Results 171 to 180 of about 25,118 (262)

Reusing depleted oil and gas wells for geothermal energy: Feasibility, challenges, and a decision‐making framework for sustainable conversion

Deep Underground Science and Engineering, EarlyView.
The graphical abstract presents a structured decision‐support framework for assessing the feasibility of converting depleted oil and gas wells into geothermal energy systems. The left panel illustrates a comprehensive, multi‐stage decision‐making framework progressing from prefeasibility screening and technical–economic analysis to policy alignment ...
Karolina Bieryt, Yu Pan, Heinz Konietzky, Fei Wang   +3 more
wiley   +1 more source

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

Numerical Analysis and Optimization of a Continuous‐Flow pH‐TRC for Steady‐State Low‐Grade Waste Heat Recovery

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A steady‐state numerical model is established for a continuous‐flow pH‐TRC for low‐grade waste heat recovery. Based on carbonate and bicarbonate electrolytes, the influences of operating conditions and electrode structure on pH‐driven power generation are clarified.
Jinpeng Hu, Haotong Cai, Hao Yu, Runchen Zhao, Zhongxin Chen, Meng Ni, Shuaibin Wan, Dongxu Ji   +7 more
wiley   +1 more source

The Power to Care for Oneself: Power Increases Self‐Compassion

European Journal of Social Psychology, EarlyView.
ABSTRACT Sense of power and self‐compassion both impact important intrapsychic and interpersonal outcomes. However, how powerholders treat themselves when experiencing failure or personal setbacks is unclear. We propose that powerholders are more apt than their lower‐power counterparts to exhibit self‐compassion when faced with difficulties. Across six
Robert Körner, Astrid Schütz, Lars‐Eric Petersen, Marine Groulon, Serena Chen   +4 more
wiley   +1 more source

A prospective natural history study protocol for clinical trial readiness in synaptic disorders

Epilepsia, EarlyView.
Abstract Objective STXBP1‐related disorder (STXBP1‐RD) and SYNGAP1‐related disorder (SYNGAP1‐RD) are two common genetic synaptopathies that are associated with epilepsy, developmental delay, intellectual developmental disorder, and behavioral problems.
Jillian L. McKee, Sarah M. Ruggiero, Kristin Cunningham, JoeyLynn Coyne, Ian McSalley, Michael C. Kaufman, Bintou Bane, Torrey Chisari, Jonathan Toib, Carlyn Glatts, Sarah Tefft, Julie M. Orlando, Viveknarayanan Padmanabhan, Alexander K. Gonzalez, Alicia Harrison, Charlene Woo, Stephanie A. Zbikowski, Rency Dhaduk, Johanna Mercurio, Macie McCarthy, Jan H. Magielski, Zachary Grinspan, Megan Abbott, Juliet Knowles, Hsiao‐Tuan Chao, Katherine Xiong, Elizabeth Berry‐Kravis, Sepideh Tabarestani, J. Michael Graglia, Kathryn Helde, Virginie McNamar, Charlene Son Rigby, James Goss, Scott Demarest, Andrea Miele, Benjamin Prosser, Michael J. Boland, Samuel R. Pierce, Ingo Helbig   +38 more
wiley   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Influence of Structural and Environmental Parameters on Solar Air Collector Performance

Energy Science &Engineering, EarlyView.
Increasing air gap depth and mass flow rate significantly enhances the thermal performance of solar air collectors, with optimal performance achieved at an 8.5 cm air gap and 0.01318 kg/s mass flow rate. Air gap depth is identified as the dominant factor influencing system efficiency.
Quankun Zhu, István Farkas, János Buzas   +2 more
wiley   +1 more source

Minimizing frictional irreversibility in a rough-walled tapered bearing with a nanoparticle-enhanced Sutterby lubricant. [PDF]

Sci Rep
Jazza Y, Hashim, Saqib M, Mousa S.
europepmc   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source