Pub Date : 2024-03-29DOI: 10.9734/jerr/2024/v26i41127
Robby Marzuki, Purwanto
Clean water is one of the basic needs to support human life. As the population grows, the need for clean water also increases. In the development of the National Capital area in North Penajam Paser, a lot of clean water will be needed. The study aims to find out alternative steps that will be taken to increase the fulfillment of clean water needs in the construction area of flats housing construction workers (HPK) in the National Capital Region (IKN) North Penajam Paser Regency, East Kalimantan Province, Indonesia. The study was carried out in the construction area of flats housing construction workers in the National Capital Region, North Penajam Paser Regency, East Kalimantan Province, Indonesia. The data collected is in the form of qualitative data, namely a description of the study location in general, and quantitative data: number of residents, water needs per person, number of flats for worker housing, and rain conditions in the study area. The techniques used to collect data that are appropriate to the object of study are observation, interviews, institutional visits, and literature review. The analytical methods used are: (1) a qualitative approach using descriptive analysis which describes the existing conditions of the study area, (2) analysis of population projections and (3) analysis of clean water supply. The study results in a show that efforts to provide clean water in HPK IKN can be done other than dams and reservoirs, namely by harvesting rainwater through infiltration wells, rainwater collection ponds, bio pore absorption holes, rain gardens, porous paving blocks, and storage reservoirs.
{"title":"Exploration of Clean Water Provision Endeavors in Residential Facilities for Construction Workers within the National Capital Development Area (IKN), Indonesia","authors":"Robby Marzuki, Purwanto","doi":"10.9734/jerr/2024/v26i41127","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41127","url":null,"abstract":"Clean water is one of the basic needs to support human life. As the population grows, the need for clean water also increases. In the development of the National Capital area in North Penajam Paser, a lot of clean water will be needed. The study aims to find out alternative steps that will be taken to increase the fulfillment of clean water needs in the construction area of flats housing construction workers (HPK) in the National Capital Region (IKN) North Penajam Paser Regency, East Kalimantan Province, Indonesia. The study was carried out in the construction area of flats housing construction workers in the National Capital Region, North Penajam Paser Regency, East Kalimantan Province, Indonesia. The data collected is in the form of qualitative data, namely a description of the study location in general, and quantitative data: number of residents, water needs per person, number of flats for worker housing, and rain conditions in the study area. The techniques used to collect data that are appropriate to the object of study are observation, interviews, institutional visits, and literature review. The analytical methods used are: (1) a qualitative approach using descriptive analysis which describes the existing conditions of the study area, (2) analysis of population projections and (3) analysis of clean water supply. The study results in a show that efforts to provide clean water in HPK IKN can be done other than dams and reservoirs, namely by harvesting rainwater through infiltration wells, rainwater collection ponds, bio pore absorption holes, rain gardens, porous paving blocks, and storage reservoirs.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140366132","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 : 2024-03-28DOI: 10.9734/jerr/2024/v26i41125
O. Okuyelu, O. Adaji, Bakhtiyar Doskenov
The advantages of both real-time production monitoring and control systems in enhancing the advancement of manufacturing efficiency cannot be overlooked. Manufacturing industries need to meet customers’ demand while still maximizing their profits via avoiding emergency shutdown of plants during production. Nonetheless, quality products with high purity level should be supplied uninterruptedly without breakage of supply chain. In recent times, failure of many of manufacturing industries to deliver their products to end users have been cited and reported. This was due to inadequate scheduling which was not being monitored via real-time production and control systems. There is need to tackle this problem which calls for the adoption of real-time production monitoring and control systems. In this paper, the concepts behind the use of real-time production monitoring and control systems were discussed. Consideration was given to how real-time production monitoring can be integrated in manufacturing. The features of real-time control systems were discussed alongside with their industrial applications in various disciplines of Engineering. Data analysis and prognostics, data collection, visualization module and data storage were identified as the relevant sequential steps in real time production monitoring in advancing manufacturing efficiency. In conclusion, the significance and importance of real-time production monitoring and control systems in advancing manufacturing efficiency have been revealed and discussed in this paper.
