Pertanika Journal of Science and Technology最新文献_第6页

Effect of Bimetallic Co-Cu/Dolomite Catalyst on Glycerol Conversion to 1,2-Propanediol 双金属钴/白云石催化剂对甘油转化为 1,2-丙二醇的影响

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.09

N. Azri, R. Irmawati, U. Nda-Umar, M. I. Saiman, Y. Taufiq-Yap, Ghassan Abdulkareem-Alsultan

{"title":"Effect of Bimetallic Co-Cu/Dolomite Catalyst on Glycerol Conversion to 1,2-Propanediol","authors":"N. Azri, R. Irmawati, U. Nda-Umar, M. I. Saiman, Y. Taufiq-Yap, Ghassan Abdulkareem-Alsultan","doi":"10.47836/pjst.32.3.09","DOIUrl":"https://doi.org/10.47836/pjst.32.3.09","url":null,"abstract":"This present study examines the efficacy of using dolomite (Dol, CaMg(CO3)2)-supported copper (Cu) and cobalt (Co) bimetallic and monometallic catalysts for the hydrogenolysis of glycerol to propylene glycol (PG; 1,2-PDO). The proposed catalysts were generated using the impregnation process before they were calcined at 500°C and reduced at 600°C. Advanced analytical techniques namely Brunauer, Emmett, and Teller (BET) method; the Barrett, Joyner, and Halenda (BJH) method; temperature-programmed desorption of ammonia (NH3–TPD), hydrogen-temperature programmed reduction (H2-TPR), X-ray diffraction (XRD) analysis, and scanning electron microscopy (SEM) were then used to characterise the synthesised catalysts, whose performance was then tested in the hydrogenolysis of glycerol. Of all the synthesised catalysts tested in the hydrogenolysis process, the Co-Cu/Dol bimetallic catalyst performed best, with an 80.3% glycerol conversion and 85.9% PG selectivity at a pressure of 4 MPa, a temperature of 200°C, and a reaction time of 10 hours. Its high catalytic performance was attributed to effective interactions between its Co-Cu-Dol species, which resulted in acceptable acidity, good reducibility of metal oxide species at low temperatures, larger surface area (15.3 m2 g-1), large-sized particles, fewer pores (0.032 cm3 g-1), and smaller pore diameter (0.615 nm).","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of Microalgae Chlorella vulgaris and Tetradesmus bernardii for Cultivation and Nutrient Removal in Palm Oil Mill Effluent 评估微藻类小球藻（Chlorella vulgaris）和四裂藻（Tetradesmus bernardii）在棕榈油厂废水中的培养和营养物去除情况

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.10

Mohammad Navid Wais, S. Zulkifly, Mohd Hafiz Ibrahim, Afiqah Mohamed, Zana Ruhaizat Zana Rudin

{"title":"Evaluation of Microalgae Chlorella vulgaris and Tetradesmus bernardii for Cultivation and Nutrient Removal in Palm Oil Mill Effluent","authors":"Mohammad Navid Wais, S. Zulkifly, Mohd Hafiz Ibrahim, Afiqah Mohamed, Zana Ruhaizat Zana Rudin","doi":"10.47836/pjst.32.3.10","DOIUrl":"https://doi.org/10.47836/pjst.32.3.10","url":null,"abstract":"The palm oil industry is one of the key players in contributing to Malaysia’s economy. Palm oil mill effluent (POME), a significant by-product of the oil extraction process, requires mandatory remediation to ensure proper treatment and disposal. Bioremediation using microalgae is a cost-effective and sustainable approach. This study aims to utilise pure and mixed microalgal species, Chlorella vulgaris and Tetradesmus bernardii, in phycoremediation and biomass production in different concentrations of POME (20%, 40%, 60%, and 80%). Cultivation of microalgae was carried out in 200 mL medium with pH 7–7.8, room temperature of 25±1°C for 21 days and continuous light illumination at 2000 lux. The highest biomass productivity was observed in 20% POME for mixed microalgae (mean = 0.1733 mg.mL-1 ± 0.0057), followed by C. vulgaris (0.1633 mg.mL-1 ± 0.0057) and T. bernardii (0.1603 mg.mL-1 ± 0.0020). Similarly, the highest nutrient removal was observed in 20% POME for mixed microalgae (COD:66.9801%, TN:86.9565%, TP:86.9655%), followed by C. vulgaris and T. bernardii. The results showed positive effects on growth, increased biomass production, and nutrient removal, with 20% POME being the optimal concentration for microalgae. Valuable by-products, such as high-quality pigments and biomass, are also generated by applying microalgae for remediation. Mixed microalgae are superior in the remediation of POME compared to single-culture algae. Treating wastewater through microalgal bioremediation is highly efficient in nutrient removal. This research has contributed towards the use of mixed microalgae to achieve effective nutrient removal and biomass for future industrial applications.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of NaOH Concentration and Plate Surface Texture on the Performance of the HHO Generator NaOH 浓度和平板表面纹理对 HHO 发生器性能的影响

