This paper explores the transformative potential of Artificial Intelligence (AI) in personalized marketing. It highlights how AI can analyze vast amounts of customer data to create targeted messages, recommendations, and real-time interactions that resonate with individual needs and preferences. This personalized approach fosters deeper consumer engagement, leading to increased satisfaction, brand loyalty, and business success. The paper discusses the future potential of AI in shaping personalized marketing experiences. However, responsible implementation will be paramount in ensuring a positive future for both brands and consumers. Enhanced version of the abstract incorporating additional insights, this paper delves into the transformative power of Artificial Intelligence (AI) in personalized marketing. It explores how AI algorithms can analyze a multitude of customer data points, including purchase history, website behavior, and social media interactions. This rich data empowers brands to create highly targeted messages, recommendations, and real-time interactions that resonate with individual customer needs and preferences. By fostering deeper consumer engagement, AI-powered personalization unlocks a pathway to increased customer satisfaction, brand loyalty, and ultimately, significant business growth. However, the paper acknowledges the ethical considerations that accompany AI implementation. Responsible data practices are paramount, ensuring data security and mitigating bias in AI algorithms to prevent discriminatory marketing practices. Transparency in how data is collected and used builds trust with consumers, fostering a mutually beneficial relationship. Looking ahead, the paper explores the vast future potential of AI in personalized marketing. Imagine AI-powered Chat bot offering personalized product recommendations in real-time, or virtual reality experiences tailored to individual preferences. The future of marketing lies in creating genuine connections with consumers, and AI provides the tools to personalize the customer journey at every touch point. However, navigating the ethical landscape and prioritizing responsible data practices will be crucial in ensuring a positive future for both brands and consumers. Keywords: Artificial Intelligence (AI), Personalized Marketing, Customer Engagement, Customer Data, Marketing Strategy.
{"title":"AI IN PROJECT MANAGEMENT: EXPLORING THEORETICAL MODELS FOR DECISION-MAKING AND RISK MANAGEMENT","authors":"Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi","doi":"10.51594/estj.v5i3.959","DOIUrl":"https://doi.org/10.51594/estj.v5i3.959","url":null,"abstract":"This paper explores the transformative potential of Artificial Intelligence (AI) in personalized marketing. It highlights how AI can analyze vast amounts of customer data to create targeted messages, recommendations, and real-time interactions that resonate with individual needs and preferences. This personalized approach fosters deeper consumer engagement, leading to increased satisfaction, brand loyalty, and business success. The paper discusses the future potential of AI in shaping personalized marketing experiences. However, responsible implementation will be paramount in ensuring a positive future for both brands and consumers. Enhanced version of the abstract incorporating additional insights, this paper delves into the transformative power of Artificial Intelligence (AI) in personalized marketing. It explores how AI algorithms can analyze a multitude of customer data points, including purchase history, website behavior, and social media interactions. This rich data empowers brands to create highly targeted messages, recommendations, and real-time interactions that resonate with individual customer needs and preferences. By fostering deeper consumer engagement, AI-powered personalization unlocks a pathway to increased customer satisfaction, brand loyalty, and ultimately, significant business growth. However, the paper acknowledges the ethical considerations that accompany AI implementation. Responsible data practices are paramount, ensuring data security and mitigating bias in AI algorithms to prevent discriminatory marketing practices. Transparency in how data is collected and used builds trust with consumers, fostering a mutually beneficial relationship. Looking ahead, the paper explores the vast future potential of AI in personalized marketing. Imagine AI-powered Chat bot offering personalized product recommendations in real-time, or virtual reality experiences tailored to individual preferences. The future of marketing lies in creating genuine connections with consumers, and AI provides the tools to personalize the customer journey at every touch point. However, navigating the ethical landscape and prioritizing responsible data practices will be crucial in ensuring a positive future for both brands and consumers. \u0000Keywords: Artificial Intelligence (AI), Personalized Marketing, Customer Engagement, Customer Data, Marketing Strategy.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 97","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385931","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}
Nwankwo Constance Obiuto, Wisdom Ebirim, Nwakamma Ninduwezuor-Ehiobu, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Ejike David Ugwuanyi
As environmental concerns continue to escalate, the integration of sustainability principles into project management practices has emerged as a crucial endeavor across various industries. In the realm of Heating, Ventilation, and Air Conditioning (HVAC) systems, where energy consumption and environmental impact are significant, the incorporation of sustainable practices presents both challenges and opportunities. This review provides an overview of the challenges and opportunities associated with integrating sustainability into HVAC project management. Challenges in integrating sustainability into HVAC project management stem from various factors, including technological limitations, cost considerations, and organizational barriers. Technologically, the adoption of sustainable HVAC solutions often requires investments in advanced equipment and systems, which may not always be readily available or affordable for all projects. Additionally, the upfront costs of implementing sustainable practices can be perceived as prohibitive, especially in industries where budget constraints are prevalent. Moreover, organizational inertia and resistance to change pose significant challenges, as stakeholders may be hesitant to deviate from traditional HVAC methodologies. Despite these challenges, there exist ample opportunities for integrating sustainability into HVAC project management. Advancements in technology, such as the development of energy-efficient HVAC systems and renewable energy integration, provide opportunities to reduce environmental impact while enhancing operational efficiency. Furthermore, the growing emphasis on green building certifications, such as LEED (Leadership in Energy and Environmental Design), incentivizes the adoption of sustainable HVAC practices by offering recognition and financial benefits to projects that meet stringent sustainability criteria. Moreover, the increasing awareness of environmental issues and regulatory requirements underscores the importance of integrating sustainability into HVAC project management. By aligning with regulatory standards and industry best practices, organizations can mitigate risks associated with non-compliance while enhancing their reputation as environmentally responsible entities. While challenges persist, the integration of sustainability into HVAC project management presents significant opportunities for organizations to mitigate environmental impact, enhance operational efficiency, and foster a culture of innovation. By addressing these challenges proactively and leveraging available opportunities, organizations can position themselves as leaders in sustainable HVAC project management. Keywords: HVAC, Project Management, Challenges, Sustainability, Review.
