Results 131 to 140 of about 11,503,776 (284)

Exploring the Drivers of Ecological Sustainability: Insights From the World's Top SDGs Performers

Sustainable Development, EarlyView.
ABSTRACT This article investigates the impact of climate technologies, financial inclusion, renewable energy, and economic growth on the environmental sustainability of the five world's top the Sustainable Development Goals (SDGs) performers. Utilizing a newly compiled panel dataset, the analysis employs the load capacity factor as a proxy for ...
Abdullah Emre Caglar, Ismail Demirdag, Qasim Raza Syed, Mehmet Akif Destek   +3 more
wiley   +1 more source

A CFD study on the interplay of torsion and vortex guidance by the mitral valve on the left ventricular wash-out making use of overset meshes (Chimera technique). [PDF]

Front Med Technol, 2022
Canè F, Delcour L, Luigi Redaelli AC, Segers P, Degroote J.   +4 more
europepmc   +1 more source

Managing the SDG‐Aligned Energy Transition in OECD Countries: How Do Economic Growth, Income Inequality, and Environmental Protection Expenditures Impact Energy Transition?

Sustainable Development, EarlyView.
ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem, Erick Okoth, Yasin Sogut, Nazli Demirtas   +3 more
wiley   +1 more source

Advancing SDG7–SDG13 Through Technology Innovation: The Environmental Impacts of Technological Advancements in Green, Fossil, and Energy Efficiency in Türkiye

Sustainable Development, EarlyView.
ABSTRACT Identifying the principal drivers of carbon emissions is vital for designing effective mitigation strategies and supporting long‐term environmental sustainability. Although previous studies have explored multiple determinants of emissions, limited attention has been paid to the most influential energy–technology channels within trade‐dependent
Gang Kou, Mustafa Naimoğlu, Serhat Yüksel, Hasan Dinçer   +3 more
wiley   +1 more source

On the Response of a Herschel-Bulkley Fluid Due to a Moving Plate. [PDF]

Polymers (Basel), 2022
Konan NA, Rosenbaum E, Massoudi M.
europepmc   +1 more source

Pathways to Sustainable Energy: How Environmental Regulations and Financial Development Moderate the Impact of Solar Innovations

Sustainable Development, EarlyView.
ABSTRACT This study aims to analyze the disaggregated effects of solar photovoltaic (PV), solar thermal (ST), and solar photovoltaic‐thermal hybrid (PV/T) technologies on solar energy capacity in the G‐7 countries, which are among the leading users of solar energy technologies, over the period 2000–2020, by employing panel data estimators (CCEMG and ...
Oguzhan Bozatli, Tunahan Degirmenci, Seref Can Serin, Mucahit Aydin   +3 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Origin and evolution of immersed boundary methods in computational fluid dynamics. [PDF]

Phys Rev Fluids, 2023
Mittal R, Seo JH.
europepmc   +1 more source

Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques

steel research international, EarlyView.
Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid, Ismael Matino, Silvia Cateni, Teresa Annunziata Branca, Lorenzo Vannini   +7 more
wiley   +1 more source

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun, Bojie Fan, Bo Yin, Jie Nie, Anan Liu   +4 more
wiley   +1 more source