Greenenergy Awards

  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...

  1. Introduction The transition toward low-carbon transportation has intensified research on hydrogen-powered railways integrated within hydrogen energy parks. This study introduces a self-consistent multi-energy flow coordination framework that synchronizes hydrogen production, storage, transportation, and railway energy consumption. The objective is to enhance system efficiency, ensure energy reliability, and support sustainable railway operations within future green energy infrastructures. 2. Hydrogen Energy Parks and System Integration Hydrogen energy parks serve as centralized hubs that combine renewable energy generation, hydrogen production, storage, and distribution. This topic examines how railways can be seamlessly integrated into these parks, enabling coordinated energy exchange between power grids, hydrogen systems, and transportation networks while minimizing energy losses and operational conflicts. 3. Multi-Energy Flow Coordination Mechanism This section focuses...

  1. Introduction This research explores a novel fuzzy-based optimization framework for CSP hybridized systems, focusing on decision-making under uncertainty. By leveraging Pythagorean Fuzzy Sets, the study enhances conventional multi-criteria algorithms to better capture ambiguity in renewable energy performance assessment, offering a robust foundation for sustainable energy planning. 2. Pythagorean Fuzzy Set Theory in Energy Systems Pythagorean Fuzzy Sets provide greater flexibility than traditional fuzzy and intuitionistic fuzzy models by allowing a wider representation of uncertainty. This topic discusses how PFS improves the evaluation of complex energy parameters such as efficiency, reliability, and environmental impact in CSP hybrid systems. 3. Multi-Criteria Decision-Making Framework This section highlights the development of an improved fuzzy multi-criteria algorithm capable of balancing technical, economic, and environmental criteria. The approach enables comprehensi...

  1. Introduction Fouling in cooling tower bundles presents a significant challenge for the efficient operation of Concentrated Solar Power (CSP) plants, particularly under hybrid cooling configurations. This research introduces the fundamental concepts of fouling formation, its thermal and hydraulic implications, and the need for accurate identification techniques in next-generation cooling systems. By addressing fouling behavior at the bundle level, the study supports improved design strategies and operational reliability for sustainable solar power infrastructure. 2. Fouling Mechanisms in Hybrid Cooling Tower Bundles This topic examines the physical, chemical, and biological fouling mechanisms that develop within hybrid cooling tower bundles used in CSP plants. It highlights deposition processes, scaling behavior, and particulate accumulation that degrade heat transfer surfaces and airflow distribution. 3. Experimental Identification and Diagnostic Techniques Advanced diagn...

  1. Introduction Green factory certification plays a crucial role in aligning industrial growth with environmental sustainability. This topic introduces the concept of green factory certification, its policy background in China, and its growing importance in promoting environmentally responsible manufacturing. It sets the foundation for understanding how certification frameworks influence firms’ strategic behavior, investment in green technologies, and innovation outcomes within the broader context of sustainable development. 2. Green Factory Certification as an Environmental Policy Instrument This topic examines green factory certification as a formal environmental governance mechanism. It discusses how certification standards influence corporate environmental responsibility, reduce information asymmetry, and create regulatory pressure that motivates firms to comply with sustainability norms while pursuing innovation-driven competitiveness. 3. Mechanisms Linking Certification...

  1. Introduction Linking carbon reduction targets to actual carbon performance has become a critical challenge in sustainability research. While organizations increasingly commit to emission reduction goals, achieving tangible outcomes depends on internal capabilities and innovation-driven actions. This research framework emphasizes how strategic intent must be supported by organizational adaptability and technological innovation to translate climate ambitions into measurable environmental performance. 2. Carbon Reduction Targets as Strategic Signals Carbon reduction targets serve as strategic signals that guide organizational priorities, resource allocation, and long-term sustainability planning. When effectively integrated into corporate strategy, these targets motivate firms to adopt cleaner processes, monitor emissions rigorously, and align operational decisions with climate objectives, reinforcing accountability and performance orientation. 3. Role of Dynamic Capabilities...

  1. Introduction Green finance has emerged as a pivotal mechanism for aligning financial systems with climate and energy goals. This research investigates whether green finance can simultaneously enhance energy security and promote low-carbon transformation within listed electricity firms in China. By examining firm-level data, the study bridges the gap between sustainable finance theory and real-sector energy outcomes. 2. Green Finance and Energy Security The study analyzes how access to green financial instruments improves energy security by stabilizing capital flows, supporting clean energy investments, and reducing dependence on fossil fuels. Findings suggest that green finance strengthens firms’ capacity to manage energy risks while ensuring reliable electricity supply. 3. Low-Carbon Transformation of Electricity Firms Evidence shows that green finance significantly accelerates low-carbon transformation by encouraging renewable integration, cleaner production technologie...

  1. Introduction The rapid escalation of climate change and energy consumption has intensified the need for sustainable financial mechanisms that promote energy efficiency. Green bonds have emerged as a vital tool to channel capital toward environmentally responsible projects, particularly within the new energy sector. This introduction outlines the relevance of studying the relationship between green bond issuance and energy intensity, emphasizing its importance for advancing low-carbon development and sustainable economic growth. 2. Concept of Green Bonds in Sustainable Finance Green bonds represent a cornerstone of green finance, designed to fund projects that deliver measurable environmental benefits. This topic discusses the evolution, structure, and global adoption of green bonds, highlighting their role in mobilizing private and institutional capital for renewable energy, clean technologies, and energy-efficient infrastructure. 3. Energy Intensity as a Performance Indic...