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.08

Asmawi Marullah Ridwan, M. R. Mansor, N. Tamaldin, Fahamsyah Hamdan Latief, Viktor Vekky Ronald Repi

{"title":"Effects of NaOH Concentration and Plate Surface Texture on the Performance of the HHO Generator","authors":"Asmawi Marullah Ridwan, M. R. Mansor, N. Tamaldin, Fahamsyah Hamdan Latief, Viktor Vekky Ronald Repi","doi":"10.47836/pjst.32.3.08","DOIUrl":"https://doi.org/10.47836/pjst.32.3.08","url":null,"abstract":"The need for clean energy as an alternative is inevitable. HHO gas has received much attention lately. In addition to electrolyte concentration, the breakthrough with a diverse electrode surface texture approach has not been extensively performed. Therefore, this study aims to determine the effects of NaOH concentration and plate surface texture on the performance of the HHO generator. In general, the increase in electrolyte concentration combined with surface texture caused an increase in output current, HHO gas production, and output temperature. As for the applied voltage variation with various surface textures, the increase in output current, HHO gas production, and output temperature also took place, similar to the case of increasing NaOH concentration. Either an increase in electrolyte concentration or an increase in applied voltage triggers faster ion movement, leading to an increase in conductivity, thus effectively assisting the electrolysis of water. Regarding the output current and HHO gas production, the textured surface had a much higher value than the plain surface in terms of increasing NaOH concentration or applied voltage variations. However, according to the R2 results, the linear surface has a stronger relationship with the output current and HHO gas production than the cross surface. In the case of the output temperature, the linear surface was slightly lower than the cross surface. It is possibly due to impurities in the electrolyte solution that contaminate the electrode surface, resulting in a lower output temperature on the linear surface.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Accident Prediction Model Based on ARIMA in Kuala Lumpur, Malaysia, Using Time Series of Actual Accidents and Related Data 利用实际事故和相关数据的时间序列，基于 ARIMA 的马来西亚吉隆坡事故预测模型

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.07

Boon Chong Choo, Musab Abdul Razak, Mohd Zahirasri Mohd Tohir, D. A. Awang Biak, Syafiie Syam

