Tosin Michael Olatunde, Azubuike Chukwudi Okwandu, Dorcas Oluwajuwonlo Akande, Zamathula Queen Sikhakhane
Smart grids have emerged as a key technology in the quest for energy efficiency and sustainability. This review provides a comprehensive analysis of the impact of smart grids on energy efficiency, highlighting key findings, challenges, and future directions. Smart grids leverage advanced sensing, communication, and control technologies to optimize the generation, distribution, and consumption of electricity. By enabling two-way communication between utilities and consumers, smart grids improve grid reliability, reduce energy losses, and facilitate the integration of renewable energy sources. One of the key findings of this review is the significant impact of smart grids on energy efficiency. Studies have shown that smart grids can reduce energy consumption by enabling real-time monitoring and control of energy usage. This not only helps consumers reduce their electricity bills but also reduces the overall carbon footprint of the electricity sector. However, the deployment of smart grids faces several challenges, including high upfront costs, interoperability issues, and data privacy concerns. Addressing these challenges will be crucial for the widespread adoption of smart grid technologies. Looking ahead, the future of smart grids holds great promise for further improving energy efficiency. Emerging trends such as the Internet of Things (IoT) integration, artificial intelligence (AI) algorithms, and distributed energy resources (DERs) management are expected to drive further innovation in smart grid technologies. In conclusion, smart grids have a transformative impact on energy efficiency, offering significant benefits for consumers, utilities, and the environment. However, addressing challenges such as cost and interoperability will be crucial for realizing the full potential of smart grids. By embracing emerging trends and technologies, stakeholders can further enhance the efficiency and sustainability of the electricity sector. Keywords: Impact, Smart Grid, Energy, Efficiency, Review.
{"title":"THE IMPACT OF SMART GRIDS ON ENERGY EFFICIENCY: A COMPREHENSIVE REVIEW","authors":"Tosin Michael Olatunde, Azubuike Chukwudi Okwandu, Dorcas Oluwajuwonlo Akande, Zamathula Queen Sikhakhane","doi":"10.51594/estj.v5i4.1016","DOIUrl":"https://doi.org/10.51594/estj.v5i4.1016","url":null,"abstract":"Smart grids have emerged as a key technology in the quest for energy efficiency and sustainability. This review provides a comprehensive analysis of the impact of smart grids on energy efficiency, highlighting key findings, challenges, and future directions. Smart grids leverage advanced sensing, communication, and control technologies to optimize the generation, distribution, and consumption of electricity. By enabling two-way communication between utilities and consumers, smart grids improve grid reliability, reduce energy losses, and facilitate the integration of renewable energy sources. One of the key findings of this review is the significant impact of smart grids on energy efficiency. Studies have shown that smart grids can reduce energy consumption by enabling real-time monitoring and control of energy usage. This not only helps consumers reduce their electricity bills but also reduces the overall carbon footprint of the electricity sector. However, the deployment of smart grids faces several challenges, including high upfront costs, interoperability issues, and data privacy concerns. Addressing these challenges will be crucial for the widespread adoption of smart grid technologies. Looking ahead, the future of smart grids holds great promise for further improving energy efficiency. Emerging trends such as the Internet of Things (IoT) integration, artificial intelligence (AI) algorithms, and distributed energy resources (DERs) management are expected to drive further innovation in smart grid technologies. In conclusion, smart grids have a transformative impact on energy efficiency, offering significant benefits for consumers, utilities, and the environment. However, addressing challenges such as cost and interoperability will be crucial for realizing the full potential of smart grids. By embracing emerging trends and technologies, stakeholders can further enhance the efficiency and sustainability of the electricity sector. \u0000Keywords: Impact, Smart Grid, Energy, Efficiency, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718136","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}
Osayi Philip Igbinenikaro, Oladipo Olugbenga Adekoya, Emmanuel Augustine Etukudoh
This paper presents a comprehensive review of modern bathymetric survey techniques and their impact on offshore energy development. Bathymetric surveys play a crucial role in mapping the seafloor and are essential for various offshore activities, including oil and gas exploration, renewable energy development, and submarine cable installation. The review synthesizes recent advancements in bathymetric surveying technologies, focusing on their role in improving the exploration and monitoring of offshore energy resources. The first section of the paper provides an overview of traditional bathymetric survey methods, such as single-beam and multi-beam echo sounders, which have been widely used for mapping the seafloor. The limitations of these methods, including limited coverage and resolution, are discussed, highlighting the need for more advanced techniques. The second section of the paper discusses the recent advancements in bathymetric survey technologies, such as airborne lidar, satellite-derived bathymetry, and unmanned surface vehicles (USVs). These technologies offer significant improvements in terms of coverage, resolution, and efficiency compared to traditional methods. For example, airborne lidar can provide high-resolution bathymetric data over large areas, making it ideal for rapid seafloor mapping in offshore energy exploration. The third section of the paper examines the impact of these advancements on offshore energy development. Improved bathymetric surveying techniques enable more accurate mapping of the seafloor, which is crucial for identifying suitable locations for offshore energy infrastructure, such as oil and gas platforms, wind farms, and wave energy converters. Furthermore, these techniques facilitate the monitoring of underwater structures and environmental changes, helping to ensure the safe and sustainable operation of offshore energy facilities. In conclusion, modern bathymetric survey techniques have revolutionized offshore energy development by providing more accurate, efficient, and cost-effective methods for mapping the seafloor. These advancements are essential for meeting the growing demand for offshore energy resources while minimizing environmental impact and ensuring operational safety. Keywords: Modern Bathymetric, Survey Techniques, Impact, Offshore Energy, Development.
