Peter Wilberforce Olupot , Faith Natukunda

Most studies on tensile strength of agricultural residue biochar fiber-reinforced PLA composites make use of the one-factor at a time method, which involves changing one of the independent factors at a time while keeping others constant. A shortcoming with this technique is that it cannot consider possible interactions between parameters and does not provide the optimum combination of factors to predict the maximum tensile strength of composites. In this study, Response Surface Methodology (RSM) was applied to optimize the tensile strength of rice husks biochar fiber reinforced polylactic acid composites. Biochar loading (10, 20, and 30 wt%), magnesium hydroxide (Mg(OH)₂) loading (5,7.5, and 10 wt%), and biochar length (0.3,1.8, and 3.3 mm) were used to design the experiments using the Box-Behnken design (BBD). PLA composites were prepared using compression molding. Experimental results were analyzed by analysis of variance and fitted to a quadratic model by using multiple regression analysis. The desirability function revealed that the values of process variables leading to optimized tensile strength (25.46 MPa) were 30 wt%, 5 wt% and 2.50 mm for biochar loading, Mg(OH)₂ loading, and biochar length, respectively. Analysis of Variance results revealed Mg(OH)₂ content and biochar content as the most significant model terms. From validation experiments, a high degree of correlation was found between the actual values and the predicted values of tensile strength, with an R² value of 0.9943. TGA results showed the combustion process took place in three main stages. Coats-Redfern method had a 0.9522 coefficient of determination value, signalling satisfactory fit of the TG data. The optimized composite was favored to format activated complex due to low energy barrier (<7 kJ/mol) between activation energy and enthalpy values.

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引用次数: 0

Simulation study of single solar cell structures based on the compositionally variable perovskite material CsSn(I1−xBrx)3 for tandem configured solar cells 基于成分可变钙钛矿材料csn (I1-xBrx)3的串联太阳能电池单体结构模拟研究。

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.09.030

Hayat Arbouz

This work involves simulating the performance of a single solar cell configured TiO₂/CsSn(I_1−xBr_x)₃/Cu₂O, based on the lead-free, metallic CsSn(I_1−xBr_x)₃ perovskite absorber, whose bandgap energy is tunable as a function of its bromine content. The simulation model used takes into account the variation of the physical parameters of the absorber as a function of its composition, represented by the ratio x, and also makes it possible to obtain the photovoltaic performance of the device studied as a function of x. The state of the front interface between the ETL electron-transport layer and the perovskite absorber was evaluated as a function of (x), by calculating the conduction bandgap offset and the misfit strain. Different electron transport layers were considered. The simulation results showed that the absorber composition influences all photovoltaic parameters, and that the choice of electron transport layer is important to achieve a compromise between device performance and the correct state of the front interface. The results indicate that CdZnS and CdS ETL materials correspond to bromine absorption ratios of x = 0 and x = 0.35 for which the conduction band offset values are − 0.03 eV and 0 eV respectively and the misfit strain 0.09 and 0.057, while ZnSe and ZnS correspond to ratios of x = 0.75 and x = 1 for which the conduction band offsets are 0 eV and 0.38 eV respectively and the strain 0.056 and 0.08. Based on these results, we determined the following optimal structures: CdZnS/CsSnI₃/Cu₂O and CdS/CsSn(I_0.65Br_0.35)₃/Cu2O, which achieved yields of 18.1% and 18.5% respectively, as suitable for lower subcells with narrow bandgap energies, while the structures: ZnSe/CsSn(I_0.25Br_0.75)₃/Cu₂O and ZnS/CsSnBr₃/Cu₂O, which achieved efficiencies of 17.5% and 18% respectively, as top sub-cells with wide bandgap energies, in a tandem solar cell device. The aim is to develop highly efficient, non-toxic and stable single and tandem perovskite cells.

这项工作涉及模拟基于无铅金属csn (I1-xBrx)3钙钛矿吸收体的单个太阳能电池配置TiO2/ csn (I1-xBrx)3/Cu2O的性能，其带隙能量可作为其溴含量的函数进行调节。所使用的仿真模型考虑了吸收器物理参数随其组成的变化，用比值x表示，并且可以得到所研究器件的光伏性能随x的变化。通过计算导通带隙偏移量和失配应变，将ETL电子输运层与钙钛矿吸收器之间的前界面状态作为(x)的函数进行评估。考虑了不同的电子传递层。仿真结果表明，吸收层的组成影响着所有光伏参数，电子传输层的选择对于实现器件性能和前界面的正确状态之间的折衷至关重要。结果表明:CdZnS和CdS ETL材料对应的溴吸收比分别为x=0和x=0.35，导带偏移值分别为-0.03 eV和0 eV，失配应变分别为0.09和0.057;ZnSe和ZnS对应的溴吸收比分别为x=0.75和x=1，导带偏移值分别为0 eV和0.38 eV，应变分别为0.056和0.08。基于这些结果，我们确定了以下结构:CdZnS/ cssn3 /Cu2O和CdS/ csssn (I0.65Br0.35)3/Cu2O，分别可获得18.1%和18.5%的产率，适用于窄带隙能量的低亚电池，而ZnSe/ csssn (I0.25Br0.75)3/Cu2O和ZnS/CsSnBr3/Cu2O，分别可获得17.5%和18%的效率，作为宽带隙能量的顶级亚电池，串联太阳能电池器件。目的是开发高效、无毒、稳定的单钙钛矿和串联钙钛矿电池。

