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Prediction of Energy Storage Performance in Polymer …
First, two 3D stochastic breakdown models of the polymer-based composites with the v and ε r of the fixed fillers were established, only considering the d change, the PI/SiO 2 (5.5 vol%) composites with 10 and 60 nm, as shown in Figure 2a,b, respectively can be seen that at the same v and ε r, the breakdown paths of the …
Prediction and Analysis of a Field Experiment on a Multilayered …
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 ...
Prediction model and energy dissipation analysis of Taylor bubble …
Through an analysis of energy conservation, a prediction model of the rise speed of the bubble was established. In addition, a comparison of the models revealed that the model in this study could predict the rise velocity of bubbles in the fluid at different yield stresses. ... With an increase in the bubble volume, the velocity field in the ...
Frontiers | Short-term wind power prediction and uncertainty analysis ...
Section 2 of this paper will introduce the principles and structures of the TCN model, the EM-based mixture Gaussian distribution model, and the confidence interval calculation model. Section 3 will present example analyses of the predictions for a wind farm using different models and time periods, along with uncertainty analysis and a …
A Review of Research on Building Energy Consumption Prediction …
2 · Building energy consumption prediction models are powerful tools for optimizing energy management. Among various methods, artificial neural networks (ANNs) have become increasingly popular. This paper reviews studies since 2015 on using ANNs to predict building energy use and demand, focusing on the characteristics of different ANN …
Land | Free Full-Text | A Coupled InVEST-PLUS Model for the
In investigating the spatiotemporal patterns and spatial attributes of carbon storage across terrestrial ecosystems, there is a significant focus on improving regional carbon sequestration capabilities. Such endeavors are crucial for balancing land development with ecological preservation and promoting sustainable, low-carbon urban …
Capacities prediction and correlation analysis for lithium-ion …
1 Key words: Lithium-ion battery; battery-based energy storage system; capacity predictions; battery 2 parameter analysis; data-driven model. 3 1. Introduction 4 Global challenges including ...
Predicting potential knowledge convergence of solar …
The innovation and development of emerging technology mostly depend on the way of knowledge convergence defined as the blurring of previously distinct domain-specific knowledge. This paper aims …
Modeling, prediction and analysis of new energy vehicle sales in …
1. Introduction1.1. Research background. New energy vehicles (NEVs) refer to vehicles that are powered entirely or mainly by new energy sources. NEVs mainly include hybrid electric vehicles (HEVs), battery electric vehicle (BEVs, including solar vehicles), fuel cell electric vehicles (FCEVs) and vehicles using high-efficiency energy storage devices …
Big data and artificial intelligence application in energy field: a ...
This paper uses bibliometrics to characterize the knowledge systems of big data, artificial intelligence (AI), and energy based on the Science Citation Index Extension (SCI-E) and Social Science Citation Index (SSCI) of the Web of Science from 2001 to 2020. Results show that China is the country with the highest number of …
Compressed-air energy storage: Pittsfield aquifer field test
A major objective of this investigation is the geologic characterization, deliverability prediction, and operations analysis of the Pittsfield CAES aquifer experiment, conducted in Pike County, Illinois during 1981--85 under EPRI/DOE sponsorship. ... Compressed-air energy storage field test energy storage compressed air energy storage ...
AI-Empowered Methods for Smart Energy Consumption: A …
AI-Empowered Methods for Smart Energy Consumption
Prediction of geothermal temperature field by multi-attribute …
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 …
The energy storage mathematical models for simulation and …
The article is an overview and can help in choosing a mathematical model of energy storage system to solve the necessary tasks in the mathematical modeling of …
Simplified Discrete-Time Modeling for Convenient Stability Prediction ...
This article proposes a simplified discrete-time modeling approach capable of describing the global dynamic characteristics and predicting the stability conveniently of the dual active bridge (DAB) converter enabled energy storage system within a dc microgrid. The proposed technique utilizes both the matrix exponential approximation and the …
Thermal Energy Storage Air-conditioning Demand Response Control Using ...
An ENN model is developed for a thermal energy storage air-conditioning system.. Both load forecasting and TES prediction is established. • A demand response is implemented by field test based on the ENN model.. Maximum energy reduction without comprising occupants comfort level is achieved.
Volume-of-fluid-based method for three-dimensional shape prediction ...
Construction prediction is the key for the shape control of energy storage salt caverns, which benefits with the storage capacity and long-term operational safety. However, the conventional grid discretization methods using elastic grid could not accurately tracking the three-dimensional boundary movements of salt cavern.
The energy storage mathematical models for simulation and …
Simplifications of ESS mathematical models are performed both for the energy storage itself and for the interface of energy storage with the grid, i.e. DC-DC …
Shape prediction and parameter optimization of single-well …
The single-well retreating horizontal (SWRH) salt rock energy storage has the advantages of high construction efficiency and low cost. However, there needs to be a unified standard for key parameters such as water injection rate, direction and retreat distance in the SWRH leaching process. To solve such a problem, a multi-field coupling …
Stacked ensemble learning approach for PCM-based double-pipe …
Stacked ensemble learning approach for PCM-based double-pipe latent heat thermal energy storage prediction towards flexible building energy. ... It is important to note that a constant volume of PCM (0.017 m 3) was considered in this study, whose total storing capacity is 0.94 kWh and average charging/discharging rate is 0.22 kW/0.24 kW. …
Machine-learning-based capacity prediction and construction …
1. Introduction. Global energy consumption has nearly doubled in the last three decades, increasing the need for underground energy storage [1].Salt caverns are widely used for underground storage of energy materials [2], e.g. oil, natural gas, hydrogen or compressed air, since the host rock has very good confinement and mechanical …
Prediction and Analysis of a Field Experiment on a
Subsequent comparison with the experimental energy recov- ery factors, production temperatures, and in situ temperature distributions showed that our predictions agree …
Impact of data usage for forecasting on performance of …
in building energy systems can enable substantial reductions in operational emissions [3, 4, 5]. Additionally, smart energy storage systems can reduce the impact of building energy usage on the electrical grid by allowing energy flexibility through demand-side management and demand response [6], which is of particular
Integrated data mining for prediction of specific capacitance of …
Porous carbon materials have gained wide attention owing to their remarkable electrical conductivity and large surface area. Predicting the specific capacitance based on these materials is a crucial step towards designing and manufacturing flexible energy storage devices. To achieve this objective, we employed integrated data mining …
The underground performance analysis of compressed air energy storage ...
Based on the available conditions and principal criteria for site selection [17], the final field test was performed in Dezhou, Shandong Province, China.A schematic of the underground conditions of the test is shown in Fig. 1.An existing deep wellbore with a maximum depth of 1502 m, which was originally drilled for geothermal exploitation, was …