{"title":"REVIEW OF MODERN BATHYMETRIC SURVEY TECHNIQUES AND THEIR IMPACT ON OFFSHORE ENERGY DEVELOPMENT","authors":"Osayi Philip Igbinenikaro, Oladipo Olugbenga Adekoya, Emmanuel Augustine Etukudoh","doi":"10.51594/estj.v5i4.1018","DOIUrl":"https://doi.org/10.51594/estj.v5i4.1018","url":null,"abstract":"This paper presents a comprehensive review of modern bathymetric survey techniques and their impact on offshore energy development. Bathymetric surveys play a crucial role in mapping the seafloor and are essential for various offshore activities, including oil and gas exploration, renewable energy development, and submarine cable installation. The review synthesizes recent advancements in bathymetric surveying technologies, focusing on their role in improving the exploration and monitoring of offshore energy resources. The first section of the paper provides an overview of traditional bathymetric survey methods, such as single-beam and multi-beam echo sounders, which have been widely used for mapping the seafloor. The limitations of these methods, including limited coverage and resolution, are discussed, highlighting the need for more advanced techniques. The second section of the paper discusses the recent advancements in bathymetric survey technologies, such as airborne lidar, satellite-derived bathymetry, and unmanned surface vehicles (USVs). These technologies offer significant improvements in terms of coverage, resolution, and efficiency compared to traditional methods. For example, airborne lidar can provide high-resolution bathymetric data over large areas, making it ideal for rapid seafloor mapping in offshore energy exploration. The third section of the paper examines the impact of these advancements on offshore energy development. Improved bathymetric surveying techniques enable more accurate mapping of the seafloor, which is crucial for identifying suitable locations for offshore energy infrastructure, such as oil and gas platforms, wind farms, and wave energy converters. Furthermore, these techniques facilitate the monitoring of underwater structures and environmental changes, helping to ensure the safe and sustainable operation of offshore energy facilities. In conclusion, modern bathymetric survey techniques have revolutionized offshore energy development by providing more accurate, efficient, and cost-effective methods for mapping the seafloor. These advancements are essential for meeting the growing demand for offshore energy resources while minimizing environmental impact and ensuring operational safety. \u0000Keywords: Modern Bathymetric, Survey Techniques, Impact, Offshore Energy, Development.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140717213","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}
Ayodeji Abatan, Nwankwo Constance Obiuto, Nwakamma Ninduwezuor-Ehiobu, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Ejike David Ugwuanyi
The Fast-Moving Consumer Goods (FMCG) sector operates in a dynamic environment, facing numerous challenges in maintaining Health, Safety, and Environment (HSE) standards while meeting the demands of a rapidly evolving market. To address these challenges, integrating advanced technologies has emerged as a strategic approach for enhancing HSE management practices within the FMCG sector. This review explores the integration of various advanced technologies and their impact on improving HSE management in the FMCG industry. The utilization of technologies such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics has revolutionized HSE management practices in the FMCG sector. IoT sensors embedded in production machinery and equipment enable real-time monitoring of environmental conditions, equipment performance, and worker safety. AI-driven predictive analytics algorithms analyze vast amounts of data to identify potential safety hazards, predict equipment failures, and optimize HSE protocols. Furthermore, the adoption of wearable devices equipped with biometric sensors provides continuous health monitoring for employees, ensuring early detection of fatigue, stress, or other health-related issues. Virtual Reality (VR) and Augmented Reality (AR) technologies are utilized for immersive HSE training simulations, enabling employees to practice safety procedures in realistic virtual environments, thus enhancing their preparedness for real-life scenarios. Moreover, the integration of drone technology facilitates remote monitoring of vast operational areas, enabling quick identification of potential hazards and swift response to emergencies. Additionally, blockchain technology ensures the transparency and traceability of HSE data across the supply chain, enhancing accountability and compliance with regulatory standards. The integration of advanced technologies holds significant promise for enhancing HSE management practices in the FMCG sector, fostering a safer and more sustainable operational environment while addressing the evolving challenges of the industry. Keywords: HSE, Management, FMCG, Technologies, Technology, Review, Innovation.
