R. Sathesh Raaj, S. Vijayprasath, S. Ashokkumar, S. Anupallavi, S. M. Vijayarajan
INTRODUCTION: With the escalating rates of urbanization, there is a pressing need for enhanced urban services. The concept of smart cities, leveraging digital technologies, offers a promising solution to elevate urban living. The integration of Internet-of-Things (IoT) in urban infrastructure, particularly on highways, opens avenues for novel services and cross-domain applications through Information and Communication Technologies. However, the efficient functioning of an IoT-enabled smart city necessitates careful energy resource management. OBJECTIVES: Propose a Highway Lighting System (HWLS) integrating IoT technologies to enhance urban services, focusing on significant energy savings and real-time environmental parameter monitoring. METHODS: To achieve the objective of enhancing urban services through the proposed Highway Lighting System (HWLS), the system was designed and implemented by integrating cutting-edge sensors, communication links, and the Blynk IoT app. The deployment involved incorporating IoT technologies for real-time monitoring of air quality, air moisture, and soil moisture, alongside a fault identification system using GSM and GPS modules. RESULTS: The proposed HWLS demonstrates significant energy savings, consuming only 37.6% of the original power consumption. The incorporation of IoT technologies facilitates real-time monitoring of environmental parameters, enabling informed decision-making for urban service optimization. The fault-finding system, utilizing GSM and GPS modules, enhances the reliability of the lighting system. CONCLUSION: In conclusion, the Highway Lighting System (HWLS) represents a novel approach to smart city infrastructure, particularly in the context of urban lighting. The integration of IoT technologies not only contributes to energy savings but also enhances the overall efficiency of urban services. The proposed system's ability to monitor environmental parameters and identify faults demonstrates its potential for sustainable urban development and improved quality of life.
{"title":"Energy Management System of Luminosity Controlled Smart City Using IoT","authors":"R. Sathesh Raaj, S. Vijayprasath, S. Ashokkumar, S. Anupallavi, S. M. Vijayarajan","doi":"10.4108/ew.5034","DOIUrl":"https://doi.org/10.4108/ew.5034","url":null,"abstract":"INTRODUCTION: With the escalating rates of urbanization, there is a pressing need for enhanced urban services. The concept of smart cities, leveraging digital technologies, offers a promising solution to elevate urban living. The integration of Internet-of-Things (IoT) in urban infrastructure, particularly on highways, opens avenues for novel services and cross-domain applications through Information and Communication Technologies. However, the efficient functioning of an IoT-enabled smart city necessitates careful energy resource management. \u0000OBJECTIVES: Propose a Highway Lighting System (HWLS) integrating IoT technologies to enhance urban services, focusing on significant energy savings and real-time environmental parameter monitoring. \u0000METHODS: To achieve the objective of enhancing urban services through the proposed Highway Lighting System (HWLS), the system was designed and implemented by integrating cutting-edge sensors, communication links, and the Blynk IoT app. The deployment involved incorporating IoT technologies for real-time monitoring of air quality, air moisture, and soil moisture, alongside a fault identification system using GSM and GPS modules. \u0000RESULTS: The proposed HWLS demonstrates significant energy savings, consuming only 37.6% of the original power consumption. The incorporation of IoT technologies facilitates real-time monitoring of environmental parameters, enabling informed decision-making for urban service optimization. The fault-finding system, utilizing GSM and GPS modules, enhances the reliability of the lighting system. \u0000CONCLUSION: In conclusion, the Highway Lighting System (HWLS) represents a novel approach to smart city infrastructure, particularly in the context of urban lighting. The integration of IoT technologies not only contributes to energy savings but also enhances the overall efficiency of urban services. The proposed system's ability to monitor environmental parameters and identify faults demonstrates its potential for sustainable urban development and improved quality of life.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"50 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865974","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}
R. Sathesh Raaj, S. Vijayprasath, S. Ashokkumar, S. Anupallavi, S. M. Vijayarajan