{"title":"INTEGRATING SUSTAINABILITY INTO HVAC PROJECT MANAGEMENT: CHALLENGES AND OPPORTUNITIES","authors":"Nwankwo Constance Obiuto, Wisdom Ebirim, Nwakamma Ninduwezuor-Ehiobu, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Ejike David Ugwuanyi","doi":"10.51594/estj.v5i3.943","DOIUrl":"https://doi.org/10.51594/estj.v5i3.943","url":null,"abstract":"As environmental concerns continue to escalate, the integration of sustainability principles into project management practices has emerged as a crucial endeavor across various industries. In the realm of Heating, Ventilation, and Air Conditioning (HVAC) systems, where energy consumption and environmental impact are significant, the incorporation of sustainable practices presents both challenges and opportunities. This review provides an overview of the challenges and opportunities associated with integrating sustainability into HVAC project management. Challenges in integrating sustainability into HVAC project management stem from various factors, including technological limitations, cost considerations, and organizational barriers. Technologically, the adoption of sustainable HVAC solutions often requires investments in advanced equipment and systems, which may not always be readily available or affordable for all projects. Additionally, the upfront costs of implementing sustainable practices can be perceived as prohibitive, especially in industries where budget constraints are prevalent. Moreover, organizational inertia and resistance to change pose significant challenges, as stakeholders may be hesitant to deviate from traditional HVAC methodologies. Despite these challenges, there exist ample opportunities for integrating sustainability into HVAC project management. Advancements in technology, such as the development of energy-efficient HVAC systems and renewable energy integration, provide opportunities to reduce environmental impact while enhancing operational efficiency. Furthermore, the growing emphasis on green building certifications, such as LEED (Leadership in Energy and Environmental Design), incentivizes the adoption of sustainable HVAC practices by offering recognition and financial benefits to projects that meet stringent sustainability criteria. Moreover, the increasing awareness of environmental issues and regulatory requirements underscores the importance of integrating sustainability into HVAC project management. By aligning with regulatory standards and industry best practices, organizations can mitigate risks associated with non-compliance while enhancing their reputation as environmentally responsible entities. While challenges persist, the integration of sustainability into HVAC project management presents significant opportunities for organizations to mitigate environmental impact, enhance operational efficiency, and foster a culture of innovation. By addressing these challenges proactively and leveraging available opportunities, organizations can position themselves as leaders in sustainable HVAC project management. \u0000Keywords: HVAC, Project Management, Challenges, Sustainability, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140386219","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 grapples with the urgent need to mitigate the impacts of climate change, Carbon Capture and Utilization (CCU) has emerged as a promising and multifaceted strategy to address carbon emissions. This review paper provides a comprehensive examination of the current state of CCU technologies, focusing on both the emerging applications and the challenges inherent in their implementation. The first section offers an overview of diverse carbon capture methods, ranging from pre-combustion to direct air capture, highlighting key advancements in technologies such as chemical absorption, membrane separation, and adsorption. Subsequently, the paper delves into the various pathways of carbon utilization, exploring applications in the production of fuels, carbon-based materials, and chemical synthesis. Notable breakthroughs in power-to-gas technologies, utilization in construction materials, and industrial applications are discussed in detail. The core of the review is dedicated to unveiling the emerging applications of CCU, with a specific emphasis on its role in agriculture and soil enhancement, integration with renewable energy systems, and collaboration with other industries. The potential economic and environmental benefits of these applications are explored to underscore the transformative impact of CCU on sustainable development. However, the journey towards widespread CCU adoption is not without challenges. This paper identifies and analyzes technical hurdles related to efficiency, scalability, and cost-effectiveness. Additionally, it examines the regulatory, policy, and societal challenges that may hinder the seamless integration of CCU technologies. Case studies of successful CCU projects provide practical insights, emphasizing lessons learned and best practices. The paper concludes by outlining future prospects and opportunities in the field of CCU, emphasizing the need for continued research, development, and international collaboration. It calls for a concerted effort to overcome challenges and harness the full potential of CCU in contributing to global carbon reduction goals. This comprehensive review aims to serve as a valuable resource for researchers, policymakers, and industry professionals involved in climate change mitigation, providing a nuanced understanding of the current landscape, opportunities, and challenges associated with Carbon Capture and Utilization. Keywords: Carbon Capture and Utilization (CCU), Applications, Challenges.
