Article
Thermodynamics
Hasan Merdun, Zakari Boubacar Laouge, Asli Seyhan Ciggin
Summary: The study revealed the mutual influence between sewage sludge and lignite coal blends in pyrolysis and combustion processes, with the purity and composition of the mixtures impacting reaction temperatures and residues. Different blend ratios showed variations in suitability for bioenergy production.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Environmental
Rui Mao, Jiugang Shao, Guangwei Wang, Fei Wang, Chuan Wang
Summary: The co-combustion reactivity and kinetics of petroleum coke (PC) and paper sludge-derived hydrochar (PS) were studied. It was found that the combustion reactivity of PS was higher than that of PC due to its high volatile content, developed pore structure, and low carbon-order degree. The addition of PS improved the ignition property of the blends, but had little effect on burnout temperature and combustion intensity.
Article
Thermodynamics
Yucheng Kuang, Boshu He, Chaojun Wang, Wenxiao Tong, Di He
Summary: In MILD combustion, the oxidant is diluted by recirculated flue gas, leading to significant differences in combustion characteristics compared to conventional combustion. Thermogravimetric analysis shows that pulverized coal has a higher burnout temperature under low oxygen concentrations, but increasing the heating rate or using CO2 instead of N-2 can improve combustibility. In O-2/CO2 atmosphere, the high heating rate may increase coal gasification contribution due to low oxygen concentration and high burnout temperature. Additionally, the Coats-Redfern method calculates the kinetic parameters of pulverized coal MILD combustion, with activation energy ranging from 27.22 kJ/mol to 162.53 kJ/mol.
THERMOCHIMICA ACTA
(2021)
Article
Engineering, Chemical
Rui Wang, Xianglei Song, Shanjian Liu, Zhuwei Liu
Summary: This paper investigates the co-combustion behavior of walnut shell, biochar, and coal, and their binary and ternary blends. The presence of walnut shell improves the combustion performance of coal and biochar.
Article
Energy & Fuels
Madiyar Aidabulov, Daulet Zhakupov, Khabiba Zhunussova, Aknur Temireyeva, Dhawal Shah, Yerbol Sarbassov
Summary: This study analyzed the thermochemical properties of sewage sludge and conducted experiments on the co-combustion of sewage sludge and coal. The results showed that the calorific value of the sludge sample was comparable to that of coal samples, and there were differences in NOx emissions between mono-combustion and co-combustion processes. The findings of this study are valuable for developing sustainable disposal methods for municipal sewage sludge.
Article
Thermodynamics
Yanlin Wang, Li Jia, Jinrong Guo, Biru Wang, Liu Zhang, Jun Xiang, Yan Jin
Summary: The combustion behaviors of municipal sewage sludge (SS), coal slime (CS) and their blends were studied, revealing significant interactions between SS and CS. SS improves ignition performance, while CS enhances activity in high temperature zones and improves slagging characteristics. The optimum synergy occurs at a 40% CS ratio, reducing the apparent activation energy of SS.
THERMOCHIMICA ACTA
(2021)
Article
Engineering, Chemical
Chaojun Wen, Junlin Lu, Xiaoqing Lin, Yuxuan Ying, Yunfeng Ma, Hong Yu, Wenxin Yu, Qunxing Huang, Xiaodong Li, Jianhua Yan, Raymond Cecil Everson
Summary: The study found that as the sludge content increases, combustion becomes more difficult but ignition becomes faster. By using temperature curves and image segmentation to extract DTG curves, the study successfully predicted DTG curves for different blends with an accuracy of 99.7%.
Article
Energy & Fuels
Mingqiu Wu, Haitao Li, Liang Wang, Shan Feng, Yu Wang, Ning Yang, Kai Wang, Minggao Yu
Summary: This study investigates the combustion characteristics, interaction, combustion reaction model, and kinetic parameters of coal/gangue co-combustion. The results reveal the effects of different mixing ratios on the combustion behavior and establish a predictive model for co-combustion.
Article
Energy & Fuels
Tong Xu, Dikun Hong, Chunbo Wang, Yue Zhang, Yonghua Li
Summary: This study investigated the migration behavior and mechanism of nitrogen during the municipal sludge/coal co-pyrolysis using the ReaxFF MD method. The accuracy of this method was verified by comparing the individual pyrolysis properties of sludge and coal with experimental results. It was found that there was a negative synergistic effect on the release of nitrogen during the initial stage of co-pyrolysis, while a positive synergy related to the condensation of nitrogen-containing tar was observed during the secondary reaction stage. The study provides important insights into the behavior of nitrogen during sludge/coal co-pyrolysis.
Article
Thermodynamics
Ziyi Wang, Zhiqiang Gong, Zhenbo Wang, Zhiwei Chu, Xiaoyu Li, Jinhui Wu
Summary: This study compared the gasification characteristics of two typical oily sludge in a CO2 atmosphere and found slight differences in their thermal conversion temperatures and gasification reaction difficulties. The gasification products primarily consisted of H-2 and CO, with their output being significantly influenced by temperature.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Energy & Fuels
Ye Yuan, Yong He, Jiaxin Tan, Yongmeng Wang, Sunel Kumar, Zhihua Wang
Summary: This study investigated the co-combustion characteristics of coal and biomass blends using thermogravimetric analysis and found that increasing the biomass percentage improved combustion performance. A 20% blending ratio was identified as the optimal percentage for co-utilization of coal-biomass blends.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Li ShuChen, Niu ShengLi, Han KuiHua, Li YingJie, Wang YongZheng, Lu ChunMei
Summary: The co-combustion characteristics of oily sludge and ginkgo leaves in an oxy-fuel atmosphere were studied using thermogravimetric analysis coupled with an artificial neural network. It was found that the combustion characteristics of blends improved with an increase in the ginkgo leaves mass ratio, and the interaction between the two solid combustibles showed a complex nonlinear relationship at different stages. Activation energy of the blends increased with higher oxygen concentration in different atmospheres, and the backpropagation neural network outperformed the radial basis function in predicting the combustion curve of the blends.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Energy & Fuels
Xin Wang, Weidong Fan, Jun Chen, Guanyu Feng, Xiang Zhang
Summary: Ammonia is considered as an alternative energy source with high utilization potential due to its carbon-free and hydrogen-rich properties. Ammonia/coal co-firing can effectively reduce CO2 emissions and control NO emissions, with a recommended co-firing ratio of 20-30% ammonia. Ammonia co-firing promotes coal gasification reactions, increases CO concentration, inhibits H2S release, and enhances the decomposition process.
Article
Engineering, Environmental
Feiyue Gao, Chuncai Zhou, Jiao Du, Yulin Zhang, Wentao Wu, Guijian Liu, Da Li
Summary: Co-combustion of sewage sludge and coal is an effective way to generate energy and reduce environmental pollution. Oxy-fuel combustion technology improves energy efficiency and CO2 capture in power plants. The thermogravimetric analysis of co-combustion of sewage sludge and anthracite coal in different atmospheres revealed improvements in ignition and burnout performance by adding sewage sludge, as well as changes in properties with varying oxygen concentrations.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Kamogelo P. Keboletse, Freeman Ntuli, Oluseyi P. Oladijo, Thato Mongalenyane, Gunvor M. Kirkelund, Ana T. Lima
Summary: Botswana coal within the Karoo Basin has been overlooked due to limited data. Previous researches have relied on data for South African coal, neglecting the heterogeneity of coal properties. Therefore, studying the combustion characteristics and reactivity of Botswana coal is crucial.
NATURAL RESOURCES RESEARCH
(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.