Nuclear Science & Technology

Article Nuclear Science & Technology

Do renewable and nuclear energy enhance environmental quality in France? A new EKC approach with the load capacity factor

Ugur Korkut Pata, Ahmed Samour

Summary: This study tests the validity of the environmental Kuznets curve hypothesis for France. The results show that there is no inverted U-shaped relationship between CO2 emissions and income, but the EKC hypothesis holds for the load capacity factor. The findings highlight the importance of nuclear energy in green sustainability.

PROGRESS IN NUCLEAR ENERGY (2022)

Review Energy & Fuels

A comprehensive review on the state of charge estimation for lithium-ion battery based on neural network

Zhenhua Cui, Licheng Wang, Qiang Li, Kai Wang

Summary: This article discusses the importance of a high-level electric vehicle field for implementing carbon neutrality policies and highlights the crucial role lithium-ion batteries play in electric vehicles. By utilizing neural network methods for SOC estimation, accurate estimation can be achieved without considering the internal state of the battery.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Energy & Fuels

Fastest-growing source prediction of US electricity production based on a novel hybrid model using wavelet transform

Weibiao Qiao, Zhaoyang Li, Wei Liu, Enbin Liu

Summary: A novel combination prediction model based on wavelet transform, long short-term memory, and stacked autoencoder was proposed to predict the future growth trend of electricity production. Empirical results showed that this combination model outperformed benchmark models, indicating its potential in electricity production forecasting.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Nuclear Science & Technology

Linking nuclear energy, human development and carbon emission in BRICS region: Do external debt and financial globalization protect the environment?

Muhammad Sadiq, Riazullah Shinwari, Muhammad Usman, Ilhan Ozturk, Aktham Issa Maghyereh

Summary: Nuclear energy has great potential in energy transition and is crucial for sustainable human development and mitigating global climate crises. In the BRICS countries, nuclear energy and financial globalization have positive effects on human development and environmental sustainability, while external debt hinders human development.

NUCLEAR ENGINEERING AND TECHNOLOGY (2022)

Article Nuclear Science & Technology

Do nuclear energy and renewable energy surge environmental quality in the United States? New insights from novel bootstrap Fourier Granger causality in quantiles approach

Mustafa Tevfik Kartal, Ahmed Samour, Tomiwa Sunday Adebayo, Serpil Kilic Depren

Summary: With the growing discussion on climate change mitigation, transitioning to clean energy is a critical challenge. This study evaluates the impact of nuclear and renewable energy consumption on ecological quality, measured by carbon dioxide emissions, ecological footprint, and load capacity factor, considering the role of financial development and economic growth. Using a novel approach, the empirical results show that nuclear energy, renewable energy, and financial development contribute to ecological improvement, while economic growth negatively affects ecological quality in higher quantiles. These findings emphasize the importance of government measures that support the transition to nuclear energy and ecological sustainability for better environmental quality.

PROGRESS IN NUCLEAR ENERGY (2023)

Article Nuclear Science & Technology

Dependence assessment in human reliability analysis under uncertain and dynamic situations

Xianghao Gao, Xiaoyan Su, Hong Qian, Xiaolei Pan

Summary: Human reliability analysis (HRA) is important in fields like nuclear engineering, and assessing dependence among human tasks is a key part of HRA. However, existing methods rely on subjective and uncertain expert opinions and cannot handle dynamic influencing factors. In this paper, a new model based on Dempster-Shafer evidence theory and fuzzy numbers is proposed to address these challenges.

NUCLEAR ENGINEERING AND TECHNOLOGY (2022)

Article Energy & Fuels

Python-based scikit-learn machine learning models for thermal and electrical performance prediction of high-capacity lithium-ion battery

Manh-Kien Tran, Satyam Panchal, Vedang Chauhan, Niku Brahmbhatt, Anosh Mevawalla, Roydon Fraser, Michael Fowler

Summary: This study investigates the performance of four different machine learning models in predicting the thermal and electrical behaviors of Li-ion battery cells, finding that the decision tree-based model with an R-2 score of 0.99 is the best model in this case study.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Energy & Fuels

A novel heat dissipation structure based on flat heat pipe for battery thermal management system

Yueqi Wang, Dan Dan, Yangjun Zhang, Yuping Qian, Satyam Panchal, Michael Fowler, Weifeng Li, Manh-Kien Tran, Yi Xie