INTRODUCTION: With the escalating rates of urbanization, there is a pressing need for enhanced urban services. The concept of smart cities, leveraging digital technologies, offers a promising solution to elevate urban living. The integration of Internet-of-Things (IoT) in urban infrastructure, particularly on highways, opens avenues for novel services and cross-domain applications through Information and Communication Technologies. However, the efficient functioning of an IoT-enabled smart city necessitates careful energy resource management. OBJECTIVES: Propose a Highway Lighting System (HWLS) integrating IoT technologies to enhance urban services, focusing on significant energy savings and real-time environmental parameter monitoring. METHODS: To achieve the objective of enhancing urban services through the proposed Highway Lighting System (HWLS), the system was designed and implemented by integrating cutting-edge sensors, communication links, and the Blynk IoT app. The deployment involved incorporating IoT technologies for real-time monitoring of air quality, air moisture, and soil moisture, alongside a fault identification system using GSM and GPS modules. RESULTS: The proposed HWLS demonstrates significant energy savings, consuming only 37.6% of the original power consumption. The incorporation of IoT technologies facilitates real-time monitoring of environmental parameters, enabling informed decision-making for urban service optimization. The fault-finding system, utilizing GSM and GPS modules, enhances the reliability of the lighting system. CONCLUSION: In conclusion, the Highway Lighting System (HWLS) represents a novel approach to smart city infrastructure, particularly in the context of urban lighting. The integration of IoT technologies not only contributes to energy savings but also enhances the overall efficiency of urban services. The proposed system's ability to monitor environmental parameters and identify faults demonstrates its potential for sustainable urban development and improved quality of life.
{"title":"Energy Management System of Luminosity Controlled Smart City Using IoT","authors":"R. Sathesh Raaj, S. Vijayprasath, S. Ashokkumar, S. Anupallavi, S. M. Vijayarajan","doi":"10.4108/ew.5034","DOIUrl":"https://doi.org/10.4108/ew.5034","url":null,"abstract":"INTRODUCTION: With the escalating rates of urbanization, there is a pressing need for enhanced urban services. The concept of smart cities, leveraging digital technologies, offers a promising solution to elevate urban living. The integration of Internet-of-Things (IoT) in urban infrastructure, particularly on highways, opens avenues for novel services and cross-domain applications through Information and Communication Technologies. However, the efficient functioning of an IoT-enabled smart city necessitates careful energy resource management. \u0000OBJECTIVES: Propose a Highway Lighting System (HWLS) integrating IoT technologies to enhance urban services, focusing on significant energy savings and real-time environmental parameter monitoring. \u0000METHODS: To achieve the objective of enhancing urban services through the proposed Highway Lighting System (HWLS), the system was designed and implemented by integrating cutting-edge sensors, communication links, and the Blynk IoT app. The deployment involved incorporating IoT technologies for real-time monitoring of air quality, air moisture, and soil moisture, alongside a fault identification system using GSM and GPS modules. \u0000RESULTS: The proposed HWLS demonstrates significant energy savings, consuming only 37.6% of the original power consumption. The incorporation of IoT technologies facilitates real-time monitoring of environmental parameters, enabling informed decision-making for urban service optimization. The fault-finding system, utilizing GSM and GPS modules, enhances the reliability of the lighting system. \u0000CONCLUSION: In conclusion, the Highway Lighting System (HWLS) represents a novel approach to smart city infrastructure, particularly in the context of urban lighting. The integration of IoT technologies not only contributes to energy savings but also enhances the overall efficiency of urban services. The proposed system's ability to monitor environmental parameters and identify faults demonstrates its potential for sustainable urban development and improved quality of life.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139806043","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}
The usage of electric vehicles is gaining momentum in recent time’s thus providing support to the growth in sales of electric vehicles. The Battery management system is the most important aspect to ensure the smooth functioning of an electric vehicle. This research highlights some key statements on the background of electric vehicles. The increase in the overall growing importance of electric vehicles has also been explained in this work. Battery management system has an importance in the functioning of electric vehicles, thus presenting the key highlights of this article. The finding presents the importance of batteries and their type used in EVs. The simulation results of the Lithium battery cell – 1 RC, 2 RC equivalent circuit parameters such as charging current, terminal voltage, state of charge, and battery current have been simulated and analysed in Matlab. The future scope of BMS and its development has been discussed.
