Article
Engineering, Environmental
Abraham J. Padilla, Nedal T. Nassar
Summary: Tantalum has attracted significant attention due to supply chain risks, with the majority of global supply originating from Africa, particularly the Democratic Republic of Congo. The United States has relied on imports since the 1950s, but accurately quantifying domestic consumption is challenging due to lack of unique tariff codes for refined tantalum compounds. Additionally, tantalum incorporated into finished goods is not tracked. Through material flow analysis, our study reveals that domestic tantalum consumption may be up to 250% higher than previously estimated, providing valuable insights for industry and policymakers in addressing supply security issues.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Engineering, Environmental
Gerald Kalt, Philipp Thunshirn, Dominik Wiedenhofer, Fridolin Krausmann, Willi Haas, Helmut Haberl
Summary: Electricity infrastructures are crucial for providing essential energy services and economic prosperity. Material stock inventories can provide insights into the material basis of societal well-being.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Thermodynamics
J. P. Namahoro, Q. Wu, H. Su
Summary: This study empirically explores the relationship between wind energy consumption, industrial-economic development, and CO2 emissions in the top 41 countries from 1997 to 2018. The results show that severe droughts are not a significant concern for wind energy, and utilizing wind energy helps reduce CO2 emissions. However, industrial and economic development is positively associated with CO2 emissions in the sampled countries. Additionally, the study finds that while industrial development promotes economic growth, wind energy use has an insignificant positive effect on economic growth and a negative impact on industrial development. The study also identifies two-way causal relationships between CO2 and other variables, as well as between industrial development and economic growth and wind energy use.
Article
Environmental Studies
Nidhi Srivastava
Summary: A transition towards a low carbon economy relies on the availability of critical minerals for renewable energy technologies. However, there has been a lack of emphasis on the legal framework for international trade in minerals and energy transition. This paper examines the legal regime for ownership and trade in minerals, and highlights the challenges related to the growing demand for critical minerals in the context of energy transition.
Article
Green & Sustainable Science & Technology
Jamileh Fouladi, Ahmed AlNouss, Tareq Al-Ansari
Summary: Resource depletion is a significant threat to society due to the increasing demand for water, energy, and food resources driven by population growth. This study focuses on designing an integrated Energy-Water-Food-Carbon nexus within eco-industrial parks to address this issue. The research examines various technology sub-systems and carbon capture/utilization processes in an industrial park in Qatar. Simulation and optimization of multiple scenarios reveal the potential for biomass utilization and carbon capture to significantly reduce emissions, while wastewater treatment and reuse scenarios show no significant impact. The cost of the optimum solution after biomass utilization is slightly higher, but waste heat utilization can potentially reduce global warming potential.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Jamileh Fouladi, Ahmed AlNouss, Tareq Al-Ansari
Summary: In this study, a representation of the Energy-Water-Food (EWF) nexus is developed to capture the tradeoffs and synergies within an industrial park. A systems approach based on thermodynamics is used to optimize the nexus and enhance resource efficiency. The case study in Qatar evaluates resource efficiency enhancement possibilities across various scenarios and considers trade-offs between minimizing total cost and environmental emissions. The importance of utilizing biomass from the food sector to capture synergistic potential is emphasized. The results indicate improvements in global warming potential and exergy efficiency in the best performing scenario.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Junming He, Wasim Iqbal, Fangli Su
Summary: The present study investigates the impact of renewable energy investment on carbon emissions in 24 China provinces from 2005 to 2020, along with other factors such as green finance, income per capita, technical innovations, and industrial structure. The results show a stable long-run association between renewable energy investment and sustainable development. Additionally, renewable energy investment, technical innovations, and green finance significantly contribute to environmental sustainability, while economic development and industrial infrastructure have a negative effect on environmental sustainability.
Article
Environmental Sciences
Lu Lu, Zhen Liu, Muhammad Mohsin, Chunlian Zhang
Summary: There has been a steady decline in carbon dioxide emissions in the world's 19 most industrialized nations even as GDP has increased. The research investigates the links between carbon dioxide emission and various independent variables, such as GDP, renewable energy, industrial upgrading, and import and export. The findings suggest that renewable energy and standards of import and export contribute to the decrease in carbon dioxide emissions. The study also confirms the environmental Kuznets curve hypothesis and identifies bidirectional causal links between industrial upgrading and carbon dioxide emissions, gross domestic product and renewable energy, as well as industrial upgrading and import and export standards. Policy suggestions are provided based on the results.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Zackery B. Morris, Marc Weissburg, Bert Bras
Summary: This study investigated 29 urban-industrial ecosystems using ecological network analysis, revealing that these systems perform worse ecologically compared to natural ecosystems. The impact of specific actor types within the networks, such as industry, agriculture, and the natural environment, was shown to be significant. Furthermore, the types of networks have been determined to affect ecological metrics, with linear-based energy networks performing the worst.
