Computers often experience damage to the CPU, especially the mainboard and processor, due to several factors, including human error or excessive use and environmental conditions. Component placement is frequently utilized to improve the CPU room conditions to keep it cool. This research numerically investigates desktop PC processors and heatsink configurations for mechanical engineering vocational learning. The kind of metal material, number of fans, and fan arrangement were all tested at three levels. The computer components in this research are the CPU, heatsink, fan, and processor—a 65-watt Thermal Design Power (TDP) CPU with a constant air intake speed of 5 m/s. The criteria investigated include metal type (steel, aluminum, and copper), cooling design (horizontal, vertical, and mixed), and fan count (2-4-8). The methods used in this research are the Computational Fluid Dynamics (CFD) method and the Taguchi method to examine fluid flow characteristics and temperature. Numerical results show the maximum temperature is 123 °C in the vertical, eight-fan, and steel configurations. Minimum temperature 39.22 °C in mixed configuration, eight fans, and copper. These findings reveal that the kind of metal material, number of fans, and fan arrangement all impact the CPU cooler and heatsink configuration. However, the Taguchi method can provide a more detailed understanding of configuration.
{"title":"Numerical study optimation design of CPU cooling system analysis using CFD method","authors":"Fajar Dwi Yudanto, Rochmad Novian Inderanata, Arif Bintoro Johan, Setuju Setuju","doi":"10.31763/aet.v2i3.1207","DOIUrl":"https://doi.org/10.31763/aet.v2i3.1207","url":null,"abstract":"Computers often experience damage to the CPU, especially the mainboard and processor, due to several factors, including human error or excessive use and environmental conditions. Component placement is frequently utilized to improve the CPU room conditions to keep it cool. This research numerically investigates desktop PC processors and heatsink configurations for mechanical engineering vocational learning. The kind of metal material, number of fans, and fan arrangement were all tested at three levels. The computer components in this research are the CPU, heatsink, fan, and processor—a 65-watt Thermal Design Power (TDP) CPU with a constant air intake speed of 5 m/s. The criteria investigated include metal type (steel, aluminum, and copper), cooling design (horizontal, vertical, and mixed), and fan count (2-4-8). The methods used in this research are the Computational Fluid Dynamics (CFD) method and the Taguchi method to examine fluid flow characteristics and temperature. Numerical results show the maximum temperature is 123 °C in the vertical, eight-fan, and steel configurations. Minimum temperature 39.22 °C in mixed configuration, eight fans, and copper. These findings reveal that the kind of metal material, number of fans, and fan arrangement all impact the CPU cooler and heatsink configuration. However, the Taguchi method can provide a more detailed understanding of configuration.","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135042538","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}
David Caballero Mariscal, María Pinto, Alicia Segura
This paper aims at develop, implement and evaluate the effectiveness of the MobIlCaps mobile application. On the basis of cognitive, constructivist and connectivist theories, it has been developed on an instructional design model, based on the user experience. In the context of mobile teaching in higher education, an innovative application is proposed for the self-learning of information literacy by students of Social Sciences. With the collaboration of both teachers and students, the application was developed, following the ADDIE model, through the phases of analysis, design, development, implementation and evaluation. The last phase provided the improvement proposals for the optimization of the final version of the tool, a progressive open access website. The application is organized into six capsules that follow the framework of ACRL (2015): learn, search, evaluate, create, research and disseminate. It includes multimedia resources in the form of microcontents that highlight readability, organization and visualization as characteristics. The app focuses on the user and is a relevant instrument to facilitate teaching The different analyses, followed by proposals for improvement and revisions, led to the achievement of a very useful application for students, teachers and library
