Article
Computer Science, Artificial Intelligence
Ibrahim M. Hezam, Abduallah Gamal, Mohamed Abdel-Basset, Nada A. Nabeeh, Florentin Smarandache
Summary: This study investigates the problem of locating a sustainable battery recycling plant, utilizing a comprehensive evaluation index system and a multi-criteria decision-making tool. The findings reveal that the environmental criterion is the most important. The results of this research will aid policymakers in Egypt in making decisions regarding the development of the battery recycling industry.
Article
Green & Sustainable Science & Technology
Giovanni Ferrari, Francesco Marinello, Andreas Lemmer, Carlo Ranzato, Andrea Pezzuolo
Summary: This paper introduces a multicriteria analysis method for optimal location of biomass plants in Northern Italy. By considering various constraints and criteria, 93 potential sites suitable for plant location were identified. The distribution of biomass from different areas to plants was carried out using a specific Location-Allocation algorithm that takes into account the attractiveness of the plants and the maximum power. A comparison with the current bioenergy production system and sensitivity analysis of different decision-making scenarios were conducted, showing the possibility of installing 90 to 199 plants and producing between 246.8.10(6) Nm(3) and 503.6.10(6) Nm(3) of biomethane.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Water Resources
Maoya Bassiouni, Stefano Manzoni, Giulia Vico
Summary: Plant responses to water stress affect water and carbon cycles and may have climate feedbacks, but characterizing these responses at the ecosystem level is uncertain. Quantifying ecosystem-level water use strategies is challenging due to difficulties in upscaling plant traits and disentangling environmental factors, limiting our understanding of global change in ecosystem dynamics and ecohydrological fluxes.
ADVANCES IN WATER RESOURCES
(2023)
Article
Chemistry, Multidisciplinary
Hassan Shokouhandeh, Sohaib Latif, Sadaf Irshad, Mehrdad Ahmadi Kamarposhti, Ilhami Colak, Kei Eguchi
Summary: This study proposes a modified version of the artificial bee colony (MABC) algorithm to solve reactive power compensation problems in power systems and compares its results with other algorithms. The simulation results show that the MABC algorithm has lower active power losses and reactive power costs, as well as better voltage characteristics and system stability.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Whei-Min Lin, Chung-Yuen Yang, Zong-Yo Wu, Ming-Tang Tsai
Summary: This research utilized historical weather data and LSSVM to predict wind speed and solar radiation, established a maximized risk income model for VPP based on CVAR, and proposed an EBFA to solve the risk dispatch problem. Simulation and tests using the VPP system on Penghu island showed that maximizing risk income leads to positive results in power dispatch.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Xiaobing Xiao, Yue Li, Xiaomeng He, Yongxiang Cai, Yong Xiao, Boyang Huang, Xin Jin
Summary: To achieve intelligent management of photovoltaic power generation system, wireless sensor network (WSN) is considered as a promising solution. However, the limited energy and security issues of sensor nodes in WSN pose challenges. This paper comprehensively considers various factors affecting the security and efficiency of WSN, and proposes an optimization algorithm to improve secure rate and energy efficiency. The algorithm utilizes Block Coordinate Descent (BCD) technology for the optimal solution, ensuring the security and reliability of monitoring.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Valentin Azbe, Rafael Mihalic
Summary: This paper focuses on addressing the stability issues caused by the inclusion of a large amount of renewable energy sources in electric-power systems. The use of energy functions and control strategies for STATCOMs and renewable energy sources is proposed to improve transient stability. The paper presents the development of energy functions for STATCOMs and demonstrates their effectiveness through numerical simulations. The paper offers insights into the possibility of globally optimal control of renewable energy sources during transients.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Md Jahidur Rahman, Tahar Tafticht, Mamadou Lamine Doumbia, Iqbal Messaif
Summary: Power generation from Renewable Energy Sources (RESs) is unpredictable due to climate or weather changes. Therefore, this paper proposes a simulation scheme utilizing a solar system to compensate for the unpredictability in power supply. The scheme involves modeling PV panels, designing an adaptive notch filter, and using power converters/inverters for energy storage system integration. Multiple simulations were carried out with different filters to regulate the DC bus of the proposed grid.