{"title":"INTEGRATING ADVANCED TECHNOLOGIES FOR ENHANCED HSE MANAGEMENT IN THE FMCG SECTOR","authors":"Ayodeji Abatan, Nwankwo Constance Obiuto, Nwakamma Ninduwezuor-Ehiobu, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Ejike David Ugwuanyi","doi":"10.51594/estj.v5i4.1017","DOIUrl":"https://doi.org/10.51594/estj.v5i4.1017","url":null,"abstract":"The Fast-Moving Consumer Goods (FMCG) sector operates in a dynamic environment, facing numerous challenges in maintaining Health, Safety, and Environment (HSE) standards while meeting the demands of a rapidly evolving market. To address these challenges, integrating advanced technologies has emerged as a strategic approach for enhancing HSE management practices within the FMCG sector. This review explores the integration of various advanced technologies and their impact on improving HSE management in the FMCG industry. The utilization of technologies such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics has revolutionized HSE management practices in the FMCG sector. IoT sensors embedded in production machinery and equipment enable real-time monitoring of environmental conditions, equipment performance, and worker safety. AI-driven predictive analytics algorithms analyze vast amounts of data to identify potential safety hazards, predict equipment failures, and optimize HSE protocols. Furthermore, the adoption of wearable devices equipped with biometric sensors provides continuous health monitoring for employees, ensuring early detection of fatigue, stress, or other health-related issues. Virtual Reality (VR) and Augmented Reality (AR) technologies are utilized for immersive HSE training simulations, enabling employees to practice safety procedures in realistic virtual environments, thus enhancing their preparedness for real-life scenarios. Moreover, the integration of drone technology facilitates remote monitoring of vast operational areas, enabling quick identification of potential hazards and swift response to emergencies. Additionally, blockchain technology ensures the transparency and traceability of HSE data across the supply chain, enhancing accountability and compliance with regulatory standards. The integration of advanced technologies holds significant promise for enhancing HSE management practices in the FMCG sector, fostering a safer and more sustainable operational environment while addressing the evolving challenges of the industry. \u0000Keywords: HSE, Management, FMCG, Technologies, Technology, Review, Innovation.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"10 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140716643","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 paper explores the integration of AI in smart drilling technologies, examining its applications, benefits, challenges, and future prospects. By harnessing the power of AI, smart drilling technologies enable proactive decision-making, automation, and optimization throughout the drilling lifecycle. From well planning and design to real-time monitoring and control, AI-driven systems improve operational performance, reduce risks, and maximize resource recovery. Despite facing challenges such as data integration, technology adoption, and regulatory compliance, the potential benefits of smart drilling technologies are substantial. Enhanced precision, improved safety, increased efficiency, and sustainable practices are among the key benefits offered by these technologies. Looking towards the future, opportunities for further innovation and advancement abound, including the development of advanced AI algorithms, integration with IoT and big data analytics, and a focus on environmental sustainability. By embracing innovation, collaboration, and a commitment to sustainability, the oil and gas industry can unlock new opportunities for growth and resilience in the evolving landscape of oil and gas well construction. Smart drilling technologies hold the promise of reshaping the future of well construction, paving the way for safer, more efficient, and sustainable drilling operations in the oil and gas industry. Smart drilling technologies are revolutionizing the oil and gas industry, offering unprecedented levels of precision and safety in well construction. By integrating artificial intelligence (AI) into drilling processes, these technologies optimize drilling parameters, reduce risks, and maximize resource recovery.. Enhanced precision, improved safety, increased efficiency, and sustainable practices are among the key benefits offered by these technologies. Looking towards the future, opportunities for further innovation and advancement abound, including the development of advanced AI algorithms, integration with IoT and big data analytics, and a focus on environmental sustainability. Keywords: Smart drilling, Artificial intelligence (AI), Oil and gas industry Efficiency, Safety, Sustainability.
