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Design and performance analysis of deep peak shaving scheme for thermal power units based on high-temperature molten salt heat storage …
Reducing carbon footprints and enhancing operational flexibility are crucial for the future development of coal-fired power plants (CFPPs). This necessitates the deployment of post-combustion carbon capture (PCC) and …
Thermal performance of an aquifer thermal energy storage …
There are three main types of UTES systems: ATES (aquifer thermal energy storage), CTES (cavern thermal energy storage) and BTES (borehole thermal energy storage). ATES system has lower site selection requirements than CTES system and is more suitable for large-scale systems than BTES system, therefore it has higher …
Design of spatial variability in thermal energy storage modules for enhanced power …
Peak load shifting requires strategies to efficiently and cost effectively absorb and discharge various forms of energy, including thermal energy. The energy storage rate of a thermal energy storage (TES) module containing phase change materials (PCMs) depends on the module geometry and dimensions, the internal distribution and orientation of PCMs and …
Machine learning in energy storage material discovery and performance prediction …
Over the past two decades, ML has been increasingly used in materials discovery and performance prediction. As shown in Fig. 2, searching for machine learning and energy storage materials, plus discovery or prediction as keywords, we can see that the number of published articles has been increasing year by year, which indicates that …
Physics-reserved spatiotemporal modeling of battery thermal …
Extensive experiments showed that the physics-reserved spatiotemporal modeling method outperforms a widely used data-driven spatiotemporal modeling …
Design analysis of a particle-based thermal energy storage system for concentrating solar power or grid energy storage …
Fig. 1 shows a specific diagram that integrates a sCO 2 power system with CSP as described in Generation 3 CSP roadmap [12].A particle TES system can support other thermal-power cycles including a BCPC to …
An overview of thermal energy storage systems
The study investigates using edible oils (ostrich, mutton, beef, coconut) as natural phase change materials for solar energy absorption and storage. Exposed to 900 W/m 2 direct radiation by a solar simulator, these materials harness captured energy at a specific depth to generate electricity through a thermoelectric device. ...
Application of artificial intelligence for prediction, optimization, and control of thermal energy storage …
Artificial intelligence (AI) progressively plays a pivotal role in designing and optimizing thermal energy storage systems (TESS ... 1.628, and 2.329, respectively, with a regression coefficient of 0.9997. The prediction and analysis of power generation in …
Spatial analysis in ArcGIS Pro—ArcGIS Pro
Spatial analysis in ArcGIS Pro—ArcGIS Pro | Documentation
Research on short-term power prediction and energy storage capacity allocation of wind and photovoltaic power …
In the power system, renewable energy resources such as wind power and PV power has the characteristics of fluctuation and instability in its output due to the influence of natural conditions. So as to improve the absorption of wind and PV power generation, it''s required to equip the electrical power systems with energy storage units, which can suppress …
Design of spatial variability in thermal energy storage modules for enhanced power …
Request PDF | Design of spatial variability in thermal energy storage modules for enhanced power density | Peak load shifting requires strategies to efficiently and cost effectively absorb and ...
Application of artificial intelligence for prediction, optimization, and control of thermal energy storage …
The thermal energy storage systems (TESS) could contribute effectively to the proper managing of thermal energy and preventing its dissipation. They also provide potential energy conservation in all fields of thermal energy resources [48], [49], [50], [51].
Spatial and Temporal Analysis of Sodium-Ion Batteries
applications such as large-scale electrical energy storage systems. The energy density, cycling life, and rate performance of SIBs are fundamentally dependent on dynamic …
Energy storage in the geological subsurface: dimensioning, risk analysis and spatial …
New techniques and methods for energy storage are required for the transition to a renewable power supply, termed "Energiewende" in Germany. Energy storage in the geological ...
Spatial energy density of large-scale electricity generation from power …
Spatial power density evaluation is a topic of relevance to the field of life cycle assessment (LCA). In power generation LCA, not only is the power plant itself considered but also the land used ...
Physics-reserved spatiotemporal modeling of battery thermal process: Temperature prediction…
3. Physics-reserved spatiotemporal modeling3.1. Framework As shown in Fig. 1, the physics-reserved spatiotemporal modeling method constructs a composite network to model the battery thermal process.Except for the spatial coordinate (i.e., x) and time variable (i.e., t), the composite network adopts the battery current (i.e., I) and …
The multi-objective capacity optimization of wind-photovoltaic-thermal energy storage hybrid power …
A wind-photovoltaic-thermal energy storage hybrid system with an electric heater is proposed. • The proposed system provides a new way to reform conventional small-scale thermal power plant. • Probability of exceeding is introduced to modify the model and
Optimization and spatial pattern of large-scale aquifer thermal energy storage …
Seasonal thermal energy storage can provide flexibility to smart energy systems and are characterised ... The hydrogeological and climatic criteria are combined within a spatial analysis revealing ...