Summary: The study focuses on the thermal performance and heat dissipation of batteries in flying cars. Flat heat pipe technology is proposed to solve the battery thermal issues, and its effectiveness is verified through experiments. The results show that the battery's maximum temperature occurs at the end of the takeoff stage, while the maximum temperature difference appears during the forward flight segment. With suitable heat dissipation structures and control methods for different discharge conditions and environmental factors, the battery's thermal performance can be improved.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Energy & Fuels

Stacked bidirectional LSTM RNN to evaluate the remaining useful life of supercapacitor

Chunli Liu, Yang Zhang, Jianrui Sun, Zhenhua Cui, Kai Wang

Summary: In this study, a data-based model for predicting the remaining useful life of a supercapacitor is established using a stacked bidirectional long short-term memory recurrent neural network. Simulation results demonstrate superior performance when the number of hidden layers is 2.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Nuclear Science & Technology

Revealing the nexus between nuclear energy and ecological footprint in STIRPAT model of advanced economies: Fresh evidence from novel CS-ARDL model

Ahmed Usman, Ilhan Ozturk, Syed Muhammad Muddassir Abbas Naqvi, Sana Ullah, Muhammad Imran Javed

Summary: With the increase in anthropogenic activities, there is a higher demand for natural resources such as water, energy, infrastructure, wood, resulting in climate change, land erosion, pollution, and biodiversity loss. This study investigates the impact of nuclear energy and human capital on the ecological footprint in advanced economies. The research findings indicate that nuclear energy can protect the environment and reduce carbon footprints, while human capital can decrease the ecological footprint. However, electricity consumption stimulates economic activity and increases ecological footprints.

PROGRESS IN NUCLEAR ENERGY (2022)

Review Nuclear Science & Technology

Technological solutions for long-term storage of partially used nuclear waste: A critical review

Tonni Agustiono Kurniawan, Mohd Hafiz Dzarfan Othman, Deepak Singh, Ram Avtar, Goh Hui Hwang, Tjandra Setiadi, Wai-hung Lo

Summary: Nuclear power is a sustainable energy option, but it generates radioactive waste during electricity production. Various technologies, including vitrification, partitioning and transmutation, pyro-processing, and deep geological repository, are reviewed for long-term storage of partially used nuclear fuel. While deep geological repository may be convenient and economical in the short-term, complete recycling of nuclear waste is considered the best option in the long-term.

ANNALS OF NUCLEAR ENERGY (2022)

Article Chemistry, Physical

Optical and radiation shielding effectiveness of a newly fabricated WO3 doped TeO2-B2O3 glass system

Jamila S. Alzahrani, Amandeep Sharma, S. N. Nazrin, Z. A. Alrowaili, M. S. Al-Buriahi

Summary: The effect of WO3 doping on the optical and shielding properties of the TeO2B2O3 glass system was investigated in this study. The results showed that WO3 doping decreased the density of the glass samples and increased the molar volume. Optical analysis revealed that WO3 doping changed the values of direct and indirect optical band gaps. In terms of radiation shielding, the glass sample with the highest percentage of TeO2 exhibited the best shielding performance.

RADIATION PHYSICS AND CHEMISTRY (2022)

Article Nuclear Science & Technology

Study of comprehensive shielding behaviors of chambersite deposit for neutron and gamma ray

Mengge Dong, Suying Zhou, Xiangxin Xue, M. Sayyed, Daria Tishkevich, Alex Trukhanov, Chao Wang

Summary: The comprehensive shielding behaviors of chambersite deposit in China for neutron and gamma ray were systematically analyzed for the first time. The results showed that the chambersite deposit has excellent shielding performance for high energy and low energy neutrons, and its gamma ray shielding ability is between steel-magnetite concrete and ilmenite concrete. The prepared sample of chambersite deposit has better shielding performance for both thermal neutron and gamma ray compared to other materials.