{"title":"Advancing Manufacturing Efficiency through Real-time Production Monitoring and Control Systems","authors":"O. Okuyelu, O. Adaji, Bakhtiyar Doskenov","doi":"10.9734/jerr/2024/v26i41125","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41125","url":null,"abstract":"The advantages of both real-time production monitoring and control systems in enhancing the advancement of manufacturing efficiency cannot be overlooked. Manufacturing industries need to meet customers’ demand while still maximizing their profits via avoiding emergency shutdown of plants during production. Nonetheless, quality products with high purity level should be supplied uninterruptedly without breakage of supply chain. In recent times, failure of many of manufacturing industries to deliver their products to end users have been cited and reported. This was due to inadequate scheduling which was not being monitored via real-time production and control systems. There is need to tackle this problem which calls for the adoption of real-time production monitoring and control systems. In this paper, the concepts behind the use of real-time production monitoring and control systems were discussed. Consideration was given to how real-time production monitoring can be integrated in manufacturing. The features of real-time control systems were discussed alongside with their industrial applications in various disciplines of Engineering. Data analysis and prognostics, data collection, visualization module and data storage were identified as the relevant sequential steps in real time production monitoring in advancing manufacturing efficiency. In conclusion, the significance and importance of real-time production monitoring and control systems in advancing manufacturing efficiency have been revealed and discussed in this paper.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"99 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140370631","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 : 2024-03-27DOI: 10.9734/jerr/2024/v26i41123
Gorei Nkela Ngochindo, Amieibibama Joseph
Sand production in oil wells is a significant challenge that negatively impacts productivity and compromise equipment integrity. This study explores the application of Optimized Support Vector Machine (SVM) binary classification algorithm to predict the onset of sand production in oil wells. A dataset from 63 oil wells was utilized, and class labels were determined based on the bulk and shear modulus product. The model development incorporated geological and mechanical parameters that could influence sand detachment such as: Young’s modulus, Poisson’s ratio, minimum and maximum horizontal stresses, overburden pressure, pore pressure, depth, fracture gradient, and formation strength. Instances above the threshold of 8E+11 were classified as indicative of no sand production, while those below were considered potential sand production scenarios. The SVM model demonstrated remarkable accuracy in predicting sand production onset, trained and tested rigorously with field data. The model's accuracy was evaluated using statistical parameters, such as: accuracy (ACC), sensitivity (SE), specificity (SP), and Matthew's Correlation Coefficient (MCC). From the results, the model achieved a score of 1 across all parameters, indicating high reliability and accuracy in sand production prediction. The practical implications of this model are significant, offering assistance to completion engineers in making proactive decisions regarding sand control strategies. Furthermore, the integration of this model into oil and gas industry processes can optimize operational efficiency by foreseeing potential sand production events, hence, preventing production impairment and ensuring loss prevention.
