Article
Energy & Fuels
Lei Hou, Huijie Lin, Xin Yang, Huaipu Ren, Dan Shao
Summary: This paper proposes a low-carbon demand response strategy for buildings considering load rebound, which includes building load classification, load rebound optimization model, and the introduction of factors such as real-time carbon emission factor and load fluctuation reward. The proposed strategy effectively reduces the comprehensive operation cost of buildings, carbon emissions, and load fluctuations.
Article
Engineering, Civil
Guangyong Sun, Xuesong Wang, Jianguang Fang, Tong Pang, Qing Li
Summary: The study focuses on developing a multiobjective optimization approach for bumper systems to consider multiple impact loading scenarios, resulting in improved intrusion reduction and increased energy absorption.
THIN-WALLED STRUCTURES
(2021)
Article
Engineering, Mechanical
Stanislav Kotsmid, Pavel Beno
Summary: This paper presents an improved algorithm for computing the axial load carrying capacity of a specific multi-beam structure to avoid failure. The previous approach based on the finite element method is simplified to determine the relation between axial load and displacement for a single beam, and the time-consuming finite element analysis on multiple beams is replaced with a numerical optimization process. The developed approach provides faster and simpler computation of the minimum axial load carrying capacity of the structure, considering beam length tolerances, and the results are in good agreement with complex finite element analysis. The correctness of the method is confirmed through theoretical and experimental analyses, analyzing the load carrying capacity of a multi-beam structure consisting of six steel circular beams.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Environmental Sciences
S. Thiruvenkatachari, C. G. Saravanan, Vallinayagam Raman, M. Vikneswaran, J. S. Femilda Josephin, Edwin Geo Varuvel
Summary: This study focuses on effectively utilizing biodiesel extracted from Azolla for powering diesel engines. The unique properties of biodiesel make it difficult to achieve better engine performance with a mechanical type injection system. By using a common rail fuel injection system with wider injection flexibility, this study investigates the modification of the fuel system when using Azolla biodiesel. The experimental results show that the physical properties of the fuel adversely affect engine combustion, and increasing the injection pressure can improve combustion efficiency.
Article
Energy & Fuels
Yong Wang, Wenlei Dou, Yongji Tong, Bo Yang, Hongbo Zhu, Ruihong Xu, Ning Yan
Summary: This paper aims to improve the reliability of multi-type load power supply, reduce the disorder of EV charging, and ensure the low-carbon economic operation of VPP. The optimal allocation method for VPP involving EV is proposed, which includes probabilistic models of electric load demand, an aggregation model of multiple types of uncertain loads, and an optimization model with the maximum profit of load aggregator. The supply and demand matching model of VPP is established to optimize the minimum carbon emission and maximum net income.
Article
Chemistry, Physical
Jayanta Bera, Atanu Betal, Satyajit Sahu
Summary: The study investigates the impact of Rashba spin-orbit coupling on the electronic and thermoelectric properties of two-dimensional monolayer HfS2, HfSe2, and HfSSe, revealing a significant enhancement in thermoelectric power factor for n-type carriers. The ultralow lattice thermal conductivity and high thermoelectric figure of merit at room temperature for n-type carriers indicate the potential of these materials as efficient thermoelectric power generators, especially with the influence of SOC.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Mathematics, Interdisciplinary Applications
Fan Zhang, Zhuzheng Shen, Wen Xu, Guofeng Wang, Biyi Yi
Summary: This paper proposes a microgrid optimal scheduling strategy using second-order cone relaxation method to minimize the total cost of the microgrid by transforming nonlinear constraints into linear ones. The study includes establishing a microgrid system model, studying the application conditions of the relaxation method, and solving optimization problems when the conditions are not met. An example is provided to demonstrate the effectiveness of the proposed method.