全球社会都在努力应对减缓气候变化影响的迫切需求,碳捕集与利用(CCU)已成为解决碳排放问题的一项前景广阔的多层面战略。本综述文件全面考察了 CCU 技术的现状,重点关注新兴应用及其实施过程中固有的挑战。第一部分概述了从预燃烧到直接空气捕集等各种碳捕集方法,重点介绍了化学吸收、膜分离和吸附等技术的主要进展。随后,论文深入探讨了碳利用的各种途径,探讨了碳在燃料生产、碳基材料和化学合成中的应用。文中详细讨论了从电力到燃气技术、建筑材料利用和工业应用方面的显著突破。综述的核心内容是揭示 CCU 的新兴应用,特别强调了 CCU 在农业和土壤改良、与可再生能源系统集成以及与其他行业合作中的作用。探讨了这些应用的潜在经济和环境效益,以强调 CCU 对可持续发展的变革性影响。然而,CCU 的广泛应用并非没有挑战。本文指出并分析了与效率、可扩展性和成本效益有关的技术障碍。此外,本文还探讨了可能阻碍 CCU 技术无缝集成的监管、政策和社会挑战。成功的 CCU 项目案例研究提供了实用的见解,强调了经验教训和最佳实践。论文最后概述了 CCU 领域的未来前景和机遇,强调了继续研究、开发和国际合作的必要性。报告呼吁各方共同努力,克服挑战,充分发挥 CCU 的潜力,为实现全球碳减排目标做出贡献。本综述旨在为研究人员、政策制定者和参与减缓气候变化的行业专业人士提供宝贵的资源,让他们对碳捕集与利用的现状、机遇和挑战有一个细致入微的了解。关键词碳捕集与利用(CCU) 应用 挑战
{"title":"CARBON CAPTURE AND UTILIZATION (CCU): A REVIEW OF EMERGING APPLICATIONS AND CHALLENGES","authors":"Ifeanyi Onyedika Ekemezie, Wags Numoipiri Digitemie","doi":"10.51594/estj.v5i3.949","DOIUrl":"https://doi.org/10.51594/estj.v5i3.949","url":null,"abstract":"As the global community grapples with the urgent need to mitigate the impacts of climate change, Carbon Capture and Utilization (CCU) has emerged as a promising and multifaceted strategy to address carbon emissions. This review paper provides a comprehensive examination of the current state of CCU technologies, focusing on both the emerging applications and the challenges inherent in their implementation. The first section offers an overview of diverse carbon capture methods, ranging from pre-combustion to direct air capture, highlighting key advancements in technologies such as chemical absorption, membrane separation, and adsorption. Subsequently, the paper delves into the various pathways of carbon utilization, exploring applications in the production of fuels, carbon-based materials, and chemical synthesis. Notable breakthroughs in power-to-gas technologies, utilization in construction materials, and industrial applications are discussed in detail. The core of the review is dedicated to unveiling the emerging applications of CCU, with a specific emphasis on its role in agriculture and soil enhancement, integration with renewable energy systems, and collaboration with other industries. The potential economic and environmental benefits of these applications are explored to underscore the transformative impact of CCU on sustainable development. However, the journey towards widespread CCU adoption is not without challenges. This paper identifies and analyzes technical hurdles related to efficiency, scalability, and cost-effectiveness. Additionally, it examines the regulatory, policy, and societal challenges that may hinder the seamless integration of CCU technologies. Case studies of successful CCU projects provide practical insights, emphasizing lessons learned and best practices. The paper concludes by outlining future prospects and opportunities in the field of CCU, emphasizing the need for continued research, development, and international collaboration. It calls for a concerted effort to overcome challenges and harness the full potential of CCU in contributing to global carbon reduction goals. This comprehensive review aims to serve as a valuable resource for researchers, policymakers, and industry professionals involved in climate change mitigation, providing a nuanced understanding of the current landscape, opportunities, and challenges associated with Carbon Capture and Utilization. \u0000Keywords: Carbon Capture and Utilization (CCU), Applications, Challenges.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385119","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}
Femi Oluwatoyin Omole, Oladiran Kayode Olajiga, Tosin Michael Olatunde