JOURNAL OF INDUSTRIAL ECOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Lu Liu, Jinhua Li, Zhibin Jia, Jing Liu
Summary: This study conducted industrial metabolism analysis on a representative wine company in China, comparing the traditional industry chain (TIC) and ecological industry chain (EIC) to explore material flow relationships. The results showed that EIC had higher industrial metabolic efficiency and resource utilization than TIC, with the addition of nodes promoting byproduct reuse and waste reduction.
JOURNAL OF INDUSTRIAL ECOLOGY
(2022)
Article
Engineering, Aerospace
J. A. Dallas, S. Raval, S. Saydam, A. G. Dempster
Summary: This text outlines the climate goals set by the Paris Agreement and the increased demand for critical mineral resources due to the global shift towards renewable energy technologies. It highlights the potential of extraterrestrial bodies as a future source to meet this demand.
Review
Environmental Sciences
Aleksander Cholewinski, Eugenia Dadzie, Cassandra Sherlock, William A. Anderson, Trevor C. Charles, Komal Habib, Steven B. Young, Boxin Zhao
Summary: The resilience and low cost of plastics have led to their widespread use, but also contribute to their abundance and persistence as waste. Plastic pollution is a major concern for global ecosystems and their health. Material flow analysis, previously used in other industries, has been applied to plastics to understand how waste enters the environment. However, research on degradation strategies for microplastics has been limited and material flow analysis lacks data. The variety of plastics, their additives, and contaminants present significant challenges in degrading microplastic particles.
ENVIRONMENTAL POLLUTION
(2022)
Article
Materials Science, Ceramics
Andrea Trovo, Matteo Rugna, Nicola Poli, Massimo Guarnieri
Summary: Vanadium Flow Batteries (VFBs) are a stationary energy storage technology that can seamlessly integrate renewable energy sources into the electrical grid with advantages such as adjustable power and energy, safety, and durability. This paper discusses the features and performance parameters of VFBs, their potential grid services, economic analysis, and deployment prospects. The study draws inspiration from industrial-scale VFBs operated at the Electrochemical Energy Storage and Conversion Lab (EESCoLab) at the University of Padua, Italy.
CERAMICS INTERNATIONAL
(2023)
Article
Environmental Sciences
Bowei Wang, Samma Faiz Rasool, Yan Zhao, Madeeha Samma, Javed Iqbal
Summary: Team factors and communication factors have a positive and significant direct relationship with project success, while organizational factors and technical factors are not significant in the direct relationship. Despotic leadership does not mediate between organizational factors and project success in the indirect relationship, but negatively mediates between team, technical, and communication factors of critical success factors on project success.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Materials Science, Multidisciplinary
Jayachandra S. Yaradoddi, Nagaraj R. Banapurmath, Sharanabasava V. Ganachari, Manzoore Elahi M. Soudagar, Ashok M. Sajjan, Shrinidhi Kamat, M. A. Mujtaba, Ashok S. Shettar, Ali E. Anqi, Mohammad Reza Safaei, Ashraf Elfasakhany, Md Irfanul Haque Siddiqui, Masood Ashraf Ali
Summary: Bioplastics, derived from natural resources, have attracted attention due to their biodegradability. This study focused on producing bioplastic from orange peel, which has high cellulose content. The developed film showed promising results in terms of strength, flexibility, and bio-degradability. Characterization methods confirmed its bio-based nature. A simple and economical process was described for manufacturing this bio-based plastic.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Engineering, Environmental
Yao Wang, Jing Guo, Qiang Yue, Wei-Qiang Chen, Tao Du, Heming Wang
Summary: Rapid urbanization and increasing demand for buildings have put significant pressure on cities to reduce carbon emissions. This study calculates building-related CO2 emissions for 266 Chinese cities in 2010 and 2015, providing valuable insights and implications for reducing CO2 emissions in urban areas.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Engineering, Environmental
Min Hao, Linbin Tang, Peng Wang, Heming Wang, Qiao-Chu Wang, Tao Dai, Wei-Qiang Chen
Summary: China's high copper demands and limited mineral resources have resulted in heavy reliance on international copper trade. This study reveals that a significant portion of copper used in China is imported, highlighting the importance of copper waste trade.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Editorial Material
Environmental Sciences
Jintai Lin, Ji Nie, Tao Wang, Xu Yue, Wenjia Cai, Yu Liu, Qiang Zhang
Summary: China's commitment and pathway towards carbon neutrality is crucial globally due to its status as a major economy with significant greenhouse gas emissions and ecosystem carbon sink. The integration of scientific knowledge from multiple disciplines is imperative to support policy-making on emission mitigation and carbon sink enhancement. This focus issue, along with a workshop on the same theme, provides an opportunity to meet this need, with 21 published papers presenting evidence of intensifying weather extremes, the potential of terrestrial carbon sink exploitation, and challenges and opportunities for emission mitigation.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Yu Zhou, Wenjun Lv, Zihan Zhou, Qiongqiong Tang, Guansheng Han, Jianshuai Hao, Weiqiang Chen, Faquan Wu