{"title":"Predicting Onset of Sand Production in Oil Wells using Machine Learning","authors":"Gorei Nkela Ngochindo, Amieibibama Joseph","doi":"10.9734/jerr/2024/v26i41123","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41123","url":null,"abstract":"Sand production in oil wells is a significant challenge that negatively impacts productivity and compromise equipment integrity. This study explores the application of Optimized Support Vector Machine (SVM) binary classification algorithm to predict the onset of sand production in oil wells. A dataset from 63 oil wells was utilized, and class labels were determined based on the bulk and shear modulus product. The model development incorporated geological and mechanical parameters that could influence sand detachment such as: Young’s modulus, Poisson’s ratio, minimum and maximum horizontal stresses, overburden pressure, pore pressure, depth, fracture gradient, and formation strength. Instances above the threshold of 8E+11 were classified as indicative of no sand production, while those below were considered potential sand production scenarios. The SVM model demonstrated remarkable accuracy in predicting sand production onset, trained and tested rigorously with field data. The model's accuracy was evaluated using statistical parameters, such as: accuracy (ACC), sensitivity (SE), specificity (SP), and Matthew's Correlation Coefficient (MCC). From the results, the model achieved a score of 1 across all parameters, indicating high reliability and accuracy in sand production prediction. The practical implications of this model are significant, offering assistance to completion engineers in making proactive decisions regarding sand control strategies. Furthermore, the integration of this model into oil and gas industry processes can optimize operational efficiency by foreseeing potential sand production events, hence, preventing production impairment and ensuring loss prevention. ","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"32 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140375636","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 : 2024-03-27DOI: 10.9734/jerr/2024/v26i41124
E. Duodu, Evans Kwaku Seim Mbrah, John Nana Otchere
This study investigates the influence of pressure ratio variation on the performance of a gas turbine plant located at Aboadze, Ghana. The operational data including daily hourly measurements of pressure ratio, power output, ambient temperature, and gas fuel flow rate were collected during field visits conducted in February and March 2021. The thermal efficiency was computed using a validated equation, and data were analyzed using MAT LAB. The study reveals significant temporal fluctuations in the pressure ratio, power output, and thermal efficiency, highlighting the dynamic nature of the gas turbine plant's performance during daily operation. It was also observed that as the pressure ratio increases, the power output and thermal efficiency also increases and vice versa. The average highest and lowest pressure ratio recorded between February and March 2021 were 10.40 and 9.84 respectively, with corresponding average highest and lowest power output of 109 MW and 102 MW respectively. The result also showed an average daily variation in pressure ratio of 0.35 with corresponding power output difference of 5.25 MW. The finding showed that averagely, the lowest thermal efficiency and the highest thermal efficiency were 27.00 % and 28.00 % respectively. This study is of crucial importance for optimizing power generation efficiency and ensuring sustainable energy production. By studying a specific gas turbine plant located in Aboadze, Ghana, this research contributes valuable insights into the operational characteristics of such plants in the region.
{"title":"Analyzing the Impact of Pressure Ratio Variation on Gas Power Plant Performance at Takoradi Thermal Power Station","authors":"E. Duodu, Evans Kwaku Seim Mbrah, John Nana Otchere","doi":"10.9734/jerr/2024/v26i41124","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41124","url":null,"abstract":"This study investigates the influence of pressure ratio variation on the performance of a gas turbine plant located at Aboadze, Ghana. The operational data including daily hourly measurements of pressure ratio, power output, ambient temperature, and gas fuel flow rate were collected during field visits conducted in February and March 2021. The thermal efficiency was computed using a validated equation, and data were analyzed using MAT LAB. The study reveals significant temporal fluctuations in the pressure ratio, power output, and thermal efficiency, highlighting the dynamic nature of the gas turbine plant's performance during daily operation. It was also observed that as the pressure ratio increases, the power output and thermal efficiency also increases and vice versa. The average highest and lowest pressure ratio recorded between February and March 2021 were 10.40 and 9.84 respectively, with corresponding average highest and lowest power output of 109 MW and 102 MW respectively. The result also showed an average daily variation in pressure ratio of 0.35 with corresponding power output difference of 5.25 MW. The finding showed that averagely, the lowest thermal efficiency and the highest thermal efficiency were 27.00 % and 28.00 % respectively. \u0000This study is of crucial importance for optimizing power generation efficiency and ensuring sustainable energy production. By studying a specific gas turbine plant located in Aboadze, Ghana, this research contributes valuable insights into the operational characteristics of such plants in the region.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"31 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140373664","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 : 2024-03-26DOI: 10.9734/jerr/2024/v26i41120
E. Duodu, Vivian Hinneh, Kannie Winston Kuttin, John Nana Otchere
Aim: The main purpose of this study is to perform a comparative analysis of piston rings made with aluminum titanium carbide (AlTiC-75-2) and carbon cast steel (AISI 1540) materials using numerical method. Study Design: Numerical methods. Materials and Methods: The 3D piston rings were modelled with SOLIDWORDS version 2019 and imported to ANSYS 2020 RI environment for simulation and analysis. Results: The study revealed that AISI 1540 and AlTiC-75-2 had maximum deformations of 1.0356 mm and 1.0773 mm, respectively. Also, when the equivalent elastic strains of the piston rings were compared, it was revealed that, the maximum and minimum elastic strain of the AlTiC-75-2 piston was 4.8826e-3 and 2.2581e-5, respectively, whiles the maximum and minimum elastic strain of AISI 1540 was 2.1878e-5 and 2.1878e-5 respectively. Numerical results further showed that AISI 1540 piston suffered the least elastic strain while the AlTiC piston ring endured more elastic strain. Furthermore, results showed that the maximum Von Mises stresses induced in AlTiC-75-2 and AISI 1540 piston rings were 915.2 MPa and 911.27 MPa, respectively, which implies that stresses induced in both rings were beneath the compressive yield strengths of the individual materials, therefore both rings could withstand the load imposed. Conclusion: Result shows that the AISI 1540 ring has high minimum value than AlTiC which makes it more suitable material in terms of failure as against AlTiC-75-2 with a low minimum safety factor of 0.094187 as against 0.10182 for carbon cast steel. The study therefore recommends that AlTiC-75-2 should be considered as one of the most suitable materials for piston ring design.