This comprehensive exploration delves into Hybrid Power Systems (HPS), investigating their components, technologies, economic considerations, environmental impacts, and technological challenges. Integrating renewable and traditional sources in HPS emerges as a transformative solution for sustainable energy. Economic analyses reveal initial costs offset by long-term benefits. At the same time, environmental impacts demonstrate a substantial reduction in greenhouse gas emissions and resource preservation. Technological challenges, including intermittency and system optimization, are addressed through advanced storage, smart grids, and microgrid technologies. The abstract concludes with recommendations emphasizing research, education, policy support, international collaboration, public awareness, and ongoing technological innovation. As HPS stands at the forefront of sustainable energy solutions, this comprehensive study navigates the complex terrain, offering insights and guidance for a future where HPS plays a pivotal role in a resilient, efficient, and environmentally conscious global energy landscape. Keywords: Hybrid Power Systems, Renewable Energy, Sustainability, Technological Challenges.
{"title":"HYBRID POWER SYSTEMS IN MINING: REVIEW OF IMPLEMENTATIONS IN CANADA, USA, AND AFRICA","authors":"Femi Oluwatoyin Omole, Oladiran Kayode Olajiga, Tosin Michael Olatunde","doi":"10.51594/estj.v5i3.954","DOIUrl":"https://doi.org/10.51594/estj.v5i3.954","url":null,"abstract":"This comprehensive exploration delves into Hybrid Power Systems (HPS), investigating their components, technologies, economic considerations, environmental impacts, and technological challenges. Integrating renewable and traditional sources in HPS emerges as a transformative solution for sustainable energy. Economic analyses reveal initial costs offset by long-term benefits. At the same time, environmental impacts demonstrate a substantial reduction in greenhouse gas emissions and resource preservation. Technological challenges, including intermittency and system optimization, are addressed through advanced storage, smart grids, and microgrid technologies. The abstract concludes with recommendations emphasizing research, education, policy support, international collaboration, public awareness, and ongoing technological innovation. As HPS stands at the forefront of sustainable energy solutions, this comprehensive study navigates the complex terrain, offering insights and guidance for a future where HPS plays a pivotal role in a resilient, efficient, and environmentally conscious global energy landscape. \u0000Keywords: Hybrid Power Systems, Renewable Energy, Sustainability, Technological Challenges.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385692","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}
Satellite telecommunications have undergone significant evolution, driven by the need for enhanced quality assurance and service improvement. This paper provides a comprehensive review of the initiatives undertaken in this field, focusing on the integration of analytics to achieve these objectives. Over the years, advancements in satellite technology have enabled the collection of vast amounts of data, presenting both challenges and opportunities. Leveraging analytics has emerged as a crucial strategy to extract actionable insights from this data, thereby enhancing quality assurance and service delivery. The review encompasses various aspects of quality assurance and service improvement in satellite telecommunications, including network performance monitoring, fault detection and resolution, capacity planning, and customer experience management. It examines how analytics techniques such as machine learning, predictive modeling, and anomaly detection have been applied to address specific challenges within each of these domains. Furthermore, the paper evaluates the impacts of these initiatives on the satellite telecommunications industry. By leveraging analytics, stakeholders have been able to optimize network operations, minimize downtime, and proactively address potential issues before they escalate. Additionally, improved service quality has led to enhanced customer satisfaction and retention, driving business growth and competitiveness in the market. Overall, this review underscores the transformative role of analytics in advancing quality assurance and service improvement in satellite telecommunications. It highlights the importance of continued innovation and investment in analytics-driven solutions to meet the evolving demands of the industry and deliver superior experiences to end-users. Keywords: Assurance, Analytics, Satellite, Telecommunication, Impacts, Review.
