Article
Chemistry, Multidisciplinary
Yimeng Zhang, Huanhuan Ma, Dengyu Chen, Jianbin Zhou
Summary: Biomass gasification polygeneration technology improves biomass utilization efficiency by preactivating gasified carbon, leading to production of high value-added activated carbon with clean heating. This technology also demonstrates significant environmental benefits and achieves negative CO2 emissions, while providing more economic benefits compared to coal and natural gas heating projects.
Article
Chemistry, Physical
Mehdi Faraji, Majid Saidi
Summary: In this study, a detailed steady-state equilibrium simulation model was developed to analyze and evaluate the efficiency of the groundnut shell biomass air gasification process. Sensitivity analysis was conducted to investigate the effects of different operating parameters on the syngas composition and H2/CO ratio. The findings showed that temperature, pressure, and equivalence ratio significantly influenced the gas composition, with higher temperature favoring H2 and CO production, increased pressure favoring CO2 and CH4 production, and higher equivalence ratio enhancing CO and CO2 yield.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Wentao Liu, Ye Tian, Hui Yan, Xiong Zhou, Yu Tan, Yu Yang, Zheng Li, Liang Yuan
Summary: A steady-state Aspen Plus model was used to study biomass gasification using air as gasification agent. The model accurately predicted product yield, gasifier performance, and syngas composition, with effects of temperature and oxygen content on gasification characteristics discussed. Higher oxygen ratio was found to lead to higher H-2 production and lower tar yield.
BIOMASS CONVERSION AND BIOREFINERY
(2021)
Article
Energy & Fuels
Zuocai Dai, Zhengxian Chen, Abdellatif Selmi, Kittisak Jermsittiparsert, Nebojsa M. Denic, Zoran Nesic
Summary: The study developed a machine learning model for predicting the higher heating values of biomass based on proximate analysis. The input variables' influence on the higher heating value was determined based on prediction accuracy. Results showed that volatile matter had the highest correlation coefficient, while ash had the smallest relevance on the higher heating value of biomass.
BIOMASS CONVERSION AND BIOREFINERY
(2021)
Article
Thermodynamics
Bhoopendra Pandey, Pratik N. Sheth, Yogesh K. Prajapati
Summary: Using CO2 as a gasifying agent in biomass gasification can increase the CO content and heating value of the producer gas, but it reduces the average temperature in the gasifier.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Luis Ruivo, Hortencia Oliveira, Helena Gomes, Nuno Cruz, Aleksey Yaremchenko, Jorge Frade, Luis A. C. Tarelho
Summary: This study proposes the use of granulated siderite/concrete-based catalysts for biomass steam gasification, aiming to enrich H-2 by water gas shift and CO2 adsorption. The impact of reaction temperature, concrete/siderite ratio, and steam to carbon molar ratio on H-2 promotion is investigated. The catalyst shows high activity when integrated into a bubbling fluidized bed gasifier. However, repeated cycles of regeneration result in a gradual decrease in activity.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Biochemistry & Molecular Biology
Babak Aghel, Salah I. I. Yahya, Abbas Rezaei, Falah Alobaid
Summary: This study used the Elman recurrent neural network (ENN) to predict the higher heating value (HHV) of different biomass samples based on ultimate and proximate compositional analyses. After optimization, the ENN model showed the highest prediction and generalization accuracy, and provided a clear understanding of the dependency of HHV on various components of biomass feedstocks.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Energy & Fuels
Yury Maksimuk, Zoya Antonava, Vladimir Krouk, Alina Korsakova, Vera Kursevich
Summary: Experimental determination of HHV, as well as various carbon, hydrogen, sulphur, nitrogen, chlorine, ash, lignin and extractives contents in different samples, was conducted. Recommendations for HHV of cellulose, hemicellulose, lignin, and extractives for different types of biomass were made. Through analysis, two equations were proposed for predicting biomass HHV based on lignin and carbon contents with an error no worse than 2.7%.