{"title":"Comparative Analysis of Piston Rings Made with Aluminum Titanium Carbide (AlTiC-75-2) and Carbon Cast Steel (AISI 1540) Materials Using Numerical Method","authors":"E. Duodu, Vivian Hinneh, Kannie Winston Kuttin, John Nana Otchere","doi":"10.9734/jerr/2024/v26i41120","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41120","url":null,"abstract":"Aim: The main purpose of this study is to perform a comparative analysis of piston rings made with aluminum titanium carbide (AlTiC-75-2) and carbon cast steel (AISI 1540) materials using numerical method. \u0000Study Design: Numerical methods.\u0000Materials and Methods: The 3D piston rings were modelled with SOLIDWORDS version 2019 and imported to ANSYS 2020 RI environment for simulation and analysis.\u0000Results: The study revealed that AISI 1540 and AlTiC-75-2 had maximum deformations of 1.0356 mm and 1.0773 mm, respectively. Also, when the equivalent elastic strains of the piston rings were compared, it was revealed that, the maximum and minimum elastic strain of the AlTiC-75-2 piston was 4.8826e-3 and 2.2581e-5, respectively, whiles the maximum and minimum elastic strain of AISI 1540 was 2.1878e-5 and 2.1878e-5 respectively. Numerical results further showed that AISI 1540 piston suffered the least elastic strain while the AlTiC piston ring endured more elastic strain. Furthermore, results showed that the maximum Von Mises stresses induced in AlTiC-75-2 and AISI 1540 piston rings were 915.2 MPa and 911.27 MPa, respectively, which implies that stresses induced in both rings were beneath the compressive yield strengths of the individual materials, therefore both rings could withstand the load imposed.\u0000Conclusion: Result shows that the AISI 1540 ring has high minimum value than AlTiC which makes it more suitable material in terms of failure as against AlTiC-75-2 with a low minimum safety factor of 0.094187 as against 0.10182 for carbon cast steel. The study therefore recommends that AlTiC-75-2 should be considered as one of the most suitable materials for piston ring design.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"36 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140378385","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 : 2024-03-26DOI: 10.9734/jerr/2024/v26i41119
R. I. Areola, A.O. Adetunmbi, Thomas O. Okimi
Aim: Charge controller that leverages fuzzy logic was developed to enhance the efficiency of traditional charge controllers. A model was constructed and assessed for its performance through MATLAB/Simulink. It allows for flexibility in controlling the variability of renewable energy sources. It also improves the efficiency and lifespan of energy storage systems while minimizing the impact on the grid and environment. Study of the design: The PV system consists of a PV module, PWM inverter, MPPT controller and DC-DC converter which are connected using MATLAB/Simulink environment. Methodology: we conducted validation tests to substantiate the advantages of our fuzzy charge controller. The creation of fuzzy rules was based on the system's performance and subsequently translated into precise values with the assistance of a fuzzy inference system. This Research Project was Completed in Two Months. Results: Our findings clearly demonstrate that the implementation of fuzzy logic control results in superior charge controller performance. This, in turn, safeguards against battery discharging and overcharging during unpredictable weather conditions. Conclusion: These protective measures are made possible through the decision-making capabilities of the DC-DC buck-boost converter, which effectively regulates both the voltage and current output of the PV module.