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引用次数: 0

Fault diagnosis of air compressor set-up using decision tree based J48 classification algorithm 基于决策树J48分类算法的空压机机组故障诊断

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.09.028

Atul Dhakar, Bhagat Singh, Pankaj Gupta

This paper describes an air compressor fault diagnosis method based on the acquisition of audio signals pertaining to seven faulty and one healthy condition. These audio signals are processed using Local Mean Decomposition (LMD) signal processing technique. Further, statistical indicators have been evaluated for feature extraction considering the decomposed signals. From different statistical indictors mean, variance, root mean square (RMS), root mean amplitude (RMA), absolute mean amplitude (AMA), kurtosis, peak to peak index, waveform index, peak index, impulse index, margin index, skewness, Shannon entropy, standard deviation, log energy entropy, log detector and CPT has been selected for decision tree based J48 classification algorithm. Decision tree based J48 classification algorithm more accurately identified healthy and faulty bearing state in an air compressor with the help of all statistical indicators. Data set consists of 360 instances having 17 attributes with 2 classes (healthy and bearing fault). Higher classification accuracy of J48 algorithm (96.66 %) has been obtained for healthy and faulty bearing conditions. LMD along with decision tree based J48 classification algorithm is quite suitable for processing and monitoring in situ fault features in air compressor set-up.

本文介绍了一种基于7故障1健康音频信号采集的空压机故障诊断方法。这些音频信号使用局部均值分解(LMD)信号处理技术进行处理。此外，考虑到分解后的信号，对特征提取的统计指标进行了评估。从不同的统计指标均值、方差、均方根(RMS)、均方根振幅(RMA)、绝对平均振幅(AMA)、峰度、峰间指数、波形指数、峰值指数、脉冲指数、裕度指数、偏度、香农熵、标准差、对数能量熵、对数检测器和CPT等选择了基于决策树的J48分类算法。基于决策树的J48分类算法借助各种统计指标更准确地识别空压机轴承的健康和故障状态。数据集由360个实例组成，具有17个属性和2类(健康和轴承故障)。J48算法对健康和故障轴承状态的分类准确率达到96.66%。LMD结合基于决策树的J48分类算法非常适合于空压机机组现场故障特征的处理和监测。

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引用次数: 0

Statistical modelling to assessing and enhancing road traffic safety in Tripoli, Libya: A systematic approach 统计模型评估和加强在的黎波里，利比亚道路交通安全:一个系统的方法

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.09.021

Enass Al Feki , Jamel Neji

In recent years, there is gradual increase in the needs for private vehicle ownership in Libya due to the lack and poor public transportation infrastructure which results in the growth of road traffic accidents (RTAs), particularly in Tripoli. Therefore, in order to evaluate RTAs, the current study used a systematic method that looks at three variables: the driver, the vehicle, and urban conditions. Besides, in order to explore the causes and factors that contribute to RTAs in the city, the current study used multiple correspondence analysis and logistic regression analysis to examine the data of 1) drivers and 2) vehicles involved in accidents, and 3) RTAs reported between 2015 and 2019 on twelve major urban roads in Tripoli. The findings show that each of the 12 chosen routes had a severity index (SI) above 10 and that RTAs regularly happened on those roads. RTAs most commonly happened as a result of driver negligence, which included speeding, being careless, failing to give priority, using a phone while driving, and negotiating bends incorrectly. While the results of the logistic regression analysis showed that increasing the width of the road median, crosswalks, and pedestrian bridges as well as the number of lanes and traffic signs would significantly increase road traffic safety (RTS), by following the distinct RTA-related factors such as sign boards on each road. A reduction in RTA frequency in Tripoli might be achieved by enhancing driver education and risk perception (drivers should maintain a high degree of awareness, refrain from distractions, respect traffic rules, and modify their driving style to the conditions of the road as well as their own physical and mental health), as the majority of RTAs there are caused by speeding and inattention, and by improving the nation's road infrastructure. The current study helps to design the policy of creating and putting into practice a systematic approach for safer roads in Tripoli.

