Article
Energy & Fuels
Armin Siegrist, Gillianne Bowman, Vanessa Burg
Summary: This study introduces a GIS-based approach for the spatial assessment of agricultural biogas production, considering factors such as legislation, biomass availability, transport, and energy distribution. The study identifies spatial criteria through literature review and expert knowledge, and develops quantitative GIS methods to identify suitable areas for biogas production. The findings show that biogas production potentials vary depending on legal, economic, and technological factors, and suggest the importance of biomass utilization, plant efficiency, and optimal energy utilization for optimizing GHG efficiency.
Article
Economics
Yvan Ayuketah, Samuel Gyamfi, Felix Amankwah Diawuo, Athanasios S. Dagoumas
Summary: In an effort to tackle power sector issues and meet its developmental goals, Cameroon has implemented various policies and masterplans. However, these policies have not had the desired impact, resulting in persisting issues and the country falling short of its milestones. This research examines the implications of stated and clean energy policies on Cameroon's future electricity generation system, highlighting the need for increased renewable energy targets to achieve economic and emission savings.
Article
Environmental Sciences
D. R. Johnson, S. Sun, A. K. Huang, T. W. Hertel
Summary: This study analyzes the costs associated with reducing greenhouse gas emissions by co-firing corn stover with coal in 71 coal-fired power plants in the Midwest USA. It found that lower abatement costs are primarily linked to higher co-firing rates and higher estimated coal unit costs, while local corn yield and collection radius have minimal impact on abatement costs across different power plants. The study advances understanding of the variability in abatement costs by modeling feasible production scenarios using actual data.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2022)
Article
Thermodynamics
Zhen Qin, Yuting Tang, Zaoxiao Zhang, Xiaoqian Ma
Summary: This study evaluates the integration of renewable energy with fossil fuels for chemical production, specifically looking at the effects on the performance of coal-based methanol and power poly-generation process. The results indicate that while adding biomass can reduce GHG emissions, it may also have negative impacts on energy efficiency and cost performance. Additionally, the addition of solar-based hydrogen can improve carbon utilization rate but may worsen energy efficiency and economy.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Shamsoddin Ghiami, Navid Khallaghi, Tohid N. Borhani
Summary: The biomass oxy-co-firing technology is considered promising, with net power efficiencies ranging from 42.6% to 45.5%. Economic assessment indicates that increasing biomass flowrate leads to higher costs, while biomass priced at 80 euros/tdry shows competitive advantages.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Rongwei Sun, Tingting Liu, Xudong Chen, Liming Yao
Summary: This paper proposes a bi-level programming approach to seek an optimal biomass-coal co-firing method under a carbon emissions allowance allocation scheme for low-carbon power generation. The optimization method fully considers the hierarchy of multiple decision makers and environmental-economic equilibrium for global optimization. The analysis indicates that power plants with lower biomass utilization are more sensitive to carbon emissions constraints, and relaxed constraints could encourage biomass utilization but strict constraints may have adverse effects on economic development.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Fritz T. C. Ronen, Nikolas Schone, Uwe Bau, Markus A. Reuter, Manuel Dahmen, Andre Bardow
Summary: This study explores the potential of using Power-to-Hydrogen technology to reduce carbon emissions in copper production, and analyzes the implementation costs and benefits under the current techno-economic conditions in Germany. The results show that with future technological developments and increasing greenhouse gas emission certificate prices, the application of Power-to-Hydrogen technology in copper production may become more cost-effective and environmentally beneficial.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Wenyu Mo, Kuan Du, Yi Sun, Minruo Guo, Chao Zhou, Mo You, Jun Xu, Long Jiang, Yi Wang, Sheng Su, Song Hu, Jun Xiang
Summary: This study conducted an analysis on direct co-firing and pyrolysis co-firing systems in a typical 600 MW coal-fired power plant in China. The performance of different biomass sources and co-firing ratios were assessed in terms of technological, environmental, and economic dimensions. The findings showed that pyrolysis co-firing had lower thermal and exergy efficiency compared to direct co-firing, with sawdust having the smallest impact on boiler efficiency. The study also discussed different feeding methods and proposed the economic feasibility of both co-firing systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Hao Peng, Zichen Di, Pan Gong, Fengling Yang, Fangqin Cheng
Summary: A novel double chemical looping process is proposed for the co-production of high purity hydrogen and carbon monoxide. The system achieves high efficiency and economic competitiveness, making it a promising method for hydrogen production.
