Henry Nwapali Ndidi Naiho, Oluwabunmi Layode, Gbenga Sheriff Adeleke, Ezekiel Onyekachukwu Udeh, Talabi Temitope Labake
This study systematically reviews the cybersecurity challenges in smart grid technologies and their implications for sustainable energy infrastructure. The primary objective is to analyze the vulnerabilities inherent in smart grids, evaluate existing cybersecurity measures, and propose strategic recommendations for enhancing security. Employing a systematic literature review and content analysis, this research scrutinizes peer-reviewed articles, technical reports, and standards documents published between 2014 and 2024. The methodology focuses on identifying cybersecurity threats, vulnerabilities, and mitigation strategies within smart grids, alongside exploring the role of standards, regulatory frameworks, and stakeholder responsibilities in enhancing grid security. Key findings reveal that while smart grids offer enhanced efficiency and reliability, they also introduce significant cybersecurity vulnerabilities due to the integration of ICT. Advanced cybersecurity measures, including encryption and real-time intrusion detection, are critical in safeguarding these infrastructures. The study underscores the importance of collaborative efforts among stakeholders and the development of comprehensive cybersecurity standards tailored to smart grid technologies. Finally, the future of smart grid cybersecurity presents both challenges and opportunities, with the potential for leveraging emerging technologies like blockchain and AI to enhance security measures. The study proposes several policy recommendations, including the enforcement of cybersecurity standards and the promotion of threat intelligence sharing. Conclusively, the research highlights the need for innovative security solutions and interdisciplinary research to bridge technical and policy-making domains, ensuring the secure and sustainable development of smart grid technologies. Keywords: Smart Grid Cybersecurity, Cybersecurity Vulnerabilities, Cybersecurity Measures, Sustainable Energy Infrastructure.
{"title":"Addressing cybersecurity challenges in smart grid technologies: Implications for sustainable energy infrastructure","authors":"Henry Nwapali Ndidi Naiho, Oluwabunmi Layode, Gbenga Sheriff Adeleke, Ezekiel Onyekachukwu Udeh, Talabi Temitope Labake","doi":"10.51594/estj.v5i6.1218","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1218","url":null,"abstract":"This study systematically reviews the cybersecurity challenges in smart grid technologies and their implications for sustainable energy infrastructure. The primary objective is to analyze the vulnerabilities inherent in smart grids, evaluate existing cybersecurity measures, and propose strategic recommendations for enhancing security. Employing a systematic literature review and content analysis, this research scrutinizes peer-reviewed articles, technical reports, and standards documents published between 2014 and 2024. The methodology focuses on identifying cybersecurity threats, vulnerabilities, and mitigation strategies within smart grids, alongside exploring the role of standards, regulatory frameworks, and stakeholder responsibilities in enhancing grid security. Key findings reveal that while smart grids offer enhanced efficiency and reliability, they also introduce significant cybersecurity vulnerabilities due to the integration of ICT. Advanced cybersecurity measures, including encryption and real-time intrusion detection, are critical in safeguarding these infrastructures. The study underscores the importance of collaborative efforts among stakeholders and the development of comprehensive cybersecurity standards tailored to smart grid technologies. Finally, the future of smart grid cybersecurity presents both challenges and opportunities, with the potential for leveraging emerging technologies like blockchain and AI to enhance security measures. The study proposes several policy recommendations, including the enforcement of cybersecurity standards and the promotion of threat intelligence sharing. Conclusively, the research highlights the need for innovative security solutions and interdisciplinary research to bridge technical and policy-making domains, ensuring the secure and sustainable development of smart grid technologies. \u0000Keywords: Smart Grid Cybersecurity, Cybersecurity Vulnerabilities, Cybersecurity Measures, Sustainable Energy Infrastructure.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"50 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347541","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}
Bayode Dona Simpson, Ebunoluwa Johnson, Gbenga Sheriff Adeleke, Chinazor Prisca Amajuoyi, Omorinsola Bibire Seyi- Lande
The rapid pace of technological advancements and the increasing demand for innovation have compelled technology firms to adopt Agile methodologies, which promote flexibility, speed, and customer-centric development. Concurrently, the explosion of Big Data has provided these firms with unprecedented opportunities to enhance their decision-making processes, optimize operations, and gain deeper insights into market and customer behaviors. This review explores the integration of Big Data with Agile transformation in technology firms, emphasizing implementation strategies and best practices to maximize the benefits of both paradigms. Agile transformation involves shifting from traditional, linear development processes to iterative and incremental methodologies that facilitate continuous improvement and adaptation. Big Data, characterized by its volume, velocity, variety, and veracity, offers valuable insights that can drive more informed and strategic decision-making within Agile frameworks. The integration of Big Data into Agile practices can significantly enhance product development cycles, improve customer satisfaction, and streamline operations. The implementation of Big Data in Agile transformation requires a well-defined strategy that includes setting clear objectives, building a robust data infrastructure, and ensuring data quality and security. Establishing success metrics aligned with business goals is crucial for measuring the impact of Big Data initiatives. Building a scalable data infrastructure involves deploying advanced data collection, storage, and processing solutions that can handle the diverse and voluminous data typical of technology firms. Ensuring data quality and integrity is essential for deriving accurate insights that inform Agile processes. Integrating Big Data with Agile practices involves incorporating data analytics into Agile ceremonies such as sprint planning, reviews, and retrospectives. This integration facilitates real-time feedback and continuous delivery, allowing teams to respond swiftly to changes and improve their products iteratively. Developing data competency within Agile teams is another critical aspect, requiring investments in training, upskilling employees, and hiring data science talent to interpret and leverage data effectively. Best practices for leveraging Big Data in Agile transformation include cultivating a data-driven culture that encourages data literacy and promotes transparency and collaboration across the organization. Advanced analytics and artificial intelligence (AI) play a pivotal role in harnessing predictive insights and enabling proactive decision-making. Implementing advanced data visualization tools helps teams understand complex data patterns and trends, enhancing their ability to make informed decisions. An iterative and incremental approach to implementation is recommended, starting with pilot projects to test and refine Big Data initiatives before scaling them across the organizat