{"title":"Intelligent Energy Management System: Harnessing Fuzzy Logic for Charge Control","authors":"R. I. Areola, A.O. Adetunmbi, Thomas O. Okimi","doi":"10.9734/jerr/2024/v26i41119","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41119","url":null,"abstract":"Aim: Charge controller that leverages fuzzy logic was developed to enhance the efficiency of traditional charge controllers. A model was constructed and assessed for its performance through MATLAB/Simulink. It allows for flexibility in controlling the variability of renewable energy sources. It also improves the efficiency and lifespan of energy storage systems while minimizing the impact on the grid and environment. \u0000Study of the design: The PV system consists of a PV module, PWM inverter, MPPT controller and DC-DC converter which are connected using MATLAB/Simulink environment. \u0000Methodology: we conducted validation tests to substantiate the advantages of our fuzzy charge controller. The creation of fuzzy rules was based on the system's performance and subsequently translated into precise values with the assistance of a fuzzy inference system. This Research Project was Completed in Two Months. \u0000Results: Our findings clearly demonstrate that the implementation of fuzzy logic control results in superior charge controller performance. This, in turn, safeguards against battery discharging and overcharging during unpredictable weather conditions. \u0000Conclusion: These protective measures are made possible through the decision-making capabilities of the DC-DC buck-boost converter, which effectively regulates both the voltage and current output of the PV module.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"105 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380705","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 recent years, with the further strengthening of environmental protection, researchers have paid extensive attention to the hydrogen-enriched engine. hydrogen-enriched mix hydrogen with conventional fuels and are designed to reduce exhaust emissions, improve combustion efficiency and enhance power performance. Proper hydrogen incorporation can reduce carbon emissions and nitrogen oxide emissions, and improve engine power output and combustion efficiency. In this paper, four kinds of hydrogen-enriched engines are introduced comprehensively, and the effects of hydrogen-enriched ratio on combustion and emission performance of engines are analyzed, as well as the effects of different technologies on hydrogen-enriched engines. The research results show that hydrogen-enriched engines have significant advantages in reducing emissions, improving combustion efficiency and enhancing power performance, and become one of the important technologies for the future automotive industry to transition to clean energy.
{"title":"The Current State of Hydrogen-Enriched Engine Development","authors":"Xu Zhang, Jiaqi Wang, Zhichao Lou, Shaokai Shen, Jintao Meng, Chunjian Zhou","doi":"10.9734/jerr/2024/v26i41121","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41121","url":null,"abstract":"In recent years, with the further strengthening of environmental protection, researchers have paid extensive attention to the hydrogen-enriched engine. hydrogen-enriched mix hydrogen with conventional fuels and are designed to reduce exhaust emissions, improve combustion efficiency and enhance power performance. Proper hydrogen incorporation can reduce carbon emissions and nitrogen oxide emissions, and improve engine power output and combustion efficiency. In this paper, four kinds of hydrogen-enriched engines are introduced comprehensively, and the effects of hydrogen-enriched ratio on combustion and emission performance of engines are analyzed, as well as the effects of different technologies on hydrogen-enriched engines. The research results show that hydrogen-enriched engines have significant advantages in reducing emissions, improving combustion efficiency and enhancing power performance, and become one of the important technologies for the future automotive industry to transition to clean energy.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"101 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140381178","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}
Hydrogen and ammonia are two carbon-free alternative fuels for engines. They represent some of the most viable pathways toward achieving our objectives of energy conservation and reducing emissions. To research the quality of the hydrogen-ammonia-air mixture formation under different hydrogen/ammonia injection timing, a three-dimensional simulation model for a PFI(Port Fuel Injection) hydrogen internal combustion engine with the inlet, outlet, valves and cylinder was established using Converge software. Research focused on the space distribution characteristics and variation law of velocity field, concentration field and turbulent kinetic energy under different injection timings in order to reveal the influence of these parameters on hydrogen-ammonia-air mixture formation process. The results showed that hydrogen injection should be neither too early nor too late. Backfiring can be initiated too early or too late. Therefore, the optimum starting point for hydrogen/ammonia injection should be 338°CA.
