ESTIDAMAA (E_ISSN: 3078-428X) is an academic journal dedicated to publishing research in the field of sustainability. Published by Peninsula Publishing Press in Dubai, ESTIDAMAA serves as a platform for researchers, academics, and professionals to explore innovative solutions that address environmental, social, and economic challenges. The journal welcomes original research, reviews, and case studies on topics such as sustainable development, renewable energy, climate change, green technologies, and sustainable urban planning. ESTIDAMAA aims to contribute to the global dialogue on creating a sustainable future by promoting interdisciplinary and impactful research.
Analytical assessment of green AI architectures for advancing sustainable resource use in circular economies
This We present a concise analytical write-up focusing on green AI architectures and sustainable resource use in circular economies. Two chenges in the transition to a circular economy are insufficient resource efficiency and sustainability assessment of decisions affecting resource use. AI-enabled solutions can contribute positively but often with energy and emissions costs that undermine their ecological value. The analytical lens examines green AI architectures that avoid, minimize or counterbalance adverse energy, data, and life-cycle sustainability impacts. The idea behind the circular economy is to use as few resources as possible and keep and recover as many materials as possible in socio-technical systems. It works by using closed-loop systems, product designs that make it easy to take things apart, and service models that make products last longer. The end goal is to separate economic growth from the use and depletion of natural resources. Encouraging the effective use of resources makes it easier to put circular economy ideas into action and speeds up the shift to fully circular production systems. The main goal of resource circularity is to close the material loop by efficiently getting valuable resources back through processes like extraction, collection, recovery, recycling, reproduction, and remanufacturing. Even though AI doesn't directly help, its impact on these processes is both big and life-changing.
Copyright (c) 2025 Abdulazeez AlSajri https://creativecommons.org/licenses/by/4.0
New Additions to the Sediments of the Tigris River from Al-Dora Bridge to Al-Mada'in for the Period 2015-2024
Tigris River is a fundamental freshwater body in Iraq; however, it is being put under more and more pressure due to urbanization, agricultural drainage, industrial effluents, as well as the climatic changes. The present study examines the dynamics of the Al-Dora BridgeAl-Mada in reach sediment during 20152024 in terms of physical, chemical and emergent contaminants. Sediment grain size, mineralogy, organic matter and heavy metals (Pb, Cd, Cr) were determined in 15 locations by laser diffraction, XRD, and ICP-MS, and maps produced using GIS. The findings indicate complete prevalence of fines (0.080.25 mm) with organic concentration between 5 to 12 percent. The urban sectors had heavy metal concentrations of more than the WHO limits with a range of Pb 0.02-0.03 mg/kg and Cd 0.002-0.003 mg/kg. Reported in 2018, microplastic concentrations were 50-150 particles/kg, mostly in and around urbanized regions. Spatial patterns have shown that agricultural areas were more enriched with organism and urban areas more contaminated. The results imply that the current river management approach requires certain refinements that could incorporate an effective approach to pollution control, sediment tracking, and land-use management to maintain the integrity of the ecological functioning of Tigris River.
Copyright (c) 2025 Rasha Abdulmajeed Jawad https://creativecommons.org/licenses/by/4.0
A Cloud based Smart Wireless Sensors using Secure Android Multi-Agent System
This paper aims to present a comprehensive proposal for the implementation of smart wireless sensor networks (WSNs) to monitor patients using smartphone devices. Smartphones offer three key capabilities that can be effectively leveraged in healthcare settings: first, the array of sensors integrated within smartphones; second, the wide range of communication technologies (i.e. WiFi, Bluetooth, IrDA, RF, etc.) which enable multiple pathways for transmitting data; and third, location services that can assist healthcare providers in tracking and locating patients. A major contribution of this paper is the conceptualization of a global healthcare information repository in the cloud, accessible via the internet. This repository would impose intelligent constraints on the WSN environment and serve as a valuable source of information for future research undertaken in the healthcare domain. I have formatted it as an academic paper introduction, tightened the writing in places, used more formal/technical language, and highlighted the key ideas and contributions. Please let me know if you would like me to modify or expand on any part of the rewrite.