{"title":"Leveraging big data for agile transformation in technology firms: Implementation and best practices","authors":"Bayode Dona Simpson, Ebunoluwa Johnson, Gbenga Sheriff Adeleke, Chinazor Prisca Amajuoyi, Omorinsola Bibire Seyi- Lande","doi":"10.51594/estj.v5i6.1216","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1216","url":null,"abstract":"The rapid pace of technological advancements and the increasing demand for innovation have compelled technology firms to adopt Agile methodologies, which promote flexibility, speed, and customer-centric development. Concurrently, the explosion of Big Data has provided these firms with unprecedented opportunities to enhance their decision-making processes, optimize operations, and gain deeper insights into market and customer behaviors. This review explores the integration of Big Data with Agile transformation in technology firms, emphasizing implementation strategies and best practices to maximize the benefits of both paradigms. Agile transformation involves shifting from traditional, linear development processes to iterative and incremental methodologies that facilitate continuous improvement and adaptation. Big Data, characterized by its volume, velocity, variety, and veracity, offers valuable insights that can drive more informed and strategic decision-making within Agile frameworks. The integration of Big Data into Agile practices can significantly enhance product development cycles, improve customer satisfaction, and streamline operations. The implementation of Big Data in Agile transformation requires a well-defined strategy that includes setting clear objectives, building a robust data infrastructure, and ensuring data quality and security. Establishing success metrics aligned with business goals is crucial for measuring the impact of Big Data initiatives. Building a scalable data infrastructure involves deploying advanced data collection, storage, and processing solutions that can handle the diverse and voluminous data typical of technology firms. Ensuring data quality and integrity is essential for deriving accurate insights that inform Agile processes. Integrating Big Data with Agile practices involves incorporating data analytics into Agile ceremonies such as sprint planning, reviews, and retrospectives. This integration facilitates real-time feedback and continuous delivery, allowing teams to respond swiftly to changes and improve their products iteratively. Developing data competency within Agile teams is another critical aspect, requiring investments in training, upskilling employees, and hiring data science talent to interpret and leverage data effectively. Best practices for leveraging Big Data in Agile transformation include cultivating a data-driven culture that encourages data literacy and promotes transparency and collaboration across the organization. Advanced analytics and artificial intelligence (AI) play a pivotal role in harnessing predictive insights and enabling proactive decision-making. Implementing advanced data visualization tools helps teams understand complex data patterns and trends, enhancing their ability to make informed decisions. An iterative and incremental approach to implementation is recommended, starting with pilot projects to test and refine Big Data initiatives before scaling them across the organizat","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347267","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}
Oluwatosin Ilori, Nelly Tochi Nwosu, Henry Nwapali Ndidi Naiho
This concept paper examines the integration of Agile methodologies into IT audit processes to enhance effectiveness and efficiency. In today's dynamic and rapidly evolving technological landscape, traditional audit approaches often struggle to keep pace with the speed and complexity of IT environments. Agile methodologies, originating from software development, offer a flexible and iterative framework that can revolutionize IT audit practices. The paper begins by highlighting the limitations of traditional audit methodologies in addressing the challenges posed by modern IT systems. It then introduces Agile principles and practices, explaining how they can be adapted and applied within the context of IT audits. By embracing Agile, auditors can shift from rigid, linear audit processes to iterative, collaborative approaches that promote adaptability, responsiveness, and continuous improvement. Key components of Agile methodologies, such as sprints, stand-up meetings, and user stories, are explored in the context of IT audits, demonstrating how they can streamline audit planning, execution, and reporting. The paper also discusses the cultural shift required for successful Agile adoption within audit teams and organizations, emphasizing the importance of communication, collaboration, and a mindset focused on delivering value. Through case studies and real-world examples, the paper illustrates the tangible benefits of applying Agile methodologies to IT audits. These include increased audit coverage, faster identification of risks and issues, enhanced stakeholder engagement, and improved alignment with business objectives. Additionally, Agile practices enable auditors to adapt to changing priorities and emerging risks more effectively, ensuring audit activities remain relevant and impactful in dynamic environments. Despite its potential benefits, Agile adoption in IT audits presents challenges such as cultural resistance, skill gaps, and the need for organizational support and buy-in. The paper addresses these challenges and proposes strategies for overcoming them, including training and development initiatives, stakeholder engagement, and pilot projects. In conclusion, the paper advocates for the integration of Agile methodologies into IT audit practices as a means to enhance effectiveness, responsiveness, and value delivery. By embracing Agile principles and practices, auditors can better meet the demands of today's digital landscape, driving continuous improvement and innovation in audit processes. In this concept paper, I analyze how the adoption of Agile methodologies, particularly Scrum, can revolutionize IT audits. I explore how these methodologies improve collaboration, adaptability, and overall audit effectiveness, supported by practical examples and insights from my professional experience. Keywords: Enhancing, IT, Audit Effectiveness, Agile Methodologies, Conceptual Exploration.