{"title":"SMART DRILLING TECHNOLOGIES: HARNESSING AI FOR PRECISION AND SAFETY IN OIL AND GAS WELL CONSTRUCTION","authors":"Oladiran Kayode Olajiga, Nwankwo Constance Obiuto, Riliwan Adekola Adebayo, Igberaese clinton festus-ikhuoria","doi":"10.51594/estj.v5i4.1013","DOIUrl":"https://doi.org/10.51594/estj.v5i4.1013","url":null,"abstract":"This paper explores the integration of AI in smart drilling technologies, examining its applications, benefits, challenges, and future prospects. By harnessing the power of AI, smart drilling technologies enable proactive decision-making, automation, and optimization throughout the drilling lifecycle. From well planning and design to real-time monitoring and control, AI-driven systems improve operational performance, reduce risks, and maximize resource recovery. Despite facing challenges such as data integration, technology adoption, and regulatory compliance, the potential benefits of smart drilling technologies are substantial. Enhanced precision, improved safety, increased efficiency, and sustainable practices are among the key benefits offered by these technologies. Looking towards the future, opportunities for further innovation and advancement abound, including the development of advanced AI algorithms, integration with IoT and big data analytics, and a focus on environmental sustainability. By embracing innovation, collaboration, and a commitment to sustainability, the oil and gas industry can unlock new opportunities for growth and resilience in the evolving landscape of oil and gas well construction. Smart drilling technologies hold the promise of reshaping the future of well construction, paving the way for safer, more efficient, and sustainable drilling operations in the oil and gas industry. Smart drilling technologies are revolutionizing the oil and gas industry, offering unprecedented levels of precision and safety in well construction. By integrating artificial intelligence (AI) into drilling processes, these technologies optimize drilling parameters, reduce risks, and maximize resource recovery.. Enhanced precision, improved safety, increased efficiency, and sustainable practices are among the key benefits offered by these technologies. Looking towards the future, opportunities for further innovation and advancement abound, including the development of advanced AI algorithms, integration with IoT and big data analytics, and a focus on environmental sustainability. \u0000Keywords: Smart drilling, Artificial intelligence (AI), Oil and gas industry Efficiency, Safety, Sustainability.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140717800","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}
Tosin Michael Olatunde, Fatai Adeshina Adelani, Zamathula Queen Sikhakhane
This review paper comprehensively examines smart water management systems, focusing on their development, implementation, and impacts within Africa and the United States. It delves into the theoretical frameworks that underlie these systems, including integrating cyber-physical systems, sustainable development principles, and systems theory in water management. The paper further explores the technological innovations driving smart water management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and remote sensing. It discusses the policy and regulatory frameworks that support or hinder these advancements in different regions. Additionally, it assesses the environmental, social, and economic impacts of smart water management, highlighting the benefits of water conservation, improved access to clean water, and efficiency gains. The challenges facing the implementation of smart water management systems are critically analyzed, including technical, financial, and regulatory obstacles. Future directions for smart water management are also discussed, emphasizing the potential for scalability, adaptation, and the importance of cross-sectoral and international collaboration. The paper concludes by underscoring the necessity of integrating technology, policy, and community engagement in smart water management efforts and calls for further research and collaboration to harness the full potential of these systems in addressing global water challenges. Keywords: Smart Water Management, Internet of Things (IoT), Artificial Intelligence (AI), Sustainable Development, Policy Frameworks, Water Conservation.