{"title":"Development and implementation of the MobILcaps application for the teaching and development of information literacy in Higher Education","authors":"David Caballero Mariscal, María Pinto, Alicia Segura","doi":"10.31763/aet.v2i3.1145","DOIUrl":"https://doi.org/10.31763/aet.v2i3.1145","url":null,"abstract":"This paper aims at develop, implement and evaluate the effectiveness of the MobIlCaps mobile application. On the basis of cognitive, constructivist and connectivist theories, it has been developed on an instructional design model, based on the user experience. In the context of mobile teaching in higher education, an innovative application is proposed for the self-learning of information literacy by students of Social Sciences. With the collaboration of both teachers and students, the application was developed, following the ADDIE model, through the phases of analysis, design, development, implementation and evaluation. The last phase provided the improvement proposals for the optimization of the final version of the tool, a progressive open access website. The application is organized into six capsules that follow the framework of ACRL (2015): learn, search, evaluate, create, research and disseminate. It includes multimedia resources in the form of microcontents that highlight readability, organization and visualization as characteristics. The app focuses on the user and is a relevant instrument to facilitate teaching The different analyses, followed by proposals for improvement and revisions, led to the achievement of a very useful application for students, teachers and library","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135697148","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}
Supervised classifiers require a lot of data with accurate labels to learn to recognize chest X-ray images (CXR). However, manually labeling an extensive collection of CXR images is time-consuming and costly. To address this issue, a method for the semi-supervised labelling of extensive collections of CXR images is proposed leveraging unsupervised clustering with minimum expert knowledge to generate ground truth images. The proposed methodology entails: using unsupervised clustering techniques such as K-Means and Self-Organizing Maps. Second, the images are fed to five different feature vectors to utilize the potential differences between features to their full advantage. Third, each data point gets the label of the cluster’s center to which it belongs. Finally, a majority vote is used to decide the ground truth image. The number of clusters created by the method chosen strictly limits the amount of human involvement. To evaluate the effectiveness of the proposed method, experiments were conducted on two publicly available CXR datasets, namely VinDR-CXR and Montgomery datasets. The experiments showed that, for a KNN classifier, manually labeling only 1% (VinDr-CXR), or 10% (Montgomery) of the training data, gives a similar performance as labeling the whole dataset. The proposed methodology efficiently generates ground-truth images from publicly available CXR datasets. To our knowledge, this is the first study to use the VinDr-CXR and Montgomery datasets for ground truth image generation. Extensive experimental analysis using machine learning and statistical techniques shows that the proposed methodology efficiently generates ground truth images from CXR datasets.
{"title":"Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation","authors":"Victor Ikechukwu Agughasi, Murali Srinivasiah","doi":"10.31763/aet.v2i3.1143","DOIUrl":"https://doi.org/10.31763/aet.v2i3.1143","url":null,"abstract":"Supervised classifiers require a lot of data with accurate labels to learn to recognize chest X-ray images (CXR). However, manually labeling an extensive collection of CXR images is time-consuming and costly. To address this issue, a method for the semi-supervised labelling of extensive collections of CXR images is proposed leveraging unsupervised clustering with minimum expert knowledge to generate ground truth images. The proposed methodology entails: using unsupervised clustering techniques such as K-Means and Self-Organizing Maps. Second, the images are fed to five different feature vectors to utilize the potential differences between features to their full advantage. Third, each data point gets the label of the cluster’s center to which it belongs. Finally, a majority vote is used to decide the ground truth image. The number of clusters created by the method chosen strictly limits the amount of human involvement. To evaluate the effectiveness of the proposed method, experiments were conducted on two publicly available CXR datasets, namely VinDR-CXR and Montgomery datasets. The experiments showed that, for a KNN classifier, manually labeling only 1% (VinDr-CXR), or 10% (Montgomery) of the training data, gives a similar performance as labeling the whole dataset. The proposed methodology efficiently generates ground-truth images from publicly available CXR datasets. To our knowledge, this is the first study to use the VinDr-CXR and Montgomery datasets for ground truth image generation. Extensive experimental analysis using machine learning and statistical techniques shows that the proposed methodology efficiently generates ground truth images from CXR datasets.","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135831392","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}
