Activated carbon is widely used for its diverse adsorptive abilities, with a vast range of current and emerging uses. This study developed a data set for high-performing activated carbon, its adsorption abilities with differing adsorbents, and an understanding of what deviations are present compared to the widely used adsorption models. This study included the construction of Tóth isotherms in varying conditions. Building a strong isotherm correlation is desired, with an understanding of the relationship between the pores of the activated carbon sample, operating parameters, and the adsorbent. The present data could complement efforts in designing adsorbed natural gas storage systems. Experimental data was collected using a Constant Volume Variable Pressure (CVVP) apparatus, consisting of a temperature-regulated vessel containing the activated carbon sample dosed with varying adsorbents through a controlled dosing vessel. Analysis of the derived data gave a well-fitted Tóth adsorption isotherm, giving the maximum specific adsorption capacity of the activated carbon to be 2.28 g of propane per gram of activated carbon with a standard error of regression
{"title":"Experimental study of gas adsorption using high-performance activated carbon: Propane adsorption isotherm","authors":"T. Aprianti, Harrini Mutiara Hapsari, Debby Yulinar Permata, Selvia Aprilyanti, Justin Sobey, Kallan Pham, Srinivasan Kandadai, Hui Tong Chua","doi":"10.24036/teknomekanik.v7i1.28672","DOIUrl":"https://doi.org/10.24036/teknomekanik.v7i1.28672","url":null,"abstract":"Activated carbon is widely used for its diverse adsorptive abilities, with a vast range of current and emerging uses. This study developed a data set for high-performing activated carbon, its adsorption abilities with differing adsorbents, and an understanding of what deviations are present compared to the widely used adsorption models. This study included the construction of Tóth isotherms in varying conditions. Building a strong isotherm correlation is desired, with an understanding of the relationship between the pores of the activated carbon sample, operating parameters, and the adsorbent. The present data could complement efforts in designing adsorbed natural gas storage systems. Experimental data was collected using a Constant Volume Variable Pressure (CVVP) apparatus, consisting of a temperature-regulated vessel containing the activated carbon sample dosed with varying adsorbents through a controlled dosing vessel. Analysis of the derived data gave a well-fitted Tóth adsorption isotherm, giving the maximum specific adsorption capacity of the activated carbon to be 2.28 g of propane per gram of activated carbon with a standard error of regression","PeriodicalId":507298,"journal":{"name":"Teknomekanik","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141366063","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}
Pub Date : 2024-06-04DOI: 10.24036/teknomekanik.v7i1.28872
Thaeer Mueen Sahib, R. Mohd-Mokhtar, Azleena Mohd-Kassim
The waste collection stage generated 70% of the cost of the total Municipal Solid Waste (MSW) management system. Therefore, choosing the most affordable waste collection method is essential to accurately estimate the waste collection and transportation costs, thus selecting the required vehicle capacity. The study aims to design a waste collection system for calculating waste collection and transportation costs using a systematic framework that includes Hybridized Ant Colony Optimization (HACO) with Sequential Variable Neighborhood Search Change Step (SVNSCS) and Sequential Variable Neighborhood Decent (SVND). The framework addresses a Dynamic Capacity of Vehicle Routing Problem (DCVRP) and improves ACO's ability in exploration and exploitation stages. The objectives are to minimize the cost of travel distance and arrival time formulated in a mathematical model and to design a new strategy for eliminating the sub-tour problem in the following steps: (1) minimize the number of routes assigned, (2) increase the amount of waste in the vehicle capacity, and (3) define the best amount of waste allowed in vehicle capacity. The waste collection system compared HACO with ACO across four benchmark datasets. The results indicate HACO outperformance ACO at 100%, 91%, 100%, and 87%, respectively. The visualization results demonstrated that HACO has fast convergence and can be considered another essential tool for route optimization in the waste collection system.