本概念文件探讨了如何将敏捷方法融入 IT 审计流程，以提高有效性和效率。在当今动态和快速发展的技术环境中，传统审计方法往往难以跟上 IT 环境的速度和复杂性。源于软件开发的敏捷方法提供了一个灵活的迭代框架，可以彻底改变 IT 审计实践。本文首先强调了传统审计方法在应对现代 IT 系统挑战方面的局限性。然后介绍了敏捷原则和实践，解释了如何在 IT 审计中调整和应用这些原则和实践。通过采用敏捷方法，审计人员可以从僵化、线性的审计流程转变为迭代、协作的方法，从而提高适应性、响应速度和持续改进能力。本文以 IT 审计为背景，探讨了敏捷方法的关键组成部分，如冲刺、站立会议和用户故事，展示了它们如何简化审计规划、执行和报告。本文还讨论了在审计团队和组织中成功采用敏捷方法所需的文化转变，强调了沟通、协作和注重交付价值的思维方式的重要性。通过案例研究和实际例子，本文说明了将敏捷方法应用于 IT 审计的切实好处。其中包括增加审计覆盖面、更快地识别风险和问题、加强利益相关者的参与以及提高与业务目标的一致性。此外，敏捷实践还能使审计人员更有效地适应不断变化的优先事项和新出现的风险，确保审计活动在动态环境中保持相关性和影响力。尽管敏捷审计具有潜在的优势，但在 IT 审计中采用敏捷审计也面临着一些挑战，如文化阻力、技能差距以及对组织支持和认同的需求。本文探讨了这些挑战，并提出了克服挑战的策略，包括培训和开发计划、利益相关者参与和试点项目。最后，本文提倡将敏捷方法融入 IT 审计实践，以此来提高效率、响应速度和价值交付。通过采用敏捷原则和实践，审计人员可以更好地满足当今数字环境的需求，推动审计流程的持续改进和创新。在本概念文件中，我分析了采用敏捷方法，尤其是 Scrum，如何彻底改变 IT 审计。我通过实际案例和我的专业经验见解，探讨了这些方法如何提高协作性、适应性和整体审计效率。关键词提高 IT 审计效率 敏捷方法 概念探索
{"title":"Enhancing IT audit effectiveness with agile methodologies: A conceptual exploration","authors":"Oluwatosin Ilori, Nelly Tochi Nwosu, Henry Nwapali Ndidi Naiho","doi":"10.51594/estj.v5i6.1217","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1217","url":null,"abstract":"This concept paper examines the integration of Agile methodologies into IT audit processes to enhance effectiveness and efficiency. In today's dynamic and rapidly evolving technological landscape, traditional audit approaches often struggle to keep pace with the speed and complexity of IT environments. Agile methodologies, originating from software development, offer a flexible and iterative framework that can revolutionize IT audit practices. The paper begins by highlighting the limitations of traditional audit methodologies in addressing the challenges posed by modern IT systems. It then introduces Agile principles and practices, explaining how they can be adapted and applied within the context of IT audits. By embracing Agile, auditors can shift from rigid, linear audit processes to iterative, collaborative approaches that promote adaptability, responsiveness, and continuous improvement. Key components of Agile methodologies, such as sprints, stand-up meetings, and user stories, are explored in the context of IT audits, demonstrating how they can streamline audit planning, execution, and reporting. The paper also discusses the cultural shift required for successful Agile adoption within audit teams and organizations, emphasizing the importance of communication, collaboration, and a mindset focused on delivering value. Through case studies and real-world examples, the paper illustrates the tangible benefits of applying Agile methodologies to IT audits. These include increased audit coverage, faster identification of risks and issues, enhanced stakeholder engagement, and improved alignment with business objectives. Additionally, Agile practices enable auditors to adapt to changing priorities and emerging risks more effectively, ensuring audit activities remain relevant and impactful in dynamic environments. Despite its potential benefits, Agile adoption in IT audits presents challenges such as cultural resistance, skill gaps, and the need for organizational support and buy-in. The paper addresses these challenges and proposes strategies for overcoming them, including training and development initiatives, stakeholder engagement, and pilot projects. In conclusion, the paper advocates for the integration of Agile methodologies into IT audit practices as a means to enhance effectiveness, responsiveness, and value delivery. By embracing Agile principles and practices, auditors can better meet the demands of today's digital landscape, driving continuous improvement and innovation in audit processes. In this concept paper, I analyze how the adoption of Agile methodologies, particularly Scrum, can revolutionize IT audits. I explore how these methodologies improve collaboration, adaptability, and overall audit effectiveness, supported by practical examples and insights from my professional experience. \u0000Keywords: Enhancing, IT, Audit Effectiveness, Agile Methodologies, Conceptual Exploration.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"27 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347349","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}
Andrew Emuobosa Esiri, Olusile Akinyele Babayeju, Ifeanyi Onyedika Ekemezie