{"title":"A REVIEW OF SMART WATER MANAGEMENT SYSTEMS FROM AFRICA AND THE UNITED STATES","authors":"Tosin Michael Olatunde, Fatai Adeshina Adelani, Zamathula Queen Sikhakhane","doi":"10.51594/estj.v5i4.1014","DOIUrl":"https://doi.org/10.51594/estj.v5i4.1014","url":null,"abstract":"This review paper comprehensively examines smart water management systems, focusing on their development, implementation, and impacts within Africa and the United States. It delves into the theoretical frameworks that underlie these systems, including integrating cyber-physical systems, sustainable development principles, and systems theory in water management. The paper further explores the technological innovations driving smart water management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and remote sensing. It discusses the policy and regulatory frameworks that support or hinder these advancements in different regions. Additionally, it assesses the environmental, social, and economic impacts of smart water management, highlighting the benefits of water conservation, improved access to clean water, and efficiency gains. The challenges facing the implementation of smart water management systems are critically analyzed, including technical, financial, and regulatory obstacles. Future directions for smart water management are also discussed, emphasizing the potential for scalability, adaptation, and the importance of cross-sectoral and international collaboration. The paper concludes by underscoring the necessity of integrating technology, policy, and community engagement in smart water management efforts and calls for further research and collaboration to harness the full potential of these systems in addressing global water challenges. \u0000Keywords: Smart Water Management, Internet of Things (IoT), Artificial Intelligence (AI), Sustainable Development, Policy Frameworks, Water Conservation.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718291","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}
Tosin Michael Olatunde, Azubuike Chukwudi Okwandu, Dorcas Oluwajuwonlo Akande, Zamathula Queen Sikhakhane
Artificial intelligence (AI) is revolutionizing the field of energy efficiency optimization by enabling advanced analysis and control of energy systems. This review provides a concise overview of the role of AI in enhancing energy efficiency. AI technologies, such as machine learning and neural networks, are being increasingly applied to optimize energy consumption in various sectors, including buildings, transportation, and industrial processes. These technologies analyze vast amounts of data to identify patterns and trends, enabling more precise control of energy systems and the prediction of energy demand. One of the key advantages of AI in energy efficiency optimization is its ability to adapt and learn from data, leading to continuous improvement in energy-saving strategies. AI algorithms can optimize energy consumption based on factors such as weather conditions, occupancy patterns, and energy prices, resulting in significant cost savings and environmental benefits. Furthermore, AI enables the integration of renewable energy sources into existing energy systems by predicting renewable energy generation and optimizing its use. This integration helps reduce reliance on fossil fuels and mitigates greenhouse gas emissions, contributing to a more sustainable energy future. However, the implementation of AI in energy efficiency optimization is not without challenges. These include data privacy concerns, the need for specialized skills to develop and deploy AI solutions, and the complexity of integrating AI systems into existing energy infrastructure. Addressing these challenges will be crucial for realizing the full potential of AI in energy efficiency optimization. In conclusion, AI holds great promise for enhancing energy efficiency by enabling more intelligent control and optimization of energy systems. By leveraging AI technologies, organizations can achieve significant energy savings, reduce costs, and contribute to a more sustainable and resilient energy future. Keywords: Role, AI, Energy, Efficiency, Optimization.
{"title":"REVIEWING THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENERGY EFFICIENCY OPTIMIZATION","authors":"Tosin Michael Olatunde, Azubuike Chukwudi Okwandu, Dorcas Oluwajuwonlo Akande, Zamathula Queen Sikhakhane","doi":"10.51594/estj.v5i4.1015","DOIUrl":"https://doi.org/10.51594/estj.v5i4.1015","url":null,"abstract":"Artificial intelligence (AI) is revolutionizing the field of energy efficiency optimization by enabling advanced analysis and control of energy systems. This review provides a concise overview of the role of AI in enhancing energy efficiency. AI technologies, such as machine learning and neural networks, are being increasingly applied to optimize energy consumption in various sectors, including buildings, transportation, and industrial processes. These technologies analyze vast amounts of data to identify patterns and trends, enabling more precise control of energy systems and the prediction of energy demand. One of the key advantages of AI in energy efficiency optimization is its ability to adapt and learn from data, leading to continuous improvement in energy-saving strategies. AI algorithms can optimize energy consumption based on factors such as weather conditions, occupancy patterns, and energy prices, resulting in significant cost savings and environmental benefits. Furthermore, AI enables the integration of renewable energy sources into existing energy systems by predicting renewable energy generation and optimizing its use. This integration helps reduce reliance on fossil fuels and mitigates greenhouse gas emissions, contributing to a more sustainable energy future. However, the implementation of AI in energy efficiency optimization is not without challenges. These include data privacy concerns, the need for specialized skills to develop and deploy AI solutions, and the complexity of integrating AI systems into existing energy infrastructure. Addressing these challenges will be crucial for realizing the full potential of AI in energy efficiency optimization. In conclusion, AI holds great promise for enhancing energy efficiency by enabling more intelligent control and optimization of energy systems. By leveraging AI technologies, organizations can achieve significant energy savings, reduce costs, and contribute to a more sustainable and resilient energy future. \u0000Keywords: Role, AI, Energy, Efficiency, Optimization.