Pub Date : 2021-11-22DOI: 10.1080/23080477.2021.1997136
L. S. Rasheed, Alaa M. Shaban, A. T. Abdulrasool
ABSTRACT The growth of plastic generation has increased exponentially with time, in particular the polyethylene terephthalate (PET) that is widely used in the human consumer industry. The objective of this study is focused on sustainability principles by minimizing the environmental pollution through reusing the plastic bottles by cutting them into small fibers to reinforce the concrete matrix to boost the performance of reinforced concrete plates. To investigate the effect of the PET fiber content on the behavior of the two-way reinforced concrete plates, four two-way reinforced concrete plates. PET fiber percentages were (0.5, 1, 1.5, 2) %, with one reference plate without fiber tested up to failure under monotonic load. All concrete plates are simply supported and tested at age 28 days and with dimensions of (800 × 800 × 50) mm. The ultimate load, load-deflection relationships, and cracking patterns of all plates are reported. The findings reveal that employing PET fibers for strengthening could boost the ultimate strength and flexural stiffness of the plates considerably. Besides, the mechanical test results reveal a decrease in compression strength with increasing PET fiber content. On the contrary, the splitting tensile strength exhibited a clear improvement with the increase in PET. Graphical abstract
{"title":"Mechanical and Structural Characteristics of PET Fiber Reinforced Concrete Plates","authors":"L. S. Rasheed, Alaa M. Shaban, A. T. Abdulrasool","doi":"10.1080/23080477.2021.1997136","DOIUrl":"https://doi.org/10.1080/23080477.2021.1997136","url":null,"abstract":"ABSTRACT The growth of plastic generation has increased exponentially with time, in particular the polyethylene terephthalate (PET) that is widely used in the human consumer industry. The objective of this study is focused on sustainability principles by minimizing the environmental pollution through reusing the plastic bottles by cutting them into small fibers to reinforce the concrete matrix to boost the performance of reinforced concrete plates. To investigate the effect of the PET fiber content on the behavior of the two-way reinforced concrete plates, four two-way reinforced concrete plates. PET fiber percentages were (0.5, 1, 1.5, 2) %, with one reference plate without fiber tested up to failure under monotonic load. All concrete plates are simply supported and tested at age 28 days and with dimensions of (800 × 800 × 50) mm. The ultimate load, load-deflection relationships, and cracking patterns of all plates are reported. The findings reveal that employing PET fibers for strengthening could boost the ultimate strength and flexural stiffness of the plates considerably. Besides, the mechanical test results reveal a decrease in compression strength with increasing PET fiber content. On the contrary, the splitting tensile strength exhibited a clear improvement with the increase in PET. Graphical abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"198 - 212"},"PeriodicalIF":2.3,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41562780","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 : 2021-11-02DOI: 10.1080/23080477.2021.1983940
A. Naufal, C. Anam, C. E. Widodo, G. Dougherty
ABSTRACT Body size is an important parameter in radiology examinations. Measurements of body size may be carried out remotely using a Kinect camera. We aim to develop a Matlab-based software that can be used to automatically measure the height and area in order to estimate the weight of a human body without direct contact. The size and depth of the image were calibrated for various object-Kinect distances. The depth image was segmented and normalized into a binary image, from which the height and area were calculated. The height and area of the body were correlated with the body weight. We analyzed the images obtained from 147 participants aged 5–70 years old and weighing 13.7–89.9 kg. The height measured using the Kinect camera had a high correlation with a ruler with R2 = 0.96 (p = 0.0096), and error percentage of 1.04%. It is also found that the height and area of the participants are well correlated with the weight of the participants with R2 of 0.453 and 0.658, respectively. A graphical user interface for automatically calculating the height and area of the human body has been successfully developed. GRAPHICAL ABSTRACT