Article
Energy & Fuels
Maria Margarida Mateus, Joao Moura Bordado, Rui Galhano dos Santos
Summary: This study developed a model based on a dataset of 54 samples to correlate carbon, hydrogen, and oxygen content with HHV for biomass conversion into liquid fuels. The model was compared with others in literature and validated with nine samples, showing excellent prediction accuracy. The model demonstrated good precision and performance with a low absolute bias error of 0.01% and absolute average error of 1.48%.
Article
Energy & Fuels
Qijia Guo, Rui Li, Guangyuan Yang, Yan Liu, Qingdong Deng, Zhaochang He
Summary: A small-scale oxygen-enriched entrained flow biomass gasifier was developed with a non-thermal arc plasma torch and stainless steel bellows. The characteristics of the non-thermal arc plasma were diagnosed, and the effects of oxygen concentration and bellows length on the gasification process were studied. Increasing the oxygen concentration and using longer bellows improved cold gas efficiency, carbon conversion efficiency, and yields of H2 and CO. The gasifier achieved a cold gas efficiency of 65.8% at a bellows length of 500 mm and oxygen concentration of 34.7%, with an energy efficiency of 60.5% due to low auxiliary energy consumption. The non-thermal arc plasma assisted the entrained flow gasification by converting part of the feedstock into activated reactants.
Article
Green & Sustainable Science & Technology
Lijun Wang, Xiaocheng Du, Junqi Chen, Zhonggang Wu
Summary: This paper studied the integrated characteristics of a fluidized bed combining a distributed entrained flow bed in a new reactor, and the oxygen enriched gasification performance of biomass in the integrated reactor numerically based on experiments. The results show that oxygen-carbon mass ratio and oxygen concentration of gasification agent significantly affect the syngas composition in the integrated reactor.
Article
Energy & Fuels
Yuxin Wang, Ryo Yoshiie, Yasuaki Ueki, Ichiro Naruse
Summary: To promote the development of a hydrogen society in Japan, a small-scale auto-thermal packed-bed gasifier using oxygen-enriched air was proposed to utilize the by-product oxygen produced by regional distributed water electrolysis plant. The feasibility of the scheme was verified by assessing various parameters such as packed-bed height, temperature distribution, syngas concentration, lower heating value (LHV) of syngas, tar content, cold gas efficiency (CGE), and carbon conversion. The results showed that increasing the oxygen concentration from 21% to 25% led to improvements in LHV, tar content, and CGE, which can be attributed to the weakened N2 dilution and increased temperature.
Article
Biotechnology & Applied Microbiology
Iara Barbosa Magalhaes, Alexia Saleme Aona de Paula Pereira, Thiago Abrantes Silva, Natalia dos Santos Renato
Summary: This study proposed equations to predict the higher heating value (HHV) of microalgae biomass based on proximate and ultimate analysis. The equation combining these analyses showed the highest statistical fit and accuracy.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2022)
Article
Energy & Fuels
Yuning Chen, Li Feng
Summary: This research presents and examines a combined energy system that integrates a gas turbine cycle, a supercritical CO2 cycle, and a Stirling engine. The study aims to maximize the energy and exergy utilization from biomass inputs by adding other systems and components to the system. The analysis of the system is based on energy, exergy, and economic analyses, and multi-objective optimization is used to determine the best operating conditions considering both thermodynamic and economic factors.
Article
Engineering, Chemical
Jan A. Stasiek, Jacek Baranski, Marcin Jewartowski, Jan Wajs
Summary: The research focuses on the development of a new technological process for the thermochemical conversion of biomass and communal waste, aiming for higher thermal efficiency and lower emission of harmful compounds.
Article
Energy & Fuels
Siva Sankar Thanapal, Wei Chen, Kalyan Annamalai, Nicholas Carlin, Robert James Ansley, Devesh Ranjan
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.