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"2008 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718568","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 exploration and extraction of onshore gas resources play a pivotal role in meeting global energy demands. However, traditional practices in onshore gas exploration often come at a significant environmental cost, particularly in terms of carbon emissions. In response to growing concerns about climate change and environmental degradation, there is an urgent need for sustainable strategies that incorporate carbon capture technologies into onshore gas exploration processes. This paper aims to explore various sustainable strategies that can be implemented in onshore gas exploration, focusing on the integration of carbon capture to ensure environmental compliance. Through a comprehensive review of existing literature and case studies, this paper identifies key challenges and opportunities in implementing carbon capture technologies in onshore gas exploration. Furthermore, it examines the economic, technical, and regulatory aspects of incorporating carbon capture into onshore gas exploration operations. The paper also discusses potential synergies between carbon capture and other sustainable practices, such as methane reduction and ecosystem restoration. Ultimately, this paper provides insights into how onshore gas exploration can transition towards a more sustainable and environmentally responsible industry, while still meeting energy demands. Keywords: Onshore Gas Exploration, Carbon Capture, Environmental Compliance, Sustainable Strategies, Climate Change Mitigation, Techno-Economic Analysis.
{"title":"SUSTAINABLE STRATEGIES IN ONSHORE GAS EXPLORATION: INCORPORATING CARBON CAPTURE FOR ENVIRONMENTAL COMPLIANCE","authors":"Obobi Ume Onwuka, Akinsola Adu","doi":"10.51594/estj.v5i4.995","DOIUrl":"https://doi.org/10.51594/estj.v5i4.995","url":null,"abstract":"The exploration and extraction of onshore gas resources play a pivotal role in meeting global energy demands. However, traditional practices in onshore gas exploration often come at a significant environmental cost, particularly in terms of carbon emissions. In response to growing concerns about climate change and environmental degradation, there is an urgent need for sustainable strategies that incorporate carbon capture technologies into onshore gas exploration processes. This paper aims to explore various sustainable strategies that can be implemented in onshore gas exploration, focusing on the integration of carbon capture to ensure environmental compliance. Through a comprehensive review of existing literature and case studies, this paper identifies key challenges and opportunities in implementing carbon capture technologies in onshore gas exploration. Furthermore, it examines the economic, technical, and regulatory aspects of incorporating carbon capture into onshore gas exploration operations. The paper also discusses potential synergies between carbon capture and other sustainable practices, such as methane reduction and ecosystem restoration. Ultimately, this paper provides insights into how onshore gas exploration can transition towards a more sustainable and environmentally responsible industry, while still meeting energy demands. \u0000Keywords: Onshore Gas Exploration, Carbon Capture, Environmental Compliance, Sustainable Strategies, Climate Change Mitigation, Techno-Economic Analysis.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"20 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140732671","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}
As the global demand for energy continues to rise, the imperative to balance this growth with environmental sustainability becomes increasingly crucial. This paper delves into the confluence of technological advancements in energy exploration and carbon management, aiming to create a framework for sustainable resource discovery. The study explores cutting-edge exploration techniques, incorporating advanced geophysical methods and artificial intelligence-driven data analytics, while concurrently addressing environmental concerns through effective carbon management strategies like carbon capture and storage (CCS) and utilization. The paper presents a holistic approach that synergizes innovative technologies, optimizing energy exploration processes and simultaneously mitigating environmental impacts. Through case studies, technological frameworks, and industry applications, we illustrate the practical implementation of these synergies. The findings underscore the significance of collaborative efforts between the energy and environmental sectors and provide a roadmap for future developments in the energy industry that align with global sustainability goals. This paper contributes to a comprehensive understanding of how technological synergies can drive sustainable resource discovery, presenting a compelling case for the integration of advanced exploration methods with carbon management strategies. The proposed framework not only addresses the pressing challenges of meeting energy demands but also ensures a responsible and sustainable trajectory for the future of the energy industry. Keywords: Technological Synergies, Sustainable, Resource Discovery, Energy Exploration, Carbon, Management.