{"title":"THE EVOLUTION OF QUALITY ASSURANCE AND SERVICE IMPROVEMENT IN SATELLITE TELECOMMUNICATIONS THROUGH ANALYTICS: A REVIEW OF INITIATIVES AND THEIR IMPACTS","authors":"Nneka Adaobi Ochuba, David Olanrewaju Olutimehin, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo","doi":"10.51594/estj.v5i3.958","DOIUrl":"https://doi.org/10.51594/estj.v5i3.958","url":null,"abstract":"Satellite telecommunications have undergone significant evolution, driven by the need for enhanced quality assurance and service improvement. This paper provides a comprehensive review of the initiatives undertaken in this field, focusing on the integration of analytics to achieve these objectives. Over the years, advancements in satellite technology have enabled the collection of vast amounts of data, presenting both challenges and opportunities. Leveraging analytics has emerged as a crucial strategy to extract actionable insights from this data, thereby enhancing quality assurance and service delivery. The review encompasses various aspects of quality assurance and service improvement in satellite telecommunications, including network performance monitoring, fault detection and resolution, capacity planning, and customer experience management. It examines how analytics techniques such as machine learning, predictive modeling, and anomaly detection have been applied to address specific challenges within each of these domains. Furthermore, the paper evaluates the impacts of these initiatives on the satellite telecommunications industry. By leveraging analytics, stakeholders have been able to optimize network operations, minimize downtime, and proactively address potential issues before they escalate. Additionally, improved service quality has led to enhanced customer satisfaction and retention, driving business growth and competitiveness in the market. Overall, this review underscores the transformative role of analytics in advancing quality assurance and service improvement in satellite telecommunications. It highlights the importance of continued innovation and investment in analytics-driven solutions to meet the evolving demands of the industry and deliver superior experiences to end-users. \u0000Keywords: Assurance, Analytics, Satellite, Telecommunication, Impacts, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140386216","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 oil and gas industry plays a pivotal role in global energy supply but faces increasing pressure to enhance sustainability amidst environmental concerns and economic constraints. This comprehensive review explores the integration of artificial intelligence (AI) in optimizing oil and gas production processes to achieve sustainability goals. The paper examines various AI-driven optimization techniques, including machine learning algorithms, genetic algorithms, and neural networks, and their application in different stages of oil and gas production, such as exploration, drilling, production, and distribution. By leveraging AI, operators can improve efficiency, reduce environmental impact, and maximize resource recovery. Furthermore, the review delves into specific case studies and implementations of AI-driven optimization in real-world oil and gas operations, highlighting their efficacy in minimizing greenhouse gas emissions, optimizing water usage, and mitigating operational risks. Additionally, the paper discusses challenges and limitations associated with AI adoption in the industry, such as data availability, model interpretability, and regulatory compliance. The integration of AI-driven optimization techniques not only enhances sustainability but also contributes to cost reduction and operational excellence in oil and gas production. By optimizing production processes, operators can achieve higher yields with fewer resources, leading to increased profitability and long-term viability in a rapidly evolving energy landscape. Overall, this review provides valuable insights into the transformative potential of AI-driven optimization techniques in fostering sustainability and resilience in oil and gas production processes, paving the way for a more efficient and environmentally responsible industry. Keywords: AL, Oil and Gas, Production, Optimization, Sustainability, Review, Process.
{"title":"A COMPREHENSIVE REVIEW ON AI-DRIVEN OPTIMIZATION TECHNIQUES ENHANCING SUSTAINABILITY IN OIL AND GAS PRODUCTION PROCESSES","authors":"Chuka Anthony Arinze, Boma Sonimiteim Jacks","doi":"10.51594/estj.v5i3.950","DOIUrl":"https://doi.org/10.51594/estj.v5i3.950","url":null,"abstract":"The oil and gas industry plays a pivotal role in global energy supply but faces increasing pressure to enhance sustainability amidst environmental concerns and economic constraints. This comprehensive review explores the integration of artificial intelligence (AI) in optimizing oil and gas production processes to achieve sustainability goals. The paper examines various AI-driven optimization techniques, including machine learning algorithms, genetic algorithms, and neural networks, and their application in different stages of oil and gas production, such as exploration, drilling, production, and distribution. By leveraging AI, operators can improve efficiency, reduce environmental impact, and maximize resource recovery. Furthermore, the review delves into specific case studies and implementations of AI-driven optimization in real-world oil and gas operations, highlighting their efficacy in minimizing greenhouse gas emissions, optimizing water usage, and mitigating operational risks. Additionally, the paper discusses challenges and limitations associated with AI adoption in the industry, such as data availability, model interpretability, and regulatory compliance. The integration of AI-driven optimization techniques not only enhances sustainability but also contributes to cost reduction and operational excellence in oil and gas production. By optimizing production processes, operators can achieve higher yields with fewer resources, leading to increased profitability and long-term viability in a rapidly evolving energy landscape. Overall, this review provides valuable insights into the transformative potential of AI-driven optimization techniques in fostering sustainability and resilience in oil and gas production processes, paving the way for a more efficient and environmentally responsible industry. \u0000Keywords: AL, Oil and Gas, Production, Optimization, Sustainability, Review, Process.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385827","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 review paper delves into the critical realm of securing remote monitoring systems within water distribution networks, illuminating theoretical insights and practical lessons gleaned from collaborative projects between Africa and the United States. Given the pivotal role of water distribution networks in public health and safety, integrating remote monitoring systems offers substantial benefits in operational efficiency and resource management. However, this integration also introduces significant security vulnerabilities that pose risks to critical infrastructure data's integrity, availability, and confidentiality. Through a comprehensive analysis, this paper explores the multifaceted security challenges inherent in these systems, underscores the importance of robust theoretical frameworks for cybersecurity, and highlights effective security practices derived from international collaboration projects. It proposes principles for designing, implementing, and managing secure systems, emphasizing the necessity of defence-in-depth strategies, the principle of least privilege, and the critical role of continuous monitoring and adaptive response mechanisms. Furthermore, it identifies ongoing challenges and future directions for research, stressing the dynamic nature of cybersecurity threats and the potential of emerging technologies to fortify security measures. The paper advocates for sustained collaborative efforts and research to navigate the evolving landscape of security challenges in water distribution networks, ensuring their resilience against threats. Keywords: Remote Monitoring Systems, Water Distribution Security, Cybersecurity Frameworks.
