4.8 Article

A kinetic study of NO formation during oxy-fuel combustion of pyridine

Journal

APPLIED ENERGY
Volume 92, Issue -, Pages 361-368

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2011.11.039

Keywords

Pyridine; Oxy-fuel; Nitric oxide; Kinetic modeling

Funding

  1. National Natural Science Foundation of China [51076052, 50976038, 50976043, 50806025]
  2. key technology R&D program in Wuhan City [201060723314]

Ask authors/readers for more resources

In this work, pyridine-N was converted into NO and N-2 by using a flow reactor and the dominant NO evolution pathways were identified by means of a kinetic modeling under O-2/CO2 atmosphere in temperature range of 1073-1473 K for different stoichiometries. The experimental results indicated higher temperatures promoted the formation of NO, with conversions varied from 1.26-18.64% to 3.85-43% for fuel-rich and fuel-lean conditions respectively. As for N2 formation, conversion of pyridine to N-2 had a slight increase from 1073 to 1173 K then declined rapidly in oxidizing atmosphere, whereas this conversion stabilized at about 36% before decreasing to 29% above 1173 Kin the presence of insufficient O-2. Increasing the equivalence ratio led to a monotonic increase of NO in both O-2/Ar and O-2/CO2 atmospheres, and the gap between these atmospheres developed with a. The simulation results showed that the high CO2 concentration reduced the availability of oxygen thus altered the evolution of NO through promoting reaction HNO + M <-> H + NO + M and limiting reaction HNO + O-2 <-> HO2 + NO. This was even more important at higher temperatures. Besides, the major pathways for NO consumption were taken through reaction with NCO and NH as intermediates. In general, the model of Terasa09 described the experimental trends well, and this combustion kinetic was applicable to oxy-fuel conditions. (C) 2011 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Physical

A thermal-assisted electrochemical strategy to synthesize carbon dots with bimodal photoluminescence emission

Qingqiang Ran, Xuepeng Wang, Peng Ling, Peiwen Yan, Jun Xu, Long Jiang, Yi Wang, Sheng Su, Song Hu, Jun Xiang

Summary: A novel thermal-assisted electrochemical strategy is reported for preparing bimodal emissive carbon dots (B-CDs) from low-cost carbon sources, including graphite and raw coal. The as-prepared B-CDs exhibit bimodal photoluminescence (PL) emission at 415 and 510 nm under single-wavelength excitation. The origin of the bimodal emissive characteristics of the B-CDs was investigated, and a ratiometric PL nanoprobe was developed for pH sensing.

CARBON (2022)

Article Engineering, Chemical

Insights into the slagging process during the utilization of food waste: Ash-making temperature and additives

Mengxia Qing, Yutian Long, Yidong Luo, Ziying Luo, Wenhao Li, Hong Tian, Yanshan Yin, Jinqiao He, Liang Liu, Jun Xiang

Summary: Effective slagging is crucial for FW gasification, and this study focuses on the regulation of temperature and wheat straw to improve ash fusion characteristics. The addition of wheat straw can effectively decrease the ash fusion temperatures and enhance the slagging process.

CHEMICAL ENGINEERING SCIENCE (2022)

Article Thermodynamics

Insights into the interaction between NO and char(N) containing different functional forms: Mechanistic, thermodynamic and kinetic studies

Yi-Feng Chen, Sheng Su, Ya-Wei Song, Tao Liu, Zhong-Hui Wang, Tao Shu, Meng-Xia Qing, Yi Wang, Song Hu, Zhong-Xiao Zhang, Jun Xiang

Summary: The study uses density functional theory to investigate the interaction mechanism between NO and char(N) with different functional forms of nitrogen, finding that char(N-5) plays a key role in reducing NO emissions. The electron donation capability of char(N-5) is higher than other forms of char(N), making it an important contributor in reducing NOx emissions.