{"title":"Design and analysis of battery management system in electric vehicle","authors":"M. Parameswari, S. Usha","doi":"10.4108/ew.5003","DOIUrl":"https://doi.org/10.4108/ew.5003","url":null,"abstract":"The usage of electric vehicles is gaining momentum in recent time’s thus providing support to the growth in sales of electric vehicles. The Battery management system is the most important aspect to ensure the smooth functioning of an electric vehicle. This research highlights some key statements on the background of electric vehicles. The increase in the overall growing importance of electric vehicles has also been explained in this work. Battery management system has an importance in the functioning of electric vehicles, thus presenting the key highlights of this article. The finding presents the importance of batteries and their type used in EVs. The simulation results of the Lithium battery cell – 1 RC, 2 RC equivalent circuit parameters such as charging current, terminal voltage, state of charge, and battery current have been simulated and analysed in Matlab. The future scope of BMS and its development has been discussed.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139830342","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}
The usage of electric vehicles is gaining momentum in recent time’s thus providing support to the growth in sales of electric vehicles. The Battery management system is the most important aspect to ensure the smooth functioning of an electric vehicle. This research highlights some key statements on the background of electric vehicles. The increase in the overall growing importance of electric vehicles has also been explained in this work. Battery management system has an importance in the functioning of electric vehicles, thus presenting the key highlights of this article. The finding presents the importance of batteries and their type used in EVs. The simulation results of the Lithium battery cell – 1 RC, 2 RC equivalent circuit parameters such as charging current, terminal voltage, state of charge, and battery current have been simulated and analysed in Matlab. The future scope of BMS and its development has been discussed.
{"title":"Design and analysis of battery management system in electric vehicle","authors":"M. Parameswari, S. Usha","doi":"10.4108/ew.5003","DOIUrl":"https://doi.org/10.4108/ew.5003","url":null,"abstract":"The usage of electric vehicles is gaining momentum in recent time’s thus providing support to the growth in sales of electric vehicles. The Battery management system is the most important aspect to ensure the smooth functioning of an electric vehicle. This research highlights some key statements on the background of electric vehicles. The increase in the overall growing importance of electric vehicles has also been explained in this work. Battery management system has an importance in the functioning of electric vehicles, thus presenting the key highlights of this article. The finding presents the importance of batteries and their type used in EVs. The simulation results of the Lithium battery cell – 1 RC, 2 RC equivalent circuit parameters such as charging current, terminal voltage, state of charge, and battery current have been simulated and analysed in Matlab. The future scope of BMS and its development has been discussed.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"20 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139890023","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}
Jency Rubia J, Sherin Shibi C, Rosi A, Babitha Lincy R, E. Nithila
Quantum computing is a fascinating and rapidly evolving field of technology that promises to revolutionize many areas of science, engineering, and society. The fundamental unit of quantum computing is the quantum bit that can exist in two or more states concurrently, as opposed to a classical bit that can only be either 0 or 1. Any subatomic element, including atoms, electrons, and photons, can be used to implement qubits. The chosen sub-atomic elements should have quantum mechanical properties. Most commonly, photons have been used to implement qubits. Qubits can be manipulated and read by applying external fields or pulses, such as lasers, magnets, or microwaves. Quantum computers are currently suffering from various complications such as size, operating temperature, coherence problems, entanglement, etc. The realization of quantum computing, a novel paradigm that uses quantum mechanical phenomena to do computations that are not possible with classical computers, is made possible, most crucially, by the need for a quantum processor and a quantum SOC. As a result, Cryo-CMOS technology can make it possible to integrate a Quantum system on a chip. Cryo-CMOS devices are electronic circuits that operate at cryogenic temperatures, usually below 77 K (−196 °C).