{"title":"THEORETICAL INSIGHTS INTO SECURING REMOTE MONITORING SYSTEMS IN WATER DISTRIBUTION NETWORKS: LESSONS LEARNED FROM AFRICA-US PROJECTS","authors":"Fatai Adeshina Adelani, Enyinaya Stefano Okafor, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala","doi":"10.51594/estj.v5i3.953","DOIUrl":"https://doi.org/10.51594/estj.v5i3.953","url":null,"abstract":"This review paper delves into the critical realm of securing remote monitoring systems within water distribution networks, illuminating theoretical insights and practical lessons gleaned from collaborative projects between Africa and the United States. Given the pivotal role of water distribution networks in public health and safety, integrating remote monitoring systems offers substantial benefits in operational efficiency and resource management. However, this integration also introduces significant security vulnerabilities that pose risks to critical infrastructure data's integrity, availability, and confidentiality. Through a comprehensive analysis, this paper explores the multifaceted security challenges inherent in these systems, underscores the importance of robust theoretical frameworks for cybersecurity, and highlights effective security practices derived from international collaboration projects. It proposes principles for designing, implementing, and managing secure systems, emphasizing the necessity of defence-in-depth strategies, the principle of least privilege, and the critical role of continuous monitoring and adaptive response mechanisms. Furthermore, it identifies ongoing challenges and future directions for research, stressing the dynamic nature of cybersecurity threats and the potential of emerging technologies to fortify security measures. The paper advocates for sustained collaborative efforts and research to navigate the evolving landscape of security challenges in water distribution networks, ensuring their resilience against threats. \u0000Keywords: Remote Monitoring Systems, Water Distribution Security, Cybersecurity Frameworks.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385717","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 Frameworks of EcoPFM Predictive Maintenance (PM) System presents a novel approach to maintenance optimization within eco-friendly power facilities, addressing the critical need for sustainable, efficient asset management. This paper introduces an integrated framework leveraging advanced predictive analytics, machine learning algorithms, and Internet of Things (IoT) technology to enable proactive maintenance interventions based on real-time data insights. Focusing on the context of the United States it highlights the significance of implementing such a system in the realm of eco-friendly energy infrastructure. The automotive and heavy-duty truck industries in the United States grapple with the challenge of optimizing maintenance strategies to ensure vehicle reliability, safety, and environmental sustainability. Traditional maintenance approaches, primarily reactive or scheduled maintenance, fall short in addressing the complexities of modern vehicle operations. The U.S. Department of Transportation reports that heavy-duty trucks transport approximately 70% of the nation's freight by weight, underscoring the sector's critical role in the economy. However, inefficiencies in maintenance strategies contribute to significant economic and operational setbacks. According to the American Transportation Research Institute, unscheduled truck maintenance and repairs are leading operational costs for fleets, with an average expense of 16.7 cents per mile in 2020, highlighting the financial strain of current maintenance practices. In the United States, the demand for eco-friendly power solutions is rapidly increasing, driven by a growing awareness of environmental sustainability and the imperative to reduce carbon emissions. As the nation transitions towards renewable energy sources and eco-friendly power facilities, the effective management of these assets becomes paramount to ensuring reliability, performance, and longevity. The EcoPFM PM System integrates diverse data sets sourced from eco-friendly power facilities across the USA, encompassing historical operational data, sensor readings, and environmental parameters. Through predictive analytics, the system identifies patterns and trends within these data sets to forecast equipment failures and performance degradation accurately. By prioritizing maintenance tasks based on risk assessment models and condition monitoring, the system enables organizations to optimize resource allocation, minimize downtime, and extend asset lifespan. Embracing the Frameworks of EcoPFM Predictive Maintenance System holds immense promise for organizations operating eco-friendly power facilities in the United States. By harnessing data-driven insights and proactive maintenance strategies, this system offers a pathway towards enhanced operational efficiency, cost reduction, and sustainability, ultimately contributing to the advancement of eco-friendly energy infrastructure in the nation. Keywords: Predictive Maintenance, Syst