Copyright (c) 2025 Mustafa M. Akawee, Raed A. Hasan, Enas F. Aziz, Modammed Ariff Ameedeen, Kassem Danach, Kassem Hamze https://creativecommons.org/licenses/by/4.0
AI in Smart Cities: A Review of Urban Data Processing, Prediction, and Optimization Techniques
Rapid advancement in the information and communication technologies ICs has recently provided new techniques for processing and analyzing the current data sources in smart cities. Various technologies for distributing cities to build them more livable, efficient, intelligent, sustainable and resilient. Intelligent and efficient data processing models for machine vision smart cities applications include intelligent detecting systems to monitor vehicle speeds and flow and pedestrian movements in roads and walkways. Smart and efficient storage and retrieval models for processing massive video data in the cloud for vehicle and traffic law monitoring in video surveillance and transportation systems are also discussed. Imaging and recognition-based models for analyzing the currently prevalent image data in cities are also reviewed, including deep learning-based fire recognition systems for smart fire prevention and manhole cover detection systems in the roadway and street monitoring. There is also a noteworthy review of prediction models for flow data in smart cities to anticipate traffic congestion and pedestrian movement trends. In addition, there are optimization models applied in smart cities, including intelligent routing models and path planning for vehicle navigation in logistics/distribution and delivery systems [1]. The above family of models are mainly adapted to smart mobility and pedestrian application domains. However, there are also various researchers working on data processing models in other urban domains, either independently or in an integrated manner with transportation. Numerous smart city platforms in the markets for data management and integration with diverse applications have also been reviewed. It is promising to deliver a relatively comprehensive review of urban data processing models with various techniques for different application domains. Smart cities have been subjected to rapid growth and therefore have become a major trend in the development of smart environments. Smart cities aim to improve the livability of urban settlements, enhance sustainability, and reduce operational costs. The smart city concept is expected to be of enormous benefit and it has been embraced by major cities around the world. However, the vision value of smart cities can only be fully realized through the successful integration of cutting-edge technologies and promising urban management models.
Copyright (c) 2025 Ismael khaleel Khlewee, Kassem Hamze, Tirus Muya https://creativecommons.org/licenses/by/4.0
Natural Language Processing-Driven Communication for Improved Citizen Alignment in Smart Cities
This study aims to explore the integration of smart buildings (SBs) into smart cities (SCs) and assess their potential to improve urban performance. It uses AI tools, such as OpenAI’s ChatGPT and Google Bard, to evaluate 26 SB service criteria across five SC domains: energy, mobility, water, and waste management. The study employs an AI-driven methodology to quantify the cost-effectiveness, resilience, and sustainability of SCs. The framework involves five processes: (1) scraping smart city announcements from the web, (2) typescript pre-processing, (3) using a latent Dirichlet allocation model for strategic topics, (4) measuring intertopic similarities with Hellinger distance, and (5) assessing communication trends in real-world urban environments. The study deconstructs top-down discourses of smart cities to uncover political programs aimed at aligning citizens and improving urban outcomes. Insights gained from the analysis reveal the impacts of SB services on SC domains, identifying areas for further integration and enhancement. This study presents a novel AI-driven approach to evaluate the integration of SBs into SCs, providing a comprehensive assessment of their performance. The findings offer valuable insights into the potential benefits and challenges of incorporating smart buildings into urban environments, highlighting opportunities for improved cost-effectiveness, resilience, and sustainability.
Copyright (c) 2025 Weiwei Jiang, Mohammed Almaayah, Rami Shehab https://creativecommons.org/licenses/by/4.0
Federated Learning for Smart and Sustainable Forest Fire Detection in Green Internet of Things
With the exponential rise in the adoption of the Internet of Things (IoT), sensors have become an essential part of smart systems, enabling real-time monitoring and control in applications such as energy management, security, and safety. Among these, early fire detection is a critical application to prevent devastating consequences. This paper introduces a novel Federated Learning (FL) framework designed for the rapid detection of forest fires within smart and sustainable environments using the Green Internet of Things (GIoT). The proposed framework integrates distributed learning across multiple edge devices to detect fire incidents without compromising data privacy. It leverages a modified DenseNet121 architecture enhanced with a soft attention mechanism, capable of accurately classifying fire and no-fire scenarios even under challenging weather conditions. The dataset was augmented to simulate fog and haze, ensuring model robustness in real-world environments. The experimental results demonstrate that the proposed system achieves outstanding performance with a training accuracy of 97.8% and a validation accuracy of 97.06%, confirming its effectiveness and scalability in edge-enabled fire detection systems.
