Article
Green & Sustainable Science & Technology
Harikrishnan Parathodiel, Elsayed Mousa, Hesham Ahmed, Mohamed Elsadek, Kerstin Forsberg, Charlotte Andersson
Summary: This study explores the feasibility of using organic binders to produce magnetite iron ore pellets, and compares the effects of different types and dosages of binders and moisture content on the characteristics and properties of the pellets. Organic binders show advantages in certain aspects, but have slightly lower performance in terms of firing compared to traditional binders. Cold-bonded pellets demonstrate a higher reduction rate.
Article
Thermodynamics
Jinwei Song, Hua Qian, Dongliang Zhao, Weixue Jiang, Xiaohong Zheng
Summary: Particulate matter emissions from rotating wheels is an important pollutant source on the road. As the speed of the wheel increases, the emission factor of particulate matter and the number and proportions of PM2.5 and PM10 at different sampling points also increase accordingly.
BUILDING SIMULATION
(2021)
Article
Green & Sustainable Science & Technology
Hyunsik Kim, Sungho Tae
Summary: The study aimed to propose an emission evaluation model to support the establishment of management policies for construction site PM emissions in South Korea. It calculated PM10, PM2.5, NOx, SOx, and VOCs emission factors for equipment in construction sites, estimated annual total emissions, and presented criteria for evaluating the adequacy of the estimated emissions.
Review
Energy & Fuels
James W. W. Butler, William Skrivan, Samira Lotfi
Summary: Torrefaction pretreatment of biomass improves its fuel quality for co-firing with thermal coal. Densification of torrefied biomass results in pellets with similar properties to low-grade coals. The use of binding agents enhances the durability of torrefied pellets, and solid lignin, biomass tar, tall oil pitch, and lime are identified as the best binders.
Article
Engineering, Chemical
Haoyu Fang, Lei Gao, Xiaolei Zhou, Haoli Yan, Yunpeng Wang, Haohang Ji
Summary: This paper investigates the use of sodium lignosulfonate (SL) as a binder in the pelletization of iron ore powder. The experimental results show that the compressive strength of limonite pellets prepared with SL-based binders is highest at a preheating temperature of 1100°C, reaching 342.55 N/P, which qualifies for the subsequent iron-making process. The study also employs artificial neural networks to process data and generate predicted values, providing assistance for enterprise digitization and automation processes.
ADVANCED POWDER TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Sihoo Yoon, Daeyoun Won, Seokho Chi
Summary: Real-time monitoring of particulate matter (PM) at construction sites is crucial for the health of workers and nearby residents. This study estimated the PM inside a construction site using emission factors and compared it with sensor measurements. The comparison showed positive correlations with Pearson's correlation coefficients ranging from 0.516 to 0.882, confirming the possibility of real-time on-site PM monitoring using emission factors.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Yu Li, Zhiwu Tan, Youjian Zhu, Wennan Zhang, Zhenyi Du, Jingai Shao, Long Jiang, Haiping Yang, Hanping Chen
Summary: This study investigates the effects of NH4H2PO4 additive on the properties of biomass fuel and particulate matter emissions during combustion. The results show that NH4H2PO4 addition can enhance the removal of O and retention of C, reduce the absolute content of Cl and S in the torrefied fuel, and significantly change the occurrence of alkali and alkaline earth metals. Furthermore, the emissions of PM1 from the torrefied fuels are effectively reduced with the addition of NH4H2PO4.
Article
Green & Sustainable Science & Technology
Wei Yang, Youjian Zhu, Yu Li, Wei Cheng, Wennan Zhang, Haiping Yang, Zhiwu Tan, Hanping Chen
Summary: This study investigates the influence of co-combustion of rice husk with cotton stalk or cornstalk on PM emissions. The experimental results demonstrate a significant reduction in PM1 yields during the co-combustion process. The synergistic effect of physical dilution and chemical reactions between alkali metals and Si-containing species in the ash contributes to the inhibition of fine particulate matter generation. The Si/(Ca+Mg) ratio in the ash chemistry, especially for rice husk/cornstalk, plays a crucial role in the degree of PM reduction.