Article
Engineering, Marine
Sebastiano Cominelli, Carlo Sinigaglia, Davide Enrico Quadrelli, Francesco Braghin
Summary: In this paper, a new method is proposed for controlling surface water waves and their interaction with floating bodies. Three control strategies are designed, of increasing complexity, for a floating target rigid body. The performance of an additional controlled floating device, modeled as a membrane or a thin plate, is analyzed. The problem is framed as an optimal control problem, aiming to minimize unwanted motions of the floating body. Numerical simulations demonstrate the efficacy of this new method for reducing hydrodynamic loads on floating objects.
Article
Engineering, Multidisciplinary
Aniket Joshi, Sukumar Kamalasadan
Summary: In this article, an uncertainty-based optimal control framework is proposed to improve the frequency regulation of a distributed microgrid. The framework updates the penalty factor of the controller quality function automatically and provides policy to the hybrid energy storage system (HESS). The HESS supports a photovoltaic distributed energy resource during grid dynamics, and the penalty factor update is based on the sensitivity of battery and ultracapacitor power contribution to frequency change. The proposed architecture provides around 50% improvement in frequency regulation compared to the conventional frequency droop approach.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Mathematics
Luis Almeida, Michel Duprez, Yannick Privat, Nicolas Vauchelet
Summary: This article studies the optimal release strategies for controlling disease transmission by using the sterile insect technique. Numerical simulations are presented to illustrate the results.
JOURNAL OF DIFFERENTIAL EQUATIONS
(2022)
Article
Nuclear Science & Technology
Vineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S. R. Shimjith, A. John Arul
Summary: This study proposes a control design scheme for a nuclear power plant by integrating the optimal LQG control with the robust ISM technique, and further enhances the effectiveness and robustness by integrating the LQG-ISM technique with loop transfer recovery approach. The designed controllers demonstrate robust performance, minimum control efforts, and effective set-point tracking in the presence of disturbances and parametric uncertainties.
PROGRESS IN NUCLEAR ENERGY
(2021)
Article
Energy & Fuels
Tammo Zobel, Andreas Ritter, Christopher H. Onder
Summary: The warm-up process is critical for micro Combined Heat and Power (mCHP) plants, and this study presents a mathematical optimization framework that significantly reduces warm-up time and improves thermal efficiency. The optimized actuator trajectories result in a 40% shorter warm-up time for the mCHP plant.
Article
Engineering, Electrical & Electronic
Goksu Karadag, Muhammad Shahid Iqbal, Sinem Coleri
Summary: This paper introduces the radio frequency (RF) energy harvesting paradigm into the wireless networked control system framework and explores solutions for optimal power control, energy harvesting, and scheduling problems. By proposing polynomial-time heuristic algorithms, the study achieves efficient scheduling and optimization, outperforming traditional algorithms significantly in terms of adaptivity, delay, reliability, and average runtime.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Tommi Mononen, Teemu Kuosmanen, Johannes Cairns, Ville Mustonen
Summary: Evolutionary prediction and control are important in steering rapidly evolving populations towards a chosen target. This study applies optimal control theory to understand adaptive use of traits and shows how demographic stochasticity leads to lag time evolution. The practical importance of cycle length in experiments and the incorporation of frequency-dependent selection are also demonstrated. The study highlights the utility of optimal control theory in understanding organismal adaptations and cellular decision making.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2023)
Article
Energy & Fuels
Shazadi Rana, Zhenkun Sun, Poupak Mehrani, Robin Hughes, Arturo Macchi
Article
Green & Sustainable Science & Technology
Robert T. Symonds, Zhenkun Sun, Omid Ashrafib, Philippe Navarrib, Dennis Y. Lie, Robin W. Hughes
