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A systematic review of plastic recycling: technology, environmental impact and economic evaluation.
Waste Manag Res
January 2025
Bohai Rim Energy Research Institute, Northeast Petroleum University, Daqing, Heilongjiang, China.
In this systematic review, advancements in plastic recycling technologies, including mechanical, thermolysis, chemical and biological methods, are examined. Comparisons among recycling technologies have identified current research trends, including a focus on pretreatment technologies for waste materials and the development of new organic chemistry or biological techniques that enable recycling with minimal energy consumption. Existing environmental and economic studies are also compared.
View Article and Find Full Text PDFPrevalence and associated factors of healthy aging among community-dwelling older adults in Lishui city, China: a cross-sectional study.
BMC Public Health
January 2025
Department of Nursing, School of Medicine, Lishui University, No. 1 Xueyuan Road, Lishui City, Zhejiang Province, 323000, China.
Background: Identifying the level of healthy aging and exploring its associated factors are prerequisites in the planning of effective measures among the elderly population. Thus, this study aimed to investigate the prevalence of healthy aging and determine its associated factors among community-dwelling older adults from mountain areas in Lishui, China.
Methods: A multicenter cross-sectional survey was conducted.
Electrochemical approaches for CO point source, direct air, and seawater capture: identifying opportunities and synergies.
Environ Sci Pollut Res Int
January 2025
Institute for Integrated Energy Systems at University of Victoria (IESVic), Department of Mechanical Engineering, University of Victoria, Victoria, BC, V8P 5C2, Canada.
The world is increasingly facing the direct effects of climate change triggering warnings of a crisis for the healthy existence of humankind. The dominant driver of the climate emergency is the historical and continued accumulation of atmospheric CO altering net radiative forcing on the planet. To address this global issue, understanding the core chemistry of CO manipulation in the atmosphere and proximally in the oceans is crucial, to offer a direct partial solution for emissions handling through negative emissions technologies.
View Article and Find Full Text PDFComprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach.
Sci Rep
January 2025
Business School, Sichuan University, 610059, Chengdu, China.
The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.
View Article and Find Full Text PDFAdvanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency.
Sci Rep
January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective is to minimize the generation cost and environmental impact of microgrid systems by effectively scheduling distributed energy resources (DERs), including renewable energy sources (RES) such as solar and wind, alongside fossil-fuel-based generators. Four distinct demand response models-exponential, hyperbolic, logarithmic, and critical peak pricing (CPP)-are developed, each reflecting a different price elasticity of demand.
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