Article
Chemistry, Analytical
Tian Wang, Longfei Tang, Xi'ao Feng, Jianliang Xu, Lu Ding, Xueli Chen
Summary: The study found that adding pea starch (PS) can increase bio-oil yield and the proportion of CO, while carboxymethyl cellulose (CMC) has little impact on the pyrolysis of rice straw pellets. Furthermore, the introduction of Na has positive synergistic effects on the gasification of bio-char.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2022)
Article
Environmental Sciences
Xiaotong Ye, Tianhai Cheng, Xiaoyang Li, Hao Zhu
Summary: This study assesses the differences in total particulate matter (TPM) emissions when calculated using different satellite aerosol optical depth (AOD) data. Using high spatial resolution AOD data, a 90% decrease in TPM emission coefficients (Ce) is found in Australia, and the quality of Ce improves by 290%. Using 1 km AOD data instead of 10 km AOD data, the estimation of biomass burning TPM emissions in Australia during 2012-2020 decreases from 1.08Tg to 0.11Tg.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
Hong Chen, Matthew Quick, Jay S. Kaufman, Chen Chen, Jeffrey C. Kwong, Aaron van Donkelaar, Jun Meng, Randall V. Martin, JinHee Kim, Eric Lavigne, Li Bai, Yi Li, Michael Tjepkema, Tarik Benmarhnia, Richard T. Burnett
Summary: Reducing anthropogenic contributions to PM2.5 could lead to significant health benefits, even in a country like Canada where PM2.5 levels are already low. A 10% annual reduction in PM2.5 contributions from transportation and power generation sources could prevent a substantial number of deaths per million by 2016.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Engineering, Environmental
Eon S. Lee, Keshav Sahay, Edward O'Neil, Subhasis Biswas, Inna Dzhema, Shiou-Mei Huang, Peng Lin, Ming-Chih Oliver Chang, Tao Huai
Summary: Automotive brake-wear emissions, especially from heavy-duty vehicles equipped with drum brakes, are an important contributor to on-road particulate matter (PM) emission inventory. This study developed a novel method and evaluated four heavy-duty vehicles, finding that braking events significantly increase PM concentrations and brake-wear PM also resuspends during acceleration.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Review
Energy & Fuels
Lu Wang, Yuzhong Li, Jingwei Li, Hongwei Zhang, Zhuping Zhang, Weizhao Ran
Summary: This study presents a critical review of the latest research advances in condensable particulate matter (CPM), focusing on measurement methods, emission characteristics, and control methods, to provide researchers with a systematic understanding and reference.
Article
Environmental Studies
Zheng Wan, Xujun Zhou, Qiang Zhang, Jihong Chen
Summary: The ECA policy in China has significantly reduced PM in the Yangtze River Delta region, but not in the Pearl River Delta and Bohai Rim regions. Further research is needed to understand the possible explanations for these varying outcomes.
Article
Environmental Sciences
Huanhuan Tong, Yangjun Wang, Shikang Tao, Ling Huang, Sen Jiang, Jinting Bian, Nan Chen, Manomaiphiboon Kasemsan, Haiyan Yin, Cheng Huang, Hui Chen, Kun Zhang, Li Li
Summary: The emission and environmental impact of condensable particulate matter (CPM) from coal-fired power plants (CFPPs) in China has been a concern due to the uncertain source profile and emission inventory. This study summarized the latest measurements of CPM species emitted from CFPPs and developed a source profile containing 10 inorganic and 71 organic species. Additionally, an emission inventory for CFPPs in Yantai was developed based on activity data and continuous emission monitoring system. The study provides valuable data for assessing the air quality and health impacts of CPM and serves as a methodology for developing CPM emission inventories in other regions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Energy & Fuels
Wei Yang, Youjian Zhu, Wei Cheng, Huiying Sang, Haiping Yang, Hanping Chen
Article
Energy & Fuels
Youjian Zhu, Wei Yang, Jiyuan Fan, Tao Kan, Wennan Zhang, Heng Liu, Wei Cheng, Haiping Yang, Xuehong Wu, Hanping Chen
Article
Energy & Fuels
Jing'ai Shao, Wei Cheng, Youjian Zhu, Wei Yang, Jiyuan Fan, Heng Liu, Haiping Yang, Hanping Chen
Article
Energy & Fuels
Youjian Zhu, Jiyuan Fan, Peng Yang, Wei Cheng, Kuo Zeng, Wennan Zhang, Haiping Yang, Jingai Shao, Xianhua Wang, Hanping Chen
Article
Engineering, Environmental
Zhiyi Yao, Xin He, Qiang Hu, Wei Cheng, Haiping Yang, Chi-Hwa Wang
CHEMICAL ENGINEERING JOURNAL
(2020)
Article
Energy & Fuels
Youjian Zhu, Yiming Chen, Wei Cheng, Wennan Zhang, Junhao Hu, Kuo Zeng, Haiping Yang, Jingai Shao, Hanping Chen
Summary: This study investigated the effects of three calcium phosphate additives on PM1 emissions from cornstalk combustion, with one additive showing promising potential in reducing PM1 emissions. The addition of Ca-3(PO4)(2) was found to be a potentially effective method in reducing PM1 emissions during straw biomass combustion.