{"title":"TECHNOLOGICAL SYNERGIES FOR SUSTAINABLE RESOURCE DISCOVERY: ENHANCING ENERGY EXPLORATION WITH CARBON MANAGEMENT","authors":"Obobi Ume Onwuka, Akinsola Adu","doi":"10.51594/estj.v5i4.996","DOIUrl":"https://doi.org/10.51594/estj.v5i4.996","url":null,"abstract":"As the global demand for energy continues to rise, the imperative to balance this growth with environmental sustainability becomes increasingly crucial. This paper delves into the confluence of technological advancements in energy exploration and carbon management, aiming to create a framework for sustainable resource discovery. The study explores cutting-edge exploration techniques, incorporating advanced geophysical methods and artificial intelligence-driven data analytics, while concurrently addressing environmental concerns through effective carbon management strategies like carbon capture and storage (CCS) and utilization. The paper presents a holistic approach that synergizes innovative technologies, optimizing energy exploration processes and simultaneously mitigating environmental impacts. Through case studies, technological frameworks, and industry applications, we illustrate the practical implementation of these synergies. The findings underscore the significance of collaborative efforts between the energy and environmental sectors and provide a roadmap for future developments in the energy industry that align with global sustainability goals. This paper contributes to a comprehensive understanding of how technological synergies can drive sustainable resource discovery, presenting a compelling case for the integration of advanced exploration methods with carbon management strategies. The proposed framework not only addresses the pressing challenges of meeting energy demands but also ensures a responsible and sustainable trajectory for the future of the energy industry. \u0000Keywords: Technological Synergies, Sustainable, Resource Discovery, Energy Exploration, Carbon, Management.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140732882","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}
As the global community intensifies efforts to combat climate change, subsurface carbon sequestration emerges as a promising avenue for mitigating greenhouse gas emissions. This paper delves into the geoscientific perspective on the potential for subsurface carbon sequestration in offshore environments. The introduction provides a backdrop on the significance of carbon sequestration and outlines the objectives of exploring the feasibility and challenges associated with offshore subsurface storage. The overview section explores the mechanisms and comparative advantages of offshore carbon sequestration. Geoscientific factors influencing carbon sequestration, including geological characteristics, reservoir assessment, and seismic imaging, are examined in detail. Challenges and risks, both geological and technological, are scrutinized to provide a comprehensive understanding of the complexities involved. Real-world case studies and ongoing research initiatives shed light on successful projects and emerging trends in offshore carbon sequestration. The economic and environmental implications are discussed, emphasizing the need for a thorough cost-benefit analysis and environmental impact assessment. The regulatory framework and compliance standards, both current and future, are explored to ensure responsible implementation. The paper concludes with insights into the future prospects of subsurface carbon sequestration, emphasizing emerging technologies, research priorities, and the imperative for responsible practices. This geoscientific exploration seeks to contribute to the growing body of knowledge guiding sustainable solutions for carbon reduction in offshore environments. Keywords: Subsurface, Carbon, Sequestration Potential, Offshore, Environments, Geoscientific.
{"title":"SUBSURFACE CARBON SEQUESTRATION POTENTIAL IN OFFSHORE ENVIRONMENTS: A GEOSCIENTIFIC PERSPECTIVE","authors":"Obobi Ume Onwuka, Akinsola Adu","doi":"10.51594/estj.v5i4.994","DOIUrl":"https://doi.org/10.51594/estj.v5i4.994","url":null,"abstract":"As the global community intensifies efforts to combat climate change, subsurface carbon sequestration emerges as a promising avenue for mitigating greenhouse gas emissions. This paper delves into the geoscientific perspective on the potential for subsurface carbon sequestration in offshore environments. The introduction provides a backdrop on the significance of carbon sequestration and outlines the objectives of exploring the feasibility and challenges associated with offshore subsurface storage. The overview section explores the mechanisms and comparative advantages of offshore carbon sequestration. Geoscientific factors influencing carbon sequestration, including geological characteristics, reservoir assessment, and seismic imaging, are examined in detail. Challenges and risks, both geological and technological, are scrutinized to provide a comprehensive understanding of the complexities involved. Real-world case studies and ongoing research initiatives shed light on successful projects and emerging trends in offshore carbon sequestration. The economic and environmental implications are discussed, emphasizing the need for a thorough cost-benefit analysis and environmental impact assessment. The regulatory framework and compliance standards, both current and future, are explored to ensure responsible implementation. The paper concludes with insights into the future prospects of subsurface carbon sequestration, emphasizing emerging technologies, research priorities, and the imperative for responsible practices. This geoscientific exploration seeks to contribute to the growing body of knowledge guiding sustainable solutions for carbon reduction in offshore environments. \u0000Keywords: Subsurface, Carbon, Sequestration Potential, Offshore, Environments, Geoscientific.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"42 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140733021","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}