Article
Energy & Fuels
Anjali Verma, Sweta Sharma, Hiralal Pramanik
Summary: The waste expanded polystyrene (WEPS) was subjected to pyrolysis and in situ hydrogenation on a red clay catalyst, resulting in pyrolysis oil with high liquid yield and high BTE content.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Thermodynamics
Siddharth Saurav, Sandip Mazumder
Summary: The multidimensional phonon Boltzmann Transport Equation (BTE) was numerically solved to simulate a Frequency Domain Thermo-Reflectance (FDTR) experimental setup. The inclusion of optical phonons significantly improved the agreement between the measured and computed phase lag. The thermal conductivity was extracted by fitting the Fourier heat conduction equation results, and the superiority of one relaxation time-scale expression over the other could not be established.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Review
Energy & Fuels
M. Anbarsooz
Summary: Nanoparticles dispersed in liquid fuels enhance heat transfer and combustion properties, attracting attention from the internal combustion engine community. A comprehensive review on the effects of using various nanoparticles on fuel properties and combustion characteristics in CI engines is provided. Experimental results show improved BTE and BSFC, reduced smoke and UNBC emissions, but varying effects on NOx emissions. Suggestions for future research on using hybrid nanoparticles as additives in CI engines are provided.
Article
Engineering, Manufacturing
Benjamin C. Stump, Brian T. Gibson, Jay T. Reynolds, Charles C. Wade, Michael C. Borish, Peter L. Wang
Summary: As powder bed fusion (PBF) additive manufacturing (AM) progresses, system configurations are shifting towards unconventional configurations to increase throughput. The inclusion of multiple heat sources increases the complexity of control schemes and load balancing becomes crucial. This paper introduces high-performing load balancing methods for multi-beam systems of any complexity, enabling on-the-fly load balancing in case of beam failures and improving system robustness.
ADDITIVE MANUFACTURING
(2023)
Article
Environmental Sciences
Zeinab Ahmadnezhad, Abdorreza Vaezihir, Christoph Schueth, Gholamreza Zarrini
Summary: Adsorption and bioremediation processes have been studied for the remediation of BTE through PRBs. The combination of natural zeolite and bacterial strains in a PRB system showed efficient removal of BTE mixture, indicating the potential for field-scale application. This research highlights the high efficiency of C-HZ in BTE treatment and the improved remediation efficiency of CH-Z ePRB method in restricting BTE migration.
Article
Computer Science, Artificial Intelligence
Mahdi Jemmali, Loai Kayed B. Melhim, Abdullah Alourani, Md Moddassir Alam
Summary: The objective of this study is to find a method to ensure the equitable distribution of patient reports among doctors in a healthcare organization. A mathematical model and various heuristics are proposed and evaluated through experiments.
PEERJ COMPUTER SCIENCE
(2022)
Article
Energy & Fuels
Peng Qiu, Yi Lu, Wenchao Zhang, Chao Ding
Summary: This paper proposes a real-time low-carbon scheduling method for wind-thermal-hydro-storage integrated systems to address the source-load uncertainty. The method neutralizes the power imbalance caused by uncertainty through the synergetic linear decision of multiple resources. To deal with the source-load uncertainty, a stochastic robust optimization is introduced, which establishes system constraints for resilience operation and optimizes the expected operation cost based on empirical uncertainty distribution for economic efficiency. Moreover, a multi-point estimation method is applied for precise and quick formulation of the expected operation cost.Using dual theory, the proposed real-time power scheduling is formulated as a mixed-integer bilinear constrained programming. A multi-step sequential convexified solution is developed to solve the complex scheduling problem, which linearizes the bilinear constraints and relaxes the state variables of energy storages with an estimation-correction strategy. The superiority of the proposed scheduling method and convexified solution is demonstrated through case studies.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
G. Srinivasa Sudharsan, Karthikeyan Natarajan, S. G. Rahul, Anuj Kumar
Summary: A Pseudo Adaptive Model Predictive Controller (PA-MPC) is proposed to efficiently handle both the instantaneous generator power control and induced fatigue load mitigation of wind turbine. This controller can solve the bi-objective cost function online and ensure the optimal operation of the turbine. By using this controller, the power output of the turbine is expected to increase by 10% and the fatigue load component to decrease by 48%. The operating lifetime of the turbine is expected to improve by 2.5 years (12.5% of overall lifetime).
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Energy & Fuels
Yingna Du, Chen Huang, Wei Jiang, Qiangwei Yan, Yongfei Li, Gang Chen
Summary: In this study, anionic surfactants modified hydrotalcite was used as a flow improver for crude oil under low-temperature conditions. The modified hydrotalcite showed a significant viscosity reduction effect on crude oil. The mechanism of the modified hydrotalcite on viscosity and pour point of crude oil was explored through characterization and analysis of the modified hydrotalcite and oil samples.