Copyright (c) 2025 Aitizaz Ali, Umar Islam https://creativecommons.org/licenses/by/4.0
Mapping the Intersection of Artificial Intelligence and the Sustainable Development Goals: A Bibliometric and Scientometric Analysis (2003–2025)
This study presents a comprehensive bibliometric analysis of global research at the intersection of Artificial Intelligence (AI) and the Sustainable Development Goals (SDGs) from 2023 to 2025, based on 1,349 Scopus-indexed documents. The findings reveal a rapidly emerging yet structurally diverse field characterized by high thematic dispersion, moderate growth, and early citation impact. India leads in research output, while countries like Malaysia and Saudi Arabia exhibit high international collaboration rates. Conceptual mapping identifies two dominant clusters: one focused on applied sustainability domains and another on foundational AI methods and education. Despite growing momentum, challenges remain in metadata consistency, ethical integration, and translation of knowledge into actionable outcomes. This work provides a critical reference point for advancing AI-SDG scholarship toward greater coherence, inclusivity, and global policy relevance.
Copyright (c) 2025 Abdelaziz I. Hammouri, Amiza Amir https://creativecommons.org/licenses/by/4.0
Evaluating Educational Strategies Focused on Achieving Sustainable Development Goals in Diverse Global Contexts
This paper examines educational strategies focused on achieving the United Nations Sustainable Development Goals (SDGs) across diverse global contexts. Education plays a pivotal role in promoting sustainable development, yet its alignment with SDGs remains a complex challenge due to varying cultural, economic, and institutional contexts. This study explores different educational approaches, including curriculum integration, experiential learning, teacher training, and the use of technology, to advance sustainability. Through case studies from both developed and developing countries, as well as marginalized communities, the paper evaluates the effectiveness of these strategies and the barriers faced in their implementation. It also discusses the importance of measuring the impact of educational initiatives on SDG progress, using key performance indicators and impact assessment tools. The findings highlight the need for tailored educational models that account for regional differences, as well as the critical role of policy, governance, and strategic partnerships in overcoming challenges. The paper concludes with actionable recommendations to enhance the integration of sustainability into education systems worldwide, ensuring a long-term impact on achieving SDGs for future generations.
Copyright (c) 2024 Ahmed Abdel Qader Ismail Alnajem, Yitong Niu, Amer Ibrahim https://creativecommons.org/licenses/by/4.0
Transitioning Emerging Economies Toward Sustainability by Implementing Targeted Policy Interventions
Transitioning emerging economies towards sustainable development is critical to addressing global environmental, social and economic challenges. This study examines the role of targeted policy interventions in accelerating sustainable development in developing countries. Analyzing case studies and data from various sectors, the study identifies key drivers of renewable energy adoption, circular economic inclusion, adaptation, and sustainable agricultural practices permanent The importance of the study to adapt policies to local conditions, apply economic incentives, and foster international cooperation. Furthermore, it highlights the challenges posed by political instability, resource scarcity and lack of technical capacity, providing strategic recommendations to mitigate these barriers Findings highlight the potential of targeted interventions to change development trajectories, achieve the Sustainable Development Goals (SDGs) and ensure long-term resilience plant in emerging economies. This research contributes to the discourse on sustainability by providing actionable insights for policy makers, stakeholders and international organizations committed to promoting sustainable development in the world all of the above.