S. O. Effiom, P. O. Effiom, Raymond Akwagiobe, Patrick O Odu
By creating hybrid energy systems and obtaining a framework that equally satisfies a continuous operation for renewable energy technology, this study presents renewable and sustainable energy options as an integral method to energy transitioning from non-renewable to renewable energy utilization in Cross River State, Nigeria. For a needed load of 2424.25 kWh/day in Cross River State, this study focused on proposing a designed hybrid energy system (HES) nexus, mitigating CO2, and appraisal of the technical and economic viability. To accomplish this, HOMER software was utilized in simulating the ideal components that suggested a HES nexus. The software enabled the selection of the optimal HES using various renewable energy sources since it predicts future electrical demand, wind speed, solar irradiation, and temperature. Economic results obtained showed that the proposed HES's Levelized cost of energy (LCOE), net present cost (NPC), and operating cost (OC) were $0.89/kWh, $10,138,702 and $134,084.37 respectively. Further technical appraisal showed that the renewable energy conversion systems (RECs) make up 78.74% of the proposed HES. The photovoltaic (PV) arrays were primarily responsible for the hybrid energy system's electricity output. The annual electrical energy output was 1,984,111kWh (89.4%), produced by the PV arrays. The generic fuel cell produced the least, at 29,957kWh/year, accounting for just 1.35% of the total electricity produced. However, the wind power plant produced 205,365kWh/year annually. Furthermore, comparing the HES with diesel-powered generators, the system achieves a net-zero carbon emission status. Therefore, it has proven to be the most reliable energy as it will solve the problem of energy demand and reduces carbon emissions in Cross River State, Nigeria
{"title":"Technical and economic appraisal for harnessing a proposed hybrid energy system nexus for power generation and CO2 mitigation in Cross River State, Nigeria","authors":"S. O. Effiom, P. O. Effiom, Raymond Akwagiobe, Patrick O Odu","doi":"10.31763/aet.v2i2.1075","DOIUrl":"https://doi.org/10.31763/aet.v2i2.1075","url":null,"abstract":"By creating hybrid energy systems and obtaining a framework that equally satisfies a continuous operation for renewable energy technology, this study presents renewable and sustainable energy options as an integral method to energy transitioning from non-renewable to renewable energy utilization in Cross River State, Nigeria. For a needed load of 2424.25 kWh/day in Cross River State, this study focused on proposing a designed hybrid energy system (HES) nexus, mitigating CO2, and appraisal of the technical and economic viability. To accomplish this, HOMER software was utilized in simulating the ideal components that suggested a HES nexus. The software enabled the selection of the optimal HES using various renewable energy sources since it predicts future electrical demand, wind speed, solar irradiation, and temperature. Economic results obtained showed that the proposed HES's Levelized cost of energy (LCOE), net present cost (NPC), and operating cost (OC) were $0.89/kWh, $10,138,702 and $134,084.37 respectively. Further technical appraisal showed that the renewable energy conversion systems (RECs) make up 78.74% of the proposed HES. The photovoltaic (PV) arrays were primarily responsible for the hybrid energy system's electricity output. The annual electrical energy output was 1,984,111kWh (89.4%), produced by the PV arrays. The generic fuel cell produced the least, at 29,957kWh/year, accounting for just 1.35% of the total electricity produced. However, the wind power plant produced 205,365kWh/year annually. Furthermore, comparing the HES with diesel-powered generators, the system achieves a net-zero carbon emission status. Therefore, it has proven to be the most reliable energy as it will solve the problem of energy demand and reduces carbon emissions in Cross River State, Nigeria","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73112698","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}
Hamed Rahimpour, V. Ghiasi, A. Fahmi, Yaser Marabi
Due to the need of the construction industry to implement structures with special and complex designs, mass customization with the lowest cost, especially reducing the labor cost as well as the amount of waste and materials used, the use of concrete 3D printing can be the appropriate solution to these requirements fulfill these options. As a result, a comprehensive and practical study of the major 3D printing methods and their development in the construction industry was carried out in this study. In addition, the use of OPC-based materials and geopolymer-based materials was reviewed and compared due to the development of the materials industry and the advantages and disadvantages of using different types of cementitious materials in the 3D printing of concrete.