Article
Energy & Fuels
Mohammad Saeid Rostami, Mohammad Mehdi Khodaei
Summary: In this study, a hybrid structure, MIL-53(Al)@MWCNT, was synthesized by combining MIL-53(Al) particles and -COOH functionalized multi-walled carbon nanotube (MWCNT). The hybrid structure was then embedded in a polyethersulfone (PES) polymer matrix to prepare a mixed matrix membrane (MMM) for CO2/CH4 and CO2/N2 separation. The addition of MWCNTs prevented MIL-53(Al) aggregation, improved membrane mechanical properties, and enhanced gas separation efficiency.
Article
Energy & Fuels
Yunlong Li, Desheng Huang, Xiaomeng Dong, Daoyong Yang
Summary: This study develops theoretical and experimental techniques to determine the phase behavior and physical properties of DME/flue gas/water/heavy oil systems. Eight constant composition expansion (CCE) tests are conducted to obtain new experimental data. A thermodynamic model is used to accurately predict saturation pressure and swelling factors, as well as the phase boundaries of N2/heavy oil systems and DME/CO2/heavy oil systems, with high accuracy.
Article
Energy & Fuels
Morteza Afkhamipour, Ebad Seifi, Arash Esmaeili, Mohammad Shamsi, Tohid N. Borhani
Summary: Non-conventional amines are being researched worldwide to overcome the limitations of traditional amines like MEA and MDEA. Adequate process and thermodynamic models are crucial for understanding the applicability and performance of these amines in CO2 absorption, but studies on process modeling for these amines are limited. This study used rate-based modeling and Deshmukh-Mather method to model CO2 absorption by DETA solution in a packed column, validated the model with experimental data, and conducted a sensitivity analysis of mass transfer correlations. The study also compared the CO2 absorption efficiency of DETA solution with an ionic solvent [bmim]-[PF6] and highlighted the importance of finding optimum operational parameters for maximum absorption efficiency.
Article
Energy & Fuels
Arastoo Abdi, Mohamad Awarke, M. Reza Malayeri, Masoud Riazi
Summary: The utilization of smart water in EOR operations has gained attention, but more research is needed to understand the complex mechanisms involved. This study investigated the interfacial tension between smart water and crude oil, considering factors such as salt, pH, asphaltene type, and aged smart water. The results revealed that the hydration of ions in smart water plays a key role in its efficacy, with acidic and basic asphaltene acting as intrinsic surfactants. The pH also influenced the interfacial tension, and the aged smart water's interaction with crude oil depended on asphaltene type, salt, and salinity.
Article
Energy & Fuels
Dongao Zhu, Kun Zhu, Lixian Xu, Haiyan Huang, Jing He, Wenshuai Zhu, Huaming Li, Wei Jiang
Summary: In this study, cobalt-based metal-organic frameworks (Co-based MOFs) were used as supports and co-catalysts to confine the NHPI catalyst, solving the leaching issue. The NHPI@Co-MOF with carboxyl groups exhibited stronger acidity and facilitated the generation of active oxygen radicals O2•, resulting in enhanced catalytic activity. This research provides valuable insights into the selection of suitable organic linkers and broadens the research horizon of MOF hybrids in efficient oxidative desulfurization (ODS) applications.
Article
Energy & Fuels
Edwin G. Hoyos, Gloria Amo-Duodu, U. Gulsum Kiral, Laura Vargas-Estrada, Raquel Lebrero, Rail Munoz
Summary: This study investigated the impact of carbon-coated zero-valent nanoparticle concentration on photosynthetic biogas upgrading. The addition of nanoparticles significantly increased microalgae productivity and enhanced nitrogen and phosphorus assimilation. The presence of nanoparticles also improved the quality of biomethane produced.
Article
Energy & Fuels
Yao Xiao, Asma Leghari, Linfeng Liu, Fangchao Yu, Ming Gao, Lu Ding, Yu Yang, Xueli Chen, Xiaoyu Yan, Fuchen Wang
Summary: Iron is added as a flocculant in wastewater treatment and the hydrothermal carbonization (HTC) of sludge produces wastewater containing Fe. This study investigates the effect of aqueous phase (AP) recycling on hydrochar properties, iron evolution and environmental assessment during HTC of sludge. The results show that AP recycling process improves the dewatering performance of hydrochar and facilitates the recovery of Fe from the liquid phase.