PROGRESS IN NUCLEAR ENERGY (2022)

Review Energy & Fuels

Modeling, state of charge estimation, and charging of lithium-ion battery in electric vehicle: A review

Maheshwari Adaikkappan, Nageswari Sathiyamoorthy

Summary: Extension of driving range and battery run time optimization are crucial in Electric Vehicle (EV) modeling, with Battery Management System (BMS) playing a major role in ensuring safe and reliable battery operation. Accurate State of Charge (SoC) estimation requires a well-parameterized battery model, and various battery models and SoC estimation techniques are reviewed for effective BMS development in EVs.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Nuclear Science & Technology

Nuclear energy: A pathway towards mitigation of global warming

M. D. Mathew

Summary: Global warming is caused by the uncontrolled emissions of greenhouse gases, leading to a rise in the average temperature of the Earth's climate system. Nuclear power is a low carbon energy source that plays a significant role in low carbon economy and green energy grid. New innovations in nuclear power are making it a more affordable and attractive energy option.

PROGRESS IN NUCLEAR ENERGY (2022)

Review Energy & Fuels

Temperature prediction of lithium-ion batteries based on electrochemical impedance spectrum: A review

Dezhi Li, Licheng Wang, Chongxiong Duan, Qiang Li, Kai Wang

Summary: With the rapid development of global electric vehicles, artificial intelligence, and aerospace, the prediction of temperature in lithium-ion batteries (LIBs) has become crucial for preventing fire accidents. The current main method is to use surface temperature sensors, but it is not practical to install sensors at each cell due to cost, space, and weight issues. Therefore, the development of a new method based on electrochemical impedance spectroscopy (EIS) has become an urgent problem to be solved. This review summarizes the main methods of using EIS to predict the temperature of LIBs in recent years and discusses the advantages, disadvantages, and future development direction of different methods.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Nuclear Science & Technology

Impact of nuclear and renewable energy sources on environment quality: Testing the EKC and LCC hypotheses for South Korea

Ugur Korkut Pata, Mustafa Tevfik Kartal

Summary: This study explores the impact of nuclear energy consumption on environmental quality, focusing on CO2 emissions, ecological footprint, and load capacity factor. It analyzes the case of South Korea, a leading country in nuclear energy production and consumption, considering economic growth and the 1997 Asian crisis. The study utilizes the autoregressive distributed lag (ARDL) approach and proposes and tests the load capacity curve (LCC) and environmental Kuznets curve (EKC) hypotheses simultaneously. The results confirm the validity of the hypotheses and highlight the positive contribution of nuclear energy to South Korea's green development strategies.

NUCLEAR ENGINEERING AND TECHNOLOGY (2023)

Article Nuclear Science & Technology

Investigating the acceptance of the reopening Bataan nuclear power plant: Integrating protection motivation theory and extended theory of planned behavior

Ardvin Kester S. Ong, Yogi Tri Prasetyo, Jose Ma Luis D. Salazar, Justine Jacob C. Erfe, Arving A. Abella, Michael Nayat Young, Thanatorn Chuenyindee, Reny Nadlifatin, Anak Agung Ngurah Perwira Redi

Summary: This study investigates the acceptance of reopening Bataan Nuclear Power Plant (BNPP) by integrating the Theory of Planned Behavior and Protection Motivation Theory. The results suggest that knowledge about nuclear power plants is crucial in influencing people's acceptance, with knowledge about perceived benefits leading to positive acceptance and knowledge about perceived risks leading to negative acceptance.

NUCLEAR ENGINEERING AND TECHNOLOGY (2022)

Article Energy & Fuels

Structural and physical properties of polyaniline/silver oxide/silver nanocomposite electrode for supercapacitor applications

A. Atta, M. M. Abdelhamied, Doaa Essam, Mohamed Shaban, Alhulw H. Alshammari, Mohamed Rabia

Summary: In this study, Polyaniline (PANI) and polyaniline/silver oxide/silver (PANI/Ag2O-Ag) nanocomposite were successfully synthesized using a photopolymerization method and characterized using various techniques. The results indicate that the composite exhibits high efficiency capacitance and energy density under different electrolytes, with high stability and minimal loss in capacitance retention. These findings suggest that PANI/Ag2O-Ag is a promising electrode material for high-performance supercapacitors that may soon be utilized in the industrial field.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

Article Energy & Fuels

Enhanced optimization algorithm for the structural design of an air-cooled battery pack considering battery lifespan and consistency

Yi Xie, Yujie Liu, Michael Fowler, Manh-Kien Tran, Satyam Panchal, Wei Li, Yangjun Zhang

Summary: This study proposes a method for optimizing the air channels in a scooter battery pack and demonstrates its ability to improve the thermal performance, SOC distribution, and lifespan of the battery pack through experiments.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)