Greenenergy Awards

1. Introduction The green trade transition represents a critical shift in how countries align international trade with environmental sustainability goals. In OECD economies, this transition is driven by a combination of regulatory pressure, technological advancement, and global climate commitments. This research introduces the concept of green trade, highlights its relevance in contemporary economic discourse, and establishes the importance of empirically identifying its key determinants using dynamic panel modeling techniques. 2. Conceptual Framework of Green Trade in OECD Economies This topic examines the theoretical foundations of green trade, focusing on how environmental standards, trade liberalization, and sustainable production interact within OECD countries. It discusses the evolution of green trade policies and their role in promoting environmentally responsible exports and imports while maintaining economic competitiveness. 3. Methodological Approach Using Dynamic Panel Model...

  1. Introduction The integration of Computational Fluid Dynamics (CFD) with Artificial Neural Networks (ANN) represents a transformative approach in modern engineering research. Traditional CFD methods, while accurate, are computationally intensive, especially for complex blade deformation and aerodynamic response analysis. By coupling CFD with ANN models, researchers can achieve faster predictions without compromising accuracy, enabling efficient optimization of blade design in renewable energy and turbomachinery applications. 2. CFD-Based Aerodynamic Modeling CFD plays a critical role in capturing complex airflow behavior around rotating blades, including turbulence, pressure distribution, and wake interactions. In this research context, CFD simulations provide high-fidelity datasets that describe aerodynamic loads and deformation patterns under varying operating conditions. These simulations form the foundational knowledge base for training intelligent predictive models. 3....

  1. Introduction The integration of offshore wind power with hydrogen energy storage systems has emerged as a promising solution for addressing intermittency challenges and achieving long-term sustainability goals. Life Cycle Environmental Impact Assessment (LCA) provides a comprehensive framework to evaluate the environmental performance of such integrated energy systems across all life cycle stages. This research focuses on understanding how offshore wind–hydrogen systems contribute to emissions reduction, energy efficiency, and sustainable resource utilization within the broader context of global energy transition. 2. Life Cycle Assessment Framework for Offshore Wind Systems This topic examines the methodological framework used to conduct life cycle assessments of offshore wind power systems. It highlights key stages such as raw material extraction, turbine manufacturing, transportation, offshore installation, operation, maintenance, and end-of-life disposal or recycling. By...

  1. Introduction The experimental determination of hydrodynamic forces acting on vertical cylinders plays a vital role in offshore and coastal engineering research. Vertical cylindrical structures are commonly used in offshore platforms, wind turbine foundations, and marine energy devices. Understanding how waves and currents interact with these structures enables accurate prediction of loading conditions, ensuring structural safety, efficiency, and long-term sustainability in harsh marine environments. 2. Experimental Setup and Methodology This research employs controlled laboratory experiments using wave flumes and current tanks to simulate real ocean conditions. Force sensors and pressure transducers are used to measure inline and transverse forces on vertical cylinders. By varying wave height, wave period, and current velocity, the study systematically captures hydrodynamic responses under combined loading scenarios. 3. Hydrodynamic Force Measurements Accurate measurement...

  1. Introduction The increasing demand for resilient offshore structures has driven significant research into advanced hull design methodologies capable of withstanding extreme dynamic loads. Slamming loads, caused by high-impact interactions between waves and hull surfaces, pose critical challenges to structural integrity, fatigue life, and safety. This research introduces a simulation-based optimization approach that integrates numerical modeling with composite material design to enhance offshore structural resilience. 2. Simulation Modeling of Slamming Loads Accurate simulation of slamming loads is essential for predicting transient stresses and deformation in offshore composite hulls. This topic explores numerical techniques such as finite element analysis and hydrodynamic modeling to replicate real-world impact conditions. The research highlights how simulation-driven insights reduce experimental costs while improving predictive reliability in offshore structural assessments....

  1. Introduction The rapid deployment of smart grids has transformed modern energy systems by enabling real-time monitoring, decentralized generation, and enhanced operational efficiency. However, these advancements have also introduced new vulnerabilities, particularly energy theft and privacy breaches. This research introduces an incentive-based, privacy-aware energy theft detection framework grounded in contract theory, aiming to balance detection efficiency with consumer data protection while supporting sustainable and secure smart grid ecosystems. 2. Contract Theory in Smart Grid Security Contract theory provides a powerful analytical tool to model asymmetric information between utility providers and consumers in smart grids. This topic examines how incentive-compatible contracts can motivate truthful energy usage reporting, reduce fraudulent behavior, and align stakeholder objectives while addressing information imbalance in cyber-physical energy systems. 3. Privacy-Awar...