{"title":"An Accident Prediction Model Based on ARIMA in Kuala Lumpur, Malaysia, Using Time Series of Actual Accidents and Related Data","authors":"Boon Chong Choo, Musab Abdul Razak, Mohd Zahirasri Mohd Tohir, D. A. Awang Biak, Syafiie Syam","doi":"10.47836/pjst.32.3.07","DOIUrl":"https://doi.org/10.47836/pjst.32.3.07","url":null,"abstract":"Recently, there has been an emerging trend to analyse time series data and utilise sophisticated tools for optimally fitting time series models. To date, Malaysian industrial accident data is underutilised and lacks informative records. Thus, this paper aims to investigate the Malaysian accident database and further evaluate the optimal forecasting models in accident prediction. The model’s input was based on available data from the Department of Occupational Safety and Health, Malaysia (DOSH), from 2018 until 2021, with 80% of the dataset to train the models and the remaining 20% for validation. The negative binomial and Poisson distribution prediction showed a mean absolute percentage error (MAPE) of 33% and 51%, respectively. It indicated that the negative binomial performed better than the Poisson distribution in accident frequency prediction. The available time series accident data were gathered for four years, and stationarity was checked in R Studio software for the Augmented Dickey-Fuller test. The lowest Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and other error values were used to justify the best model, which was the ARIMA(2,0,2)(2,0,0)(12) model. The ARIMA models were considered after the data showed autocorrelation. The MAPE for both ARIMA in R and manual time series were 40% and 49%, respectively. Therefore, the accident prediction by using R Studio would outperform the manually negative binomial and Poisson distribution. Based on the findings, industrial safety practitioners should report accidents to DOSH truthfully in the era of digitalisation. It could enable future data-driven accident predictions to be carried out.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Anti-friction and Wear Resistance Performance of Palm Olein Grease with Molybdenum Disulfide Additive 含二硫化钼添加剂的棕榈油基润滑脂的抗摩擦和耐磨性能

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.03

Nadiah Aqilahwati Abdullah, Nurul Farhana Mohd Yusof, Zaidi Mohd Ripin

引用次数: 0

An Empirical Evaluation of Adapting Hybrid Parameters for CNN-based Sentiment Analysis 为基于 CNN 的情感分析调整混合参数的经验评估

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.05

Mohammed Maree, Mujahed Eleyat, Shatha Rabayah

{"title":"An Empirical Evaluation of Adapting Hybrid Parameters for CNN-based Sentiment Analysis","authors":"Mohammed Maree, Mujahed Eleyat, Shatha Rabayah","doi":"10.47836/pjst.32.3.05","DOIUrl":"https://doi.org/10.47836/pjst.32.3.05","url":null,"abstract":"Sentiment analysis aims to understand human emotions and perceptions through various machine-learning pipelines. However, feature engineering and inherent semantic gap constraints often hinder conventional machine learning techniques and limit their accuracy. Newer neural network models have been proposed to automate the feature learning process and enrich learned features with word contextual embeddings to identify their semantic orientations to address these challenges. This article aims to analyze the influence of different factors on the accuracy of sentiment classification predictions by employing Feedforward and Convolutional Neural Networks. To assess the performance of these neural network models, we utilize four diverse real-world datasets, namely 50,000 movie reviews from IMDB, 10,662 sentences from LightSide Movie_Reviews, 300 public movie reviews, and 1,600,000 tweets extracted from Sentiment140. We experimentally investigate the impact of exploiting GloVe word embeddings on enriching feature vectors extracted from sentiment sentences. Findings indicate that using larger dimensions of GloVe word embeddings increases the sentiment classification accuracy. In particular, results demonstrate that the accuracy of the CNN with a larger feature map, a smaller filter window, and the ReLU activation function in the convolutional layer was 90.56% using the IMDB dataset. In comparison, it was 80.73% and 77.64% using the sentiment140 and the 300 sentiment sentences dataset, respectively. However, it is worth mentioning that, with large-size sentiment sentences (LightSide’s Movie Reviews) and using the same parameters, only a 64.44% level of accuracy was achieved.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Supercritical Carbon Dioxide Extraction of Citronella Oil Review: Process Optimization, Product Quality, and Applications 超临界二氧化碳萃取香茅油回顾：工艺优化、产品质量和应用

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Pertanika Journal of Science and Technology Pub Date : 2024-04-01 DOI: 10.47836/pjst.32.3.04

N. R. Putra, Ahmad Hazim Abdul Aziz, Dwila Nur Rizkiyah, M. A. Che Yunus, R. S. Alwi, Reny Tri Anggraini, Siti Khodijah, Irianto Irianto, Lailatul Qomariyah