COMBUSTION AND FLAME (2022)

Article Energy & Fuels

Effects of CaO-Fe2O3-Fe3(PO4)2 in sewage sludge on combustion characteristics and kinetics of coal slime

Yanlin Wang, Li Jia, Liu Zhang, Xin Zheng, Jun Xiang, Yan Jin

Summary: The co-combustion of sewage sludge and coal slime is a promising method for the harmless disposal of these two solid wastes. The minerals in sewage sludge have significant effects on the combustion of coal slime during co-combustion. Both single and composite minerals have influences on the combustion of coal slime, and the composite minerals can synergistically catalyze the combustion. The kinetic results show that the minerals decrease the apparent activation energy of coal slime during fixed carbon combustion.
Article Energy & Fuels

Effects of inorganic sodium on the combustion characteristics of Zhundong coal with fast-heating rate

Yawei Song, Yifeng Chen, Sheng Su, Hao Tang, Hengda Han, Jun Xu, Long Jiang, Mengxia Qing, Yi Wang, Song Hu, Jun Xiang

Summary: The combustion characteristics of acid-washed and inorganic sodium impregnated coals were studied under different heating rates, and it was found that inorganic sodium inhibits coal combustion in the early stage, but promotes it in the later stage.
Article Thermodynamics

Study on CO2 adsorption capacity and kinetic mechanism of CO2 adsorbent prepared from fly ash

Baihe Guo, Jingchao Zhang, Yanlin Wang, Xiaolei Qiao, Jun Xiang, Yan Jin

Summary: The use of fly ash to prepare aerogel support for CO2 adsorption was studied. The results showed that the aerogel support made from fly ash had good microscopic properties and achieved high adsorption capacity under certain conditions.

ENERGY (2023)

Review Energy & Fuels

A study on the release characteristics and formation mechanism of SO2 during co-combustion of sewage sludge and coal slime

Xin Wang, Jun Xu, Peng Ling, Xiaoxue An, Hengda Han, Yifeng Chen, Long Jiang, Yi Wang, Sheng Su, Song Hu, Jun Xiang

Summary: This study investigated the characteristics of sewage sludge and coal slime combustion, finding that co-combustion had a positive effect on desulfurization. Proper blend ratios and temperatures could effectively suppress the emission of SO2. The evolution of S functional groups showed different patterns during co-combustion. Calcium played an important role in the process, reacting with SO2 to form intermediate solid products and retaining SO2 in the ash.
Article Energy & Fuels

Thermal behavior, synergistic effect and thermodynamic parameter evaluations of biomass/plastics co-pyrolysis in a concentrating photothermal TGA

Abdulmajid Abdullahi Shagali, Song Hu, Hanjian Li, Huanying Chi, Haoran Qing, Jun Xu, Long Jiang, Yi Wang, Sheng Su, Jun Xiang

Summary: The heating rate has a significant impact on the pyrolysis process, especially for reactions involving the co-pyrolysis of biomass and plastic. The synergistic effects of the blend samples are concentrated in the main decomposition region, and the co-pyrolysis process requires less activation energy compared to the pyrolysis of plastic alone.
Article Thermodynamics

Performance assessment and system optimization on supercritical CO2 double-path recompression coal-fired combined heat and power plants with MEA-based post-combustion CO2 capture

Jing Zhou, Meng Zhu, Lei Chen, Qiangqiang Ren, Sheng Su, Song Hu, Yi Wang, Jun Xiang

Summary: This study aims to construct the performance analysis and system optimization methods of supercritical CO2 (S-CO2) coal-fired CHP plants with MEA-based post-combustion carbon capture and storage (CCS) that has adapted for various S-CO2 CHP cycles. Results show that exergy efficiency of S-CO2 DPR coal-fired CHP units at 0% and 100% heating loads (HL) are 43.22% and 46.21%, increasing by 9.81% and 1.01% compared with S-CO2 recompression CHP units, respectively.

ENERGY (2023)

Review Chemistry, Physical

A review on gasification of municipal solid waste (MSW): Syngas production, tar formation, mineral transformation and industrial challenges

Ben Wang, Rajender Gupta, Lei Bei, Qianmin Wan, Lushi Sun

Summary: This review provides an overview of research progress related to syngas quality, tar formation, and minerals transformation. It also describes the current technology under construction and commercial applications, as well as the challenges and prospects for commercial operation. The study highlights the importance of temperature, gasification agents, and steam to MSW ratio in syngas production, and discusses the different forms of tar in various atmospheres. The review also emphasizes the need for efficient catalysts, proper management of heavy metals, and the reduction of investment and operational costs.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2023)

Article Chemistry, Physical

Hydrodeoxygenation of Bio-Oil over an Enhanced Interfacial Catalysis of Microemulsions Stabilized by Amphiphilic Solid Particles

Kuan Du, Beichen Yu, Yimin Xiong, Long Jiang, Jun Xu, Yi Wang, Sheng Su, Song Hu, Jun Xiang

Summary: Bio-oil emulsions were stabilized using solid emulsifiers such as coconut shell coke, modified amphiphilic graphene oxide, and hydrophobic nano-fumed silica. The stability of the emulsions was influenced by the particles used. The emulsion stabilized by Ni/SiO2 showed potential for catalytic hydrodeoxygenation of bio-oil, inhibiting the polymerization reaction and promoting the conversion of phenolic compounds.