近年来，由于缺乏和糟糕的公共交通基础设施，导致道路交通事故(rta)的增长，特别是在的黎波里，利比亚对私人车辆所有权的需求逐渐增加。因此，为了评估rta，目前的研究使用了一种系统的方法，该方法考虑了三个变量:驾驶员、车辆和城市条件。此外，为了探索导致城市rta的原因和因素，本研究采用多重对应分析和logistic回归分析，研究了2015年至2019年的黎波里12条主要城市道路上的驾驶员和事故车辆数据，以及3)报告的rta。研究结果显示，12条选定路线的严重程度指数(SI)均在10以上，并且这些道路上经常发生rta。rta最常见的原因是司机的疏忽，包括超速、粗心、没有优先考虑、开车时使用手机和转弯时不正确。logistic回归分析结果表明，增加道路中间线、人行横道和人行天桥的宽度，以及车道和交通标志的数量，可以显著提高道路交通安全(RTS)，并遵循不同的rta相关因素，如每条道路上的标志。减少的黎波里RTA的频率可以通过加强驾驶员教育和风险认知来实现(驾驶员应保持高度的意识，避免分心，尊重交通规则，根据道路状况以及自己的身心健康调整驾驶风格)，因为那里的大多数RTA是由超速和注意力不集中引起的，并且可以通过改善国家的道路基础设施来实现。目前的研究有助于制定政策，制定并实施的黎波里更安全道路的系统方法。

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引用次数: 0

Assessing coastal outfall impact on shallow enclosed bays water quality: Field and statistical analysis 评估海岸排放物对浅封闭海湾水质的影响:实地及统计分析

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.09.031

Mohamad A. Alkhalidi , Sarah M. Hasan , Badreyah F. Almarshed

Shallow bays, valued for their environmental, economic, and social significance, face increasing threats from anthropogenic stressors, primarily wastewater discharge through coastal outfalls. The slow tidal currents in these bays hinder the effective dispersion of pollutants to deeper waters, exacerbating their impact. This study assesses the spatial effects of wastewater and brine discharges on Sulaibikhat Bay's water quality. The approach combines fieldwork, laboratory analysis, and statistical techniques to identify pollutant types, sources, and concentrations near outfalls, nearshore, and offshore areas. Throughout the study, high water temperatures were observed consistently, exceeding 30 °C in summer and 18.6 °C in winter near most outfalls, with a maximum deviation from the ambient water of 11.1 °C recorded in December. In addition to elevated electrical conductivity (EC) levels peaking at 60,700 μs/cm, these elevated temperatures significantly reduce dissolved oxygen levels and have been linked to fish kill events in the Bay. NH₃-N, TSS, COD, BOD5, FC, and FS concentrations exceeded allowable limits in 56.4 %, 92.25 %, 40.30 %, 32.1 %, 70 %, and 63.36 % of samples, respectively, often reaching extreme levels. Also, the BOD₅/COD ratios suggest the presence of non-biodegradable organic matter, mainly from industrial sewage, and the FC/FS levels implicate human and animal waste. These results indicate a mix of domestic, industrial, and commercial wastewater discharges and underscore the severe threat coastal outfalls pose to ecosystem health and water quality in Sulaibikhat Bay. Principal Component Analysis (PCA) and Cluster Analysis (CA) delineate two distinct environmental zones with varying characteristics and contamination levels, necessitating expanded monitoring. Finally, substantial field research, numerical modeling, and establishing a sustainable environmental management system are needed to protect this fragile ecosystem. Also, converting outfalls into offshore may mitigate the environmental status of the bay by enhancing pollutant dilution and dispersion.

浅海湾因其环境、经济和社会意义而受到重视，但它面临着越来越多的人为压力因素的威胁，主要是沿海排水口排放的废水。这些海湾缓慢的潮流阻碍了污染物向更深水域的有效扩散，加剧了它们的影响。本研究评估了污水和盐水排放对苏莱比哈特湾水质的空间影响。该方法结合了实地考察、实验室分析和统计技术，以确定污染物类型、来源和排放口附近、近岸和近海地区的浓度。在整个研究过程中，持续观察到高水温，在大多数出口附近夏季超过30°C，冬季超过18.6°C，与环境水的最大偏差在12月记录为11.1°C。除了电导率(EC)水平升高(峰值为60700 μs/cm)外，这些升高的温度显著降低了溶解氧水平，并与海湾中的鱼类死亡事件有关。NH3-N、TSS、COD、BOD5、FC和FS的超标比例分别为56.4%、92.25%、40.30%、32.1%、70%和63.36%，往往达到极限值。此外，BOD5/COD比值表明存在不可生物降解的有机物质，主要来自工业污水，而FC/FS水平涉及人类和动物粪便。这些结果表明了生活、工业和商业废水排放的混合，并强调了沿海排放物对苏莱比哈特湾生态系统健康和水质构成的严重威胁。主成分分析(PCA)和聚类分析(CA)描绘了两个不同的环境区域，具有不同的特征和污染水平，需要扩大监测。最后，需要大量的实地研究、数值模拟和建立可持续的环境管理系统来保护这一脆弱的生态系统。此外，将排污口转为近海，可加强污染物的稀释和扩散，从而改善海湾的环境状况。

