Greenenergy Awards

  1. Introduction Potassium mining operations generate complex wastewater streams containing high salinity, suspended solids, and chemical residues that require advanced treatment before discharge or reuse. This research introduces a Life Cycle Assessment (LCA) framework to evaluate the environmental performance of a pilot wastewater treatment system. By quantifying impacts across the entire process chain—from raw material input to treated effluent discharge—the study provides a comprehensive understanding of environmental burdens and identifies opportunities for sustainable process improvement. 2. LCA Methodology and Impact Categories This topic explains the structured LCA approach, including goal definition, system boundaries, inventory analysis, impact assessment, and interpretation. It evaluates environmental indicators such as global warming potential, eutrophication, human toxicity, and fossil energy demand to provide a multi-dimensional sustainability assessment of the wa...

  1. Introduction The Research Excellence Award represents a benchmark of scholarly distinction, recognizing individuals who contribute significantly to advancing knowledge and innovation. In a rapidly evolving global research ecosystem, excellence is defined not only by publication output but also by impact, collaboration, and transformative discoveries. This award fosters a culture of intellectual rigor, interdisciplinary engagement, and evidence-based progress that shapes the future of science and society. 2. Measuring Research Impact and Scholarly Contribution Research impact extends beyond publication counts to include citation influence, collaborative networks, and societal relevance. This topic explores quantitative and qualitative metrics used to evaluate scholarly performance, emphasizing responsible research assessment and knowledge dissemination across global academic platforms. 3. The Role of Peer-Reviewed Publications in Advancing Knowledge Peer-reviewed research ...

1. Introduction Decentralized renewable energy systems are transforming the global energy landscape, yet surplus generation from solar mini-grids often remains underutilized. Integrating green finance mechanisms and vertically coordinated economic structures can unlock this excess capacity to produce low-carbon hydrogen and support electric mobility ecosystems. This research introduces a systemic framework that connects renewable surplus utilization, hydrogen value chain development, and sustainable transport electrification to enhance carbon mitigation and economic resilience. 2. Solar Mini-Grid Surplus Optimization and Energy Storage This topic investigates technical strategies for capturing and optimizing surplus electricity generated by solar mini-grids. It evaluates storage technologies, demand-side management, and power-to-hydrogen conversion systems to ensure efficient utilization of excess renewable energy while minimizing curtailment losses. 3. Green Finance Mechanisms for Hyd...

  1. Introduction Fluoride contamination in groundwater poses significant risks to human health, including dental and skeletal fluorosis. Developing cost-effective and environmentally sustainable removal techniques is therefore essential. This research introduces the application of Chara vulgaris biomass as a biosorbent for fluoride ion adsorption. By integrating kinetic and thermodynamic evaluations, the study provides a scientific foundation for understanding adsorption mechanisms, efficiency, and feasibility under different environmental conditions. 2. Characterization of Chara vulgaris Biomass as a Biosorbent This topic focuses on the physicochemical properties of Chara vulgaris biomass that influence fluoride adsorption performance. Surface morphology, functional groups, porosity, and active binding sites are examined using analytical techniques. The findings explain how natural biomass structure enhances adsorption capacity and supports its application in low-cost water...

  1. Introduction The transition toward renewable energy systems requires sustainable and resilient biomass supply chain networks capable of operating under uncertainty and disruption risks. This research introduces an integrated multi-period, multi-objective mathematical modeling framework that simultaneously optimizes economic, environmental, and social objectives. By incorporating scenario-based uncertainty analysis, the model enhances decision-making robustness while addressing long-term sustainability challenges in biomass energy infrastructure planning. 2. Multi-Objective Mathematical Modeling Framework This topic explores the development of a comprehensive mathematical model that optimizes cost efficiency, carbon emissions, and social welfare simultaneously. Using multi-objective programming techniques, the study generates Pareto-optimal solutions that help decision-makers balance trade-offs between profitability, sustainability, and community development goals. 3. Scena...

  1. Introduction Forest biomass estimation plays a crucial role in understanding carbon sequestration potential, ecosystem productivity, and climate regulation. Nepal’s diverse topography and ecological gradients require spatially explicit modeling approaches to capture regional biomass variability. This research introduces a data-driven bioregionalisation framework combined with machine learning algorithms to enhance prediction accuracy across forest types. By integrating ecological zoning with predictive modeling, the study supports national climate commitments and sustainable forest governance strategies. 2. Data-Driven Bioregionalisation Framework This topic explores the methodological foundation of dividing Nepal into ecologically homogeneous bioregions using environmental variables such as elevation, precipitation, soil type, and vegetation indices. Bioregionalisation improves predictive consistency by reducing spatial heterogeneity and strengthening model generalization ...