Prediction and analysis of a field experiment on a multilayered aquifer thermal energy storage …
The results of the first two cycles of the seasonal aquifer thermal energy storage field experiment conducted by Auburn University near Mobile, Alabama in 1981–1982 (injection temperatures 59 C and 82 C) were predicted by numerical modeling before their ...
Numerical simulation and prediction of spatial wind field under …
The above validation shows that the spatial wind field prediction model has a high accuracy. ... Variance analysis of wind characteristics for energy conversion J. Appl. Meteorol., 16 (11) (1977), pp. 1149-1157 View in Scopus Google Scholar Damousis et …
Integrated monitoring and prediction of thermal discharge from nuclear power …
Global nuclear power is surging ahead in its quest for global carbon neutrality, eyeing an anticipated installed capacity of 436 GW for coastal nuclear power plants by 2040. As these plants operate, they emit substantial amounts of warm water into the ocean, known as thermal discharge, to regulate the temperature of their nuclear …
A spatiotemporal prediction approach for a 3D thermal field from …
Our model characterizes the spatiotemporal dynamics of the local thermal field variations by considering the spatiotemporal correlation of the fields and …
Spatial and Temporal Multiscale Analysis on Energy Storage in …
Spatial and temporal characteristic analysis of energy storage in boiler and heat supply net show that, capacity of energy storage in heat supply net is huge; while its responding …
Quantitative spatial analysis of thermal infrared radiation temperature fields …
Considering the spatial resolution of the thermal infrared image, the infrared thermal imager was placed perpendicular to the sample to observe the TIR changes at a distance of 60 cm. The field of view was approximately 22.4 × 16.8 cm 2 with the 0.5 mm/pixel spatial resolution on the loading sample surface. ...
Optimal sizing of energy storage considering the spatial-temporal …
Energy storage is considered as an effective approach to deal with the power deviation that caused by the stochastic wind power forecast error. Because of the …
Prediction of geothermal temperature field by multi-attribute neural network | Geothermal Energy …
Hot dry rock (HDR) resources are gaining increasing attention as a significant renewable resource due to their low carbon footprint and stable nature. When assessing the potential of a conventional geothermal resource, a temperature field distribution is a crucial factor. However, the available geostatistical and numerical …
Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods …
Artificial intelligence (AI) is vital for intelligent thermal energy storage (TES). • AI applications in modelling, design and control of the TES are summarized. • A general strategy of the completely AI-based design and control of TES is presented. • Research on the AI ...
Energy storage in the geological subsurface: dimensioning, risk analysis and spatial …
Abstract New techniques and methods for energy storage are required for the transition to a renewable power supply, termed ''''Energiewende'''' in Germany. Energy storage in the geological subsurface provides large potential capacities to bridge temporal gaps
3D spatial reconstruction of thermal characteristics in directed energy deposition through optical thermal …
The ThermaViz ® optics and the laser optics are aligned on a common axis thus creating a moving reference frame that is affixed to the deposition head. Custom interfacing hardware and software between an Optomec, Inc. LENS ® MR-7 system and the ThermaViz ® system is developed and implemented to enable capture of the …
The Role of Utilizing Artificial Intelligence and Renewable Energy …
2 · In fact, the choice of spatial-temporal wind power data is crucial for the accuracy of wind power prediction. We have carefully selected our dataset based on factors such as data quality, spatial coverage, temporal resolution, and availability. We believe that this i.
Analysis of Solar-Thermal Power Plants With Thermal Energy Storage and Solar-Hybrid Operation Strategy | J. Sol. Energy …
Selected solar-hybrid power plants for operation in base-load as well as midload were analyzed regarding supply security (dispatchable power due to hybridization with fossil fuel) and low CO2 emissions (due to integration of thermal energy storage). The power plants were modeled with different sizes of solar fields and different storage …
Design of spatial variability in thermal energy storage modules for enhanced power …
Most related items These are the items that most often cite the same works as this one and are cited by the same works as this one. Xu, Yang & Ren, Qinlong & Zheng, Zhang-Jing & He, Ya-Ling, 2017. "Evaluation and optimization of melting performance for a latent heat thermal energy storage unit partially filled with porous media," Applied Energy, Elsevier, …