Article
Energy & Fuels
Yu Jiang, Byoung-Hwa Lee, Dong-Hun Oh, Chung-Hwan Jeon
Summary: The study analyzed and optimized different operating parameters for stable combustion and low pollutant emissions of a pulverized coal boiler under half-load conditions using numerical simulation. The results showed that the arrangement of the middle burner group was more effective in reducing NOX emissions and maintaining a higher coal burnout rate. A 5% close-coupled overfire air and 15% separated overfire air ratio were preferred for optimal combustion stability and emissions control.
Article
Energy & Fuels
Min Kuang, Jialin Wang, Xiu Wang, Xiaojuan Zhao, Yangyang Chen, Lin Du
Summary: The study developed a cascade-arch-firing low-NOx and high-burnout configuration (CLHC) for down-fired furnaces to enhance combustion performance. Analysis showed that moving staged air downward initially improved low-NOx and high-burnout performance, but could lead to asymmetric flow-field patterns. The optimal staged-air location coefficient was found to be C-H = 0.75, achieving both symmetric flow-field patterns and satisfactory low NOx emissions with high burnout performance.
JOURNAL OF THE ENERGY INSTITUTE
(2021)
Article
Energy & Fuels
Xin Zhang, Zhichao Chen, Mingdi Zhang, Lingyan Zeng, Zhengqi Li
Summary: When burning coal for electricity generation under low load conditions, bituminous coal exhibits better combustion stability compared to anthracite, with shorter ignition distance, higher furnace temperature, and lower NOx emissions at the furnace exit.
Article
Environmental Sciences
Jiafei Qiao
Summary: In this study, a high-precision online real-time prediction model of boiler outlet NOx concentration was established based on an improved long short-term memory network (ILSTM). By analyzing the change rates of feature quantities, the model can predict the boiler outlet NOx concentration 22 seconds ahead of measurement with an accuracy of 96%.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Thermodynamics
Yanyu Qiao, Song Li, Xinjing Jing, Zhichao Chen, Subo Fan, Zhengqi Li
Summary: This study investigates the combustion characteristics of a retrofitted wall-fired boiler using anthracite as fuel. The results show that stable combustion of anthracite can be achieved at different loads. By adjusting the excess air coefficient and combustion system parameters, combustion efficiency can be improved and pollutant emissions reduced.
Article
Energy & Fuels
Bo Zhu, Bichen Shang, Xiao Guo, Chao Wu, Xiaoqiang Chen, Lingling Zhao
Summary: This study investigates the effects of operational parameters on NOx formation and its distribution in furnaces using numerical simulation. A full-scale three-dimensional physical model of a 600 MW supercritical opposed firing pulverized coal boiler is constructed and simulations are performed using Ansys Fluent software. The results show that NOx formation and concentration distribution are mainly influenced by the oxygen concentration and temperature in the furnace.
Article
Thermodynamics
Wenhua Liu, Mo Yang, Yuwen Zhang, Yubing Li, Xuchen Ying, Weijia Huang
Summary: Numerical investigations were conducted on an opposed-fired boiler to understand the formation and effects of asymmetric phenomenon on combustion characteristics. It was found that increased inlet Reynolds numbers led to the evolution from symmetry to asymmetry in the flow and temperature fields under symmetric combustion conditions. Nonlinearity was used to explain this phenomenon and three asymmetric combustion modes were proposed to optimize the flowfield. The final optimal combustion pattern addressed air stoichiometric ratio and reduction zone heights, resulting in improved combustion performance with reduced NOx emissions and carbon content in fly ash.
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
(2023)
Article
Energy & Fuels
Xin Zhang, Zhichao Chen, Guangfei Jiang, Lingyan Zeng, Zhengqi Li
Summary: The effects of central secondary air on the combustion characteristics of a down-fired boiler were studied through experiments. The results showed that reducing the supply of central secondary air can delay the ignition of the coal/air flow, allowing for a higher proportion of blending with bituminous coal.
Article
Thermodynamics
Yu Jiang, Byoung-Hwa Lee, Dong-Hun Oh, Chung-Hwan Jeon
Summary: Deep-air-staged combustion technology can reduce the formation of nitrogen oxides (NOX) in coal-fired boilers. This study used numerical simulations and experiments to investigate the effects of different air-staging configurations on flow field distribution, combustion characteristics, and NOX emissions in a boiler.
Article
Thermodynamics
Xin Zhang, Zhichao Chen, Liankai Li, Lingyan Zeng, Zhengqi Li
Summary: The study found that without over-fire air, a down-fired boiler can still achieve air-staging combustion when burning bituminous coal, leading to different combustion performance under different coal varieties.
