Jul 2026· International Journal of Creative and Open Research in Engineering and Management· Vol 02, pp. 1-9· 0 citations
Abstract
The rapid growth of urbanization, transportation demand, and environmental concerns has intensified the need for sustainable transportation systems worldwide. Transportation accounts for approximately 23–25% of global energy-related carbon dioxide emissions, making it one of the largest contributors to climate change. Simultaneously, renewable energy technologies such as solar, wind, hydrogen, and bioenergy have experienced significant advancements, creating new opportunities for their integration into smart transportation networks. Smart transportation networks leverage digital technologies, artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and advanced communication systems to improve mobility, efficiency, safety, and sustainability. The convergence of renewable energy systems with intelligent transportation infrastructure has emerged as a promising pathway toward achieving global sustainability goals and carbon neutrality targets.
This study presents a systematic review of renewable energy integration in smart transportation networks, synthesizing recent developments from 2018–2026. Using a PRISMA-based review methodology, relevant literature was identified, screened, and analyzed from major academic databases. The review examines renewable energy-powered electric vehicles, smart charging infrastructures, vehicle-to-grid technologies, hydrogen mobility systems, renewable-powered public transportation, and intelligent energy management systems. The findings reveal that renewable energy integration significantly reduces greenhouse gas emissions, enhances energy efficiency, and supports grid resilience. However, challenges including infrastructure limitations, intermittency of renewable resources, cybersecurity concerns, regulatory barriers, and high initial investment costs continue to hinder large-scale deployment.
The study develops a comprehensive framework highlighting the interaction between renewable energy sources, intelligent transportation technologies, and sustainability outcomes. Furthermore, future research directions are proposed, including AI-driven energy optimization, digital twins, blockchain-enabled energy transactions, autonomous electric mobility ecosystems, and integrated renewable microgrids. The findings contribute to both academic research and practical implementation by providing a comprehensive understanding of the technological, managerial, and sustainability implications of renewable energy integration in smart transportation systems.
Keywords: Renewable Energy, Smart Transportation Networks, Electric Vehicles, Vehicle-to-Grid, Sustainable Mobility, Intelligent Transportation Systems, Energy Management
The transportation sector remains one of the largest contributors to global energy consumption and carbon emissions, particularly in rapidly urbanizing and emerging economies. This study presents an integrative review of intelligent technologies, system optimization approaches, and policy frameworks aimed at improving transportation energy efficiency, with a focused assessment of the Association of Southeast Asian Nations (ASEAN) member states. By synthesizing evidence from peer-reviewed literature, international energy databases, and official policy documents, the study evaluates the roles of transport electrification, intelligent transport systems, artificial intelligence–based energy management, and regulatory support mechanisms. The analysis reveals that electrification alone delivers limited efficiency gains unless integrated with artificial intelligence–driven optimization tools such as predictive analytics, real-time traffic management, and coordinated energy–transport system control. Evidence from Malaysia, Thailand, and Indonesia demonstrates notable progress in electric vehicle incentives, manufacturing strategies, and battery supply chain development, while highlighting persistent barriers including inadequate charging infrastructure, fragmented regulations, data limitations, and supply chain instability. The findings further emphasize that alternative fuels and system-level operational strategies remain essential complementary solutions. Unlike previous reviews that examine transport electrification, intelligent transport systems, artificial intelligence applications, or policy measures separately, this study develops an integrated analytical perspective that evaluates their combined influence on transportation energy efficiency. The principal contribution of the review is the development of a unified AI-enabled conceptual framework that positions artificial intelligence as the central coordinating layer linking vehicle technologies, transport operations, energy management systems, and policy instruments. By focusing on ASEAN economies while maintaining broader applicability to emerging regions, the framework provides strategic guidance for accelerating the transition toward intelligent, energy-efficient, and climate-resilient transportation systems.
F. B. Ismail, S. T. Yousif, I. Albayati et al.· International Journal of Ene...· 0 citations
The increasing demand for clean, reliable, and sustainable energy has accelerated the adoption of hydrogen-based renewable energy systems as a key solution for achieving carbon neutrality. Green hydrogen, produced through water electrolysis powered by renewable energy sources such as solar and wind, offers a clean energy carrier with zero carbon emissions during utilization. Hydrogen can be stored for extended periods, transported efficiently, and converted back into electricity through fuel cells, making it an effective solution for addressing the intermittency of renewable energy sources. This paper presents a comprehensive review of hydrogen production technologies, storage methods, fuel cell systems, and their integration with renewable energy resources. It also discusses the role of hydrogen in smart grids, transportation, industrial applications, and microgrids. Furthermore, recent advancements involving artificial intelligence (AI), the Internet of Things (IoT), and digital twins for hydrogen energy management are reviewed. Finally, the paper highlights existing challenges, future research directions, and opportunities for large-scale commercialization.