{"title":"Automated Calculation of Height and Area of Human Body for Estimating Body Weight Using a Matlab-based Kinect Camera","authors":"A. Naufal, C. Anam, C. E. Widodo, G. Dougherty","doi":"10.1080/23080477.2021.1983940","DOIUrl":"https://doi.org/10.1080/23080477.2021.1983940","url":null,"abstract":"ABSTRACT Body size is an important parameter in radiology examinations. Measurements of body size may be carried out remotely using a Kinect camera. We aim to develop a Matlab-based software that can be used to automatically measure the height and area in order to estimate the weight of a human body without direct contact. The size and depth of the image were calibrated for various object-Kinect distances. The depth image was segmented and normalized into a binary image, from which the height and area were calculated. The height and area of the body were correlated with the body weight. We analyzed the images obtained from 147 participants aged 5–70 years old and weighing 13.7–89.9 kg. The height measured using the Kinect camera had a high correlation with a ruler with R2 = 0.96 (p = 0.0096), and error percentage of 1.04%. It is also found that the height and area of the participants are well correlated with the weight of the participants with R2 of 0.453 and 0.658, respectively. A graphical user interface for automatically calculating the height and area of the human body has been successfully developed. GRAPHICAL ABSTRACT","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"68 - 75"},"PeriodicalIF":2.3,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45936362","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 : 2021-10-26DOI: 10.1080/23080477.2021.1992823
Shrajal Gupta, Ajai Jain
ABSTRACT When we consider the real-time situation in scheduling problems, it always helps to enhance the manufacturing system and increases the system performance. In this study, the effect of five input parameters, i.e., reliability-centered preventive maintenance, percentage of machine failure (PMF), mean time to repair for random machine breakdown, due date tightness factor, and routing flexibility (RF) on stochastic flexible job shop scheduling problem (SFJSSP) under simultaneously reliability-centered preventive maintenance and random machine breakdown environment with sequence-dependent setup time is evaluated. The effects of input parameters are measured using four different performance measures, i.e., mean flow time (MFT), makespan (Cmax), mean tardiness (MT), and total setups (TS). A statistical response surface methodology is used to assess the performance measures. ANOVA analysis is used to determine the model’s suitability. The results show that PMF and RF are found as the most common significant input factors for all the performance measures. Multi-objective optimization is performed using the desirability function approach to optimize the system performance measures. It is found that the minimum value of MFT, Cmax, MT, and TS performance measures for optimum performance of the SFJSSP are predicted as 123.432, 220,561, 103.399, and 102,171, respectively, with composite desirability, D of 0.916. The confirmatory results show that the error between the predicted and experimental results is less than 5%. Moreover, considering both uncertainties with dynamic jobs arrival environment shows the study’s real-time scheduling scenario and novelty.
{"title":"Analysis of Integrated Preventive Maintenance and Machine Failure in Stochastic Flexible Job Shop Scheduling with Sequence-dependent Setup Time","authors":"Shrajal Gupta, Ajai Jain","doi":"10.1080/23080477.2021.1992823","DOIUrl":"https://doi.org/10.1080/23080477.2021.1992823","url":null,"abstract":"ABSTRACT When we consider the real-time situation in scheduling problems, it always helps to enhance the manufacturing system and increases the system performance. In this study, the effect of five input parameters, i.e., reliability-centered preventive maintenance, percentage of machine failure (PMF), mean time to repair for random machine breakdown, due date tightness factor, and routing flexibility (RF) on stochastic flexible job shop scheduling problem (SFJSSP) under simultaneously reliability-centered preventive maintenance and random machine breakdown environment with sequence-dependent setup time is evaluated. The effects of input parameters are measured using four different performance measures, i.e., mean flow time (MFT), makespan (Cmax), mean tardiness (MT), and total setups (TS). A statistical response surface methodology is used to assess the performance measures. ANOVA analysis is used to determine the model’s suitability. The results show that PMF and RF are found as the most common significant input factors for all the performance measures. Multi-objective optimization is performed using the desirability function approach to optimize the system performance measures. It is found that the minimum value of MFT, Cmax, MT, and TS performance measures for optimum performance of the SFJSSP are predicted as 123.432, 220,561, 103.399, and 102,171, respectively, with composite desirability, D of 0.916. The confirmatory results show that the error between the predicted and experimental results is less than 5%. Moreover, considering both uncertainties with dynamic jobs arrival environment shows the study’s real-time scheduling scenario and novelty.","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"175 - 197"},"PeriodicalIF":2.3,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44419179","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 : 2021-09-11DOI: 10.1080/23080477.2021.1964692
Sundaram B. Pandya, H. Jariwala