Copyright (c) 2024 Amer Ibrahim https://creativecommons.org/licenses/by/4.0
Advancing Urban Sustainability Through Public-Private Collaboration to Create Environmentally Conscious Infrastructure
The study dealt with the role of artificial intelligence applications in developing educational and learning strategies in higher education, by enhancing administrative work, increasing the efficiency of scientific and cognitive capabilities, and development of scientific research, in an optimal educational environment, Besides, it revealed the possible barriers accompanying the use of electronic machines. The study observed that using Artificial Intelligence devices at high levels of advancement and high sources of expenditure was their effective role for the advancement of higher education institutions and even improving labor productivity for the purpose of making the whole process of learning transactions more effective, so there is an urgent need to structure the awareness of stakeholders in education regarding the importance of using these devices to develop teaching and learning strategies and not to make challenges in front of fearing human resources. It is worth mentioning that the descriptive analytical method has been used in this study, which indicated the role of artificial intelligence and its applications in human capital development in higher education institutions.
Copyright (c) 2024 Rui Wang, Zhaoju Jia, Chaofan Ji, Haiyang Wang, Jianlin Yao, Yuqing Yang https://creativecommons.org/licenses/by/4.0
Advancing Energy Efficiency with Smart Grids and IoT-Based Solutions for a Sustainable Future
Increasing global energy demand, coupled with environmental concerns and limited resources has created an urgent need for sustainable and efficient energy management Traditional energy systems , characterized by its inefficiency and reliance on fossil fuels, is unable to meet the growing need for sustainable energy. This research addresses these challenges by investigating the integration of smart grids and Internet of Things (IoT) technologies to increase energy efficiency, reduce carbon emissions, and enable energy systems types have been improved upon Determine the integration of assembly, energy savings, system reliability, and impact on renewable evaluation capabilities.The findings suggest that combined implementation of these technologies can lead to a 20-25% reduction in energy consumption, a 30-35% reduction in carbon emissions and a 40% improvement in grid reliability in Furthermore, the integration of renewable energy reaches 50-60%, where IoT-enabled -Consumer awareness increases by 60% as device monitoring drives These results highlight the potential of smart grids and IoT-based solutions in solving critical energy challenges and paving the way to emphasize a sustainable energy future. The review concludes with a call for continued innovation, management and policy support to enable wider global adoption of this transformative technology.
Copyright (c) 2024 Dima Haider Rasheed, Sagar B. Tambe https://creativecommons.org/licenses/by/4.0
The Role of Green Technologies in Mitigating Carbon Footprints in Industrial Sectors
Due to energy-intensive processes, dependence on fossil fuels and poor waste management, industry is among the largest contributors to global carbon emissions This environment this growing environmental problem highlights the urgent need for sustainable solutions to reduce carbon emissions. This study examines the role of green technologies in addressing these challenges, focusing on renewable energy systems, carbon capture and storage (CCS), circular economic practices, and digital products on the other hand. The main objective is to assess how these technologies can reduce greenhouse gas emissions and increase energy efficiency and potentially increase the industrial sustainability of resources activities in the field. Findings show that integrating green technologies can lead to a 25% reduction in energy consumption, 85% efficiency in carbon capture, and greenhouse gas emissions has decreased by 50% in a decade Furthermore, sustainable materials and energy efficiency solutions promise to reduce waste and improve the relative quality of infrastructure use Display results. Despite constraints such as high start-up costs and technical barriers, the study highlights the significant potential of green innovation to transform technology It provides a call to action for businesses , policy makers and consumers to embrace this technology as a means to achieve global sustainability goals ends.