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引用次数: 0

Thermal performance study of buildings and their corresponding scale models with identical constructions and geometrical similarity 具有相同结构和几何相似性的建筑物及其相应比例模型的热工性能研究

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2023.10.022

Xiangfeng Liu , Miao Xu

Small-scale physical model testing can be applied to calibrate a computational building energy model based on the acquired reliable thermal performance data. The calibration approach using a small-scale physical model is a rigorous and cost effective means in order to do an accurate full-scale building energy simulation. It is meaningful to reveal the correlation of the thermal performance between a full-scale building and its scale model, so that the data from a small-scale model testing can be scalable to predict the performance of a full-scale building. The purpose of the research is to investigate the correlations reflecting the comparative thermal performance of a full-scale building against its scale model with identical constructions and geometrical similarity. More than ninety thousand scenarios about the typical target building zones and their corresponding scale models were generated via the parametric energy modeling and simulation approach. Then, the typical thermal performance indicator of each building zone, i.e. the zone mean air temperature (ZMAT), was obtained. The result shows that the zone mean air temperature difference between the target building and its scale model is a time dependent variable with the diurnal cycle. Compared with a fixed scale model, the bigger building causes the larger variation of zone mean air temperature difference. Furthermore, it also indicates that the zone mean air temperature difference can be approximated by a logarithmic regression function as

A Ln (SF / d) + B

, where A and B are empirical coefficients associated with climate, building form, material and construction, as well as window-to-wall ratio. In engineering practice, the outcomes of the research are applicable for thermal performance estimation and energy model calibration of full-scale buildings, especially for a planned building with the available material and construction samples, but without the determined or reliable thermal performance data for the building.

基于获得的可靠的热性能数据，可以应用小尺度物理模型试验来校准计算建筑能量模型。为了进行精确的全尺寸建筑能量模拟，使用小尺寸物理模型的校准方法是一种严格且经济有效的方法。揭示全尺寸建筑的热工性能与其模型之间的相关性，使小尺寸模型试验的数据可以扩展到全尺寸建筑的性能预测中，具有重要的意义。本研究的目的是探讨反映全尺寸建筑与具有相同结构和几何相似性的比例模型的比较热性能的相关性。通过参数化能量建模与仿真方法，生成了典型目标建筑区域的9万多个场景及其相应的比例模型。然后，得到各建筑区域的典型热性能指标，即区域平均空气温度(ZMAT)。结果表明:目标建筑与其比例模型之间的区域平均温差是一个随日周期变化的时间变量。与固定比例尺模型相比，建筑物越大，区域平均温差变化越大。区域平均温差可以用对数回归函数近似表示为ALn(SF/d)+B，其中a和B是与气候、建筑形式、材料和构造以及窗墙比相关的经验系数。在工程实践中，研究结果适用于全尺寸建筑的热性能估算和能量模型校准，特别是对于具有可用材料和施工样品但没有确定或可靠的建筑热性能数据的规划建筑。

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引用次数: 0

Smart demand management based on economic and technical objective functions in the autonomous energy system 自主能源系统中基于经济和技术目标函数的智能需求管理

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-12-01 DOI: 10.1016/j.jer.2024.02.006

María-Verónica Seminario-Morales , María-Gregoria Sánchez-Prieto , Nestor Cuba Carbajal , Manuel Enrique Chenet Zuta , Yersi-Luis Huamán-Romaní

This article introduces a novel approach to scheduling the autonomous energy system (AES) by taking into account both technical and economic considerations. To enhance the performance of the system during operation, demand management is proposed. This involves offering bid prices to consumers in order to reduce demand during emergencies. The study aims to achieve multiple objectives, including minimizing operational costs and improving voltage indices, through the use of multi-objective modeling. The Particle Swarm Optimization (PSO) algorithm is employed to optimize this multi-objective problem. The fuzzy max-min method is then applied to obtain the desired optimal solution from the set of non-dominated solutions. To demonstrate the effectiveness and validity of the proposed strategy, two case studies are conducted on the 33 bus IEEE test system. The participation of demand management by consumers leads to improving operational costs and voltage indices by 6.12%% and 20% in comparison with non-participation of the consumers.

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引用次数: 0