ABSTRACT The proposed article recommends a method for the solution of single and multiobjective optimal power flow without and with integrating renewable energy resources along with traditional coal-based generating stations. In the first part, the different objectives of optimal power flow problem with a single- as well as conflicting multiobjective manners are optimized. The efficiency of the recommended technique has been verified on three diverse standard test systems like IEEE-30 bus system, IEEE-57 bus system and large system like IEEE-118 bus network with the statistical analysis. The simulated results are equated to other reported meta heuristic methods. The second part consists of optimal power flow problem with the incorporation of solar and wind output energy. For forecasting solar and wind production, the proposed approach uses log-normal and Weibull probability density functions, combined. Penalties costs for undervaluation and a backup fee for oversimplification of unusual nonconventional power sources are included in the objective feature. The optimization problem is formulated using a nondominated multiobjective moth flame optimization method. To find the best compromise solution, the fuzzy decision-making technique is used. The results are confirmed using an updated IEEE-30 bus test system that includes wind and solar power plants. GRAPHICAL ABSTRACT
{"title":"Single- and Multiobjective Optimal Power Flow with Stochastic Wind and Solar Power Plants Using Moth Flame Optimization Algorithm","authors":"Sundaram B. Pandya, H. Jariwala","doi":"10.1080/23080477.2021.1964692","DOIUrl":"https://doi.org/10.1080/23080477.2021.1964692","url":null,"abstract":"ABSTRACT The proposed article recommends a method for the solution of single and multiobjective optimal power flow without and with integrating renewable energy resources along with traditional coal-based generating stations. In the first part, the different objectives of optimal power flow problem with a single- as well as conflicting multiobjective manners are optimized. The efficiency of the recommended technique has been verified on three diverse standard test systems like IEEE-30 bus system, IEEE-57 bus system and large system like IEEE-118 bus network with the statistical analysis. The simulated results are equated to other reported meta heuristic methods. The second part consists of optimal power flow problem with the incorporation of solar and wind output energy. For forecasting solar and wind production, the proposed approach uses log-normal and Weibull probability density functions, combined. Penalties costs for undervaluation and a backup fee for oversimplification of unusual nonconventional power sources are included in the objective feature. The optimization problem is formulated using a nondominated multiobjective moth flame optimization method. To find the best compromise solution, the fuzzy decision-making technique is used. The results are confirmed using an updated IEEE-30 bus test system that includes wind and solar power plants. GRAPHICAL ABSTRACT","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"77 - 117"},"PeriodicalIF":2.3,"publicationDate":"2021-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44522028","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 : 2021-09-06DOI: 10.1080/23080477.2021.1975074
Sumit Kumar, G. G. Tejani, N. Pholdee, S. Bureerat, Pradeep Jangir
ABSTRACT Teaching–learning-based optimization is a specific parameter-free and powerful algorithm. However, in large and diverse spaces it often gets trapped in local optima and faces criticism of premature convergence particularly while solving multi-objective problems. The present work proposed a novel multi-objective teaching–learning-based optimization (MOTLBO) based on the framework of non-dominated sorting and solution storage in an external archive. These techniques improve the algorithm’s speed of search and convergence rate. Moreover, this mechanism also assists in obtaining a Pareto optimal set near to the true Pareto solutions while simultaneously maintaining the diversity among non-dominated solutions within one run. The present work proposed a novel MOTLBO. To determine feasibility for practical applications, perceived structure design problems are exposed to multiple and diverse weight minimization and maximization of nodal deformation objectives. The suggested algorithm is employed to five challenging optimization issues of the structure having discrete design variables and subject to multiple constraints. For a performance check, the suggested algorithm is contrasted with two prominent multi-objective algorithms. The performance gauge for all considered test examples is the Pareto front hypervolume and front spacing-to-extent test. MOTLBO shows its promise with coherence and diversification of solutions for producing the desired Pareto fronts. Graphical Abstract