Methane emissions from the oil and gas industry are a major contributor to climate change due to their high global warming potential. Accurate and standardized monitoring of these emissions is essential for effective mitigation. This review explores the current state of methane emission monitoring technologies, highlighting the strengths and limitations of direct measurement, remote sensing, and modeling approaches. It also examines the diverse regulatory frameworks and industry practices, identifying key challenges such as accuracy, consistency, and economic barriers. The paper proposes strategies for harmonizing monitoring standards globally, including adopting international guidelines, certification programs, and centralized reporting platforms. Additionally, it advocates for innovative regulatory approaches that incentivize better monitoring and reporting practices and emphasizes the need for international cooperation through data sharing and capacity building. The review concludes by discussing the potential impact of standardized monitoring on the industry, outlining future research and development directions, and calling for proactive steps by all stakeholders to achieve effective methane emission reduction. Keywords: Methane Emissions, Oil and Gas Industry, Monitoring Technologies and Regulatory Frameworks.
{"title":"Standardizing methane emission monitoring: A global policy perspective for the oil and gas industry","authors":"Andrew Emuobosa Esiri, Olusile Akinyele Babayeju, Ifeanyi Onyedika Ekemezie","doi":"10.51594/estj.v5i6.1220","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1220","url":null,"abstract":"Methane emissions from the oil and gas industry are a major contributor to climate change due to their high global warming potential. Accurate and standardized monitoring of these emissions is essential for effective mitigation. This review explores the current state of methane emission monitoring technologies, highlighting the strengths and limitations of direct measurement, remote sensing, and modeling approaches. It also examines the diverse regulatory frameworks and industry practices, identifying key challenges such as accuracy, consistency, and economic barriers. The paper proposes strategies for harmonizing monitoring standards globally, including adopting international guidelines, certification programs, and centralized reporting platforms. Additionally, it advocates for innovative regulatory approaches that incentivize better monitoring and reporting practices and emphasizes the need for international cooperation through data sharing and capacity building. The review concludes by discussing the potential impact of standardized monitoring on the industry, outlining future research and development directions, and calling for proactive steps by all stakeholders to achieve effective methane emission reduction. \u0000Keywords: Methane Emissions, Oil and Gas Industry, Monitoring Technologies and Regulatory Frameworks.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"5 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347369","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}
Omowonuola Ireoluwapo Kehinde Olanrewaju, Portia Oduro, Peter Simpa
This paper explores the role of advanced data analytics in optimizing renewable energy systems to achieve clean energy objectives. As the world transitions towards sustainable energy sources, the intermittency and variability of renewable sources present significant challenges. Traditional approaches to managing these challenges often fall short in terms of efficiency and scalability. However, advanced data analytics offers promising solutions by leveraging large volumes of data to optimize energy production, storage, and distribution. This paper discusses various techniques such as predictive modeling, optimization algorithms, and grid management strategies enabled by advanced data analytics. Case studies highlight real-world applications in wind and solar energy optimization, showcasing the effectiveness of data-driven approaches in improving renewable energy output and grid integration. Despite the potential benefits, challenges such as data privacy, security, and regulatory frameworks remain important considerations. Looking ahead, the integration of IoT and sensor technologies holds promise for further enhancing the performance of renewable energy systems. By fostering collaboration between researchers, policymakers, and industry stakeholders, we can accelerate the adoption of advanced data analytics and propel the transition towards a clean energy future. Keywords: Renewable Energy, Advanced Data Analytics, Predictive Modeling, Optimization Algorithms, Grid Integration, Sustainability.