{"title":"Deep Cryogenic Temperature CMOS Circuit and System Design for Quantum Computing Applications","authors":"Jency Rubia J, Sherin Shibi C, Rosi A, Babitha Lincy R, E. Nithila","doi":"10.4108/ew.4997","DOIUrl":"https://doi.org/10.4108/ew.4997","url":null,"abstract":"Quantum computing is a fascinating and rapidly evolving field of technology that promises to revolutionize many areas of science, engineering, and society. The fundamental unit of quantum computing is the quantum bit that can exist in two or more states concurrently, as opposed to a classical bit that can only be either 0 or 1. Any subatomic element, including atoms, electrons, and photons, can be used to implement qubits. The chosen sub-atomic elements should have quantum mechanical properties. Most commonly, photons have been used to implement qubits. Qubits can be manipulated and read by applying external fields or pulses, such as lasers, magnets, or microwaves. Quantum computers are currently suffering from various complications such as size, operating temperature, coherence problems, entanglement, etc. The realization of quantum computing, a novel paradigm that uses quantum mechanical phenomena to do computations that are not possible with classical computers, is made possible, most crucially, by the need for a quantum processor and a quantum SOC. As a result, Cryo-CMOS technology can make it possible to integrate a Quantum system on a chip. Cryo-CMOS devices are electronic circuits that operate at cryogenic temperatures, usually below 77 K (−196 °C).","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139872230","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}
P. Mangayarkarasi, Arunkumar K, Anitha Juliette Albert
Single event upsets (SEUs), which are caused by radiation particles, have emerged as a significant concern in aircraft applications. Soft mistakes, which manifest as corruption of data in memory chips and circuit faults, are mostly produced by SEUs. The utilization of SEUs can have both advantageous and detrimental effects in some critical memory applications. Nevertheless, in adherence to design principles, Radiation-Hardening-By-Design (RHBD) methodologies have been employed to mitigate the impact of soft mistakes in memory. This study presents a novel memory cell design, referred to as a Robust 10T memory cell, which aims to improve dependability in the context of aerospace radiation environments. The proposed design has several advantages, including reduced area, low power consumption, good stability, and a decreased number of transistors. Simulations were conducted using the TSMC 65nm CMO technology, employing the Tanner tool. The parameters of the RHB 10T cell were measured and afterwards compared to those of the 12T memory cell. The findings obtained from the simulation demonstrate that the performance of the 10T memory cell surpasses that of the 12T memory cell.
{"title":"Design and Comparison of SEU Tolerant 10T Memory Cell for Radiation Environment Applications","authors":"P. Mangayarkarasi, Arunkumar K, Anitha Juliette Albert","doi":"10.4108/ew.5006","DOIUrl":"https://doi.org/10.4108/ew.5006","url":null,"abstract":"Single event upsets (SEUs), which are caused by radiation particles, have emerged as a significant concern in aircraft applications. Soft mistakes, which manifest as corruption of data in memory chips and circuit faults, are mostly produced by SEUs. The utilization of SEUs can have both advantageous and detrimental effects in some critical memory applications. Nevertheless, in adherence to design principles, Radiation-Hardening-By-Design (RHBD) methodologies have been employed to mitigate the impact of soft mistakes in memory. This study presents a novel memory cell design, referred to as a Robust 10T memory cell, which aims to improve dependability in the context of aerospace radiation environments. The proposed design has several advantages, including reduced area, low power consumption, good stability, and a decreased number of transistors. Simulations were conducted using the TSMC 65nm CMO technology, employing the Tanner tool. The parameters of the RHB 10T cell were measured and afterwards compared to those of the 12T memory cell. The findings obtained from the simulation demonstrate that the performance of the 10T memory cell surpasses that of the 12T memory cell.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"38 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139871823","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}
Jency Rubia J, Sherin Shibi C, Rosi A, Babitha Lincy R, E. Nithila
Quantum computing is a fascinating and rapidly evolving field of technology that promises to revolutionize many areas of science, engineering, and society. The fundamental unit of quantum computing is the quantum bit that can exist in two or more states concurrently, as opposed to a classical bit that can only be either 0 or 1. Any subatomic element, including atoms, electrons, and photons, can be used to implement qubits. The chosen sub-atomic elements should have quantum mechanical properties. Most commonly, photons have been used to implement qubits. Qubits can be manipulated and read by applying external fields or pulses, such as lasers, magnets, or microwaves. Quantum computers are currently suffering from various complications such as size, operating temperature, coherence problems, entanglement, etc. The realization of quantum computing, a novel paradigm that uses quantum mechanical phenomena to do computations that are not possible with classical computers, is made possible, most crucially, by the need for a quantum processor and a quantum SOC. As a result, Cryo-CMOS technology can make it possible to integrate a Quantum system on a chip. Cryo-CMOS devices are electronic circuits that operate at cryogenic temperatures, usually below 77 K (−196 °C).