GREEN ENERGY & ENVIRONMENT
(2023)
Article
Chemistry, Applied
Fan Hu, Pengfei Li, Tai Zhang, Feifei Wang, Pengfei Cheng, Yaowei Liu, Guodong Shi, Zhaohui Liu
Summary: This study experimentally investigates the performance of a sawdust and bituminous coal blend under MILD combustion conditions and measures the PM2.5 emissions. The results show that MILD combustion of the blend can reduce fuel-NO emissions by at least 45.5% compared to conventional swirl flame combustion. Additionally, the PM2.5 emissions are decreased by over 37%. The findings suggest that MILD combustion is an effective method to utilize biomass fuel blends on a large scale.
FUEL PROCESSING TECHNOLOGY
(2022)
Article
Energy & Fuels
Weiwei Wang
Summary: Using a partial equilibrium model and life cycle assessment, we examined the economic potential and greenhouse gas (GHG) effects of biomass co-firing for electricity generation in China's Jiangsu Province. Our findings suggest that residue-based biomass, priced between USD 50 and USD 100/MT, can be economically viable for co-firing in coal-based power plants, achieving significant GHG savings.
Article
Engineering, Environmental
David Quiroz, Jonah M. Greene, Braden J. Limb, Jason C. Quinn
Summary: This study uses validated biophysical and sustainability modeling to identify the optimal global productivity potential, environmental impacts, and economic viability of algal biofuels.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Chemical
Yuxing Tang, Zhongyang Luo, Chunjiang Yu
Summary: The C-14 method is used to determine the proportion of carbon derived from biomass and fossil fuel in co-fired flue gas, with accuracy limited by deviations between reference and virtual values. This study enriched the theoretical basis of the C-14 method for Chinese biomass and coal co-firing power stations through field experiments and a new evaluation method based on domestic literature. It revealed differences in C-14 activity between biomass far from fossil carbon sources, highlighting the importance of establishing a prediction equation for referential biomass fuels' C-14 activity.
Article
Green & Sustainable Science & Technology
Prashant Malik, Mamta Awasthi, Sunanda Sinha
Summary: This study investigates the feasibility of a grid-connected hybrid system as a microgrid in the western Himalayan region, using local renewable resources. The optimal system identified is a grid-connected biomass gasifier/photovoltaic hybrid system, which is the most cost-effective and can save 27.8 Mt CO2/year compared to a diesel-only system. Sensitivity analysis shows that the optimal system is most sensitive to changes in solar radiation, real interest rate, biomass gasifier lifetime, and annual capacity shortage.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Ahyahudin Sodri, Fentinur Evida Septriana
Summary: The study evaluated the technical, economic, and environmental aspects of biogas power generation from POME at Bangka Island, Indonesia. The biogas plant at the study site can reduce COD levels of POME by up to 91% and produce biogas at 325,292 m(3)/month, with a 55% methane content. Biogas can be converted into electrical energy at 696,163 kWh/month.
Article
Mathematics, Applied
Sunil Kumar, Ram P. Chauhan, Mohamed S. Osman, S. A. Mohiuddine
Summary: The main aim of this work is to numerically investigate a mathematical model of the HIV/AIDS disease with awareness effect. The study extends the integer-order model to fractional order using the generalized Caputo fractional derivative. A fixed-point approach is utilized to prove the existence and uniqueness of the model. The fractional-order HIV/AIDS transmission model is then solved using a new numerical technique based on the Adams-Bashforth predictor-corrector method, and the results are illustrated through graphs.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Operations Research & Management Science
Nupur Goyal, Mangey Ram
Summary: The present investigation focuses on the steady state availability, reliability, and mean time to failure of the 1-out-of (k + 1): G redundant system. Two models are derived to analyze the effects of various parameters on reliability measures. This study is very helpful for engineers to design highly reliable redundant systems with high profitability in the industry.