{"title":"Supercritical Carbon Dioxide Extraction of Citronella Oil Review: Process Optimization, Product Quality, and Applications","authors":"N. R. Putra, Ahmad Hazim Abdul Aziz, Dwila Nur Rizkiyah, M. A. Che Yunus, R. S. Alwi, Reny Tri Anggraini, Siti Khodijah, Irianto Irianto, Lailatul Qomariyah","doi":"10.47836/pjst.32.3.04","DOIUrl":"https://doi.org/10.47836/pjst.32.3.04","url":null,"abstract":"This review paper explores the utilization of supercritical carbon dioxide (SC-CO2) extraction to isolate citronella oil, delving into its multifaceted dimensions, including process optimization, product quality enhancement, and diverse potential applications. Citronella oil, renowned for its myriad bioactive compounds with demonstrated health benefits, is a coveted essential oil in the pharmaceutical, cosmetics, and food industries. The transition from traditional extraction techniques to SC-CO2 extraction presents a paradigm shift due to its manifold advantages, such as heightened yield rates, expedited extraction durations, and elevated product quality. However, the efficacy of SC-CO2 extraction is intricately interwoven with an array of parameters encompassing pressure, temperature, flow rate, particle size, and co-solvent ratios. Accordingly, meticulous process optimization is indispensable in achieving the desired product quality while maximizing yield. Furthermore, the paper explores the extensive spectrum of potential applications for citronella oil, extending its reach into formulations with antimicrobial, insecticidal, and antioxidant properties. These applications underscore the versatility and commercial appeal of citronella oil. The review establishes SC-CO2 extraction of citronella oil as a promising and sustainable alternative to conventional extraction methodologies, offering myriad applications across the pharmaceutical, cosmetics, and food sectors. This scholarly work provides valuable insights into the intricacies of process optimization and product quality. It outlines future perspectives and avenues for further exploration in SC-CO2 extraction of citronella oil.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Conceptual Design and Selection of Natural Fibre Reinforced Composite Cyclist Helmet Liner Using an Integrated Approach 采用综合方法进行天然纤维增强复合材料自行车头盔衬垫的概念设计和选择

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Pertanika Journal of Science and Technology Pub Date : 2024-01-15 DOI: 10.47836/pjst.32.1.23

N. A. Maidin, M. Salit, Mastura Mohammad Taha, Mohd Zuhri Mohamed Yusoff

{"title":"Conceptual Design and Selection of Natural Fibre Reinforced Composite Cyclist Helmet Liner Using an Integrated Approach","authors":"N. A. Maidin, M. Salit, Mastura Mohammad Taha, Mohd Zuhri Mohamed Yusoff","doi":"10.47836/pjst.32.1.23","DOIUrl":"https://doi.org/10.47836/pjst.32.1.23","url":null,"abstract":"This paper describes the conceptual design phase in the product development of a natural fibre composites cyclist helmet liner, beginning with idea generation and ending with selecting the best design concept. The integrated Theory of Inventive Problem Solving (TRIZ), Biomimetic methods, and the Grey Relational Analysis (GRA) method are demonstrated in this paper. This work aims to produce nature-inspired design concepts and determine the best design concept for the composite cyclist helmet liner. Following that, four design concepts were generated using the TRIZ-Biomimetic method, and the variance of concepts was developed using a morphological chart. The GRA method was chosen as the multiple criteria decision-making tool to compare their cost and weight criteria. The design concept C1 was selected as the best design concept for the natural fibre composites of cyclist helmet liner conceptual design when the highest grey relational grade (GRG) value and rank with a value of 1.0000 satisfied the GRA method conditions. This paper demonstrates how the integrated method of TRIZ-Biomimetics-Morphological Chart and GRA helps researchers and engineers develop designs inspired by nature and select the best design concept during the conceptual design stage using a systematic strategy and justified solutions.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preparation of Activated Carbon from Sugarcane Bagasse Using Microwave-assisted ZnCl2 Chemical Activation: Optimization and Characterization Study 利用微波辅助 ZnCl2 化学活化法制备甘蔗渣活性炭：优化和表征研究

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Pertanika Journal of Science and Technology Pub Date : 2024-01-15 DOI: 10.47836/pjst.32.1.22