Rajani Venkata Krishna, K.Pandu Kumar, Nawwaf Ali Khan et al.· International Research Journ...· 0 citations
It is the result of the increased urbanization levels and the simultaneous development of the metropolitan infrastructures that have resulted in the unprecedented growth of global energy demands. The current cities consume over 75 percent of the total energy being produced globally leading to the critical challenges related to peak-load management, grid resilience, carbon emissions, and integration of renewable energies. Green technologies of energy storage have become the key facilitators of dealing with these issues in order to enable effective capture, storage, and redistribution of energy. The paper will critically review the neo trends in sustainable energy storage of urban infrastructures with an analysis of electrochemical, mechanical, thermal, and hybrid energy storage models. The paper also assesses how smart grids, urban microgrids and decentralized energy networks can help increase resilience levels to energy at the urban level. In the review, there is a lot of literature to map the development of storage technologies, and method frameworks are built to analyze the performance, lifecycle viability, and integration capability. On the one hand, experimental outcomes and comparative modeling demonstrate the differences in the performances of different technologies in relation to energy density, environmental impact, expenses, and scalability. Based on the analysis, it is shown that, although the use of lithium-ion batteries will remain in the short-term storage, the long-term storage will be characterized by flow batteries, compressed-air energy storage (CAES), hydrogen storage, and thermal batteries, which are expected to dominate in the future city-scale application. It is shown in a multi-criteria analysis that hybrid storage architectures are the best to use with smart urban grids. The paper wraps up by giving the main policy considerations, technical challenges, and gaps in research, which should be resolved to achieve fully sustainable, scalable, and smart energy storage ecosystems in new urban city settings of the next generations.
Grace Ndlovu, Samuel Johnson· International Journal of Mod...· 0 citations
Rapid urbanization, increasing energy consumption, natural resource depletion, and intensifying climate change impacts have positioned the construction industry as a critical sector for sustainable development. Buildings account for substantial global energy consumption, greenhouse gas emissions, and resource utilization, making advanced building materials with smart functionalities and renewable origins essential for reducing environmental impacts while enhancing performance. Smart materials respond to external stimuli, including temperature, humidity, light, mechanical stress, and electric fields, by modifying their physical or chemical properties in controlled ways. Renewable building materials, derived primarily from renewable resources or bio-based feedstocks, contribute to reducing embodied carbon, energy consumption, and environmental pollution. Integrating smart and renewable materials can improve building durability and service life while reducing energy demand, maintenance costs, and carbon emissions. Their convergence with emerging technologies, including the Internet of Things, Building Information Modeling, Artificial Intelligence, and Digital Twin technology, creates opportunities for intelligent, energy-efficient, and low-carbon buildings. This study employs a systematic literature review to examine recent scientific advances in smart and renewable building materials, analyzing their main categories, functional characteristics, applications, advantages, limitations, and future trends. Findings indicate that self-healing concrete, self-sensing concrete, shape memory alloys, smart glazing systems, phase change materials, engineered wood, bio-based composites, and building-integrated photovoltaic systems can enhance structural performance and support sustainable architecture. However, high initial costs, insufficient implementation standards, technical complexity, limited long-term performance data, and constraints in large-scale manufacturing remain significant barriers to their widespread adoption, highlighting the need for further research, standardization, technological development, and interdisciplinary collaboration.
Mohammadreza Ghorbani, Dariush Sattarzadeh· Revista Transdiciplinaria de...· 0 citations
This review outlines pathways for clean energy technologies toward carbon neutrality, focusing on global progress and China's strategies. It begins with the necessity of transforming energy systems, highlighting challenges from integrating variable renewables like wind and solar, such as grid stability and flexibility needs. It then examines key technologies-solar, wind, hydropower, marine, biomass, hydrogen, nuclear, and emerging options like artificial photosynthesis and direct air capture-detailing their status and bottlenecks. A core section explores integration pathways: multi-energy complementary systems, energy storage (electrochemical, hydrogen), smart grids, microgrids, and cross-sectoral decarbonization (power, transport, buildings, industry). The review also evaluates supporting frameworks, including carbon markets, green finance, social acceptance, just transition principles, standards, and international cooperation. Finally, it summarizes major challenges-technological gaps, regional disparities, and climate impacts on resilience-and discusses future directions like controlled nuclear fusion, advanced artificial photosynthesis, and deep digital integration to build a clean, low-carbon, safe, and efficient modern energy system.
Rui Li, Yinglei Wu, Zhongyi He et al.· Environmental Reviews· 2 citations
This study investigates the integration of Emerging Computing Technologies into smart road infrastructures as a potential response to these challenges, and explores key enabling technologies for their capacity to support intelligent transportation systems.
Afzal Badshah, Ali Daud, S. Arafat et al.· Computers, Materials & C...· 0 citations
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