{"title":"Deep Cryogenic Temperature CMOS Circuit and System Design for Quantum Computing Applications","authors":"Jency Rubia J, Sherin Shibi C, Rosi A, Babitha Lincy R, E. Nithila","doi":"10.4108/ew.4997","DOIUrl":"https://doi.org/10.4108/ew.4997","url":null,"abstract":"Quantum computing is a fascinating and rapidly evolving field of technology that promises to revolutionize many areas of science, engineering, and society. The fundamental unit of quantum computing is the quantum bit that can exist in two or more states concurrently, as opposed to a classical bit that can only be either 0 or 1. Any subatomic element, including atoms, electrons, and photons, can be used to implement qubits. The chosen sub-atomic elements should have quantum mechanical properties. Most commonly, photons have been used to implement qubits. Qubits can be manipulated and read by applying external fields or pulses, such as lasers, magnets, or microwaves. Quantum computers are currently suffering from various complications such as size, operating temperature, coherence problems, entanglement, etc. The realization of quantum computing, a novel paradigm that uses quantum mechanical phenomena to do computations that are not possible with classical computers, is made possible, most crucially, by the need for a quantum processor and a quantum SOC. As a result, Cryo-CMOS technology can make it possible to integrate a Quantum system on a chip. Cryo-CMOS devices are electronic circuits that operate at cryogenic temperatures, usually below 77 K (−196 °C).","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"55 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139812272","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}
P. Mangayarkarasi, Arunkumar K, Anitha Juliette Albert
Single event upsets (SEUs), which are caused by radiation particles, have emerged as a significant concern in aircraft applications. Soft mistakes, which manifest as corruption of data in memory chips and circuit faults, are mostly produced by SEUs. The utilization of SEUs can have both advantageous and detrimental effects in some critical memory applications. Nevertheless, in adherence to design principles, Radiation-Hardening-By-Design (RHBD) methodologies have been employed to mitigate the impact of soft mistakes in memory. This study presents a novel memory cell design, referred to as a Robust 10T memory cell, which aims to improve dependability in the context of aerospace radiation environments. The proposed design has several advantages, including reduced area, low power consumption, good stability, and a decreased number of transistors. Simulations were conducted using the TSMC 65nm CMO technology, employing the Tanner tool. The parameters of the RHB 10T cell were measured and afterwards compared to those of the 12T memory cell. The findings obtained from the simulation demonstrate that the performance of the 10T memory cell surpasses that of the 12T memory cell.
{"title":"Design and Comparison of SEU Tolerant 10T Memory Cell for Radiation Environment Applications","authors":"P. Mangayarkarasi, Arunkumar K, Anitha Juliette Albert","doi":"10.4108/ew.5006","DOIUrl":"https://doi.org/10.4108/ew.5006","url":null,"abstract":"Single event upsets (SEUs), which are caused by radiation particles, have emerged as a significant concern in aircraft applications. Soft mistakes, which manifest as corruption of data in memory chips and circuit faults, are mostly produced by SEUs. The utilization of SEUs can have both advantageous and detrimental effects in some critical memory applications. Nevertheless, in adherence to design principles, Radiation-Hardening-By-Design (RHBD) methodologies have been employed to mitigate the impact of soft mistakes in memory. This study presents a novel memory cell design, referred to as a Robust 10T memory cell, which aims to improve dependability in the context of aerospace radiation environments. The proposed design has several advantages, including reduced area, low power consumption, good stability, and a decreased number of transistors. Simulations were conducted using the TSMC 65nm CMO technology, employing the Tanner tool. The parameters of the RHB 10T cell were measured and afterwards compared to those of the 12T memory cell. The findings obtained from the simulation demonstrate that the performance of the 10T memory cell surpasses that of the 12T memory cell.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139811812","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}
Smart Grid is a cyber-physical system that incorporates Information and Communication Technologies (ICT) into the physical power system, which introduces vulnerabilities to the grid and opens the door to cyber attacks. Wide area protection is one of the most important smart grid applications that aims at protecting the power system against faults and disturbances, which makes it an attractive target to cyber attacks, aiming at compromising the reliability of the power system. Understanding the interaction between the cyber and physical components of the smart grid and analyzing the damage that cyber-attacks can do to wide area protection is very important as it helps in developing effective mitigation approaches. This paper evaluates the impact of cyber attacks on a wide area distance relay backup protection scheme in real-time, through the development of a co-simulation platform based on Real Time Digital Simulator (RTDS) and network simulator 3 (NS3) and using the IEEE-14 bus power system model.