{"title":"THEORETICAL FRAMEWORKS OF ECOPFM PREDICTIVE MAINTENANCE (ECOPFM) PREDICTIVE MAINTENANCE SYSTEM","authors":"Emmanuel Augustine Etukudoh","doi":"10.51594/estj.v5i3.946","DOIUrl":"https://doi.org/10.51594/estj.v5i3.946","url":null,"abstract":"The Frameworks of EcoPFM Predictive Maintenance (PM) System presents a novel approach to maintenance optimization within eco-friendly power facilities, addressing the critical need for sustainable, efficient asset management. This paper introduces an integrated framework leveraging advanced predictive analytics, machine learning algorithms, and Internet of Things (IoT) technology to enable proactive maintenance interventions based on real-time data insights. Focusing on the context of the United States it highlights the significance of implementing such a system in the realm of eco-friendly energy infrastructure. The automotive and heavy-duty truck industries in the United States grapple with the challenge of optimizing maintenance strategies to ensure vehicle reliability, safety, and environmental sustainability. Traditional maintenance approaches, primarily reactive or scheduled maintenance, fall short in addressing the complexities of modern vehicle operations. The U.S. Department of Transportation reports that heavy-duty trucks transport approximately 70% of the nation's freight by weight, underscoring the sector's critical role in the economy. However, inefficiencies in maintenance strategies contribute to significant economic and operational setbacks. According to the American Transportation Research Institute, unscheduled truck maintenance and repairs are leading operational costs for fleets, with an average expense of 16.7 cents per mile in 2020, highlighting the financial strain of current maintenance practices. In the United States, the demand for eco-friendly power solutions is rapidly increasing, driven by a growing awareness of environmental sustainability and the imperative to reduce carbon emissions. As the nation transitions towards renewable energy sources and eco-friendly power facilities, the effective management of these assets becomes paramount to ensuring reliability, performance, and longevity. The EcoPFM PM System integrates diverse data sets sourced from eco-friendly power facilities across the USA, encompassing historical operational data, sensor readings, and environmental parameters. Through predictive analytics, the system identifies patterns and trends within these data sets to forecast equipment failures and performance degradation accurately. By prioritizing maintenance tasks based on risk assessment models and condition monitoring, the system enables organizations to optimize resource allocation, minimize downtime, and extend asset lifespan. Embracing the Frameworks of EcoPFM Predictive Maintenance System holds immense promise for organizations operating eco-friendly power facilities in the United States. By harnessing data-driven insights and proactive maintenance strategies, this system offers a pathway towards enhanced operational efficiency, cost reduction, and sustainability, ultimately contributing to the advancement of eco-friendly energy infrastructure in the nation. \u0000Keywords: Predictive Maintenance, Syst","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385400","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}
Femi Oluwatoyin Omole, Oladiran Kayode Olajiga, Tosin Michael Olatunde
Sustainable urban design is a critical component in addressing the challenges posed by rapid urbanization and the increasing strain on natural resources. This paper provides a comprehensive review of eco-friendly building practices and their impact on communities within the context of sustainable urban design. The first section examines the various eco-friendly building practices that contribute to sustainable urban design. This includes the use of renewable energy sources, green building materials, and energy-efficient technologies. The integration of these practices not only reduces the environmental footprint of urban developments but also enhances the overall resilience of the built environment. The second part of the paper focuses on the community impact of sustainable urban design. It explores how these eco-friendly practices can foster a sense of community, improve residents' quality of life, and promote social equity. Sustainable urban design goes beyond environmental considerations; it embraces a holistic approach that prioritizes the well-being of the inhabitants. Furthermore, the paper delves into case studies and examples of successful sustainable urban design projects from around the world. These examples showcase the positive outcomes of implementing eco-friendly building practices, such as improved air and water quality, reduced energy consumption, and the creation of vibrant, walkable neighborhoods. In conclusion, this paper highlights the importance of sustainable urban design in addressing the environmental and social challenges associated with urbanization. By adopting eco-friendly building practices, communities can not only mitigate the impact on the environment but also create healthier, more resilient, and socially inclusive urban spaces. This review serves as a valuable resource for urban planners, architects, and policymakers seeking to promote sustainable development and enhance the overall well-being of urban communities. Keywords: Urban Design, Eco-friendly, Building Practices, Sustainable Design, Review.
