4.7 Article

Development of oxygen carriers for Chemical Looping Combustion: The chemical interaction between CuO and silica/γ-alumina granules with similar microstructure

Journal

FUEL
Volume 186, Issue -, Pages 496-503

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2016.08.090

Keywords

CO2 capture; CuO oxygen carrier; Silica granules; gamma-alumina granules; Chemical interaction

Funding

  1. Competence Center Energy and Mobility (CCEM) research program of Switzerland
  2. Marie Curie COFUND fellowship

Ask authors/readers for more resources

CO2 capture drives considerable R&D inputs into the advancement of chemical looping combustion (CLC) process, a promising and efficient technology to generate pure CO2 exhaust from fossil fuel powered plants. In the CLC process, oxygen storage material or oxygen carriers, composed of active metal oxides and supports, play important roles in transferring combustion needed oxygen from air reactor (oxidization) to combustion reactor (reduction). To develop high performance oxygen carriers, the effect of chemical interaction between supporting material and active metal oxide is highly worth to be studied. In this work, based on our recent developed 'CIP-filtration' fabrication strategy we obtained granules with similar porous microstructure but different chemical compositions, silica and gamma-alumina, respectively. CuO was then introduced into these two granule systems via a dry impregnation method. The similar porous characteristics of supporting granules enable us to look into the effect of chemical interaction between loaded CuO and supporting granulates. The simulated redox looping tests indicate that: CuO loaded on the supporting granule of silica and gamma-alumina experience different redox processes: direct reduction from CuO to metallic Cu or partially reduced Cu2O was noticed on silica substrate, while a spinel phase of copper aluminate was formed on the support of gamma-alumina granules and reduction was supposed to be from this phase to Cu2O and Cu. The interaction between gamma-alumina and active CuO shows a slower redox process, especially for the reduction process. Furthermore, the involvement of gamma-alumina seems to anchor the loaded CuO and prevent its agglomeration, which is different from the case of silica granules. (C) 2016 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

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Chemistry, Multidisciplinary

Processing of Self-Healing Polymers for Soft Robotics

Ellen Roels, Seppe Terryn, Fumiya Iida, Anton W. Bosman, Sophie Norvez, Frank Clemens, Guy Van Assche, Bram Vanderborght, Joost Brancart

Summary: Self-healing soft robots can recover completely from damage and have an extended lifetime, with various techniques used to shape complex structures. Reversible covalent and chemical cross-links provide healing abilities to soft robotic components, addressing current obstacles in soft robotics.

ADVANCED MATERIALS (2022)

Article Engineering, Chemical

Effect of artificial aggregate shapes on the porosity, tortuosity and permeability of their packings

N. A. Conzelmann, M. N. Partl, F. J. Clemens, C. R. Mueller, L. D. Poulikakos

Summary: This study investigates artificial aggregates of engineered shapes that enable structures with high porosities. Numerical and experimental techniques are employed to analyze packings of various shapes of the artificial aggregates. The study establishes a correlation between the porosity of a packing and the sphericity of the aggregates, and confirms the accurate prediction of permeability for a wide range of porosities using the Carman-Kozeny correlation. The establishment of the basic relationship between porosity and permeability in packings is critical for the design of artificial aggregates for novel applications.

POWDER TECHNOLOGY (2022)

Article Materials Science, Ceramics

Material extrusion additive manufacturing of advanced ceramics: Towards the production of large components

Frank Clemens, Fateme Sarraf, Aurelio Borzi, Antonia Neels, Amir Hadian

Summary: Thermoplastic extrusion based additive manufacturing (MEX-AM) is an interesting method for fabricating large ceramic parts. Three commercial yttria-stabilized zirconia (YSZ) filaments provided by Fabru GmbH, SiCeram GmbH, and PT+A GmbH were investigated. The flexibility and rheological properties of YSZ filaments were found to vary greatly. The Fabru filament exhibited higher flexibility but required significantly higher extrusion pressure to be printed through a 0.25 mm nozzle. In the SiCeram filament, a grain orientation effect was observed. STA analysis suggested that the polymer decomposing at a high temperature in the Fabru filament could be removed by solvent debinding (SD). Finally, the printing and post-processing of YSZ filaments were evaluated using a 70 mm tall cup structure.

JOURNAL OF THE EUROPEAN CERAMIC SOCIETY (2023)

Article Materials Science, Ceramics

EVA-PVA binder system for polymer derived mullite made by material extrusion based additive manufacturing

Fateme Sarraf, Amir Hadian, Sergey V. Churakov, Frank Clemens

Summary: The low processing temperature of preceramic polymers makes them attractive for additive manufacturing. Mixing ethylene vinyl acetate and polyvinyl alcohol successfully generates open porosity before crosslinking. The melt flow index and vinyl acetate content of the ethylene vinyl acetate affect printability and debinding behavior.

