Sustainability ensures well-being for people and communities worldwide and helps shape the world's present and future. A global transformation is required by adopting renewable energy sources to achieve sustainability. Sustainability trends have been examined using this study for the period 1992-2018 for G20 countries. The study uses indicators like ecological footprints, natural resources, renewable energy (RE), and non-renewable energy (NRE), along with gross domestic product (GDP) and capital formation. A cross-sectional-ARDL approach has been used to examine short- and long-term relationships. The presence of stationarity property, cross-sectional dependence, panel cointegration, and slope heterogeneity have been confirmed during initial testing. The empirical result confirms that using renewable energy impacts environmental sustainability in the long run and causes a decrease in ecological footprints. On the contrary, non-renewable energy and natural resources contribute to the negative shift in sustainable development. The consistency of results has also been confirmed using robustness checks under the AMG and FMOLS approaches. The study concludes that G20 countries should promote renewable energy to empower the United Nations' agenda for sustainable development.
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http://dx.doi.org/10.1016/j.heliyon.2023.e18882 | DOI Listing |
BMC Oral Health
January 2025
Afrone Network, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
Background: Climate change is a global challenge, caused by increasing greenhouse gas (GHG) emissions. Dental clinical practice contributes to these emissions through patient and staff travel, waste, energy and water consumption and procurement. Carbon footprinting quantifies GHG emissions.
View Article and Find Full Text PDFEnviron 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 PDFSci Rep
January 2025
Faculty of Engineering, Helwan University, Cairo, Egypt.
Frequency regulation in isolated microgrids is challenging due to system uncertainties and varying load demands. This study presents an optimal µ-synthesis robust control strategy that regulates microgrid frequency while enhancing system performance and stability-a proposed fixed-structure approach for selecting performance and robustness weights, informed by subsystem frequency analysis. The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions.
View Article and Find Full Text PDFSci Rep
January 2025
School of International Relations, Yonsei University, Seoul, 03722, Republic of Korea.
Climate change and environmental degradation are critical global challenges, and the G-20 nations play a pivotal role in addressing these issues due to their substantial contributions to global GDP and carbon emissions. Transitioning toward renewable energy sources is imperative for mitigating CO2 emissions and achieving sustainable development. This study investigates the impact of technological innovation, gross domestic product (GDP), renewable energy consumption, economic freedom, and financial advancement on renewable energy use and environmental pollution levels in G-20 countries from 1995 to 2022.
View Article and Find Full Text PDFSci 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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