{"title":"Engineering solutions for clean energy: Optimizing renewable energy systems with advanced data analytics","authors":"Omowonuola Ireoluwapo Kehinde Olanrewaju, Portia Oduro, Peter Simpa","doi":"10.51594/estj.v5i6.1222","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1222","url":null,"abstract":"This paper explores the role of advanced data analytics in optimizing renewable energy systems to achieve clean energy objectives. As the world transitions towards sustainable energy sources, the intermittency and variability of renewable sources present significant challenges. Traditional approaches to managing these challenges often fall short in terms of efficiency and scalability. However, advanced data analytics offers promising solutions by leveraging large volumes of data to optimize energy production, storage, and distribution. This paper discusses various techniques such as predictive modeling, optimization algorithms, and grid management strategies enabled by advanced data analytics. Case studies highlight real-world applications in wind and solar energy optimization, showcasing the effectiveness of data-driven approaches in improving renewable energy output and grid integration. Despite the potential benefits, challenges such as data privacy, security, and regulatory frameworks remain important considerations. Looking ahead, the integration of IoT and sensor technologies holds promise for further enhancing the performance of renewable energy systems. By fostering collaboration between researchers, policymakers, and industry stakeholders, we can accelerate the adoption of advanced data analytics and propel the transition towards a clean energy future. \u0000Keywords: Renewable Energy, Advanced Data Analytics, Predictive Modeling, Optimization Algorithms, Grid Integration, Sustainability.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"48 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141345158","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 integration of renewable energy sources into existing energy systems is imperative for enhancing climate resilience and mitigating the adverse impacts of climate change. This comprehensive review explores the multifaceted aspects of renewable energy integration for climate resilience, focusing on key challenges, strategies, and opportunities. By analyzing the latest research findings and case studies, this review offers insights into the diverse approaches to renewable energy integration and their implications for enhancing climate resilience at local, regional, and global scales. The review begins by examining the significance of renewable energy integration as a crucial component of climate resilience strategies. It delves into the interconnectedness between renewable energy deployment and climate adaptation, highlighting the potential of renewable energy systems to enhance energy security, reduce greenhouse gas emissions, and build community resilience to climate-related hazards. Subsequently, the review explores the challenges associated with renewable energy integration, including intermittency, grid stability, and socioeconomic considerations. It discusses innovative solutions and technological advancements aimed at overcoming these challenges, such as energy storage technologies, smart grid systems, and demand-side management strategies. Moreover, the review investigates the role of policy frameworks, regulatory mechanisms, and financial incentives in facilitating renewable energy integration for climate resilience. It assesses the effectiveness of various policy instruments and governance structures in promoting renewable energy deployment and fostering climate-resilient energy systems. Furthermore, the review highlights the importance of stakeholder engagement, community involvement, and capacity-building initiatives in ensuring the successful implementation of renewable energy projects. It emphasizes the need for inclusive and participatory approaches to renewable energy planning and decision-making, particularly in vulnerable and marginalized communities. Overall, this comprehensive review provides valuable insights into the complex dynamics of renewable energy integration for climate resilience. By synthesizing existing knowledge and identifying emerging trends, it informs policymakers, practitioners, and researchers about the opportunities and challenges associated with leveraging renewable energy as a key strategy for building climate resilience in a rapidly changing world. Keywords: Renewable Energy, Integration, Climate, Resilience, Policy.
{"title":"A comprehensive review of renewable energy integration for climate resilience","authors":"Darlington Eze Ekechukwu, Peter Simpa","doi":"10.51594/estj.v5i6.1187","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1187","url":null,"abstract":"The integration of renewable energy sources into existing energy systems is imperative for enhancing climate resilience and mitigating the adverse impacts of climate change. This comprehensive review explores the multifaceted aspects of renewable energy integration for climate resilience, focusing on key challenges, strategies, and opportunities. By analyzing the latest research findings and case studies, this review offers insights into the diverse approaches to renewable energy integration and their implications for enhancing climate resilience at local, regional, and global scales. The review begins by examining the significance of renewable energy integration as a crucial component of climate resilience strategies. It delves into the interconnectedness between renewable energy deployment and climate adaptation, highlighting the potential of renewable energy systems to enhance energy security, reduce greenhouse gas emissions, and build community resilience to climate-related hazards. Subsequently, the review explores the challenges associated with renewable energy integration, including intermittency, grid stability, and socioeconomic considerations. It discusses innovative solutions and technological advancements aimed at overcoming these challenges, such as energy storage technologies, smart grid systems, and demand-side management strategies. Moreover, the review investigates the role of policy frameworks, regulatory mechanisms, and financial incentives in facilitating renewable energy integration for climate resilience. It assesses the effectiveness of various policy instruments and governance structures in promoting renewable energy deployment and fostering climate-resilient energy systems. Furthermore, the review highlights the importance of stakeholder engagement, community involvement, and capacity-building initiatives in ensuring the successful implementation of renewable energy projects. It emphasizes the need for inclusive and participatory approaches to renewable energy planning and decision-making, particularly in vulnerable and marginalized communities. Overall, this comprehensive review provides valuable insights into the complex dynamics of renewable energy integration for climate resilience. By synthesizing existing knowledge and identifying emerging trends, it informs policymakers, practitioners, and researchers about the opportunities and challenges associated with leveraging renewable energy as a key strategy for building climate resilience in a rapidly changing world. \u0000Keywords: Renewable Energy, Integration, Climate, Resilience, Policy.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"28 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379018","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}