{"title":"Multi-Objective Teaching-Learning-Based Optimization for Structure Optimization","authors":"Sumit Kumar, G. G. Tejani, N. Pholdee, S. Bureerat, Pradeep Jangir","doi":"10.1080/23080477.2021.1975074","DOIUrl":"https://doi.org/10.1080/23080477.2021.1975074","url":null,"abstract":"ABSTRACT Teaching–learning-based optimization is a specific parameter-free and powerful algorithm. However, in large and diverse spaces it often gets trapped in local optima and faces criticism of premature convergence particularly while solving multi-objective problems. The present work proposed a novel multi-objective teaching–learning-based optimization (MOTLBO) based on the framework of non-dominated sorting and solution storage in an external archive. These techniques improve the algorithm’s speed of search and convergence rate. Moreover, this mechanism also assists in obtaining a Pareto optimal set near to the true Pareto solutions while simultaneously maintaining the diversity among non-dominated solutions within one run. The present work proposed a novel MOTLBO. To determine feasibility for practical applications, perceived structure design problems are exposed to multiple and diverse weight minimization and maximization of nodal deformation objectives. The suggested algorithm is employed to five challenging optimization issues of the structure having discrete design variables and subject to multiple constraints. For a performance check, the suggested algorithm is contrasted with two prominent multi-objective algorithms. The performance gauge for all considered test examples is the Pareto front hypervolume and front spacing-to-extent test. MOTLBO shows its promise with coherence and diversification of solutions for producing the desired Pareto fronts. Graphical Abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"56 - 67"},"PeriodicalIF":2.3,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45947248","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 : 2021-08-31DOI: 10.1080/23080477.2021.1972913
Nand Jee Kanu, S. Bapat, Harshad Deodhar, E. Gupta, G. Singh, U. K. Vates, Girish C. Verma, Vivek Pandey
ABSTRACT Years after the discovery of graphene and carbon nanotubes (CNTs) mechanical engineers, scientists have been figuring out various ways to incorporate these with the resin without forcing the companies to reinvent their production processes. As a result, CNTs are now progressing in aerospace as well as high-performance sports equipment and into the bodies of boats, cars and planes. CNT reinforced composite material is light as well as strong and using proper shape and various types of CNTs, we can improve mechanical properties. Thus, there is a need to analyze and compare the methods, which are used to manufacture these smart materials. Through this review article different methods of CNT reinforced composites have been compared on account of their applications, time for preparation, cost of fabrication, matrix element, mechanical, electrical, chemical properties enhancement, etc. Various manufacturing methods such as cross-linked polymerization, electrochemical co-deposition, resin film infusion, vacuum assisted resin transfer molding, etc., have been covered in this review article. It is believed that this will broaden the perspective while choosing the optimum method to be used in future applications. Graphical abstract
{"title":"An Insight into Processing and Properties of Smart Carbon Nanotubes Reinforced Nanocomposites","authors":"Nand Jee Kanu, S. Bapat, Harshad Deodhar, E. Gupta, G. Singh, U. K. Vates, Girish C. Verma, Vivek Pandey","doi":"10.1080/23080477.2021.1972913","DOIUrl":"https://doi.org/10.1080/23080477.2021.1972913","url":null,"abstract":"ABSTRACT Years after the discovery of graphene and carbon nanotubes (CNTs) mechanical engineers, scientists have been figuring out various ways to incorporate these with the resin without forcing the companies to reinvent their production processes. As a result, CNTs are now progressing in aerospace as well as high-performance sports equipment and into the bodies of boats, cars and planes. CNT reinforced composite material is light as well as strong and using proper shape and various types of CNTs, we can improve mechanical properties. Thus, there is a need to analyze and compare the methods, which are used to manufacture these smart materials. Through this review article different methods of CNT reinforced composites have been compared on account of their applications, time for preparation, cost of fabrication, matrix element, mechanical, electrical, chemical properties enhancement, etc. Various manufacturing methods such as cross-linked polymerization, electrochemical co-deposition, resin film infusion, vacuum assisted resin transfer molding, etc., have been covered in this review article. It is believed that this will broaden the perspective while choosing the optimum method to be used in future applications. Graphical abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"40 - 55"},"PeriodicalIF":2.3,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49461260","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 : 2021-08-30DOI: 10.1080/23080477.2021.1972914
T. S. Mohamed, S. Aydin