{"title":"SUSTAINABLE URBAN DESIGN: A REVIEW OF ECO-FRIENDLY BUILDING PRACTICES AND COMMUNITY IMPACT","authors":"Femi Oluwatoyin Omole, Oladiran Kayode Olajiga, Tosin Michael Olatunde","doi":"10.51594/estj.v5i3.955","DOIUrl":"https://doi.org/10.51594/estj.v5i3.955","url":null,"abstract":"Sustainable urban design is a critical component in addressing the challenges posed by rapid urbanization and the increasing strain on natural resources. This paper provides a comprehensive review of eco-friendly building practices and their impact on communities within the context of sustainable urban design. The first section examines the various eco-friendly building practices that contribute to sustainable urban design. This includes the use of renewable energy sources, green building materials, and energy-efficient technologies. The integration of these practices not only reduces the environmental footprint of urban developments but also enhances the overall resilience of the built environment. The second part of the paper focuses on the community impact of sustainable urban design. It explores how these eco-friendly practices can foster a sense of community, improve residents' quality of life, and promote social equity. Sustainable urban design goes beyond environmental considerations; it embraces a holistic approach that prioritizes the well-being of the inhabitants. Furthermore, the paper delves into case studies and examples of successful sustainable urban design projects from around the world. These examples showcase the positive outcomes of implementing eco-friendly building practices, such as improved air and water quality, reduced energy consumption, and the creation of vibrant, walkable neighborhoods. In conclusion, this paper highlights the importance of sustainable urban design in addressing the environmental and social challenges associated with urbanization. By adopting eco-friendly building practices, communities can not only mitigate the impact on the environment but also create healthier, more resilient, and socially inclusive urban spaces. This review serves as a valuable resource for urban planners, architects, and policymakers seeking to promote sustainable development and enhance the overall well-being of urban communities. \u0000Keywords: Urban Design, Eco-friendly, Building Practices, Sustainable Design, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385513","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 review paper examines the theoretical frameworks guiding electrical safety practices in water treatment facilities, with a focus on comparative analysis between Africa and the United States. It highlights the importance of electrical safety in mitigating risks associated with the operation of these facilities. It underscores the role of regulatory, cultural, economic, and technological factors in shaping safety practices. By analyzing the regulatory context, theoretical approaches, and challenges and opportunities within these regions, the paper identifies best practices and innovative solutions that can inform global standards for electrical safety. The comparative analysis reveals significant differences in regulatory frameworks, the application of theoretical models, and the adoption of safety practices, offering insights into the adaptability and flexibility required to improve electrical safety outcomes globally. The review emphasizes integrating diverse theoretical perspectives and practical experiences to enhance worldwide electrical safety standards and practices in water treatment facilities. Through this analysis, the paper contributes to the development of comprehensive, adaptable, and globally applicable safety frameworks, highlighting the need for international collaboration and knowledge exchange to achieve optimal safety levels across different regions. Keywords: Electrical Safety, Water Treatment Facilities, Comparative Analysis, Global Standards.
{"title":"A REVIEW OF THEORETICAL FRAMEWORKS FOR ELECTRICAL SAFETY PRACTICES IN WATER TREATMENT FACILITIES: LESSONS LEARNED FROM AFRICA AND THE UNITED STATES","authors":"Fatai Adeshina Adelani, Enyinaya Stefano Okafor, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala","doi":"10.51594/estj.v5i3.951","DOIUrl":"https://doi.org/10.51594/estj.v5i3.951","url":null,"abstract":"This review paper examines the theoretical frameworks guiding electrical safety practices in water treatment facilities, with a focus on comparative analysis between Africa and the United States. It highlights the importance of electrical safety in mitigating risks associated with the operation of these facilities. It underscores the role of regulatory, cultural, economic, and technological factors in shaping safety practices. By analyzing the regulatory context, theoretical approaches, and challenges and opportunities within these regions, the paper identifies best practices and innovative solutions that can inform global standards for electrical safety. The comparative analysis reveals significant differences in regulatory frameworks, the application of theoretical models, and the adoption of safety practices, offering insights into the adaptability and flexibility required to improve electrical safety outcomes globally. The review emphasizes integrating diverse theoretical perspectives and practical experiences to enhance worldwide electrical safety standards and practices in water treatment facilities. Through this analysis, the paper contributes to the development of comprehensive, adaptable, and globally applicable safety frameworks, highlighting the need for international collaboration and knowledge exchange to achieve optimal safety levels across different regions. \u0000Keywords: Electrical Safety, Water Treatment Facilities, Comparative Analysis, Global Standards.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140386003","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}