Copyright (c) 2024 Israa Ibraheem Al Barazanchi, Dima Haider Rasheed https://creativecommons.org/licenses/by/4.0
Assessing the Impact of Circular Economy Practices on Global Waste Management Systems
The enormous rate of urbanization, industrialization and unreasonable consumption positions severe pressure on global waste management systems as well as the exceedingly fast pace of pile-up of rubbish threatening a broke ecological balance. This research investigates the Circular economy (CE) practices as a constructive strategy to solve these problems. However, the issue is that our current linear waste management systems are extremely inefficient, having an overreliance on the use of landfilling and incineration for disposing of waste, leading to resource depletion and greenhouse gas emissions. This research aims to assess the effects of CE practices on waste reduction, resource efficiency and landfill diversion with a view towards understanding regional variability and the obstacles(s) and opportunities to adoption. The study adopts a mixed-methods perspective, combining qualitative data from stakeholder interviews and case studies with quantitative information concerning waste management performance. Highlights show that the CE practices decrease waste generation by 25–40%, boost recycling rates of up to 50–65%, and divert as much as 70–80% of waste away from landfills. The research still points to challenges including economic costs, gaps in policy and technology especially in the developing world. The results are closely aligned with global benchmarks and affirm the efficacy of CE practices. Finally the paper provides policy implications aimed at policymakers, industries and researchers observing that to promote faster adoption of CE practices there is an urgent need for coherent policies, technological innovation and public awareness. Combined, these results highlight how CE principles can transform waste management systems and support the pursuit of global sustainability goals.
Copyright (c) 2024 Noor Al-Huda K. Hussein, Xin Huang, Xiang Li, Jianling Yao https://creativecommons.org/licenses/by/4.0
Integrating Renewable Energy Systems into Urban Planning for Sustainable Cities
The 21st century has seen a race of urbanization, one that is rapidly increasing energy demands and leading to environmental degradation as well as climate change due to the dependency on fossil fuels. While the shift to urban sustainability is a major solution to this issue, how renewable energy systems may fit into well-orchestrated urban planning remains an open question. Our goal is to explore approaches, tools and governance frameworks for cities to transition towards renewable energy given the optimal economic, social,, and environmental impact. A summary of key findings states, "As this paper demonstrates, the integrated use of renewable energy significantly curtails greenhouse gases, achieving 1.2 million tons of CO₂ reductions per year and providing renewables for a full 35% of urban energy demand." It also points to economic advantages, such as $200 million in annual energy savings and 5,000 direct jobs created in renewable energy. Social equity is also a part of the study, with 10,000 households receiving clean energy. These findings constellate around the relevance of the inclusion of renewables in urban planning as an alternative solution to climate change but also a driver of urban resilience and sustainable development more generally. We urge all stakeholders to implement inclusive policies, invest in innovative technologies and mobilize communities in order to accelerate the transition towards renewable energy systems for cities
Copyright (c) 2024 Noor Al-Huda K. Hussein, Ola Mohammed Basel https://creativecommons.org/licenses/by/4.0
A Review on the Impact of Fly Ash on the Resistance of Ultra-High Performance Concrete to Acid and Sulfate Attacks
A huge amount of fly ash (FA) was generated every year and dumped in landfills in large quantities and leading to environmental pollution issues. The use of FA in normal concrete and ultra-high performance concrete (UHPC) can reduce pollution in both cases, namely, reduce the accumulation of FA as waste material in landfills and reduce the cement production that generates around 7% of total carbon dioxide (CO2) emissions. This study is a comprehensive review to find out the effect of FA on some durability properties of UHPC, namely acid and sulfate attacks. The results indicate that the use of FA has a positive effect on the increase in the resistance of UHPC samples against acid and sulfate attacks. It is recommended to use nano-FA in the treatment of corrosion and carbonation of UHPC.
Copyright (c) 2024 Asal M. Hamad , Hussein M. Issa, Rodhan Abdullah Salih, Jafar Keighobadi, Azil Bahari Alias , Raed A. Hasan, Noah Mohammed Saleh, Ali Mohammed Saleh , Hussein M. Hamada , Idan I. Ghdhban https://creativecommons.org/licenses/by/4.0
Features and functional components in the use of artificial intelligence in human capital development (higher education as a model)
The study addressed the role of artificial intelligence applications in enhancing educational and learning strategies in higher education, by improving administrative functions; raising the efficiency of scientific and cognitive capabilities, and developing scientific research, in an improved educational environment, in addition to revealing the potential obstacles that accompany the process of using electronic machines. The study concluded that artificial intelligence has an effective role in enhancing and improving the performance of higher education institutions, which made the learning process more efficient, so there is an urgent need to raise awareness among stakeholders in education about the importance of using artificial intelligence applications in teaching and learning strategies, and not to make challenges an obstacle in employing human resources. The study relied on the descriptive analytical method to reveal the role of artificial intelligence and its applications in developing human capital in higher education institutions.