{"title":"Geopolymer vs ordinary portland cement: review of the 3-d printing of concrete","authors":"Hamed Rahimpour, V. Ghiasi, A. Fahmi, Yaser Marabi","doi":"10.31763/aet.v2i2.1010","DOIUrl":"https://doi.org/10.31763/aet.v2i2.1010","url":null,"abstract":"Due to the need of the construction industry to implement structures with special and complex designs, mass customization with the lowest cost, especially reducing the labor cost as well as the amount of waste and materials used, the use of concrete 3D printing can be the appropriate solution to these requirements fulfill these options. As a result, a comprehensive and practical study of the major 3D printing methods and their development in the construction industry was carried out in this study. In addition, the use of OPC-based materials and geopolymer-based materials was reviewed and compared due to the development of the materials industry and the advantages and disadvantages of using different types of cementitious materials in the 3D printing of concrete.","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80138741","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}
Among Non-Volatile Memories (NVMs), PCMs are considered the best alternative to DRAM (dynamic random-access memories). As a result of its superior performance and scalability, there are several advantages over DRAM, including lower leakage and energy consumption, higher cell number, and smaller cells. This kind of memory does, however, suffer from a long write latency. In this article, we present a technique to reduce write latency by reducing the number of SET operations. The proposed method is an improved Write Time Speed-up (WTS) code scheme. In the proposed scheme, a new code based on hamming weight is given, and an appropriate algorithm is written to reduce the number of SET operations. Compared with current methods, the proposed scheme decreased SET and RESET operations by 3.9 percent, SET operations by 3.3 percent, and power consumption by 2.6 percent. Visual Basic 6 and GEM 5 simulations are used to simulate the suggested method
{"title":"Implementation of a new coding scheme for improving the SET operations in Phase Change Memory (PCM)","authors":"M. Mohseni","doi":"10.31763/aet.v2i2.1006","DOIUrl":"https://doi.org/10.31763/aet.v2i2.1006","url":null,"abstract":"Among Non-Volatile Memories (NVMs), PCMs are considered the best alternative to DRAM (dynamic random-access memories). As a result of its superior performance and scalability, there are several advantages over DRAM, including lower leakage and energy consumption, higher cell number, and smaller cells. This kind of memory does, however, suffer from a long write latency. In this article, we present a technique to reduce write latency by reducing the number of SET operations. The proposed method is an improved Write Time Speed-up (WTS) code scheme. In the proposed scheme, a new code based on hamming weight is given, and an appropriate algorithm is written to reduce the number of SET operations. Compared with current methods, the proposed scheme decreased SET and RESET operations by 3.9 percent, SET operations by 3.3 percent, and power consumption by 2.6 percent. Visual Basic 6 and GEM 5 simulations are used to simulate the suggested method","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84457856","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}
This study presents an optimization model for determining global solar radiation in the northeastern region of Nigeria using a combination of meteorological data and satellite imagery. Ten recent models were chosen from the literature review and optimized to select the one that best fits the study region. Two models were developed to provide accurate solar radiation predictions, which can be used to improve the planning and implementation of a solar energy project in the region. The model integrates the Angstrom-Prescott model with various climate parameters such as Temperature (∆T), relative humidity (RH), location latitude (Φ), solar declination angle (δ), and the number of days in a year (n) with satellite image data to determine the global solar radiation. The finding of optimization models shows that the model10 performed very well with minimum error as Mean Base Error (0.028), Mean Percentage Error (-0.001), Root Mean Square Error (0.098), and coefficient of determination R2 (0.994), which suggested as the optimized model for determining of global solar radiation in northeastern Nigeria. The two models were developed, that is, proposed Model1 and proposed Model2. Proposed Model1 slightly overestimated the global solar radiation with Mean Base Error (-0.863), Mean Percentage Error (-0.039), Root Mean Square Error (2.990), and coefficient of determination R2 (0.745), while proposed Model2 performed better with Mean Base Error (-0.005), Mean Percentage Error (0.0003), Root Mean Square Error (0.02) with the coefficient of determination R2 (0.985). The proposed models were validated using the suggested optimized model10 and satellite data model, which show that the proposed model can accurately determine global solar radiation in the northeastern region of Nigeria. This study's findings will benefit the region's solar energy project developers, researchers, and policymakers.