JOURNAL OF THE EUROPEAN CERAMIC SOCIETY (2023)

Article Chemistry, Analytical

3D Printable Soft Sensory Fiber Networks for Robust and Complex Tactile Sensing

David Hardman, Thomas George Thuruthel, Antonia Georgopoulou, Frank Clemens, Fumiya Iida

Summary: This study presents a complete framework for the fabrication of soft sensory fiber networks using 3D printing of piezoresistive elastomers, allowing for contact localization. Machine learning is utilized for contact localization, achieving good accuracy even in the presence of damage and nonlinear material properties. The potential of the networks to function as capacitive sensors is also demonstrated.

MICROMACHINES (2022)

Article Engineering, Manufacturing

Filament extrusion-based additive manufacturing of 316L stainless steel: Effects of sintering conditions on the microstructure and mechanical properties

Marius A. Wagner, Jona Engel, Amir Hadian, Frank Clemens, Mikel Rodriguez-Arbaizar, Efrain Carreno-Morelli, Jeffrey M. Wheeler, Ralph Spolenak

Summary: Filament extrusion-based additive manufacturing of metals provides a different microstructure compared to beam-based methods. The study shows that optimal microstructure of 316L stainless steel can be achieved through debinding and sintering under specific conditions, resulting in high density and avoiding detrimental hard phases.

ADDITIVE MANUFACTURING (2022)

Article Engineering, Manufacturing

Material extrusion additive manufacturing of zirconia parts using powder injection molding feedstock compositions

Amir Hadian, Maximilian Fricke, Antje Liersch, Frank Clemens

Summary: The aim of this study is to evaluate the suitability of powder injection molding (PIM) binder compositions for the material extrusion (MEX) additive manufacturing of zirconia parts. The study found that only one of the PIM binder compositions could be successfully printed, debound and sintered due to issues such as phase separation, poor printing performance or delamination. Additionally, a commercially available zirconia filament was used for comparison.

ADDITIVE MANUFACTURING (2022)

Article Polymer Science

Use of modified deep eutectic solvent as an additional chemical in a flexible conductive natural rubber sensor for motion analysis

Boripat Sripornsawat, Antonia Georgopoulou, Sarttrawut Tulaphol, Anoma Thitithammawong, Jobish Johns, Yeampon Nakaramontri, Frank Clemens

Summary: This research develops strain sensors based on conductive natural rubber composites filled with carbon nanotubes and conductive carbon black, and achieves an ionic pathway for electron moving through a modified deep eutectic solvent. The use of the solvent improves the electrical signal sensation of the conductive rubber composite and eliminates inconsistent behavior under different loadings.

EXPRESS POLYMER LETTERS (2023)

Article Materials Science, Multidisciplinary

Filament extrusion-based additive manufacturing of NiTi shape memory alloys

Marius A. Wagner, Jose L. Ocana-Pujol, Amir Hadian, Frank Clemens, Ralph Spolenak

Summary: Integrated additive manufacturing of functional NiTi shape memory alloys is demonstrated via 3D printing of filaments consisting of thermoplastic binder and metal powder. The fabricated alloys show superelastic and shape memory properties at room temperature, and their microstructures and thermo-mechanical properties are characterized. Actuator geometries are designed, fabricated, and tested to enlarge the shape memory strain. The use of metallic materials in additive manufacturing could overcome the limitations of poor mechanical properties and durability seen in polymeric materials commonly used in active structures.

MATERIALS & DESIGN (2023)

Article Materials Science, Multidisciplinary

Soft self-healing resistive-based sensors inspired by sensory transduction in biological systems

Antonia Georgopoulou, Joost Brancart, Seppe Terryn, Anton W. Bosman, Sophie Norvez, Guy Van Assche, Fumiya Iida, Bram Vanderborght, Frank Clemens

Summary: Sensory receptors play a crucial role in biological systems as they allow organisms to perceive and adapt to their environment. Researchers have developed biomimetic sensors to mimic the sensory transduction of organisms, but selectivity and multi-sensing capabilities in soft self-healing sensors (SSHS) are still lacking. This paper discusses the multi-sensing aspect of SSHS, focusing on resistive-based sensors for detecting various stimuli. Inspiration from biological systems' sensory transduction will be key for the further development and application of SSHS in areas such as soft robotics, electronic skin, and haptic devices.