{"title":"Optimizing Hydrogen and Ammonia Injection Timing for Enhanced Mixture Formation in Internal Combustion Engines","authors":"Shuman Guo, Zhichao Lou, Xu Zhang, Shaokai Shen, Jintao Meng, Jiaqi Wang, Chunjian Zhou","doi":"10.9734/jerr/2024/v26i41122","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41122","url":null,"abstract":"Hydrogen and ammonia are two carbon-free alternative fuels for engines. They represent some of the most viable pathways toward achieving our objectives of energy conservation and reducing emissions. To research the quality of the hydrogen-ammonia-air mixture formation under different hydrogen/ammonia injection timing, a three-dimensional simulation model for a PFI(Port Fuel Injection) hydrogen internal combustion engine with the inlet, outlet, valves and cylinder was established using Converge software. Research focused on the space distribution characteristics and variation law of velocity field, concentration field and turbulent kinetic energy under different injection timings in order to reveal the influence of these parameters on hydrogen-ammonia-air mixture formation process. The results showed that hydrogen injection should be neither too early nor too late. Backfiring can be initiated too early or too late. Therefore, the optimum starting point for hydrogen/ammonia injection should be 338°CA.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"108 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380420","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 : 2024-03-26DOI: 10.9734/jerr/2024/v26i41118
Okon, Edet Ita, C. I. Ndubuka
Marginal field development and production are often abandoned by operators because of finding reliable and available equipment and services to enable the field to be developed. These challenges make it difficult to economically produce such fields. This research demonstrates the use of industry-based simulators (PIPESIM, ECLIPSE and PETREL) to design well completion model, Electrical Submersible Pump (ESP). model, simulate, and evaluate the performance of ESP on a typical marginal oilfield. The main objective of this study is to effectively optimize oil production from marginal fields in the Niger Delta using Electrical Submersible Pump (ESP). ECLIPSE software was used for the reservoir description. PIPESIM was used to design the artificial lift system (ESP) for five oil wells and PETREL was used to integrate the whole system for effective production optimization. The performance of ESP wells was simulated and compared with the naturally flowing wells. The results obtained from the production forecast showed that the ESP wells gave superior oil production when compared to natural flowing wells. From the simulation results, it was observed that the cumulative oil recovery without ESP was 33,684,736 stb while that recovered with ESP was 87,751,136 stb (about 261% oil increment). The findings of this study will enable petroleum engineers to design ESP systems and well completion that would effectively optimize oil production from marginal fields in the Niger Delta. Furthermore, the findings of the study will offer new and exciting ways to process and transform abandon oilfields into productive marginal oilfields.