{"title":"Optimization Model for Determining Global Solar Radiation in the Northeastern States of Nigeria Using Both Meteorological and Satellite Imagery Data","authors":"M. K. Salihu","doi":"10.31763/aet.v2i2.1039","DOIUrl":"https://doi.org/10.31763/aet.v2i2.1039","url":null,"abstract":"This study presents an optimization model for determining global solar radiation in the northeastern region of Nigeria using a combination of meteorological data and satellite imagery. Ten recent models were chosen from the literature review and optimized to select the one that best fits the study region. Two models were developed to provide accurate solar radiation predictions, which can be used to improve the planning and implementation of a solar energy project in the region. The model integrates the Angstrom-Prescott model with various climate parameters such as Temperature (∆T), relative humidity (RH), location latitude (Φ), solar declination angle (δ), and the number of days in a year (n) with satellite image data to determine the global solar radiation. The finding of optimization models shows that the model10 performed very well with minimum error as Mean Base Error (0.028), Mean Percentage Error (-0.001), Root Mean Square Error (0.098), and coefficient of determination R2 (0.994), which suggested as the optimized model for determining of global solar radiation in northeastern Nigeria. The two models were developed, that is, proposed Model1 and proposed Model2. Proposed Model1 slightly overestimated the global solar radiation with Mean Base Error (-0.863), Mean Percentage Error (-0.039), Root Mean Square Error (2.990), and coefficient of determination R2 (0.745), while proposed Model2 performed better with Mean Base Error (-0.005), Mean Percentage Error (0.0003), Root Mean Square Error (0.02) with the coefficient of determination R2 (0.985). The proposed models were validated using the suggested optimized model10 and satellite data model, which show that the proposed model can accurately determine global solar radiation in the northeastern region of Nigeria. This study's findings will benefit the region's solar energy project developers, researchers, and policymakers.","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77828509","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}
In this paper, some new classes of exponentially general nonconvex variational inequalities are introduced and investigated. Several special cases are discussed as applications of these nonconvex variational inequalities. Projection technique is used to establish the equivalence between the non covex variational inequalities and fixed point problem. This equivalent formulation is used to discuss the existence of the solution. Several inertial type methods are suggested and analyzed for solving exponentially general nonconvex variational inequalities. using the technique of the projection operator and dynamical systems. Convergence analysis of the iterative methods is analyzed under suitable and appropriate weak conditions. In this sense, our result can be viewed as improvement and refinement of the previously known results. Our methods of proof are very simple as compared with other techniques.
{"title":"New Classes of Exponentially General Nonconvex Variational Inequalities","authors":"M. Noor, K. Noor","doi":"10.31763/aet.v2i2.1020","DOIUrl":"https://doi.org/10.31763/aet.v2i2.1020","url":null,"abstract":"In this paper, some new classes of exponentially general nonconvex variational inequalities are introduced and investigated. Several special cases are discussed as applications of these nonconvex variational inequalities. Projection technique is used to establish the equivalence between the non covex variational inequalities and fixed point problem. This equivalent formulation is used to discuss the existence of the solution. Several inertial type methods are suggested and analyzed for solving exponentially general nonconvex variational inequalities. using the technique of the projection operator and dynamical systems. Convergence analysis of the iterative methods is analyzed under suitable and appropriate weak conditions. In this sense, our result can be viewed as improvement and refinement of the previously known results. Our methods of proof are very simple as compared with other techniques.","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85984687","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}
This study focused on evaluating the economic cost viability of developing a floating solar photovoltaic systems (FSPVs) project in Nigeria, using Ikang river, Bakassi as an incident study. The FSPVs was designed using the HOMER software to satisfy full load requirements of 2426.45 kWh/day, while appraising the viability of the FSPVs in incident study. Meteorological data of the incident study location which include geographical coordinates, ambient temperature, and global horizontal irradiance were used to select a suitable FSPVs design for the cost appraisal. Lifecycle cost model was further developed to evaluate the proposed FSPVs at different project development phases. These include: predevelopment and consenting (PC), procurement and acquisition (PA), installation and commissioning (IC), operation and maintenance (OM), and decommissioning and disposal (DD). The results obtained showed that the net present cost, Levelized cost of energy, and operating cost of the project were 10,350,933.25USD, 0.90USD/kWh, and 179,164.73USD, respectively. Also, the capital expenditure (CAPEX) amassed by 81.53% of the entire project cost, while operating expenditure (OPEX) was 18.47%. Furthermore, installation, support systems, predevelopment and project management, contingencies, indirect cost, and electrical equipment were the key drivers of the project. For the lifecycle stages; PC, PA, IC, OM and DD were obtained to be 12%, 57.9%, 11.6%, 9.96%, and 8% respectively of the project cost. Thus, the incident study location has the potential for FSPVs development and has proven to be economically viable. Nevertheless, established model was suitable in appraising preliminary variations in FSPVs.
