Greenenergy Awards

  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...

  1. Introduction The global shift toward smart cities has intensified the need for effective renewable energy policies that support sustainable urban development. Singapore and the UAE represent two distinct yet ambitious models of smart city evolution, driven by advanced technology, strong governance, and long-term sustainability visions. This research introduces a comparative econometric framework to evaluate how renewable energy policies perform within these smart city ecosystems, focusing on measurable economic and environmental outcomes. 2. Renewable Energy Policy Frameworks in Smart Cities Renewable energy policies in smart cities are designed to integrate clean energy generation with digital infrastructure, intelligent grids, and data-driven governance. This topic explores policy instruments such as feed-in tariffs, renewable portfolio standards, tax incentives, and public–private partnerships, analyzing how these tools shape energy transitions in technologically advance...

1. Introduction Cybersecurity of critical infrastructure has become a global research priority due to the increasing complexity and frequency of cyberattacks. Traditional defense mechanisms often fail against advanced persistent threats, making adaptive and deceptive security models essential. Control and decision-making in deceptive multi-computer systems offer a proactive approach, enabling systems to mislead attackers, learn from previous encounters, and dynamically respond to threats. This research domain bridges cybersecurity, artificial intelligence, and control theory to build resilient infrastructure protection strategies. 2. Deceptive Computing as a Cyber Defense Strategy Deceptive computing introduces controlled misinformation and decoy environments to confuse attackers and delay malicious actions. In multi-computer systems, deception enables defenders to observe attacker behavior without exposing real assets. Research in this area focuses on designing intelligent deceptio...

  1. Introduction The growing demand for clean and sustainable energy has accelerated interest in offshore photovoltaic (PV) systems, particularly in coastal regions with high solar potential. This research focuses on the Northwest Pacific coastal waters, where offshore solar energy presents a promising solution to land scarcity and carbon emission reduction. By integrating GIS and Fuzzy-AHP methodologies, the study provides a systematic and scientific approach to identifying optimal offshore PV sites while balancing environmental protection, technical feasibility, and economic viability. 2. Role of GIS in Offshore Photovoltaic Site Selection Geographic Information Systems (GIS) play a critical role in spatial analysis for offshore PV planning by enabling the visualization and integration of multiple geospatial datasets. Factors such as water depth, distance from shore, solar radiation, seabed conditions, and protected marine areas can be efficiently analyzed using GIS tools. T...

  1. Introduction Nonlinear pressure fluctuation management has emerged as a key research area in large-power vehicular PEM fuel cell systems due to its direct influence on hydrogen utilization efficiency, stack durability, and operational stability. Ejector-based hydrogen recirculation systems, while passive and energy-efficient, exhibit complex nonlinear behaviors under transient load conditions. This topic introduces the fundamental challenges, research motivations, and the importance of advanced pressure control strategies in high-power PEMFC applications. 2. Nonlinear Dynamics of Ejector-Based Hydrogen Recirculation The hydrogen ejector operates under highly nonlinear flow and pressure relationships influenced by stack demand, anode pressure, and supply variations. This topic examines the mathematical and physical modeling of nonlinear pressure dynamics, highlighting instability mechanisms, flow choking phenomena, and coupling effects within large-scale vehicular PEMFC syst...