ABSTRACT Internet of Things (IoT) is a modern prototype that merges physical entities affiliated with a variety of fields, like industrial tasks, firm automation, mortal fitness, and habitat observance with the internet. It intensifies the occupancy of Internet-linked objects in everyday tasks, resulting in issues linked to security besides usefulness. For many years, Intrusion Detection Systems (IDS) have proven to be advantageous for guarding information systems and networks. Conversely, enacting old IDS procedures on IoT is unrealistic owing to some specific elements. For instance, specific protocol stacks, strained-asset gadgets, and measures. This study furnishes inspection of IDS inquiry achievements for IoT. The objective entails the establishment of key biases, general drawbacks, and inquiry guidelines. Grouping of the suggested IDSs was undertaken in the state-of-art regarding the subsequent qualities: discernment technique, IDS placement procedure, security peril, and confirmation procedure. The paper further considered every attribute shortcoming, exploring views of material with suggestions on certain IDS procedures for IoT or inaugurating attack distinguishing procedures for IoT menaces with the possibility of being fixed in IDSs. Graphical abstract
{"title":"IoT-Based Intrusion Detection Systems: A Review","authors":"T. S. Mohamed, S. Aydin","doi":"10.1080/23080477.2021.1972914","DOIUrl":"https://doi.org/10.1080/23080477.2021.1972914","url":null,"abstract":"ABSTRACT Internet of Things (IoT) is a modern prototype that merges physical entities affiliated with a variety of fields, like industrial tasks, firm automation, mortal fitness, and habitat observance with the internet. It intensifies the occupancy of Internet-linked objects in everyday tasks, resulting in issues linked to security besides usefulness. For many years, Intrusion Detection Systems (IDS) have proven to be advantageous for guarding information systems and networks. Conversely, enacting old IDS procedures on IoT is unrealistic owing to some specific elements. For instance, specific protocol stacks, strained-asset gadgets, and measures. This study furnishes inspection of IDS inquiry achievements for IoT. The objective entails the establishment of key biases, general drawbacks, and inquiry guidelines. Grouping of the suggested IDSs was undertaken in the state-of-art regarding the subsequent qualities: discernment technique, IDS placement procedure, security peril, and confirmation procedure. The paper further considered every attribute shortcoming, exploring views of material with suggestions on certain IDS procedures for IoT or inaugurating attack distinguishing procedures for IoT menaces with the possibility of being fixed in IDSs. Graphical abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"265 - 282"},"PeriodicalIF":2.3,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49652679","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 : 2021-08-13DOI: 10.1080/23080477.2021.1964693
Sundaram B. Pandya, Pradeep Jangir, Indrajit N. Trivedi
ABSTRACT Optimal power flow (OPF) is one of the complex optimization problems in the power system domain. The OPF problem becomes much more challenging when renewable energy sources are added to the power system grid, which is unpredictable and volatile. Also, FACTS (flexible AC transmission system) devices are becoming more common in modern power systems to help ease network congestion and minimize demand. This paper aims to solve the single and multi-objective OPF by combining stochastic wind power with various types of FACTS devices such as static VAR compensator, thyristor-controlled series compensator, and thyristor-controlled phase shifter. To model stochastic wind energy, Weibull probability density functions have been used. The locations and ratings of the FACTS devices are also designed to reduce the system’s total generation cost. A non-dominated multi-objective moth flame optimization technique is used for the optimization issue. The fuzzy decision-making approach is applied to the best compromise solution. The results are validated through a modified IEEE-30 bus test system and compared with three newly developed algorithms. Graphical abstract
{"title":"Multi-objective Moth Flame Optimizer: A Fundamental Visions for Wind Power Integrated Optimal Power Flow with FACTS Devices","authors":"Sundaram B. Pandya, Pradeep Jangir, Indrajit N. Trivedi","doi":"10.1080/23080477.2021.1964693","DOIUrl":"https://doi.org/10.1080/23080477.2021.1964693","url":null,"abstract":"ABSTRACT Optimal power flow (OPF) is one of the complex optimization problems in the power system domain. The OPF problem becomes much more challenging when renewable energy sources are added to the power system grid, which is unpredictable and volatile. Also, FACTS (flexible AC transmission system) devices are becoming more common in modern power systems to help ease network congestion and minimize demand. This paper aims to solve the single and multi-objective OPF by combining stochastic wind power with various types of FACTS devices such as static VAR compensator, thyristor-controlled series compensator, and thyristor-controlled phase shifter. To model stochastic wind energy, Weibull probability density functions have been used. The locations and ratings of the FACTS devices are also designed to reduce the system’s total generation cost. A non-dominated multi-objective moth flame optimization technique is used for the optimization issue. The fuzzy decision-making approach is applied to the best compromise solution. The results are validated through a modified IEEE-30 bus test system and compared with three newly developed algorithms. Graphical abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"118 - 141"},"PeriodicalIF":2.3,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48165180","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 : 2021-07-18DOI: 10.1080/23080477.2021.1949882