{"title":"Feasibility of floating solar photovoltaic systems (FSPVs) development in Nigeria: an economic cost appraisal case study","authors":"S. O. Effiom","doi":"10.31763/aet.v2i2.1012","DOIUrl":"https://doi.org/10.31763/aet.v2i2.1012","url":null,"abstract":"This study focused on evaluating the economic cost viability of developing a floating solar photovoltaic systems (FSPVs) project in Nigeria, using Ikang river, Bakassi as an incident study. The FSPVs was designed using the HOMER software to satisfy full load requirements of 2426.45 kWh/day, while appraising the viability of the FSPVs in incident study. Meteorological data of the incident study location which include geographical coordinates, ambient temperature, and global horizontal irradiance were used to select a suitable FSPVs design for the cost appraisal. Lifecycle cost model was further developed to evaluate the proposed FSPVs at different project development phases. These include: predevelopment and consenting (PC), procurement and acquisition (PA), installation and commissioning (IC), operation and maintenance (OM), and decommissioning and disposal (DD). The results obtained showed that the net present cost, Levelized cost of energy, and operating cost of the project were 10,350,933.25USD, 0.90USD/kWh, and 179,164.73USD, respectively. Also, the capital expenditure (CAPEX) amassed by 81.53% of the entire project cost, while operating expenditure (OPEX) was 18.47%. Furthermore, installation, support systems, predevelopment and project management, contingencies, indirect cost, and electrical equipment were the key drivers of the project. For the lifecycle stages; PC, PA, IC, OM and DD were obtained to be 12%, 57.9%, 11.6%, 9.96%, and 8% respectively of the project cost. Thus, the incident study location has the potential for FSPVs development and has proven to be economically viable. Nevertheless, established model was suitable in appraising preliminary variations in FSPVs.","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80009625","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}
Currently the regional government of Central Sulawesi Province through the Ministry of PUPR has built several permanent residential units (Huntap) for victims of the natural disaster on September 28 2018 that occurred in Palu City, one of which is located in Tondo Village, right behind the Tadulako University Campus. However, based on the results of the initial survey that had been carried out, there were still some things that were not given much attention, such as the provision of housing facilities and infrastructure as well as the shape of houses and their locations that did not respond to the topographic climatic conditions in Palu City. Based on the above premise, regarding the importance of permanent housing arrangement for victims of natural disasters, a problem can be formulated, namely "What is the concept of permanent housing arrangement in Tondo Village with a healthy shelter-based approach?"This study uses a rationalistic approach. The rationalistic approach is an approach that sees truth not solely from empirical conditions but also from argumentation as a part of thinking construction. To collect information and obtain data that is directly related to the research, a direct observation was carried out which included observation at the permanent residential location of Tondo Village which was the object of this study.The design concept carried out in the arrangement of permanent housing in Tondo Village is to formulate the concept of providing housing facilities and infrastructure. In addition to this, the model of residential buildings is also designed to be more attractive, so that it will be different from the appearance of permanent residential buildings that currently exist. The house design is maximized to be able to respond to the climate around a permanent residence, so as to be able to produce designs that guarantee the health of the residents of the house. The structural system used is no different from existing huntap building structural system, namely the simple healthy instant house structure system (RISHA).
{"title":"Study of permanent residential management in Tondo Village, Palu City","authors":"H. Salenda, S. M. Malik, F. Julia, M. Munawir","doi":"10.31763/aet.v1i2.673","DOIUrl":"https://doi.org/10.31763/aet.v1i2.673","url":null,"abstract":"Currently the regional government of Central Sulawesi Province through the Ministry of PUPR has built several permanent residential units (Huntap) for victims of the natural disaster on September 28 2018 that occurred in Palu City, one of which is located in Tondo Village, right behind the Tadulako University Campus. However, based on the results of the initial survey that had been carried out, there were still some things that were not given much attention, such as the provision of housing facilities and infrastructure as well as the shape of houses and their locations that did not respond to the topographic climatic conditions in Palu City. Based on the above premise, regarding the importance of permanent housing arrangement for victims of natural disasters, a problem can be formulated, namely \"What is the concept of permanent housing arrangement in Tondo Village with a healthy shelter-based approach?\"This study uses a rationalistic approach. The rationalistic approach is an approach that sees truth not solely from empirical conditions but also from argumentation as a part of thinking construction. To collect information and obtain data that is directly related to the research, a direct observation was carried out which included observation at the permanent residential location of Tondo Village which was the object of this study.The design concept carried out in the arrangement of permanent housing in Tondo Village is to formulate the concept of providing housing facilities and infrastructure. In addition to this, the model of residential buildings is also designed to be more attractive, so that it will be different from the appearance of permanent residential buildings that currently exist. The house design is maximized to be able to respond to the climate around a permanent residence, so as to be able to produce designs that guarantee the health of the residents of the house. The structural system used is no different from existing huntap building structural system, namely the simple healthy instant house structure system (RISHA).","PeriodicalId":21010,"journal":{"name":"Research Journal of Applied Sciences, Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80092881","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}
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