Chinwe Ozowe, Ayemere Ukato, Dazok Donald Jambol, Gideon Oluseyi Daramola
Liquefied natural gas (LNG) has emerged as a crucial component of the global energy mix, driving the need for innovative technologies to enhance efficiency and safety in LNG operations. This abstract provides an overview of key technological innovations in LNG operations, focusing on their impact on efficiency and safety. Efficiency in LNG operations is essential to minimize costs and reduce environmental impact. One significant technological innovation is the development of advanced liquefaction processes, such as the use of mixed refrigerant cycles and dual mixed refrigerant processes, which improve the energy efficiency of LNG plants. Additionally, advancements in boil-off gas re-liquefaction technologies enable the recovery and re-use of boil-off gas, further enhancing efficiency. Safety is paramount in LNG operations due to the flammable nature of LNG. Technological innovations have significantly improved safety measures, including the development of advanced leak detection and emergency shutdown systems. For instance, the use of fiber-optic sensing technology enables real-time monitoring of pipelines and storage tanks, enhancing early leak detection capabilities. Furthermore, the implementation of robust safety management systems and the use of simulation technologies for emergency response planning have further enhanced safety in LNG operations. The integration of digital technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), is transforming LNG operations. AI algorithms can optimize LNG plant operations by analyzing vast amounts of data to improve efficiency and predict maintenance needs. IoT devices enable real-time monitoring of equipment performance and environmental conditions, enhancing safety and efficiency. In conclusion, technological innovations in LNG operations are driving improvements in efficiency and safety. The integration of advanced liquefaction processes, boil-off gas re-liquefaction technologies, and digital technologies is revolutionizing LNG operations, making them more efficient, cost-effective, and safe. These innovations are essential for the continued growth and sustainability of the LNG industry in meeting global energy demands. Keywords: Technological Innovations, LNG, Operations, Enhancing Efficiency, Safety.
{"title":"Technological innovations in liquefied natural gas operations: Enhancing efficiency and safety","authors":"Chinwe Ozowe, Ayemere Ukato, Dazok Donald Jambol, Gideon Oluseyi Daramola","doi":"10.51594/estj.v5i6.1188","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1188","url":null,"abstract":"Liquefied natural gas (LNG) has emerged as a crucial component of the global energy mix, driving the need for innovative technologies to enhance efficiency and safety in LNG operations. This abstract provides an overview of key technological innovations in LNG operations, focusing on their impact on efficiency and safety. Efficiency in LNG operations is essential to minimize costs and reduce environmental impact. One significant technological innovation is the development of advanced liquefaction processes, such as the use of mixed refrigerant cycles and dual mixed refrigerant processes, which improve the energy efficiency of LNG plants. Additionally, advancements in boil-off gas re-liquefaction technologies enable the recovery and re-use of boil-off gas, further enhancing efficiency. Safety is paramount in LNG operations due to the flammable nature of LNG. Technological innovations have significantly improved safety measures, including the development of advanced leak detection and emergency shutdown systems. For instance, the use of fiber-optic sensing technology enables real-time monitoring of pipelines and storage tanks, enhancing early leak detection capabilities. Furthermore, the implementation of robust safety management systems and the use of simulation technologies for emergency response planning have further enhanced safety in LNG operations. The integration of digital technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), is transforming LNG operations. AI algorithms can optimize LNG plant operations by analyzing vast amounts of data to improve efficiency and predict maintenance needs. IoT devices enable real-time monitoring of equipment performance and environmental conditions, enhancing safety and efficiency. In conclusion, technological innovations in LNG operations are driving improvements in efficiency and safety. The integration of advanced liquefaction processes, boil-off gas re-liquefaction technologies, and digital technologies is revolutionizing LNG operations, making them more efficient, cost-effective, and safe. These innovations are essential for the continued growth and sustainability of the LNG industry in meeting global energy demands. \u0000Keywords: Technological Innovations, LNG, Operations, Enhancing Efficiency, Safety.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the critical nexus between cybersecurity and the viability of renewable energy systems, emphasizing the importance of robust cybersecurity measures for the sustainability and success of renewable energy initiatives. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed journals, conference proceedings, industry reports, and policy documents from 2014 to 2024. The methodology focuses on identifying gaps, opportunities, and strategic recommendations for enhancing cybersecurity resilience within the renewable energy sector. Key findings reveal a significant interplay between cybersecurity and renewable energy viability, highlighting the sector's increasing reliance on digital technologies and the corresponding cybersecurity vulnerabilities. The future of cybersecurity in renewable energy is characterized by both emerging challenges and opportunities, particularly the potential for innovation in cybersecurity measures such as the integration of AI and ML for threat detection and response. Strategic recommendations for industry stakeholders include developing a roadmap for resilient infrastructure, while policymakers are urged to craft comprehensive policies that foster secure renewable energy ecosystems. The study concludes that effective cybersecurity practices are fundamental to the sustainability and success of renewable energy initiatives. It underscores the necessity for further research in developing advanced cybersecurity technologies tailored to renewable energy systems, assessing the impact of emerging cyber threats, and evaluating the effectiveness of policy and regulatory frameworks. This exploration lays the groundwork for understanding the current state of cybersecurity within the renewable energy sector and provides a strategic framework for enhancing security measures. Keywords: Cybersecurity, Renewable Energy, Digital Technologies, Threat Detection.
