Showing papers in "Energy in 2022"

TL;DR: In this paper, the used thermal management methods of lithium-ion batteries are introduced and their advantages and disadvantages are discussed and compared, and the prospect of future development is put forward.

TL;DR: In this paper , the used thermal management methods of lithium-ion batteries are introduced and their advantages and disadvantages are discussed and compared, and the prospect of future development is put forward.

TL;DR: In this article , the authors analyzed the dynamic association between financial development, natural resources, globalization, non-renewable, and renewable energy consumption for eight Arctic countries from 1990 to 2017.

TL;DR: In this article , the authors tried to connect sustainable development goals with energy efficiency for 20 Asian and Pacific (AP) countries using Data Envelopment Analysis (DEA) from 2000 to 2018.

TL;DR: Supercapacitors are considered comparatively new generation of electrochemical energy storage devices where their operating principle and charge storage mechanism is more closely associated with those of rechargeable batteries than electrostatic capacitors as mentioned in this paper .

TL;DR: In this article , the authors investigated the impact of trilemma energy balance and clean energy transitions on economic expansion and environmental sustainability while moderating the role of clean energy and natural resources rents of the three Trilemma leaders from 1990 to 2016.

TL;DR: In this paper , an improved feedforward-long short-term memory (FF-LSTM) modeling method is proposed to realize an accurate whole-life-cycle state of charge (SOC) prediction by effectively considering the current, voltage, and temperature variations.

TL;DR: In this article, an arc-shaped piezoelectric sheet between the outer race of rolling bearing and bearing pedestal was installed to scavenge rotational energy from rotating machines.

TL;DR: In this paper, the authors explored the relationship between renewable energy consumption and economic growth from new risk-based perspectives, including political risks, financial risks, economic risks and composite risks, and found that renewable energy positively impacts economic development when the first threshold value is exceeded, but not the second.

TL;DR: The proposed long short-term memory-based model is a satisfactory method for energy consumption forecasting due to its high accuracy and the high-precision forecasting technology is important for the energy systems.

TL;DR: In this article , the authors used the Levenberg-Marquardt algorithm to find the best topology of the ANN model at a hidden layer consisting of 10 neurons, including the lowest mean absolute percentage error (14.42) and the highest R2 (0.79).

TL;DR: In this paper, the epsilon-based measure data envelopment analysis model with undesirable outputs is applied to estimate TSCDEE for 30 provinces in China from 2010 to 2016.

TL;DR: A comprehensive overview of second-life Li-ion batteries through exploring relevant literature is provided in this paper , where the fundamental of battery degradation and experimental approaches are first surveyed, followed by the obstacles and methods of reusing and recycling Li-ION battery, related applications, cost issues, and business models of second life Liion batteries are discussed.

TL;DR: In this paper , the epsilon-based measure data envelopment analysis model with undesirable outputs is applied to estimate TSCDEE for 30 provinces in China from 2010 to 2016.

TL;DR: In this paper, the authors investigated the scale and technique effects on renewable energy consumption, considering foreign direct investment (FDI) and financial development as considerable factors of renewable energy demand.

TL;DR: In this article , the authors explored the relationship between renewable energy consumption and economic growth from new risk-based perspectives, including political risks, financial risks, economic risks and composite risks, and found that renewable energy positively impacts economic development when the first threshold value is exceeded, but not the second.

TL;DR: In this article , an arc-shaped piezoelectric sheet between the outer race of rolling bearing and bearing pedestal was installed to scavenge rotational energy from rotating machines.

TL;DR: In this paper , the authors examined the volatility connectedness network among clean-energy stocks and fossil fuels such as crude WTI, natural gas, gas oil, and fuel oil.

TL;DR: In this paper , a three-dimensional computational fluid dynamics (CFD) model of a diesel engine cylinder was developed by AVL-Fire software, and a chemical reaction mechanism containing 377 reactions and 81 species was established by the CHEMKIN program.

TL;DR: Wang et al. as discussed by the authors investigated the impact of the ICT on green total factor energy efficiency (GTFEE) using panel data from China's 213 prefecture-level cities from 2011 to 2018.

TL;DR: In this paper , a long short-term memory-based model was applied to energy consumption forecasting to achieve a better prediction performance and the more critical influencing factors are emphasized, and the proposed model achieves better prediction accuracy compared with basic LSTM and other existing popular models.

TL;DR: In this article, the authors evaluated potential solutions to Pakistan's energy shortages based on a renewable green hydrogen source provided by geothermal, wind, biomass, and solar energy, and concluded that the efficiency of wind energy sources is best adapted to produce hydrogen energy for all four criteria in Pakistan.

TL;DR: In this paper , a new crude oil price prediction model is proposed, which includes the long short-term memory (LSTM), technical indicators such as trend, volatility and momentum, and the chaotic Henry gas solubility optimization (CHGSO) technique.

TL;DR: In this article, the authors identify some of the barriers to development currently facing these methods of seasonal thermal energy storage, and subsequently some work being undertaken to address these barriers in order to facilitate wider levels of adoption throughout energy systems.

TL;DR: In this article, a coupled electrochemical-thermal model of the power lithium manganate battery under discharging process is established and verified, and its maximum surface temperature errors at the test point under 0.5C (C is discharging rate) and 1.0c (C) are 1.08 k and 0.95 k, respectively.

TL;DR: In this paper , the authors explored future courses of carbon neutrality, in terms of CO2 emissions, in China under different scenarios of economic development quality, and found that under the conventional, accelerated, and enhanced improvement scenarios, China could reach a carbon peak in 2027, 2026, and 2025 (3.5075, 3.5074, and 3.66 billion tonnes, respectively), and then achieve the zero carbon emission goal in 2050, 2044 and 2040, respectively.

TL;DR: In this paper, a CO2 foam fracturing fracture propagation model with temperature-pressure-phase coupling is established, and the results of this model are compared with the field measured data, KGD model and EFRAC-3D model to verify the model.

TL;DR: In this article , an automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm (MI), AE, and ELM.

TL;DR: Results indicate that high electrification rates are imminent to achieve a rapid decarbonization, which implies that technology development and deployment must go hand-in-hand with strong policy enforcement in the short-term to speed-up the energy transition.

TL;DR: Wang et al. as discussed by the authors proposed a fault diagnosis method for bearing of flywheel energy storage system based on parameter optimization Variational Mode Decomposition (VMD) energy entropy, which can effectively extract the bearing fault characteristics and realize accurate fault diagnosis, and the recognition rate reached 97.5%, which was better than the comparison method.