{"title":"A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system","authors":"Thaeer Mueen Sahib, R. Mohd-Mokhtar, Azleena Mohd-Kassim","doi":"10.24036/teknomekanik.v7i1.28872","DOIUrl":"https://doi.org/10.24036/teknomekanik.v7i1.28872","url":null,"abstract":"The waste collection stage generated 70% of the cost of the total Municipal Solid Waste (MSW) management system. Therefore, choosing the most affordable waste collection method is essential to accurately estimate the waste collection and transportation costs, thus selecting the required vehicle capacity. The study aims to design a waste collection system for calculating waste collection and transportation costs using a systematic framework that includes Hybridized Ant Colony Optimization (HACO) with Sequential Variable Neighborhood Search Change Step (SVNSCS) and Sequential Variable Neighborhood Decent (SVND). The framework addresses a Dynamic Capacity of Vehicle Routing Problem (DCVRP) and improves ACO's ability in exploration and exploitation stages. The objectives are to minimize the cost of travel distance and arrival time formulated in a mathematical model and to design a new strategy for eliminating the sub-tour problem in the following steps: (1) minimize the number of routes assigned, (2) increase the amount of waste in the vehicle capacity, and (3) define the best amount of waste allowed in vehicle capacity. The waste collection system compared HACO with ACO across four benchmark datasets. The results indicate HACO outperformance ACO at 100%, 91%, 100%, and 87%, respectively. The visualization results demonstrated that HACO has fast convergence and can be considered another essential tool for route optimization in the waste collection system.","PeriodicalId":507298,"journal":{"name":"Teknomekanik","volume":"224 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386973","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}
Pub Date : 2023-12-20DOI: 10.24036/teknomekanik.v6i2.27972
Andre Kurniawan, Remon Lapisa, Muhammad Yasep Setiawan, Bulkia Rahim, Budi Syahri
: Currently, an influential factor contributing to thermal comfort home design is the incorporation of energy-efficient passive design principles. It is exemplified by strategic window placement, the utilization of thermally efficient materials, and effective insulation. It exerts a substantial influence on thermal comfort and electrical consumption. This paper examines the effect of building shape and window-to-wall ratio (WWR) on thermal comfort and lighting energy consumption in residential houses in tropical climates. The lighting electricity and the adaptive thermal discomfort hours of 30 different models of houses were obtained using OpenStudio and EnergyPlus simulation software. The models were developed for three building shapes (square, rectangle, and L-shaped), and each model was varied in five models of window-to-wall ratios. Results indicate that the square-shaped model with a WWR of 10% will provide the lowest energy consumption in thermal comfort had 420.45 kWh/m2. On the other side, the lowest energy consumption in lighting is the square-shaped model with a WWR of 50% had 507.95 kWh/m2. Thus, the recommendation is to use the square-shaped house that represents the most efficient air conditioning system while the other WWR set also produce the most natural luminaire. It is because the percentage of WWR increased will result in more energy consumption in air cooling but slightly lower energy consumption in lighting. However, when considering aesthetics and freshness, the WWR of the 50% model will offer a better deal.
{"title":"Comparison of variation in the building shapes and the window-to-wall ratio by concerning energy consumption for thermal comfort and lighting","authors":"Andre Kurniawan, Remon Lapisa, Muhammad Yasep Setiawan, Bulkia Rahim, Budi Syahri","doi":"10.24036/teknomekanik.v6i2.27972","DOIUrl":"https://doi.org/10.24036/teknomekanik.v6i2.27972","url":null,"abstract":": Currently, an influential factor contributing to thermal comfort home design is the incorporation of energy-efficient passive design principles. It is exemplified by strategic window placement, the utilization of thermally efficient materials, and effective insulation. It exerts a substantial influence on thermal comfort and electrical consumption. This paper examines the effect of building shape and window-to-wall ratio (WWR) on thermal comfort and lighting energy consumption in residential houses in tropical climates. The lighting electricity and the adaptive thermal discomfort hours of 30 different models of houses were obtained using OpenStudio and EnergyPlus simulation software. The models were developed for three building shapes (square, rectangle, and L-shaped), and each model was varied in five models of window-to-wall ratios. Results indicate that the square-shaped model with a WWR of 10% will provide the lowest energy consumption in thermal comfort had 420.45 kWh/m2. On the other side, the lowest energy consumption in lighting is the square-shaped model with a WWR of 50% had 507.95 kWh/m2. Thus, the recommendation is to use the square-shaped house that represents the most efficient air conditioning system while the other WWR set also produce the most natural luminaire. It is because the percentage of WWR increased will result in more energy consumption in air cooling but slightly lower energy consumption in lighting. However, when considering aesthetics and freshness, the WWR of the 50% model will offer a better deal.","PeriodicalId":507298,"journal":{"name":"Teknomekanik","volume":"36 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169755","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：