Copyright (c) 2024 Abaker Abdelbanant Adam Ibrahim https://creativecommons.org/licenses/by/4.0
Resilience and Adaptation to Climate Change: Community-Based Strategies in Coastal Regions
Coastal communities are highly vulnerable to climate change impacts, including sea level rise, extreme weather events, and ecological degradation These challenges pose significant threats to the livelihoods, infrastructure and well-being of coastal communities , especially in developing areas with limited resources to grow The effectiveness of -based optimization strategies (CBA) is investigated. The crisis statement focuses on the urgent need for sustainable and adaptable adaptation solutions that can mitigate the negative impacts of climate change, and enable communities to take ownership of these efforts. Traditional top-down approaches have generally proven inadequate to address the unique socio-cultural and environmental dynamics of coastal areas. The objectives of this study are threefold: to identify and analyze key CBA strategies that have been implemented in coastal areas, to assess their effectiveness in reducing vulnerability and increasing resilience, and to explore the role of local knowledge, resources and governance play a part in the development of a successful change strategy. The results show significant improvements in several key areas. Income increased by 25%, and 35% of households adopted climate-resilient lifestyles. Economic losses from disasters were reduced by 45% and key infrastructure was strengthened by 80% against climate risk. The study found a 28% reduction in climate-related diseases, a 90% increase in water quality and the restoration of 600 hectares of biodiversity, leading to a loss of biodiversity above 20%. In addition, 75% of the community participated actively in decision-making, and 65% of the reform projects integrated traditional knowledge. These findings suggest that CBA strategies not only effectively reduce the immediate risks of climate change, but also build long-term resilience by empowering communities to lead the adaptation process. The study highlights the importance of scaling up these initiatives to increase coastal resilience globally.
Copyright (c) 2023 Yitong Niu, Vugar Abdullayev, Abuzarova Vusala Alyar, Asgarov Taleh Kamran https://creativecommons.org/licenses/by/4.0
Green Technologies and Their Role in Mitigating Climate Change: A Comparative Study Across Developing Nations
Climate change poses major challenges around the world, with developing countries particularly vulnerable due to lack of resources and services. Green technologies—such as renewable energy, sustainable agriculture, and green materials—offer promising solutions to mitigate climate change impacts but the adoption of these technologies in developing countries are still uneven, driven by political, economic, and technological factors. This study seeks to examine the role of green technologies in climate change mitigation in four developing countries—India, Brazil, South Africa, and Kenya—through comparative analysis. The problem statement focuses on the inequitable adoption of green technologies in developing countries, where financial constraints, lack of technical expertise, and inconsistent government policies prevent widespread implementation And as a result comes to be considered which shows that green technologies have contributed significantly in reducing carbon emissions in these countries. For example, India’s solar power system installed 62 GW of solar capacity, reducing emissions by 150 million metric tons per year. Brazil’s biofuel industry, which produces 35 billion liters of ethanol a year, has reduced its reliance on fossil fuels for transportation. The Kenya geothermal sector generated 863 MW of electricity, reducing the country’s dependence on fossil fuels by 45%. However, the study also highlights barriers such as inadequate funding, inadequate infrastructure and social opposition, which limit the potential of all these technologies.
