Results 171 to 180 of about 8,278 (266)

Numerical and experimental validation of Taguchi-optimized star-core fin inserts for enhanced thermal hydraulic performance factor. [PDF]

Sci Rep
Al-Saadi ZA, Ibrahim A, Dol SS, Radhi FA, Azeez HL, Al-Aasam AB, Ludin NA, Fazlizan A.   +7 more
europepmc   +1 more source

Numerical Simulation and Analysis of Heat Transfer Characteristics in Gradient‐Porosity Foam Copper Composite Phase Change Materials

Energy Science &Engineering, EarlyView.
This study investigates the heat transfer characteristics of copper‐foam composite phase change materials with different gradient porosities. Three models with uniform porosity and three models with gradient porosities are developed to examine their effects on temperature distribution and melting behavior. ABSTRACT Phase change materials (PCMs) exhibit
Wei Yang, Chenchen Bao, Guofeng Zhou, Yuxi Qiao, Ruiling Yu, Manfeng Li, Linlin Zhang   +6 more
wiley   +1 more source

Optimization of air supply mode of vehicle air conditioning based on digital thermal manikin. [PDF]

PLoS One
Xu H, Wang R, Ma F, Xuan J, Feng C.
europepmc   +1 more source

Modeling and Experimental Study of a Dual‐Receiver Parabolic Solar Concentrator for Direct Electricity Generation and Thermal Storage for Isolated Sites

Energy Science &Engineering, EarlyView.
Approximately 64% of the population in sub‐Saharan Africa lacks access to electricity, despite the region's high solar potential, making concentrated solar power a promising solution for decentralized and sustainable energy supply. This study presents the design, construction, and testing of a parabolic solar concentrator with two focal‐point receivers
Sani Dan Nomao Harouna, Nabil Alkassoum, Noma Talibi Soumaila, Ali Aboubacar, Hamza Abarchi Halarou, Boubou Bagre, Makinta Boukar   +6 more
wiley   +1 more source

Parameter identification of condenser heat transfer model based on improved flower pollination algorithm. [PDF]

Sci Rep
Wang G, Zhang M, Huang J, Liu X, Wang Q, Shen D.   +5 more
europepmc   +1 more source

Binary Nanoparticle Combinations in Acetone‐Based Working Fluids for Thermal Performance Enhancement of Evacuated Tube Solar Water Collectors

Energy Science &Engineering, EarlyView.
Illustration of the work. ABSTRACT This experimental investigation evaluates the thermal performance enhancement of evacuated tube solar water collectors through the implementation of binary nanofluid formulations using acetone as the base fluid. Three metal oxide nanoparticles, including magnesium oxide (MgO), copper oxide (CuO), and titanium dioxide (
Ali Basem, Zukhra Atamuratova, Sardor Sabirov, Otabek Mukhitdinov, Elyor Saitov, Fohagui Fodoup Cyrille Vinceslas   +5 more
wiley   +1 more source

Enhancing heat and mass transfer in hybrid nanofluid with gyrotactic microbes and local thermal non equlibrium effects using artificial neural network. [PDF]

Discov Nano
Aoudia M, Benabdallah F, Khan MS, Khan I, Abbas M.   +4 more
europepmc   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source

Frictional Heating During Sliding of Two Layers Made of Different Materials. [PDF]

Materials (Basel)
Topczewska K, Yevtushenko A, Zamojski P.
europepmc   +1 more source

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

Energy Science &Engineering, EarlyView.
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen, Ruifan Zheng, Shengyuan Zhong, Lei Gu, Dongfang Yang, Jun Zhao   +5 more
wiley   +1 more source