{"title":"Real-Time Co-Simulation for the Analysis of Cyber Attacks Impact on Distance Relay Backup Protection","authors":"Nadia Boumkheld, G. Deconinck, Rick Loenders","doi":"10.4108/ew.4862","DOIUrl":"https://doi.org/10.4108/ew.4862","url":null,"abstract":"Smart Grid is a cyber-physical system that incorporates Information and Communication Technologies (ICT) into the physical power system, which introduces vulnerabilities to the grid and opens the door to cyber attacks. Wide area protection is one of the most important smart grid applications that aims at protecting the power system against faults and disturbances, which makes it an attractive target to cyber attacks, aiming at compromising the reliability of the power system. Understanding the interaction between the cyber and physical components of the smart grid and analyzing the damage that cyber-attacks can do to wide area protection is very important as it helps in developing effective mitigation approaches. This paper evaluates the impact of cyber attacks on a wide area distance relay backup protection scheme in real-time, through the development of a co-simulation platform based on Real Time Digital Simulator (RTDS) and network simulator 3 (NS3) and using the IEEE-14 bus power system model.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"48 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139528125","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}
The energy sector, both in the UK and globally, faces significant challenges in the pursuit of sustainability and efficient resource utilization. Climate change, resource depletion, and the need for decarbonization demand innovative solutions. This analytical research paper examines the key challenges in the energy sector and explores how generative AI, digital twins, AI, and data science can play a transformative role in addressing these challenges. By leveraging advanced technologies and data-driven approaches, the energy sector can achieve greater efficiency, optimize operations, and facilitate informed decision-making. Artificial Intelligence (AI) involves replicating human-like intelligence in machines, enabling them to execute tasks that typically demand human cognitive capabilities like perception, reasoning, learning, and problem[1]solving. AI encompasses various methodologies and technologies, such as machine learning, natural language processing, computer vision, and robotics. Its adoption in the energy sector carries significant promise for addressing critical concerns and revolutionizing the industry. An overarching challenge in the energy sector revolves around enhancing energy efficiency, and AI emerges as a pivotal tool for optimizing energy utilization and curbing wastage. By analyzing vast amounts of data from various sources such as sensors, smart meters, and historical energy consumption patterns, AI algorithms can identify patterns and anomalies that humans may not detect. This enables the development of predictive models and algorithms that optimize energy consumption, leading to significant energy savings.
{"title":"Transforming the Energy Sector: Addressing Key Challenges through Generative AI, Digital Twins, AI, Data Science and Analysis","authors":"Praveen Tomar, Veena Grover","doi":"10.4108/ew.4825","DOIUrl":"https://doi.org/10.4108/ew.4825","url":null,"abstract":"The energy sector, both in the UK and globally, faces significant challenges in the pursuit of sustainability and efficient resource utilization. Climate change, resource depletion, and the need for decarbonization demand innovative solutions. This analytical research paper examines the key challenges in the energy sector and explores how generative AI, digital twins, AI, and data science can play a transformative role in addressing these challenges. By leveraging advanced technologies and data-driven approaches, the energy sector can achieve greater efficiency, optimize operations, and facilitate informed decision-making. Artificial Intelligence (AI) involves replicating human-like intelligence in machines, enabling them to execute tasks that typically demand human cognitive capabilities like perception, reasoning, learning, and problem[1]solving. AI encompasses various methodologies and technologies, such as machine learning, natural language processing, computer vision, and robotics. Its adoption in the energy sector carries significant promise for addressing critical concerns and revolutionizing the industry. An overarching challenge in the energy sector revolves around enhancing energy efficiency, and AI emerges as a pivotal tool for optimizing energy utilization and curbing wastage. By analyzing vast amounts of data from various sources such as sensors, smart meters, and historical energy consumption patterns, AI algorithms can identify patterns and anomalies that humans may not detect. This enables the development of predictive models and algorithms that optimize energy consumption, leading to significant energy savings.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"42 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139533908","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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