Vehicle speed prediction can obtain the future driving status of a vehicle in advance, which helps to make better decisions for energy management strategies. We propose a novel deep learning neural network architecture for vehicle speed prediction, called VSNet, by combining convolutional neural network (CNN) and long-short term …
In this paper, a method to predict the subsidence above salt rock storage cavern is proposed. Firstly, using the finite-difference program Flac3D, the volume loss of the cavern caused by creep shrinkage of salt rock was calculated. Secondly, Schober''s model was applied for deformation prediction of storage caverns in salt rock.
Further development of stimulated reservoir volume (SRV)-fracturing technologies for horizontal wells is necessary to address the current situation of decreasing energy production from conventional sources and continuous increases in the proportion of alternative energy sources (unconventional hydrocarbons). To this end, the theoretical …
Rock salt is extensively utilized for large-scale underground energy storage and fluid resource storage. Salt caverns possess the capability to engage in short-term peaking of natural gas or compressed air due to their rapid injection and recovery working mode ( Wang et al., 2019, Khaledi et al., 2016, Zhang et al., 2021 ).
In order to enrich the comprehensive estimation methods for the balance of battery clusters and the aging degree of cells for lithium-ion energy storage power station, this paper proposes a state-of-health estimation and prediction method for the energy storage power station of lithium-ion battery based on information entropy of …
For example, the time series of the output power of the cluster, beginning from the time of startup, is predicted at moment t = 4 using DGM(1,1), as follows: The time series was reversed and then fed into the DGM(1,1) model for prediction, yielding (t 2, Y t2), which has an angle of φ with respect to the x-axis.-axis.
1. Introduction A salt cavern is a large underground open space created by controlled water leaching in a salt formation, whether salt dome or bedded salt [1].Due to the low permeability [2, 3] and damage self-healing capability [4, 5] of the host rock, salt caverns are widely used for energy storage [6], including Strategic Petroleum Reserve (SPR), …
In the sector of energy domain, where advancements in battery technology play a crucial role in both energy storage and energy consumption reduction. It may be possible to accelerate the expansion of the battery industry and the growth of green energy, by applying ML algorithms to improve the effectiveness of battery domain …
This study discusses methods for the sustainability of freezers used in frozen storage methods known as long-term food storage methods. Freezing preserves the quality of food for a long time. However, it is inevitable to use a freezer that uses a large amount of electricity to store food with this method. To maintain the quality of food, lower …
Energy prediction and power supply management are the key roots of energy planning. A large number of prediction models have been used in the recent past. The selection of a prediction model usually based on available data, the objectives of the model network mechanism and energy planning operation.
Salt caverns are an attractive solution to the growing energy demand in view of their large storage capacity, safety of storage operation and long operation time. The designing process of salt caverns is still considered a complex issue despite progress in geotechnical, construction and exploration methods. Finding the optimal shape and …
Finally, If this volume is used for CAES, the cycle pressure is assumed to be 8.5–11.5 MPa, energy storage efficiency of 50 %, the daily effective energy storage is 8.062 × 10 14 J. This study will guide the development of the Zhangshu Salt Mine, provide lessons for similar areas and have a positive impact on the energy transition in Jiangxi.
Salt rock caverns are also widely used in compressed air energy storage [9], radioactive waste storage [10], and CO 2 storage [11]. Unlike the huge and thick salt dome, bedded salt rock deposits in China and Canada have the characteristics of multiple interlayers and frequent interlayer alternation [12], [13] .
1. Introduction An underground salt cavern (USC) is the ideal structure for energy storage because of its high safety [1], high injection and production efficiency [2], sizeable working gas volume, and low cushion gas [3] pared with …
multi-energy method (TNO MEM), and Baker-Strehlow-Tang method (BST) are primarily empirical based. ... Zalosh [127] conducted field blast test on scaled hydrogen storage tank with a confining pressure of 35 MPa subjected to fire burning. PVB ...
To solve such a problem, a multi-field coupling numerical model was established, including flow, concentration, temperature fields, ... Journal of Energy Storage, Volume 44, Part A, 2021, Article 103333 Laura Blanco-Martín, …, Faouzi Hadj-Hassen Show 3 more ...
According to the data obtained in the field, the apparent compressed volume was obtained as 404.774 m 3. The effective volume of the salt cavern by the method proposed in this paper is 58.07×10 4 m 3. (4) The volume shrinkage of the salt cavern due to creep was studied by means of numerical simulation.
Energies 2023, 16, 1469 2 of 22 environmental pollution, and are widely used in various fields. Lithium-ion batteries are used mainly for the digital products in the traditional field and for power batteries and energy storage in the emerging field: (1) In the field of power
The database contains 18 input variables, which are shown in Table 1.And specific capacitance (SC, F/g) is the output variable. The input variable data includes 4 non-quantitative data (Fig. 1), such as precursor material, activation type, reference electrode, and electrolyte, as well as 14 quantized data (Fig. 2), including annealing temperature, …
The underground gas storage is a well-known operation where 680 sites are under operation all around the world as of 2015 [ 61 ], while the experiences on UHS are scares. There are many criteria that are important in a gas storage operation such as geological, engineering, economic, legal, and social issues.
At present, there are more than 90 underground rock salt gas storage locations in the world, with a total working gas volume of more than 28 billion cubic meters and a daily gas extraction volume ...
Over the years He has applied his control expertise to several applications and in particular rehabilitation engineering and energy transmission, storage for electrical systems, and power systems. Professor Holderbaum was involved in the Thames Valley Vision (TVV) project, a £30M low carbon network fund project.
Based on the assumption that the subsidence volume at the ground was proportional to the reduced volume of horizontal cavern, a formula for the reduced volume over time was established. FLAC3D was introduced to simulate the ground subsidence, and the results show that the proposed prediction model agreed well with the simulation …
According to the topological structure of wind-storage-load complementation microgrids, this paper proposes a method for energy coordinative optimization which focuses on improvement of the economic benefits of microgrids in the prediction framework. First of all, the external characteristic mathematical model of …
Schematic diagram of superconducting magnetic energy storage (SMES) system. It stores energy in the form of a magnetic field generated by the flow of direct current (DC) through a superconducting coil which is cryogenically cooled. The stored energy is released back to the network by discharging the coil. Table 46.
1. Introduction Since thermal energy storage (TES) possesses the capability to temporarily store and reallocate the thermal energy, it has been widely employed in various fields. TES opens up an important avenue to the promotion of renewable energy utilization and ...
Abstract. Energy storage material is one of the critical materials in modern life. However, due to the difficulty of material development, the existing mainstream batteries still use the materials system developed decades ago. Machine learning (ML) is rapidly changing the paradigm of energy storage material discovery and performance prediction ...