Results 11 to 20 of about 1,626,337 (315)

Development of Thermochemical Heat Storage Based on CaO/CaCO3 Cycles: A Review

open access: yesEnergies, 2021
Due to the inconsistency and intermittence of solar energy, concentrated solar power (CSP) cannot stably transmit energy to the grid. Heat storage can maximize the availability of CSP plants.
Ying Yang   +4 more
doaj   +1 more source

Reliability Modeling and Evaluation of Urban Multi-Energy Systems: A Review of the State of the Art and Future Challenges

open access: yesIEEE Access, 2020
Urban multi-energy systems (UMESs) are integrated energy systems (IESs) which can alleviate the current energy crisis, improve energy utilization and realize multi-energy complementarity of modern.
Jun He   +5 more
doaj   +1 more source

Shallow and deep feature fusion for digital audio tampering detection

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
Digital audio tampering detection can be used to verify the authenticity of digital audio. However, most current methods use standard electronic network frequency (ENF) databases for visual comparison analysis of ENF continuity of digital audio or ...
Zhifeng Wang   +5 more
doaj   +1 more source

Numerical simulation on influence of noise barrier on thermal performance for natural draft wet cooling towers

open access: yesCase Studies in Thermal Engineering, 2021
The noise barrier installed around the natural draft wet cooling tower can reduce the operating noise, but it will lead to an adverse effect on the thermal performance of the tower.
Zhirui Zheng   +5 more
doaj   +1 more source

Spatial and temporal learning representation for end-to-end recording device identification

open access: yesEURASIP Journal on Advances in Signal Processing, 2021
Deep learning techniques have achieved specific results in recording device source identification. The recording device source features include spatial information and certain temporal information.
Chunyan Zeng   +5 more
doaj   +1 more source

Comparative analysis of the efficiency of various energy storages

open access: yesModeling, Control and Information Technologies, 2023
The use of renewable energy creates the need to solve the problem of its discontinuity. Previous experience has shown that energy storage devices are best suited for this. They can be attributed to new technologies, since the operation of some energy storage devices is based on the latest achievements of modern science and technology.
Bakir Zulfugarov   +2 more
openaire   +2 more sources

Crosswind influence on heat and mass transfer performance for wet cooling tower equipped with an axial fan

open access: yesCase Studies in Thermal Engineering, 2021
To enhance the thermal performance and relieve the impact of crosswind on the super large-scale natural draft wet cooling towers (SLWCTs), based on our previous research, through the three-dimensional numerical simulation of the SLWCT equipped with an ...
Deying Zhang   +4 more
doaj   +1 more source

Cooling performance between natural draft cooling system and pre-spray cooling system of photovoltaic modules

open access: yesXi'an Gongcheng Daxue xuebao, 2022
In order to solve the problem of low photoelectric conversion efficiency caused by high operating temperature of photovoltaic modules, a pre-spray cooling system for photovoltaic modules driven by buoyancy was proposed.
HE Suoying   +5 more
doaj   +1 more source

Giant energy-storage density with ultrahigh efficiency in lead-free relaxors via high-entropy design

open access: yesNature Communications, 2022
Next-generation advanced high/pulsed power capacitors rely heavily on dielectric ceramics with high energy storage performance. However, thus far, the huge challenge of realizing ultrahigh recoverable energy storage density (Wrec) accompanied by ...
Liang Chen   +5 more
semanticscholar   +1 more source

A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton [PDF]

open access: yesPeerJ Computer Science
Locomotion mode recognition in humans is fundamental for flexible control in wearable-powered exoskeleton robots. This article proposes a hybrid model that combines a dense convolutional network (DenseNet) and long short-term memory (LSTM) with a channel
Jing Tang   +5 more
doaj   +2 more sources

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