Article
Green & Sustainable Science & Technology
Wei Cheng, Youjian Zhu, Jing'ai Shao, Wennan Zhang, Guihao Wu, Hao Jiang, Junhao Hu, Zhen Huang, Haiping Yang, Hanping Chen
Summary: A new phosphoric acid modification method was proposed to improve the reduction efficiency of PM0.2 by kaolin additive in agricultural biomass pellet combustion, significantly reducing PM0.2 emissions. The modification destroyed the internal structure of kaolin and increased its pore structure, leading to better alkali capture ability.
Article
Energy & Fuels
Qiang Hu, Wei Cheng, Qiaoting Mao, Junhao Hu, Haiping Yang, Hanping Chen
Summary: This study characterized the physicochemical properties of chars produced from biomass pellet pyrolysis under different heating rates. The results showed that the heating rate had significant effects on the char yield, physical properties, chemical structure, and gasification reactivity, with some irregular patterns observed in certain properties.
Article
Green & Sustainable Science & Technology
Wei Cheng, Jing'ai Shao, Youjian Zhu, Wennan Zhang, Hao Jiang, Junhao Hu, Xiong Zhang, Haiping Yang, Hanping Chen
Summary: Torrefaction can improve fuel properties and reduce operating costs. However, the emission behavior of particulate matter (PM) during torrefied pellet combustion is still unknown. In this study, cotton stalks were torrefied at temperatures of 220-300°C with oxygen concentrations of 0-21%. The burned torrefied pellets were analyzed using a Dekati low-pressure impactor to investigate PM emission behavior. The results show that oxidative torrefaction leads to significant decreases in H/C and O/C ratios, making the fuel properties similar to coal. The heating value is greatly improved and sensitive to the torrefaction temperature. Both non-oxidative and oxidative torrefaction result in a considerable increase in PM10 yield. The main composition of PM1 changes from KCl to K2SO4 due to the release of chlorine during torrefaction. Additionally, the presence of oxygen facilitates the transformation of alkali and alkaline-earth metals into coarse particles, as indicated by the generally high levels of calcium and potassium in PM1-10. The optimal torrefaction conditions for producing high-quality torrefied cotton stalk pellets with high heating values and low PM emission in subsequent combustion applications are around 260°C with a low oxygen concentration of 0-6%.
Article
Green & Sustainable Science & Technology
Wei Yang, Youjian Zhu, Yu Li, Wei Cheng, Wennan Zhang, Haiping Yang, Zhiwu Tan, Hanping Chen
Summary: This study investigates the influence of co-combustion of rice husk with cotton stalk or cornstalk on PM emissions. The experimental results demonstrate a significant reduction in PM1 yields during the co-combustion process. The synergistic effect of physical dilution and chemical reactions between alkali metals and Si-containing species in the ash contributes to the inhibition of fine particulate matter generation. The Si/(Ca+Mg) ratio in the ash chemistry, especially for rice husk/cornstalk, plays a crucial role in the degree of PM reduction.
Article
Engineering, Environmental
Hao Jiang, Jing'ai Shao, Youjian Zhu, Jie Yu, Wei Cheng, Haiping Yang, Xiong Zhang, Hanping Chen
Summary: High-temperature pyrolysis of waste tires is a promising method for producing high-quality carbon black. The study examined the formation characteristics of carbon black during tire pyrolysis at different temperatures and residence times. It was found that the carbon black yield and graphitization degree increased with temperature and residence time. Molecular dynamics simulations revealed the evolution process from tire to initial carbon black. The findings can contribute to the production of high-quality carbon black through waste tire pyrolysis.
JOURNAL OF HAZARDOUS MATERIALS
(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.