Article
Energy & Fuels
He Liang, Tao Wang, Zhenmin Luo, Jianliang Yu, Weizhai Yi, Fangming Cheng, Jingyu Zhao, Xingqing Yan, Jun Deng, Jihao Shi
Summary: This study investigated the influence of inhibitors (carbon dioxide, nitrogen, and heptafluoropropane) on the lower flammability limit of hydrogen and determined the critical inhibitory concentration needed for complete suppression. The impact of inhibitors on explosive characteristics was evaluated, and the inhibitory mechanism was analyzed with chemical kinetics. The results showed that with the increase of inhibitor quantity, the lower flammability limit of hydrogen also increased. The research findings can contribute to the safe utilization of hydrogen energy.
Article
Energy & Fuels
Zonghui Liu, Zhongze Zhang, Yali Zhou, Ziling Wang, Mingyang Du, Zhe Wen, Bing Yan, Qingxiang Ma, Na Liu, Bing Xue
Summary: In this study, high-performance solid catalysts based on phosphotungstic acid (HPW) supported on Zr-SBA-15 were synthesized and evaluated for the one-pot conversion of furfural (FUR) to γ-valerolactone (GVL). The catalysts were characterized using various techniques, and the ratio of HPW and Zr was found to significantly affect the selectivity of GVL. The HPW/Zr-SBA-15 (2-4-15) catalyst exhibited the highest GVL yield (83%) under optimized reaction conditions, and it was determined that a balance between Bronsted acid sites (BAS) and Lewis acid sites (LAS) was crucial for achieving higher catalytic performance. The reaction parameters and catalyst stability were also investigated.
Article
Energy & Fuels
Michael Stoehr, Stephan Ruoff, Bastian Rauch, Wolfgang Meier, Patrick Le Clercq
Summary: As part of the global energy transition, an experimental study was conducted to understand the effects of different fuel properties on droplet vaporization for various conventional and alternative fuels. The study utilized a flow channel to measure the evolution of droplet diameters over time and distance. The results revealed the temperature-dependent effects of physical properties, such as boiling point, liquid density, and enthalpy of vaporization, and showed the complex interactions of preferential vaporization and temperature-dependent influences of physical properties for multi-component fuels.
Article
Energy & Fuels
Yuan Zhuang, Ruikang Wu, Xinyan Wang, Rui Zhai, Changyong Gao
Summary: Through experimental validation and optimization of the chemical kinetic model, it was found that methanol can accelerate the oxidation reaction of ammonia, and methanol can be rapidly oxidized at high concentration. HO2 was found to generate a significant amount of OH radicals, facilitating the oxidation of methanol and ammonia. Rating: 7.5/10.
Article
Energy & Fuels
Radwan M. EL-Zohairy, Ahmed S. Attia, A. S. Huzayyin, Ahmed I. EL-Seesy
Summary: This paper presents a lab-scale experimental study on the impact of diethyl ether (DEE) as an additive to waste cooking oil biodiesel with Jet A-1 on combustion and emission features of a swirl-stabilized premixed flame. The addition of DEE to biodiesel significantly affects the flame temperature distribution and emissions. The W20D20 blend of DEE, biodiesel, and Jet A-1 shows similar flame temperature distribution to Jet A-1 and significantly reduces UHC, CO, and NOx emissions compared to Jet A-1.
Article
Energy & Fuels
Jiang Bian, Ziyuan Zhao, Yang Liu, Ran Cheng, Xuerui Zang, Xuewen Cao
Summary: This study presents a novel method for ammonia separation using supersonic flow and develops a mathematical model to investigate the condensation phenomenon. The results demonstrate that the L-P nucleation model accurately characterizes the nucleation process of ammonia at low temperatures. Numerical simulations also show that increasing pressure and concentration can enhance ammonia condensation efficiency.
Article
Energy & Fuels
Shiyuan Pan, Xiaodan Shi, Beibei Dong, Jan Skvaril, Haoran Zhang, Yongtu Liang, Hailong Li
Summary: Integrating CO2 capture with biomass-fired combined heat and power (bio-CHP) plants is a promising method for achieving negative emissions. This study develops a reliable data-driven model based on the Transformer architecture to predict the flowrate and CO2 concentration of flue gas in real time. The model validation shows high prediction accuracy, and the potential impact of meteorological parameters on model accuracy is assessed. The results demonstrate that the Transformer model outperforms other models and using near-infrared spectral data as input features improves the prediction accuracy.