RAIRO-OPERATIONS RESEARCH
(2022)
Article
Engineering, Environmental
Chao Liu, Kui Wang, Xinpeng Zhao, Zhijun Chen, Xiaoyan Yin, Tingting Cai, Xiaolei Zhang, Junming Xu, Jun Hu, Xianzhi Meng, Arthur J. Ragauskas, Jianchun Jiang
Summary: Integrated lignocellulosic biorefineries have the potential to convert all components of lignocellulosic biomass into valuable products. However, the challenge lies in the recalcitrance of lignocellulose, making the conversion process technically and economically challenging. This study proposes a sustainable and profitable strategy for lignocellulose fractionation and conversion, with the potential for high revenue.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Applied
Alexander Shaw, Xiaolei Zhang, Shuya Jia, Juan Fu, Lin Lang, Robert C. Brown
Summary: The formation mechanism of char from lignin monomers was studied and it was found to occur in a two-step process involving aggregation and ring forming reactions. The generated side products include hydrogen, water, methanol, and formaldehyde. The proposed mechanism provides insights for future research on char formation during biomass thermochemical conversion processes.
FUEL PROCESSING TECHNOLOGY
(2023)
Article
Engineering, Environmental
Feng Long, Shiyu Wu, Yuwei Chen, Xincheng Cao, Jiaping Zhao, Peng Liu, Jianchun Jiang, Xiaolei Zhang, Junming Xu
Summary: In this research, a series of Ni3Fe catalysts were synthesized to improve the transformation of fatty acids into fatty alcohols. The Ni3Fe anchored on TiO2 surface exhibited excellent catalytic activity with a high alcohol yield of 91.2%. Both experimental and DFT computational results indicated that the interactions between Ni3Fe nanoparticles and R-TiO2 support promoted the formation of oxygen vacancy, which played a vital role in the hydrogenation towards fatty alcohols.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Hui Wang, Haifeng Qi, Xiao Sun, Shuya Jia, Xiyi Li, Tina Jingyan Miao, Lunqiao Xiong, Shihao Wang, Xiaolei Zhang, Xiaoyan Liu, Aiqin Wang, Tao Zhang, Weixin Huang, Junwang Tang
Summary: A promising method for on-demand hydrogen production is demonstrated using an atomic-level catalyst design strategy that combines single atoms and nanodots. The PtCu-TiO2 sandwich photocatalyst achieves a high formation rate of H-2 with a high quantum efficiency.
Editorial Material
Chemistry, Multidisciplinary
Hui Jin, Qingang Xiong, Xiaolei Zhang, Yaning Zhang
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Article
Engineering, Environmental
Guanchu Lu, Zhe Wang, Zongyang Yue, Wenjing Wei, Yi Huang, Xiaolei Zhang, Xianfeng Fan
Summary: The high energy consumption of aqueous amine absorbents hinders their global deployment for carbon dioxide capture. Non-aqueous amine systems provide energy-efficient alternatives, but are prone to precipitation during the absorption process. This study combines experimental and theoretical approaches to investigate the factors influencing precipitation and the effectiveness of different solvents. Based on these findings, novel non-aqueous absorbents have been developed to improve CO2 absorption and desorption performance, resulting in reduced energy consumption.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Madasamy Thangamuthu, Kiran Vankayala, Lunqiao Xiong, Stuart Conroy, Xiaolei Zhang, Junwang Tang
Summary: The stoichiometric water splitting using a solar-driven Z-scheme approach is a promising solution to the growing demand for renewable energy and environmental concerns. In this study, a robust Z-scheme system was constructed using only tungsten oxides, enabling efficient visible-driven water splitting. The system achieved high H2 and O2 production rates in a neutral solution, with an apparent quantum yield of 6.06% at 420 nm. The selective production of H2 and O2 was attributed to the preferential adsorption of iodide and iodate on the respective photocatalysts. This liquid Z-scheme system, combined with efficient shuttle molecules, offers a safe and separated H2 and O2 evolution process.