Remigius Obinna Okeke, Akan Ime Ibokette, Onuh Matthew Ijiga, Enyejo, Lawrence Anebi, Godslove Isenyo Ebiega, Odeyemi Michael Olumubo
This research investigated the assessment of power transformer reliability with emphasis on the transmission network within Rivers State in Nigeria, focusing on the perspectives of electricity consumers, organizational personnel, and business operators using descriptive survey. The study encompassed the entire population of 725,372 electricity consumers in the Port Harcourt Electricity Distribution Company (PEDC) in Rivers State, which included both households and business owners. To select a representative sample, the Convenience Sampling Technique was employed, resulting in the inclusion of 390 electricity consumers in Rivers State. Data collection utilized the Consumers Perception of Electricity Power Transformer Reliability (COPEPT) questionnaire and Structured Interview, with the instrument's reliability established through the test-retest technique, yielding a reliability coefficient for each investigation. Research questions were addressed through the weighted mean score (WMS) analysis. Key findings indicated dissatisfaction among electricity consumers in Rivers State, primarily attributed to factors such as transformer age, overall condition, uncontrolled overloading, adverse weather conditions, and inadequate transformer capacity to meet increasing demand. Addressing these issues, different approaches including upgrading or replacing outdated transformers, implementing limits on transformer loading, introducing robust earthing systems, and increasing transformer capacity, were recommended to enhance consumer satisfaction and overall reliability. The study further revealed that persistent power transformer failures resulted in power outages, adversely impacting businesses, households, communication, and contributing to reduced production and national income. Based on these findings, recommendations in the form of strategies were provided, emphasizing a comprehensive analysis of power surge control during adverse weather conditions, a plan for upgrading or replacing outdated transformers, an assessment of power transformer capacity needs, and collaboration with relevant stakeholders to develop strategies mitigating the negative economic impact and enhancing communication with consumers. Keywords: Reliability Assessment, Power Transformers, Rivers State and Transmission Network.
{"title":"THE RELIABILITY ASSESSMENT OF POWER TRANSFORMERS","authors":"Remigius Obinna Okeke, Akan Ime Ibokette, Onuh Matthew Ijiga, Enyejo, Lawrence Anebi, Godslove Isenyo Ebiega, Odeyemi Michael Olumubo","doi":"10.51594/estj.v5i4.981","DOIUrl":"https://doi.org/10.51594/estj.v5i4.981","url":null,"abstract":"This research investigated the assessment of power transformer reliability with emphasis on the transmission network within Rivers State in Nigeria, focusing on the perspectives of electricity consumers, organizational personnel, and business operators using descriptive survey. The study encompassed the entire population of 725,372 electricity consumers in the Port Harcourt Electricity Distribution Company (PEDC) in Rivers State, which included both households and business owners. To select a representative sample, the Convenience Sampling Technique was employed, resulting in the inclusion of 390 electricity consumers in Rivers State. Data collection utilized the Consumers Perception of Electricity Power Transformer Reliability (COPEPT) questionnaire and Structured Interview, with the instrument's reliability established through the test-retest technique, yielding a reliability coefficient for each investigation. Research questions were addressed through the weighted mean score (WMS) analysis. Key findings indicated dissatisfaction among electricity consumers in Rivers State, primarily attributed to factors such as transformer age, overall condition, uncontrolled overloading, adverse weather conditions, and inadequate transformer capacity to meet increasing demand. Addressing these issues, different approaches including upgrading or replacing outdated transformers, implementing limits on transformer loading, introducing robust earthing systems, and increasing transformer capacity, were recommended to enhance consumer satisfaction and overall reliability. The study further revealed that persistent power transformer failures resulted in power outages, adversely impacting businesses, households, communication, and contributing to reduced production and national income. Based on these findings, recommendations in the form of strategies were provided, emphasizing a comprehensive analysis of power surge control during adverse weather conditions, a plan for upgrading or replacing outdated transformers, an assessment of power transformer capacity needs, and collaboration with relevant stakeholders to develop strategies mitigating the negative economic impact and enhancing communication with consumers. \u0000Keywords: Reliability Assessment, Power Transformers, Rivers State and Transmission Network.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746387","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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