{"title":"Maximizing Oil Recovery in a Marginal Oilfield: Niger Delta Case Study","authors":"Okon, Edet Ita, C. I. Ndubuka","doi":"10.9734/jerr/2024/v26i41118","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i41118","url":null,"abstract":"Marginal field development and production are often abandoned by operators because of finding reliable and available equipment and services to enable the field to be developed. These challenges make it difficult to economically produce such fields. This research demonstrates the use of industry-based simulators (PIPESIM, ECLIPSE and PETREL) to design well completion model, Electrical Submersible Pump (ESP). model, simulate, and evaluate the performance of ESP on a typical marginal oilfield. The main objective of this study is to effectively optimize oil production from marginal fields in the Niger Delta using Electrical Submersible Pump (ESP). ECLIPSE software was used for the reservoir description. PIPESIM was used to design the artificial lift system (ESP) for five oil wells and PETREL was used to integrate the whole system for effective production optimization. The performance of ESP wells was simulated and compared with the naturally flowing wells. The results obtained from the production forecast showed that the ESP wells gave superior oil production when compared to natural flowing wells. From the simulation results, it was observed that the cumulative oil recovery without ESP was 33,684,736 stb while that recovered with ESP was 87,751,136 stb (about 261% oil increment). The findings of this study will enable petroleum engineers to design ESP systems and well completion that would effectively optimize oil production from marginal fields in the Niger Delta. Furthermore, the findings of the study will offer new and exciting ways to process and transform abandon oilfields into productive marginal oilfields.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"107 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380590","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 : 2024-03-06DOI: 10.9734/jerr/2024/v26i31102
Md. Saif Mahmud, Md Ashikul Islam, Md. Maruf Rahman, Debashon Chakraborty, S. Kabir, Abu Shufian, Protik Parvez Sheikh
In the evolving landscape of industrial control systems (ICS), the sophistication of cyber threats has necessitated the development of advanced anomaly detection mechanisms to safeguard critical infrastructure. This study introduces a novel anomaly detection model based on the Isolation Forest algorithm, tailored for the complex environment of ICS. Unlike traditional detection methods that often rely on predefined thresholds or patterns, our model capitalizes on the Isolation Forest's ability to efficiently isolate anomalies in high-dimensional datasets, making it particularly suited for the dynamic and intricate data generated by ICS. Leveraging the HAI dataset, which encompasses operational data from a realistic ICS testbed augmented with a Hardware-In-the-Loop (HIL) simulator, this research demonstrates the model's effectiveness in identifying both known and novel cyber threats across various ICS components. Our findings reveal that the Isolation Forest-based model outperforms traditional anomaly detection techniques in terms of detection accuracy, false positive rate, and computational efficiency. Furthermore, the model exhibits a remarkable ability to adapt to the evolving nature of cyber threats, underscoring its potential as a robust tool for enhancing the security posture of ICS. Through a detailed analysis of its application in detecting sophisticated attacks represented in the HAI dataset, this study contributes to the ongoing discourse on improving ICS security and presents a compelling case for the adoption of machine learning-based anomaly detection solutions in industrial settings.
{"title":"Enhancing Industrial Control System Security: An Isolation Forest-based Anomaly Detection Model for Mitigating Cyber Threats","authors":"Md. Saif Mahmud, Md Ashikul Islam, Md. Maruf Rahman, Debashon Chakraborty, S. Kabir, Abu Shufian, Protik Parvez Sheikh","doi":"10.9734/jerr/2024/v26i31102","DOIUrl":"https://doi.org/10.9734/jerr/2024/v26i31102","url":null,"abstract":"In the evolving landscape of industrial control systems (ICS), the sophistication of cyber threats has necessitated the development of advanced anomaly detection mechanisms to safeguard critical infrastructure. This study introduces a novel anomaly detection model based on the Isolation Forest algorithm, tailored for the complex environment of ICS. Unlike traditional detection methods that often rely on predefined thresholds or patterns, our model capitalizes on the Isolation Forest's ability to efficiently isolate anomalies in high-dimensional datasets, making it particularly suited for the dynamic and intricate data generated by ICS. Leveraging the HAI dataset, which encompasses operational data from a realistic ICS testbed augmented with a Hardware-In-the-Loop (HIL) simulator, this research demonstrates the model's effectiveness in identifying both known and novel cyber threats across various ICS components. Our findings reveal that the Isolation Forest-based model outperforms traditional anomaly detection techniques in terms of detection accuracy, false positive rate, and computational efficiency. Furthermore, the model exhibits a remarkable ability to adapt to the evolving nature of cyber threats, underscoring its potential as a robust tool for enhancing the security posture of ICS. Through a detailed analysis of its application in detecting sophisticated attacks represented in the HAI dataset, this study contributes to the ongoing discourse on improving ICS security and presents a compelling case for the adoption of machine learning-based anomaly detection solutions in industrial settings.","PeriodicalId":508164,"journal":{"name":"Journal of Engineering Research and Reports","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140077991","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：