Summary: A energy calculation programme for slope system based on secondary development of PFC2D was proposed to accurately predict the instability of rock slopes with intermittent joints. The step-path failure modes were well reproduced and classified into three types based on the penetration modes of rock bridges. By observing the evolution of energy, a failure criterion based on energy mutation was established. This criterion has the advantages of clear physical meaning, strong integrity, easy judgement, and good applicability, providing theoretical support for evaluating rock mass stability and predicting instability of jointed slopes.
Article
Green & Sustainable Science & Technology
Xiaoqian Hu, Chao Wang, Ming K. Lim, Wei-Qiang Chen, Limin Teng, Peng Wang, Heming Wang, Chao Zhang, Cuiyou Yao, Pezhman Ghadimi
Summary: This study constructs a global EV-LIB supply network from 1990 to 2020 using a multilayer network model and explores critical risk sources from static and dynamic network perspectives. The results reveal the critical position of countries and the impacts of risk sources and their transmission paths. The findings provide anti-risk support for policy-makers.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Green & Sustainable Science & Technology
Longlong Xia, Wenhao Chen, Bufan Lu, Shanshan Wang, Lishan Xiao, Beibei Liu, Hongqiang Yang, Chu-Long Huang, Hongtao Wang, Yang Yang, Litao Lin, Xiangdong Zhu, Wei-Qiang Chen, Xiaoyuan Yan, Minghao Zhuang, Chih-Chun Kung, Yong-Guan Zhu, Yi Yang
Summary: China's agriculture, which feeds 20% of the global population, is a significant contributor to greenhouse gas emissions. To achieve carbon neutrality, the study proposes the utilization of sustainable biomass waste, such as crop residues, forest residues, livestock manure, food waste, and sewage sludge, for biochar production. The potential of biochar production from these waste resources in 2018 can offset the methane and nitrous oxide emissions from China's croplands. However, the distribution of biomass waste varies across regions, and differential policies and pyrolysis technologies are needed to maximize the climate benefit.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Green & Sustainable Science & Technology
Longfeng Zhao, Yajie Yang, Xiao Bai, Lin Chen, An-Liang Lu, Xin Zhang, Wei-Qiang Chen
Summary: With the increasing impact of climate change, there has been a surge in demand for wind energy, leading to fierce competition and a complex trade structure in the wind turbine industry. This study fills the gap by investigating the hidden risks of the global wind turbine trade network (GWTTN) using complex network methodologies. The structure analysis reveals a core-periphery organization and an unbalanced concentration of exports and imports, with Europe having unparalleled influence and Asia rising in recent decades. The study also highlights the robust yet fragile nature of the GWTTN and the importance of complex trade links in triggering large-scale contagion and market devastation.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Environmental
Yao Wang, Heming Wang, Peng Wang, Xu Zhang, Zhihe Zhang, Qiumeng Zhong, Fengmei Ma, Qiang Yue, Wei-Qiang Chen, Tao Du, Sai Liang
Summary: The COVID-19 pandemic has disrupted global metal mining and supply chains, leading to a 10-20% reduction in global metal mining in 2020. This reduction resulted in losses of approximately $117 billion in global economic output, reduced CO2 emissions by about 33 million tonnes, and saved 78,192 disability-adjusted life years. Copper and iron mining had the most significant contribution to these effects. China and the rest of the world, particularly America, were the most affected. The cascading effects of the metal mining disruption associated with the pandemic on the economy, climate change, and human health should be considered when designing green economic stimulus policies.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Multidisciplinary Sciences
Xiang Li, Lulu Song, Qiance Liu, Xin Ouyang, Ting Mao, Haojie Lu, Litao Liu, Xiaojie Liu, Weiqiang Chen, Gang Liu
Summary: Reliable city-level stocks data on products, buildings, and infrastructure materials are crucial for understanding historical patterns, evaluating material efficiency, and predicting recycling potentials. However, such data are often limited due to lack of statistics, inconsistency, or gaps in city-level records. In this study, we created the Urban Product, Building, and Infrastructure Material Stocks (UPBIMS) dataset for China, a country that has experienced rapid urbanization. By consolidating official statistics and employing gap-filling methods, we obtained a comprehensive dataset containing the stock of 24 materials in various products, buildings, and infrastructure across all 337 prefecture-level cities in China from 1978 to 2020. This dataset, which is the first of its kind with full coverage of Chinese cities, has undergone quality control and will be regularly updated.