Article
Chemistry, Physical
Feng Long, Shiyu Wu, Haitian Chen, Shuya Jia, Xincheng Cao, Peng Liu, Yanju Lu, Jianchun Jiang, Xiaolei Zhang, Junming Xu
Summary: Ni3Fe clusters anchored on rutile were synthesized through different methods and investigated for hydrogenation of fatty acid into alcohol. The catalyst with the highest specific surface area and best dispersion exhibited the best hydrogenation activity. The electron distribution and strength of the metal-support interaction can affect the adsorption of H and acids towards fatty alcohol production.
JOURNAL OF CATALYSIS
(2023)
Article
Chemistry, Multidisciplinary
Bidesh Mondal, Xiaolei Zhang, Sumit Kumar, Feng Long, Nirmal Kumar Katiyar, Mahesh Kumar, Saurav Goel, Krishanu Biswas
Summary: The demand for carbon-free energy sources has made the use of hydrogen (H2) gas increasingly important, but its explosive nature raises safety concerns. Researchers have developed a hydrogen gas detection sensor using high-entropy alloy nanoparticles, which shows high selectivity and sensitivity. By decorating the 2D MoS2 surface with these nanoparticles, the sensor can effectively adsorb and dissociate H2 gas, thereby improving its performance.
Article
Biochemistry & Molecular Biology
Qiaolong Zhai, Shaoqi Yang, Shuheng Zhao, Jianjun Hu, Yanju Lu, Xiaolei Zhang
Summary: This study compared the dissolution of lignin in different acid hydrotropes and found that 4-HSA is the most efficient solvent. The analysis of molecular mechanism revealed that higher absorb free energy of 4-HSA and p-TsOH complex with VG contributed to a higher efficiency of lignin dissolution. The content of beta-O-4 bonds in the extracted lignin varied among the four acid hydrotropes at the same level of lignin removal and was influenced by the acidity and critical aggregation concentrations of acid hydrotropes.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Chemistry, Physical
Mengyu Cao, Shibo Shao, Wenjing Wei, Jason B. Love, Zongyang Yue, Yiming Zhang, Xiaolei Zhang, Yuxiang Xue, Jialin Yu, Xianfeng Fan
Summary: This study developed a photocatalytic system using g-C3N4 as a catalyst for the cleavage of lignin C-C bonds. The optimized electronic structure of g-C3N4 achieved improved catalytic activity and selectivity. These findings provide valuable insights for the design of efficient photocatalytic systems for lignin conversion.
APPLIED SURFACE SCIENCE
(2024)
Article
Engineering, Environmental
Shuangmei Han, Xiaolei Zhang, Ruizhen Wang, Kui Wang, Jianchun Jiang, Junming Xu
Summary: This research investigates the electrocatalytic hydrodeoxygenation (ECH) of lignin model compounds and lignin-derived oil, achieving the conversion into (alkyl)-cyclohexane and (alkyl)-cyclohexanol. The results show that G-type compounds are more easily hydrodeoxygenated than S-type compounds, and the allyl group has a negative effect on the electrocatalytic conversion. Furthermore, complete conversion of lignin-derived oil from pine and poplar is achieved.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Polymer Science
Gaurav Sharma, Amit Kumar, Ayman A. Ghfar, Alberto Garcia-Penas, Mu. Naushad, Florian J. Stadler
Summary: The facile fabrication of XG-cl-poly(AAm-co-AA) hydrogel was demonstrated using microwave-assisted copolymerization. The hydrogel exhibited a high adsorption potential and stability for the removal of toxic cadmium ions.
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.