  1. Introduction The green energy transition is a critical pathway toward sustainable economic growth and climate resilience, particularly in developing regions such as the East African Community. This research introduces the role of green energy transition financing and applies a Dynamic Fixed Effects–ARDL framework to examine both short- and long-run relationships between financial variables and renewable energy development. The study emphasizes evidence-based policymaking and regional cooperation to accelerate clean energy adoption while ensuring economic stability. 2. Concept of Green Energy Transition Financing This topic examines the theoretical foundations of green energy transition financing, focusing on public, private, and blended financial instruments. It analyzes how green bonds, climate funds, and development finance institutions support renewable energy expansion in emerging economies, with particular relevance to East Africa’s development goals. 3. Dynamic Fixed ...

  1. Introduction This research investigates how China’s green innovation ecosystem contributes to enhancing energy resilience under complex and evolving conditions. By integrating innovation capacity, policy coordination, and sustainable infrastructure, the study provides a holistic understanding of resilience-building mechanisms using a dynamic qualitative comparative framework. 2. Conceptual Framework of Green Innovation Ecosystems This topic explains the structure and functioning of green innovation ecosystems, emphasizing the role of institutions, firms, research organizations, and governance mechanisms in supporting sustainable energy development and long-term resilience. 3. Energy Resilience in the Context of China This section analyzes energy resilience as a strategic objective in China, focusing on diversification, technological self-reliance, and systemic adaptability to environmental, economic, and geopolitical uncertainties. 4. Application of Dynamic Qualitative Co...

  1. Introduction The integration of wind–solar power generation with coalbed methane well pumping represents a significant advancement in hybrid energy system research. This topic introduces the importance of optimal scheduling in managing intermittent renewable sources alongside continuous industrial energy demands. It emphasizes the role of optimization algorithms in reducing operational costs, improving energy efficiency, and supporting sustainable resource utilization within modern power systems. 2. Hybrid Energy System Integration This topic focuses on the research challenges and solutions associated with integrating wind, solar, and coalbed methane systems into a unified operational framework. It discusses system compatibility, energy balancing, and the importance of coordinated control strategies to ensure stable and reliable power supply. 3. Optimization Techniques in Energy Scheduling This research area examines mathematical and computational optimization methods use...

  1. Introduction This research introduces a deep learning–based methodology for improving LiDAR signal quality and atmospheric feature extraction. By integrating artificial intelligence with remote sensing, the study addresses persistent challenges such as signal noise, weak atmospheric returns, and feature misclassification. The proposed approach enhances data reliability and supports accurate atmospheric monitoring, making it valuable for climate studies, weather prediction, and environmental research. 2. Deep Learning Models for LiDAR Signal Denoising This topic focuses on how deep neural networks effectively learn complex noise patterns in LiDAR signals. Unlike traditional filtering methods, deep learning adapts to varying atmospheric conditions, resulting in cleaner signals and improved data interpretation for research and operational applications. 3. Atmospheric Feature Detection Using AI The research demonstrates how AI-driven models accurately detect atmospheric featu...

  1. Introduction China’s seasonal precipitation exhibits strong spatial and temporal variability driven by complex interactions between large-scale ocean–atmosphere teleconnections and local near-surface forcing. Understanding these interactions is fundamental to advancing climate science, improving precipitation predictability, and reducing the socio-economic risks associated with floods and droughts. This research synthesizes quantitative attribution methods to identify dominant drivers of seasonal rainfall anomalies across diverse climatic regions of China, offering valuable insights into Earth system dynamics and climate resilience planning. 2. Ocean–Atmosphere Teleconnections and Rainfall Variability Large-scale teleconnection patterns such as ENSO, the Pacific Decadal Oscillation, and the Indian Ocean Dipole significantly modulate China’s seasonal precipitation by altering atmospheric circulation, moisture transport, and monsoon intensity. Quantitative analysis reveals ho...

  1. Introduction The growing threat of antimicrobial resistance has intensified the search for alternative, nature-based antibacterial solutions. Oregano essential oil is well known for its strong antimicrobial properties; however, its volatility and poor stability limit its clinical application. This research explores the encapsulation of oregano essential oil within liposomal nanocarriers to improve stability, enhance antibacterial performance, and enable sustained release, offering a promising approach for advanced antimicrobial therapies. 2. Fabrication of Oregano Essential Oil Liposomes This topic focuses on the formulation strategies used to fabricate oregano essential oil–loaded liposomes, including lipid selection, encapsulation techniques, and process optimization. Emphasis is placed on achieving high encapsulation efficiency, nanoscale particle size, and formulation stability suitable for antibacterial applications. 3. Physicochemical Characterization of Liposomal Sy...

  1. Introduction Granite plays a pivotal role as the primary reservoir rock in Hot Dry Rock geothermal systems, where its fracture behavior governs permeability enhancement and heat extraction efficiency. Investigating granite under compressive–shear loading conditions provides critical insights into subsurface stress responses encountered during hydraulic stimulation. This research-driven introduction establishes the relevance of fracture mechanics to sustainable geothermal exploitation, emphasizing the need for controlled fracturing to minimize environmental risks while maximizing energy output. 2. Stress Interaction in Granite Under Compressive–Shear Conditions This topic focuses on how combined compressive and shear stresses interact within granite matrices, altering crack initiation thresholds and fracture angles. Experimental observations reveal that stress coupling significantly affects failure modes, transitioning from tensile-dominated cracking to shear-driven fracture...