本研究探讨了网络安全与可再生能源系统可行性之间的重要关系，强调了强有力的网络安全措施对可再生能源计划的可持续性和成功的重要性。本研究采用系统的文献综述和内容分析，仔细研究了 2014 年至 2024 年的同行评审期刊、会议论文集、行业报告和政策文件。研究方法侧重于找出差距、机遇和战略建议，以提高可再生能源领域的网络安全复原力。主要发现揭示了网络安全与可再生能源可行性之间的重要相互作用，突出了该行业对数字技术日益增长的依赖性以及相应的网络安全脆弱性。可再生能源网络安全的未来既有新出现的挑战，也有新出现的机遇，尤其是网络安全措施的创新潜力，如将人工智能和 ML 集成到威胁检测和响应中。对行业利益相关者的战略建议包括制定弹性基础设施路线图，同时敦促政策制定者制定全面的政策，促进安全的可再生能源生态系统。研究得出结论，有效的网络安全实践是可再生能源计划的可持续性和成功的基础。研究强调，有必要进一步研究开发适合可再生能源系统的先进网络安全技术，评估新兴网络威胁的影响，以及评估政策和监管框架的有效性。这一探索为了解可再生能源领域的网络安全现状奠定了基础，并为加强安全措施提供了战略框架。关键词网络安全、可再生能源、数字技术、威胁检测。
{"title":"The importance of cybersecurity in protecting renewable energy investment: A strategic analysis of threats and solutions","authors":"Darlington Eze Ekechukwu, Peter Simpa","doi":"10.51594/estj.v5i6.1186","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1186","url":null,"abstract":"This study explores the critical nexus between cybersecurity and the viability of renewable energy systems, emphasizing the importance of robust cybersecurity measures for the sustainability and success of renewable energy initiatives. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed journals, conference proceedings, industry reports, and policy documents from 2014 to 2024. The methodology focuses on identifying gaps, opportunities, and strategic recommendations for enhancing cybersecurity resilience within the renewable energy sector. Key findings reveal a significant interplay between cybersecurity and renewable energy viability, highlighting the sector's increasing reliance on digital technologies and the corresponding cybersecurity vulnerabilities. The future of cybersecurity in renewable energy is characterized by both emerging challenges and opportunities, particularly the potential for innovation in cybersecurity measures such as the integration of AI and ML for threat detection and response. Strategic recommendations for industry stakeholders include developing a roadmap for resilient infrastructure, while policymakers are urged to craft comprehensive policies that foster secure renewable energy ecosystems. The study concludes that effective cybersecurity practices are fundamental to the sustainability and success of renewable energy initiatives. It underscores the necessity for further research in developing advanced cybersecurity technologies tailored to renewable energy systems, assessing the impact of emerging cyber threats, and evaluating the effectiveness of policy and regulatory frameworks. This exploration lays the groundwork for understanding the current state of cybersecurity within the renewable energy sector and provides a strategic framework for enhancing security measures. \u0000Keywords: Cybersecurity, Renewable Energy, Digital Technologies, Threat Detection.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study carries out an analysis of workshop safety and productivity improvement in an engineering workshop in a University setting. The problem stems from observations made during students’ workshop practicals, where concerns regarding fatigue, pain and low productivity were noted. To address these issues, a mixed-methods approach was employed, including surveys, interviews, and observation checklists, to gather data from 367 engineering students. Demographic analysis revealed that a significant proportion of respondents were final year students (58%), with varying levels of workshop usage. Findings also showed that there is a mixed view among students regarding the workshop environment. While a majority perceive the workshop as organised and efficient (58.1% agree), concerns exist regarding cleanliness (only 35.5% agree) and tool accessibility (only 32.3% agree). Safety perceptions reveal that while most students (83.9%) reported never experiencing musculoskeletal injuries, only 48.3% feel confident in the workshop’s safety. Furthermore, productivity challenges are evident, with a significant number of students (45.2%) finding it difficult to complete project in the workshop. Based on these findings, recommendations are proposed to address identified concerns, including improvements in workshop organization, maintenance, safety measures, and productivity enhancements, implementing these recommendations can contribute to creating a safer, more efficient, and student-friendly workshop environment. Keywords: Workshop Safety, Productivity Improvement, Engineering Students, Engineering Workshop.