Atiqa Rahmawati, Fadzkurisma Robbika, Yuafni Yuafni

{"title":"Preparation of Activated Carbon from Sugarcane Bagasse Using Microwave-assisted ZnCl2 Chemical Activation: Optimization and Characterization Study","authors":"Atiqa Rahmawati, Fadzkurisma Robbika, Yuafni Yuafni","doi":"10.47836/pjst.32.1.22","DOIUrl":"https://doi.org/10.47836/pjst.32.1.22","url":null,"abstract":"Microwave-assisted activation is a green technology technique that can synthesize activated carbon from bagasse. In this study, microwave-assisted ZnCl2 chemical activation was applied to convert bagasse to activated carbon (BAC). Activating activated carbon was optimized using surface response methodology (RSM). The Box-Behnken (BBD) design was used to assist in the optimum synthesis condition, with the loading of ZnCl2 concentration (A: 10–50% w/v), heating time (B: 2–12 min), and microwave power (C: 150–800 W). The BAC was characterized using Brunauer-Emmett-Teller (BET), Scanning Electron Microscopy (SEM), Fourier Transform Infrared (FT-IR), and moisture content. The findings of the BAC optimization were at a ZnCl2 concentration of 24.281 (% w/v), 12 min of heating time, and 800 W of microwave power. The characterization result shows that BACop has mesoporous carbon and a desirable surface area of 446.874 m2/g, average pore size of 4.071 nm, pore volume of 0.054 cc/g, and total pore volume of 0.2531 cc/g. SEM analysis revealed that microwave-generated pore structures lead to the ZnCl2 activation process. The pore structures of the raw material and activated carbon were different. The FT-IR analysis shows the existence of functional groups as well as changes in functional groups from raw material to activated carbon. The moisture content study findings are 5.51 to 9.21% in accordance with the Indonesian National Standard (SNI) 06-3730-1995. The isothermal adsorption-desorption process is classified as type IV adsorption with hysteresis loop H4, suggesting that the pore distribution in activated carbon is mesoporous with a tiny pore width and slit-shape pore materials.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia 开发基于地理信息系统的地闪密度及其统计分析，用于马来西亚半岛输电线路的雷电性能评估

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Pertanika Journal of Science and Technology Pub Date : 2024-01-15 DOI: 10.47836/pjst.32.1.21

Nurzanariah Roslan, U. A. Ungku Amirulddin, Mohd Zainal Abidin Ab Kadir, Noradlina Abdullah

{"title":"Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia","authors":"Nurzanariah Roslan, U. A. Ungku Amirulddin, Mohd Zainal Abidin Ab Kadir, Noradlina Abdullah","doi":"10.47836/pjst.32.1.21","DOIUrl":"https://doi.org/10.47836/pjst.32.1.21","url":null,"abstract":"Malaysia is one of the world's highest lightning regions, making it an ideal location for studying lightning activities, as they cause many power outages on overhead transmission lines. This study presents ground flash density (GFD) mapping and statistical analysis of lightning flash data in Peninsular Malaysia, which will be used to evaluate the lightning performance of transmission lines. Using Geographical Information System (GIS) software, the GFD map and lightning flash data for statistical analysis were extracted. MATLAB was then used to perform statistical analysis and obtain the probability of peak lightning current using the generalized extreme value (GEV) distribution. This study analyzed six years of lightning flash data from 2012 to 2017 recorded by the Lightning Location System (LLS) and used the Peninsular Malaysia base map from the Department of Survey and Mapping Malaysia (JUPEM). Results show that the GFD mapping approach effectively classifies GFD distribution and identifies areas with high lightning activity. 81% of 4,536,380 lightning flashes were negative polarity, with a higher mean peak current magnitude than positive ones. More lightning activity was observed during the Southwest Monsoon (June-September) and the first Inter-Monsoon season (April-May). Pahang had the most lightning flashes due to its large land area. The GFD map overlaid on the transmission line demonstrated how lightning performance on the transmission line can be assessed. These findings are useful for utility and protection engineers to improve the performance of transmission lines.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139529130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0