Greenenergy Awards

  1. Introduction The increasing demand for sustainable energy solutions has driven the need to analyze national electrical systems through innovative frameworks such as energy metabolism. In Mexico , the interaction between electricity generation, distribution, and industrial consumption plays a critical role in shaping the country’s energy transition. This research introduces an integrated perspective that evaluates how energy flows across sectors, emphasizing efficiency, sustainability, and resilience. By understanding the metabolic structure of the electrical system, policymakers and researchers can identify inefficiencies and develop strategies to reduce carbon emissions while ensuring energy security. 2. Energy Metabolism Framework in Electrical Systems This topic explores the concept of energy metabolism as a tool to analyze how energy is produced, transformed, and consumed within an electrical system. By applying this framework, researchers can quantify energy flows and ...

  1. Introduction Consumption-based climate targets extend beyond national borders by accounting for emissions embedded in imported goods and services. This research introduces Sweden’s approach to addressing global carbon footprints through sustainable consumption and production frameworks. By integrating environmental accounting with policy strategies, the study highlights the importance of shifting from production-based metrics to consumption-based emission assessments in achieving long-term climate neutrality goals. 2. Consumption-Based Emission Accounting Methods This topic explores methodologies used to calculate emissions associated with consumption patterns, including multi-regional input-output models and lifecycle assessment techniques. It emphasizes how these methods capture hidden emissions in global supply chains, offering a more comprehensive understanding of environmental impact compared to traditional production-based accounting. 3. Emission Pathway Modeling and...

  1. Introduction Efficient operation of multi-reservoir systems plays a crucial role in water resource sustainability, flood mitigation, and energy production. Traditional optimization methods often struggle with complex constraints and dynamic environmental conditions. This research introduces a Dynamic Feasible Region Genetic Algorithm (DFR-GA), which enhances optimization performance by adapting feasible solution spaces during iterations. The approach allows better handling of nonlinear constraints and improves decision-making in reservoir operations, making it highly relevant for modern water management systems facing climate variability and increasing demand. 2. Genetic Algorithm Framework for Reservoir Optimization This topic explores the application of genetic algorithms in solving complex reservoir operation problems. It highlights how evolutionary processes such as selection, crossover, and mutation contribute to finding near-optimal solutions in large search spaces. T...

  1. Introduction Afghanistan is increasingly vulnerable to climate change impacts, including rising temperatures, irregular precipitation, and extreme weather events. These environmental shifts pose significant challenges to energy security, agricultural productivity, and economic stability. This research introduces an integrated assessment of climate trends and future scenarios, focusing on greenhouse gas emissions, renewable energy potential, and sustainable development pathways. By examining climate projections alongside energy and policy frameworks, the study highlights the urgent need for adaptive strategies that align environmental sustainability with socio-economic growth. 2. Climate Trends and Variability Analysis This topic explores historical and recent climate data to identify trends in temperature, rainfall, and extreme weather events across Afghanistan. The analysis highlights increasing climate variability and its impacts on natural resources, emphasizing the impo...

  1. Introduction Hybrid smart micro energy communities represent a transformative approach to decentralized energy systems, combining renewable energy sources, storage technologies, and intelligent control mechanisms. This research introduces a decision-oriented modeling framework that enables efficient planning and operation of such systems. By integrating multiple energy vectors and optimizing resource allocation, these communities can improve energy resilience, reduce carbon emissions, and support sustainable development goals while addressing the increasing demand for clean and reliable energy solutions. 2. Decision-Oriented Modeling Frameworks This topic explores advanced decision-making models used to design and manage hybrid micro energy communities. Techniques such as multi-criteria decision analysis, optimization algorithms, and simulation-based approaches are employed to evaluate system performance, cost-effectiveness, and environmental sustainability. These framework...

1. Introduction The rapid expansion of the digital economy has transformed global trade dynamics, making the integration of digital trade rules into regional agreements increasingly important. ASEAN Free Trade Agreements (FTAs) are evolving to incorporate provisions that address e-commerce, data governance, and digital services. This research introduces the concept of embedding digital trade frameworks into ASEAN FTAs to enhance regional economic integration, improve trade efficiency, and ensure competitiveness in the global digital marketplace. 2. Digital Trade Provisions in Modern FTAs This topic explores the evolution of digital trade provisions in contemporary trade agreements, focusing on how ASEAN countries are incorporating rules related to e-commerce, electronic transactions, and digital services. It highlights the need for standardized frameworks that facilitate seamless digital trade while protecting national interests. 3. Cross-Border Data Flow and Regulatory Challenges ...