Article
Environmental Studies
Xiaoqian Hu, Boxue Sun, Chao Wang, Ming K. Lim, Peng Wang, Xinyi Geng, Cuiyou Yao, Wei-Qiang Chen
Summary: The decline in China's exports of rare earth elements (REEs) has attracted attention, and this study evaluates the potential impact on other countries. Through an analysis of the global trade network of REEs from 1990 to 2019, it is found that economic scale, contiguity, geodesic and economic and institutional distance are the main drivers of REEs trade. The most affected countries are mainly located in Asia and Europe.
Article
Engineering, Environmental
Jin Li, Canyang Xie, Wenjia Cai, Jiangshan Wang, Can Wang
Summary: Given the urgency of addressing climate change and declining demand for steel, it is important for China's iron and steel industry to phase out its primary production facility, the blast furnace. However, there is a lack of research on designing decarbonization pathways that consider economic, environmental, and regional aspects equally, as well as the impact of individual facility heterogeneity on climate policies. In this study, we propose a novel strategy to address these research gaps by considering economic, carbon, water, and health factors in determining the priority for closure of China's blast furnaces, aiming to improve environmental efficiency without sacrificing regional equality.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Tao Lu, Wei-Qiang Chen, Yibing Ma, Qingchang Qian, Jinping Jia
Summary: There is growing concern over the environmental impacts of copper mining and mineral processing industries in China. This study aimed to fill the research gap by investigating two typical operations using LCA methodologies. The results showed that electricity, diesel, and explosives were the main controlling factors, and the mineral processing stage had the highest environmental impact.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Yajin Hu, Donghao Li, Yong Wu, Siyuan Liu, Ling Li, Weiqiang Chen, Shufang Wu, Qingxiang Meng, Hao Feng, Kadambot H. M. Siddique
Summary: Combining organic and inorganic fertilizers can improve soil fertility and reduce inorganic fertilizer use. However, the optimal ratio of organic to inorganic fertilizer and the impact on greenhouse gas emissions are unclear. This study found that using 75% organic fertilizer and 25% inorganic fertilizer resulted in the highest crop yields and lowest greenhouse gas intensities in a winter wheat-summer maize cropping system in northern China.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Editorial Material
Food Science & Technology
Wenjia Cai, Rui Wang, Shihui Zhang
Article
Multidisciplinary Sciences
Ranran Wang, Edgar G. Hertwich, Tomer Fishman, Sebastiaan Deetman, Paul Behrens, Wei-qiang Chen, Arjan de Koning, Ming Xu, Kira Matus, Hauke Ward, Arnold Tukker, Julie B. Zimmerman
Summary: The foundations of today's societies are based on manufactured capital accumulation driven by investment decisions. Our research integrates 50 years of economic and environmental data to provide the global legacy environmental footprint (LEF) and unveil the historical material extractions, greenhouse gas emissions, and health impacts accrued in today's manufactured capital. Our results show that global LEF growth has outpaced GDP and population growth, and developed economies (DEs) benefit disproportionately from global asset supply chains, resulting in a double burden for less-developed economies (LDEs).
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.