CATALYSTS (2023)

Article Engineering, Chemical

Waste Biomass Based Carbon Aerogels Prepared by Hydrothermal-carbonization and Their Ethanol Cracking Performance for H2 Production

Jialin Zhang, Song Hu, Yong Ding, Rui Huang, Qiangqiang Ren, Sheng Su, Yi Wang, Long Jiang, Jun Xu, Jun Xiang

Summary: In this study, a hydrothermal-carbonization method was utilized to process waste biomass, resulting in the production of high-value carbon aerogels. The banana peel-based carbon aerogel showed the best performance in ethanol cracking, achieving a hydrogen yield of 41.86%. The enhanced ethanol cracking was attributed to the abundant pores in the carbon aerogel, which extended the residence time, and the presence of inorganic components (such as Ca, Mg, and K) on the surface of the aerogel, which promoted bond-breaking and reorganization in ethanol.

PROCESSES (2023)

Review Engineering, Chemical

Review of Emission Characteristics and Purification Methods of Volatile Organic Compounds (VOCs) in Cooking Oil Fume

Chong Tao, Limo He, Xuechen Zhou, Hanjian Li, Qiangqiang Ren, Hengda Han, Song Hu, Sheng Su, Yi Wang, Jun Xiang

Summary: This review discusses the characteristics and removal methods of volatile organic compounds (VOCs) in cooking oil fumes. The emission characteristics are influenced by cooking temperatures, cooking oils, and cuisines. Various purification methods, such as physical capture, chemical decomposition, and combination methods, are compared based on VOC removal rate, operability, secondary pollution, application area, and cost. The catalytic combustion method, particularly with noble metal and non-noble metal catalysts, shows high efficiency, environmental friendliness, and low cost.

PROCESSES (2023)

Article Engineering, Environmental

Depth investigation of the regulation mechanism of SiO2 on the denitrification performance and sulfur resistance of MnCe/Ti SCR catalyst

Mengxia Qing, Linlin Zhang, Liang Liu, Yaxin Chen, Yunda Su, Sheng Su, Song Hu, Yi Wang, Jun Xiang

Summary: SiO2 doping improves the de-NOx activity of MnCe/Ti catalysts at high temperatures and enhances their sulfur resistance at wide temperatures.

CHEMICAL ENGINEERING JOURNAL (2023)

Article Environmental Sciences

Performance and mechanisms of iron/copper-doped zirconium-based catalyst containing hydroxyl radicals for enhanced removal of gaseous benzene

Siyuan Lei, Zhaohui Du, Yujia Song, Tingting Zhang, Ben Wang, Changsong Zhou, Lushi Sun

Summary: Novel copper-doped zirconium-based MOF (UIO-66) and copper-doped iron-based UIO-66 catalysts were prepared to improve the removal performance of gaseous benzene. The catalysts were characterized using various techniques, and it was found that the bimetal Cu/Fe modification had a positive effect on the morphology of the catalyst particles. The factors of different metal loading, dose of H2O2, and reaction temperature were studied, and it was observed that Cu-1.5/Fe-1.5@UIO-66 achieved the highest benzene removal efficiency of 94.6%. The study also provided insights into the activation mechanism of the catalyst and its potential application in treating benzene pollutants in waste gases.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Energy & Fuels

Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Evaluation method for the availability of solar energy resources in road areas before route corridor planning

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Impacts of PTL coating gaps on cell performance for PEM water electrolyzer

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

The establishment of evaluation systems and an index for energy superpower

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A model-based study of the evolution of gravel layer permeability under the synergistic blockage effect of sand particle transport and secondary hydrate formation

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Enhancement of hydrogen production via optimizing micro-structures of electrolyzer on a microfluidic platform

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Archery-inspired catapult mechanism with controllable energy release for efficient ultralow-frequency energy harvesting

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Capacity fade prediction for vanadium redox flow batteries during long-term operations

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings

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.

APPLIED ENERGY (2024)