APPLIED MATERIALS TODAY (2022)

Article Polymer Science

Soft Wearable Piezoresistive Sensors Based on Natural Rubber Fabricated with a Customized Vat-Based Additive Manufacturing Process

Antonia Georgopoulou, Sasitorn Srisawadi, Panithi Wiroonpochit, Frank Clemens

Summary: Soft piezoresistive sensing composite made of renewable material natural rubber and acetylene black was developed for monitoring human joint motion. Sensors produced through stereolithography-based method showed successful detection of small strains, while those fabricated by mold casting were not reliable for low strain detection. The homogeneous distribution and monotonic sensor response of the 3D printed sensors provided the ability to withstand large elongations.

POLYMERS (2023)

Article Materials Science, Ceramics

Electrospinning of ZrO2 fibers without sol-gel methods: Effect of inorganic Zr-source on electrospinning properties and phase composition

Tony Lusiola, Arun Ichangi, Daniel Weil, Tutu Sebastian, Christos Aneziris, Thomas Graule, Frank Clemens

Summary: This study successfully synthesized zirconia nanofibers without sol-gel precursors using low-cost inorganic materials, and improved the stability of nanofiber diameter by adjusting electrospinning parameters. The calcination of different precursors resulted in different crystal phases of the fibers, with a higher tetragonal phase content in those based on nanoparticles. Zirconia nanofibers with polygranular microstructure across the diameter were successfully produced.

OPEN CERAMICS (2023)

Article Electrochemistry

A Facile Two-Step Thermal Process for Producing a Dense, Phase-Pure, Cubic Ta-Doped Lithium Lanthanum Zirconium Oxide Electrolyte for Upscaling

Diwakar Karuppiah, Dmitrii Komissarenko, Nur Sena Yuezbasi, Yang Liu, Pradeep Vallachira Warriam Sasikumar, Amir Hadian, Thomas Graule, Frank Clemens, Gurdial Blugan

Summary: In this work, a simple two-step thermal treatment process was used to synthesize Ta-doped LLZO discs as solid electrolytes. The process parameters were carefully controlled to achieve nucleation and sintering of LLZO. The prepared Ta-LLZO discs exhibited good crystallinity and electrical conductivity.

BATTERIES-BASEL (2023)

Review Polymer Science

Preceramic Polymers for Additive Manufacturing of Silicate Ceramics

Fateme Sarraf, Sergey V. Churakov, Frank Clemens, Li Ye

Summary: The utilization of preceramic polymers to produce ceramics with exceptional characteristics and the application of additive manufacturing techniques provide new opportunities for manufacturing complex ceramic structures.

POLYMERS (2023)

Proceedings Paper Robotics

Case study of a rapid prototyping method for optimizing soft gripper structures with integrated piezoresistive sensors

Antonia Georgopoulou, Louisa Marie Eckey, Somashree Mondal, Frank Clemens

Summary: This study utilizes additive manufacturing to create sensorized soft actuator modules and investigates the impact of Shore hardness and design aspects on gripper structures. The study also finds that grippers with higher Shore hardness have a larger functional range and better controllability.

2022 IEEE 5TH INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT) (2022)

Article Energy & Fuels

Preparation of surface modified nano-hydrotalcite and its applicaiton as a flow improver for crude oil

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

Effect of incorporated hybrid MIL-53(Al) and MWCNT into PES membrane for CO2/CH4 and CO2/N2 separation

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

Phase behaviour and physical properties of dimethyl ether (DME)/flue gas/ water/heavy oil systems under reservoir conditions

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

Comparison of CO2 absorption in DETA solution and [bmim]-[PF6] using thermodynamic and process modelling

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

Interfacial tension of smart water and various crude oils

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

Co-based metal-organic frameworks confined N-hydroxyphthalimide for enhancing aerobic desulfurization of diesel 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

Influence of carbon-coated zero-valent iron-based nanoparticle concentration on continuous photosynthetic biogas upgrading

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

Effect of aqueous phase recycling on iron evolution and environmental assessment during hydrothermal carbonization of dyeing sludge

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

Investigation on the lower flammability limit and critical inhibition concentration of hydrogen under the influence of inhibitors

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

Phosphotungstic acid supported on Zr-SBA-15 as an efficient catalyst for one-pot conversion of furfural to ?-valerolactone

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

Experimental study of droplet vaporization for conventional and renewable transportation fuels: Effects of physical properties and chemical composition

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

An experimental and modeling study on the oxidation of ammonia-methanol mixtures in a jet stirred reactor

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

Improving the biodiesel combustion and emission characteristics in the lean pre-vaporized premixed system using diethyl ether as a fuel additive

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

Condensation characteristics of ammonia vapor during supersonic separation: A novel approach to ammonia-hydrogen separation

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

Multivariate time series prediction for CO2 concentration and flowrate of flue gas from biomass-fired power plants

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.