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2019)
Article
Engineering, Chemical
Benoit Duhoux, Robert T. Symonds, Robin Hughes, Poupak Mehrani, Edward J. Anthony, Arturo Macchi
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2020)
Article
Engineering, Chemical
F. Li, E. Mielke, R. W. Hughes, M. Fitzsimmons, A. Macchi, P. Mehrani
Article
Engineering, Environmental
Zhenkun Sun, Dennis Y. Lu, Robert T. Symonds, Robin W. Hughes
CHEMICAL ENGINEERING JOURNAL
(2020)
Article
Green & Sustainable Science & Technology
Arturo Cabello, Robin W. Hughes, Robert T. Symonds, Scott Champagne, Dennis Y. Lu, Ehsan Mostafavi, Nader Mahinpey
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2019)
Article
Energy & Fuels
Robert T. Symonds, Robin W. Hughes, Margarita De Las Obras Loscertales
Article
Chemistry, Multidisciplinary
Yewen Tan, Zhenkun Sun, Arturo Cabello, Dennis Y. Lu, Robin W. Hughes
Article
Engineering, Chemical
Jaber Shabanian, Marc A. Duchesne, Allan Runstedtler, Madhava Syamlal, Robin W. Hughes
CHEMICAL ENGINEERING SCIENCE
(2020)
Article
Engineering, Chemical
Robert T. Symonds, Dennis Y. Lu, Arturo Macchi, Robin W. Hughes, Edward J. Anthony
Summary: Calcium looping is a feasible CO2 capture technology, but chlorine in fuels can impact the performance of calcium-based sorbents. Experimental results showed that the presence of HCl can increase sorbent reactivity towards CO2 and decrease CO2 diffusional resistance by changing particle morphology during carbonation using Canadian limestone. Additionally, full sorbent dechlorination can be achieved under typical oxy-fuel calcination conditions, with over 99% HCl capture without affecting sorbent CO2 capture performance when steam is present during both carbonation and calcination.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Chemical
C. J. McIntyre, R. W. Hughes, A. Macchi, P. Mehrani
Summary: The hydrodynamics of ilmenite particles in a high pressure cylindrical fluidized bed were modeled using the multiphase particle-in-cell approach. The model was validated against experimental data and showed good agreement for the minimum fluidization velocity at a close pack factor of 0.58. The model accurately represented the trends in bed expansion with fluidization ratio and pressure, but consistently underestimated the values. Bubble size distribution was also predicted by the model, with some deviation from experimental results. The importance of this study lies in its contribution to understanding the hydrodynamics of ilmenite particles in fluidized bed reactors.
Article
Energy & Fuels
Nicole Bond, Robert Symonds, Robin Hughes
Summary: To achieve zero emissions in iron and steel production, a new technology called PCL-DRI is proposed, which reduces CO2 emissions by replacing combustion units. The PCL-DRI process has lower fuel consumption and higher process water production compared to traditional methods, without the need for changes in stream chemistry or hydrogen infrastructure.
Article
Thermodynamics
Subhodeep Banerjee, Mehrdad Shahnam, William A. Rogers, Robin W. Hughes
Summary: Interest in circulating fluidized bed (CFB) boilers as a power generation technology has increased due to advantages such as increased combustion efficiency and the ability to use lower rank fuels. CFB combustors operate at lower temperatures, reducing NOx emissions, and SO2 emissions can be controlled through the addition of sulfur sorbents.
Article
Energy & Fuels
Kelly Atkinson, Robin Hughes, Arturo Macchi
Summary: This study proposes a new configuration for the CSP-CaL system, which offers several advantages over other configurations, including reduced equipment requirements, elimination of pressure differentials between vessels, and reduced compression duty during energy discharge. Process simulation shows that the proposed configuration can achieve round-trip efficiencies in the range of 32-46% and energy storage densities in the range of 0.3-1.0 GJ/m(3). These parameters depend on the residual conversion of the CaO sorbent and the efficiency of the power cycles used for heat removal.
Article
Energy & Fuels
Zhien Zhang, Tao Wang, Martin J. Blunt, Edward John Anthony, Ah-Hyung Alissa Park, Robin W. Hughes, Paul A. Webley, Jinyue Yan
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.