Masoud Dashtdar, M. Bajaj, S. M. S. Hosseinimoghadam
ABSTRACT Optimal use of microgrids for efficient and economic management of energy resources is of special importance. At the residential level, energy costs can be reduced by using the concepts of price-based intelligent control (response to demand). In this paper, an energy management problem that proposed to decrease the cost of operating a residential microgrid with Micro-CHP equipped by a smart meter. The problem objective function formulation in the form of short-term production planning is based on the total cost of Micro-CHP gas consumption and auxiliary burner and the cost of electricity purchased from the network or sell to it in 24 hours. The aim is to present the ideal energy management strategy of the resources available based on smart control, and due to the non-linear problem, GAMS software by Mixed Integer Non-Linear Programming (MINLP) was used to solve the problem. Finally, the proposed method is implemented on the sample microgrid and the results are compared with Heat-Led Control, the effect of battery on microgrid participation in load response programs was demonstrated. Also, the effect of different tariffs of the market price on the cost of microgrid operation and how to exchange with the grid in different cases are evaluated that results showed the proper performance of the proposed method. GRAPHICAL ABSTRACT
微电网的优化利用对能源资源进行高效、经济的管理具有特殊的重要性。在住宅层面，可以通过使用基于价格的智能控制（对需求的响应）概念来降低能源成本。在本文中，提出了一个能源管理问题，该问题旨在降低配备智能电表的微型热电联产住宅微电网的运营成本。短期生产计划形式的问题目标函数公式是基于微型热电联产用气和辅助燃烧器的总成本以及24小时内从网络购买或出售的电力成本。目的是提出基于智能控制的可用资源的理想能量管理策略，并针对非线性问题，使用混合整数非线性规划（MINLP）的GAMS软件来解决该问题。最后，在样本微电网上实现了所提出的方法，并将结果与Heat Led Control进行了比较，证明了电池对微电网参与负载响应程序的影响。此外，还评估了市场价格的不同电价对微电网运营成本的影响，以及在不同情况下如何与电网交换，结果表明了所提出方法的正确性能。图形摘要
{"title":"Design of Optimal Energy Management System in a Residential Microgrid Based on Smart Control","authors":"Masoud Dashtdar, M. Bajaj, S. M. S. Hosseinimoghadam","doi":"10.1080/23080477.2021.1949882","DOIUrl":"https://doi.org/10.1080/23080477.2021.1949882","url":null,"abstract":"ABSTRACT Optimal use of microgrids for efficient and economic management of energy resources is of special importance. At the residential level, energy costs can be reduced by using the concepts of price-based intelligent control (response to demand). In this paper, an energy management problem that proposed to decrease the cost of operating a residential microgrid with Micro-CHP equipped by a smart meter. The problem objective function formulation in the form of short-term production planning is based on the total cost of Micro-CHP gas consumption and auxiliary burner and the cost of electricity purchased from the network or sell to it in 24 hours. The aim is to present the ideal energy management strategy of the resources available based on smart control, and due to the non-linear problem, GAMS software by Mixed Integer Non-Linear Programming (MINLP) was used to solve the problem. Finally, the proposed method is implemented on the sample microgrid and the results are compared with Heat-Led Control, the effect of battery on microgrid participation in load response programs was demonstrated. Also, the effect of different tariffs of the market price on the cost of microgrid operation and how to exchange with the grid in different cases are evaluated that results showed the proper performance of the proposed method. GRAPHICAL ABSTRACT","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"25 - 39"},"PeriodicalIF":2.3,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23080477.2021.1949882","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49582692","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 : 2021-06-27DOI: 10.1080/23080477.2021.1940752
Nidhi Jain, E. Gupta, Nand Jee Kanu
ABSTRACT Carbon nanotubes diverse applications have been discussed in the present study. Carbon nanotubes are a promising material in all façades of life, be it environment, electrical, electronics, biomedical energy, food technology applications, etc. Carbon nanotubes open new avenues to improve the environment, control pollution, and used in various fields. Increase in the population, urbanization and industrialization create several types of pollution. Carbon nanotubes solve various problems including environmental issues, pollution, bio-medicals, etc. It becomes an inevitable material for the present and future. In this review article, carbon nanotube applications to solve water purification, water disinfection, electrical and electronic applications, biomedical energy, or in-air purification have been discussed. A plethora of carbon nanotube applications in various fields have been discussed in articles covering the fields of water purification, biomedical applications in electrical/electronic applications, agricultural yields, etc. Eleven different case studies have been discussed in the paper and testimony of the use of CNTs in various fields was given by the patent trend. Graphical Abstract
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