{"title":"Analysis of workshop safety and productivity improvement in an engineering workshop","authors":"Igbokwe Nkemkonam Chidiebube, Ibekwe Chukwuemeka John, Echetabu Chinecherem Perpetual, Kalu Chijioke Andrew, Mba Wilfred Chukwuemeka","doi":"10.51594/estj.v5i6.1193","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1193","url":null,"abstract":"This study carries out an analysis of workshop safety and productivity improvement in an engineering workshop in a University setting. The problem stems from observations made during students’ workshop practicals, where concerns regarding fatigue, pain and low productivity were noted. To address these issues, a mixed-methods approach was employed, including surveys, interviews, and observation checklists, to gather data from 367 engineering students. Demographic analysis revealed that a significant proportion of respondents were final year students (58%), with varying levels of workshop usage. Findings also showed that there is a mixed view among students regarding the workshop environment. While a majority perceive the workshop as organised and efficient (58.1% agree), concerns exist regarding cleanliness (only 35.5% agree) and tool accessibility (only 32.3% agree). Safety perceptions reveal that while most students (83.9%) reported never experiencing musculoskeletal injuries, only 48.3% feel confident in the workshop’s safety. Furthermore, productivity challenges are evident, with a significant number of students (45.2%) finding it difficult to complete project in the workshop. Based on these findings, recommendations are proposed to address identified concerns, including improvements in workshop organization, maintenance, safety measures, and productivity enhancements, implementing these recommendations can contribute to creating a safer, more efficient, and student-friendly workshop environment. \u0000Keywords: Workshop Safety, Productivity Improvement, Engineering Students, Engineering Workshop.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"31 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379440","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}
Kenneth Agbemehia, Ibrahim Abubakari Imoro, Shiraz Yakubu Anas, Ibrahim Issahaku
One of the most essential tools for environmental management and sustainability in Ghana in recent times is the use of Remote sensing. Ghana is a country blessed with varied natural resources, but anthropogenic activities such as illegal mining, waste management, deforestation and agricultural practices have led to environmental degradation. Remote sensing technology therefore provides a less expensive means of monitoring these activities, assessing their effects on the environment, and providing guiding policy decisions. The aim of this current review is to provide a detailed analysis of literature on the application of remote sensing for environmental management and sustainability. Google scholar, Scopus (Elsevier) and Science Direct (Elsevier), were a few of the databases used for the review. The findings indicate that there are numerous remote sensing applications for sustainable environmental management in Ghana, including examining the state of rural roads, making a foundation map for visual reference, gathering images of earth from space, controlling forest fires, land use and land cover detection, climate change observation, estimating the likelihood of landslides, estimating forest resources, recognizing crop conditions, increasing farming precision, determining the moisture content of the soil, forecasting crop production, crop damage and crop progress. Based on the review it is clear that, the use of remote sensing in environmental management in Ghana has proven to be a valuable tool because it has aided in improving our understanding of environmental dynamics, guiding policy decisions and monitoring the environmental impact of human activities. Remote sensing will continue to play an important role in environmental management in Ghana as technology advances. Keywords: Remote Sensing, Ghana, Environment, Sustainable Management.
{"title":"The application of remote sensing in sustainable environmental management in Ghana","authors":"Kenneth Agbemehia, Ibrahim Abubakari Imoro, Shiraz Yakubu Anas, Ibrahim Issahaku","doi":"10.51594/estj.v5i6.1163","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1163","url":null,"abstract":"One of the most essential tools for environmental management and sustainability in Ghana in recent times is the use of Remote sensing. Ghana is a country blessed with varied natural resources, but anthropogenic activities such as illegal mining, waste management, deforestation and agricultural practices have led to environmental degradation. Remote sensing technology therefore provides a less expensive means of monitoring these activities, assessing their effects on the environment, and providing guiding policy decisions. The aim of this current review is to provide a detailed analysis of literature on the application of remote sensing for environmental management and sustainability. Google scholar, Scopus (Elsevier) and Science Direct (Elsevier), were a few of the databases used for the review. The findings indicate that there are numerous remote sensing applications for sustainable environmental management in Ghana, including examining the state of rural roads, making a foundation map for visual reference, gathering images of earth from space, controlling forest fires, land use and land cover detection, climate change observation, estimating the likelihood of landslides, estimating forest resources, recognizing crop conditions, increasing farming precision, determining the moisture content of the soil, forecasting crop production, crop damage and crop progress. Based on the review it is clear that, the use of remote sensing in environmental management in Ghana has proven to be a valuable tool because it has aided in improving our understanding of environmental dynamics, guiding policy decisions and monitoring the environmental impact of human activities. Remote sensing will continue to play an important role in environmental management in Ghana as technology advances. \u0000Keywords: Remote Sensing, Ghana, Environment, Sustainable Management.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"124 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141282032","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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