COMBUSTION SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Physical
Tiantian Wang, Hai Zhang, Yang Zhang, Hongjian Wang, Junfu Lyu, Guangxi Yue
Summary: Hydrogen-enriched natural gas (HENG) is a promising low-carbon fuel for the industry. This study evaluates the thermal and emission performances of a large-scale industrial steam boiler fueled with HENG and proposes different operation scenarios. The results show that the trade-off between thermal efficiency and NOx emission should be carefully considered when applying HENG to industrial steam boilers.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
He Du, Zhengqi Li, Zheng Liu, Mingdi Zhang, Chunchao Huang, Guangfei Jiang, Zhichao Chen, Jian Song, Fan Fang, Jianjun Su, Haibing Liu
Summary: A novel low-load stable combustion technology was proposed in this study, which involves arranging the oil secondary air flow parallel to the fuel-rich coal/air flow for pulverized coal combustion during boiler operation. Industrial measurements demonstrated the stable operation of the boiler at low loads without oil support, achieving high efficiency and low NOx emissions.
Article
Thermodynamics
Zixiang Li, Xinqi Qiao, Zhengqing Miao
Summary: The ACMA burner arrangement scheme shows superior performance over traditional WTFB, with improved combustion behavior and emission characteristics under low load conditions.
Article
Green & Sustainable Science & Technology
Zhi Wang, Xianyong Peng, Shengxian Cao, Huaichun Zhou, Siyuan Fan, Kuangyu Li, Wenbo Huang
Summary: The study focuses on the selective catalytic reduction (SCR) denitrification efficiency of coal-fired boilers. Accurate predictions of NOx emissions at the SCR inlet can improve denitrification efficiency. Deep learning, random forest (RF) algorithm, and lightweight convolutional neural network (CNN) were used to develop a prediction approach. The experimental results showed that the proposed method reduced model complexity while ensuring prediction accuracy, making it suitable for online optimization of industrial pollutant control and cleaner production.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Lun Ma, Anli Zhou, Qingyan Fang, Cheng Zhang, Yuan Li, Xinping Zhao, Rui Mao, Liming Ren
Summary: A comprehensive study was conducted on the combustion characteristics, slagging potential, and NOx emissions of cofiring coal slime and anthracite in a 600MW down-fired utility boiler. The results showed that there are combustion interactions between the two fuels, with the inhibitive effect being greater than the promotive effect when the blending ratio of coal slime is above 5%. The addition of coal slime effectively improves the ash fusion temperature of blended samples.
JOURNAL OF ENERGY ENGINEERING
(2023)
Article
Energy & Fuels
Peng Tan, Lun Ma, Qingyan Fang, Cheng Zhang, Gang Chen
Article
Energy & Fuels
Changya Deng, Cheng Zhang, Peng Tan, Qingyan Fang, Gang Chen
Article
Thermodynamics
Peng Tan, Ji Xia, Cheng Zhang, Qingyan Fang, Gang Chen
Article
Energy & Fuels
Xiaofei Feng, Cheng Zhang, Peng Tan, Xiaopei Zhang, Qingyan Fang, Gang Chen
Article
Engineering, Chemical
Peng Tan, Cheng Zhang, Ji Xia, Qingyan Fang, Gang Chen
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
(2016)
Article
Thermodynamics
Peng Tan, Lun Ma, Ji Xia, Qingyan Fang, Cheng Zhang, Gang Chen
Article
Energy & Fuels
Peng Tan, Dengfeng Tian, Qingyan Fang, Lun Ma, Cheng Zhang, Gang Chen, Lijin Zhong, Honggang Zhang
Article
Thermodynamics
Peng Tan, Qingyan Fang, Sinan Zhao, Chungen Yin, Cheng Zhang, Haibo Zhao, Gang Chen
APPLIED THERMAL ENGINEERING
(2018)
Article
Engineering, Environmental
Xin Li, Cheng Zhang, Xiaopei Zhang, Wei Li, Peng Tan, Lun Ma, Qingyan Fang, Gang Chen
CHEMICAL ENGINEERING JOURNAL
(2018)
Article
Chemistry, Applied
Xiao-Pei Zhang, Cheng Zhang, Peng Tan, Xin Li, Qing-Yan Fang, Gang Chen
FUEL PROCESSING TECHNOLOGY
(2018)
Article
Chemistry, Applied
Xiao-Pei Zhang, Cheng Zhang, Xin Li, Sheng-Hui Yu, Peng Tan, Qing-Yan Fang, Gang Chen
FUEL PROCESSING TECHNOLOGY
(2018)
Article
Thermodynamics
Peng Tan, Biao He, Cheng Zhang, Debei Rao, Shengnan Li, Qingyan Fang, Gang Chen
Article
Automation & Control Systems
Hengyi Zhu, Peng Tan, Ziqian He, Lun Ma, Cheng Zhang, Qingyan Fang, Gang Chen
Summary: With the increase in new energy generation, the flexibility of coal-fired power plants is urgently needed. However, the flexibility of double-reheat ultra-supercritical units is limited due to steam temperature fluctuations. A data-driven LSTM method was used to model steam temperatures in a coal-fired boiler, and an advanced controller combining LSTM-based dynamic model and model predictive control was proposed. The results showed that the LSTM model accurately captured the steam temperature dynamics and the proposed controller effectively regulated steam temperature fluctuations. This method has the potential to improve the flexibility of double-reheat ultra-supercritical units.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Chemistry, Applied
Wei Li, Cheng Zhang, Xin Li, Peng Tan, Anli Zhou, Qingyan Fang, Gang Chen
CHINESE JOURNAL OF CATALYSIS
(2018)
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.