Sustainable Supply Chain Management: Best Practices for Reducing Environmental Footprints in the Global Apparel Industry
Coastal regions are increasingly vulnerable to the impacts of climate change, including rising sea levels, extreme weather events, and ecosystem degradation. These challenges pose significant risks to the livelihoods, infrastructure, and well-being of coastal communities, particularly in developing regions where resources for adaptation are limited. This study investigates the effectiveness of community-based adaptation (CBA) strategies in enhancing resilience in coastal areas by involving local populations in the design and implementation of adaptation efforts. The problem statement focuses on the urgent need for sustainable and scalable adaptation solutions that can mitigate the adverse effects of climate change while empowering communities to take ownership of these efforts. Traditional top-down approaches have often proven insufficient in addressing the unique socio-cultural and environmental dynamics of coastal regions. The objectives of this study are threefold: to identify and analyze the key CBA strategies employed in coastal regions, assess their effectiveness in reducing vulnerability and enhancing resilience, and explore the role of local knowledge, resources, and governance in driving successful adaptation initiatives. The results demonstrate significant improvements in several key parameters. Income stability increased by 25%, with 35% of households adopting climate-resilient livelihoods. Disaster-related economic losses were reduced by 45%, and 80% of key infrastructure was fortified against climate threats. The study also found a 28% reduction in climate-related illnesses, a 90% increase in access to clean water, and a restoration of 600 hectares of ecosystems, leading to a 20% increase in biodiversity. Moreover, 75% of the population actively participated in decision-making, and 65% of adaptation projects integrated traditional knowledge. These findings suggest that CBA strategies not only effectively reduce the immediate risks posed by climate change but also foster long-term resilience by empowering local communities to lead the adaptation process. The study underscores the importance of scaling these initiatives to enhance coastal resilience globally.
Copyright (c) 2023 Haoyuan Pan, Rui Wang, Haiyang Wang, Zhaoju Jia https://creativecommons.org/licenses/by/4.0
Harnessing Renewable Energy for Sustainable Urban Development: Case Studies from the MENA Region
This study examines the potential of renewable energy for sustainable urban development in the Middle East and North Africa (MENA) region, focusing on key case studies such as Masdar City (UAE), the Noor Sour Complex (Morocco), and the Egyptian Gulf of Suez Wind Energy Project. The crisis narrative addresses the MENA region’s increasing reliance on fossil fuels, increasing energy demand due to rapid urbanization, and the environmental and economic challenges associated with energy of commonly used sources. The study aims to assess how renewable energy can be incorporated into urban planning to meet growing energy needs while reducing environmental impact and improving energy security. The study examines the geographical advantages of the MENA region, such as the abundance of solar and wind energy, highlighting the success of renewable energy as well as identifying the main barriers to the implementation of renewable energy, including high upfront costs, fossil fuel subsidies, policy inconsistencies, restrictions -and public awareness. The results indicate that although this region has the potential to exploit more renewable energy sources, overcoming economic, technical and social challenges are needed for greater adoption The study provides recommendations a it is used to strengthen regional policies, encourage investment, encourage technological innovation and ends.
Copyright (c) 2023 Vugar Abdullayev, Yitong Niu, Nazila Ragimova, Abuzarova Vusala Alyar, Asgarov Taleh Kamran https://creativecommons.org/licenses/by/4.0
The Role of Circular Economy in Achieving Sustainable Development Goals (SDGs): An Integrative Framework
Circular Economy (CE) offers a comprehensive approach to address the growing environmental, economic and social challenges posed by traditional linear economic systems, especially in achieving the UN Sustainable Development Goals (SDGs). about the ho. This study aims to examine the role of the circular economy in advancing specific SDGs, including SDG 12 (Responsible Management and Action), SDG 13 (Climate Action), SDG 6 (Clean Water and Sanitation), there is SDG 7 (Affordable and Clean) Energy) , SDG 8 (Decent Infrastructure and Economic Growth), and SDG 9 (Infrastructure, Innovation and Infrastructure Effective). By applying CE principles to these goals, the study identifies key areas where circular practices can contribute to global sustainability efforts. Findings suggest that, despite substantial benefits, several barriers—such as policy and regulatory barriers, financial and market challenges, and technological infrastructure gaps—impede the realization of circular economic potential completely The study concludes that structural changes, innovations to address these challenges , and emphasize the importance of intersectoral collaboration to facilitate the transition to a more sustainable and circular economy plant.
Copyright (c) 2023 Abdulaziz Aborujilah, Haiyang Wang, Yitong Niu, Chaofan Ji, Yuqing Yang https://creativecommons.org/licenses/by/4.0