Language：English   Publishing type：Research paper (scientific journal)   Publisher：Chemical Engineering Research and Design  

Reactive chromatography overcomes many disadvantages of conventional separation processes by improving yields and reduces costs by combining reaction and separation in a single operation. Model-based optimization is essential to realize industrial applications of this process. Parameters in the model must be estimated accurately, and evaluating the uncertainty of the model parameters is crucial. However, uncertainty quantification of model parameters has not been performed for reactive chromatography processes. In this study, we propose an approach to estimate the parameter uncertainty of reactive chromatography processes using Bayesian inference and parallel sequential Monte Carlo. As an example, the esterification synthesis of acetic acid and methanol catalyzed by a cation exchange resin was considered. Parameter estimation was performed using a reactive chromatography experiment and a non-reactive experiment in which only the products were injected. The results of the analysis showed that using both the reactive and non-reactive chromatography experimental data simultaneously improved the accuracy of the estimation. In addition, correlations between some parameters were revealed.

DOI： 10.1016/j.cherd.2024.01.056

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Carbon Capture Science and Technology  

In this study, a techno-economic analysis is performed for an integrated system of carbon capture and utilization (CCU). The proposed system utilizes CO2 captured by a direct air capture (DAC) process using a metal–organic framework adsorbent. The captured CO2 is converted into a methane product, or synthetic natural gas (SNG), using hydrogen produced by water electrolysis. Rigorous mathematical models are used for the mass and energy balances in the major components of the proposed integrated system, allowing us to estimate the capital and operating costs and energy consumption. A sensitivity analysis is also performed to identify model parameters that significantly affect the SNG cost. Our analysis indicates that the thermal and electrical energies required to produce SNG are 0.409 MJ/Nm3-SNG and 19.6 kWh/Nm3-SNG, respectively, and the cost of SNG is within the range of 1.43–2.60 $/Nm3-SNG.

DOI： 10.1016/j.ccst.2023.100181

Scopus

Authorship：Last author   Language：English  

DOI： https://doi.org/10.1016/j.ijggc.2024.104094

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

This study proposes an integrated system of carbon capture and utilization (CCU) to produce synthetic natural gas (SNG), and performs a techno-economic analysis. The proposed system employs a direct air capture (DAC) process using a metal organic framework adsorbent and converts the captured CO2 into CH4 product using H2 produced by water electrolysis. Mass and energy balances in the main components of the system are described by rigorous mathematical models, enabling us to evaluate the capital and operating costs and energy consumption. In addition, a sensitivity analysis is carried out to find model parameters that influences the SNG cost.

DOI： 10.1016/B978-0-443-28824-1.50338-0

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Temperature swing adsorption (TSA) is one of the promising separation techniques for large-scale CO2 capture, and many adsorbents are being developed today. However, it is difficult to identify the optimal operating configurations of multi-bed TSA process to fully utilize the potential of a given adsorbent. This is because optimal operating conditions and cycle configurations are highly dependent on the adsorbent properties. In this work, we propose a comprehensive approach that maps adsorption isotherms to the optimal multi-bed TSA operation identified from various alternatives. A case study for separation of CO2 and N2 is presented where isotherm properties of the adsorbent are parameterized to analyze the influence on the optimal TSA operating cycle configurations and process performance. Our analysis shows that the optimal throughput increases by 68% when the CO2 selectivity is doubled, and 96% when the CO2 selectivity and capacity are both doubled. Furthermore, the frequency of the reflux operations and the cycle time in the optimal operating cycle are found to be dependent on the CO2 capacity.

DOI： 10.1016/j.cep.2023.109438

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

Abstract

Flexible metal–organic frameworks (flexible MOFs) are considered promising adsorbents for CO₂ capture, some of which have sigmoidal isotherm shapes that allow adsorption and desorption operations within a narrow partial pressure range. Nevertheless, modeling of adsorption processes employing flexible MOFs remains a challenge due to the unique isotherm shapes and kinetics. In this work, a Bayesian estimation framework is applied sequentially to handle two experimental data sets: isotherm and breakthrough measurements. The computational challenge for estimating the isotherm and kinetic parameters from the isotherm measurements and breakthrough experiments is resolved by Markov chain and sequential Monte Carlo methods. The uncertainties of the model parameters are obtained as probability distributions.

DOI： 10.1002/amp2.10165

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

This study proposes a CO2 capture process by temperature swing adsorption (TSA) using latent heat of evaporation for liquefied natural gas (LNG) as a cold energy source, which is currently unused and discarded into seawater. The proposed subambient process has several advantages: (1) the total energy cost can be saved by the LNG cold energy; (2) the equilibrium capacity of CO2 at subambient temperature can be increased substantially; and (3) water in the flue gas which would lead to deterioration of the adsorbent can be removed by a pretreatment step utilizing LNG cold energy. For the adsorbent in the TSA system, zeolite 13X, MIL-101, UiO-66, and CPL-1, which are considered effective for CO2 adsorption in the subambient, were considered and adsorption isotherm data were obtained at subambient conditions. Comparisons of these adsorbents were carried out using a rigorous dynamic model of the TSA process. It was found that CPL-1 gives a high recovery rate of 70% and purity of 95%. It was also found that the proposed system has the potential to capture up to 6% of the CO2 emitted from Japan.

DOI： 10.1016/j.ijggc.2023.103910

Scopus

Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)  

Pellets of elastic layer-structured metal–organic framework-11 (ELM-11), one of the flexible metal–organic frameworks (MOFs), were prepared by mixing ELM-11 powder with a cellulose binder, and the CO2 adsorption behavior of ELM-11 pellets in a fixed-bed adsorber was analyzed to estimate equilibrium and kinetic parameters. Adsorption breakthrough tests were performed under various conditions for the simulated flue gas (20 % CO2–80 % N2) of a blast furnace gas in addition to CO2 isotherm measurements. Experimental CO2 adsorption isotherms on ELM-11 followed a weighted dual-site Langmuir equilibrium model well. The breakthrough analysis results by numerical calculation using the equilibrium model suggested that the gate-opening pressure of ELM-11 shifted to a lower pressure through repeated breakthrough tests. The CO2 adsorption kinetics on ELM-11 pellets agreed well with the linear-driving-force model. Furthermore, CO2 adsorption behavior under various conditions was described well by a mathematical model using a constant value of the mass transfer coefficient under the condition of this study, which was validated against additional experimental data. In addition, it was found that the mass transfer becomes slow under certain conditions that the driving force of the phase transition of ELM-11 is smaller than a threshold, where the amount of CO2 adsorbed on the breakthrough tests did not reach the equilibrium capacity of CO2, which may because the rate-limiting step may be dependent on the CO2 partial pressure and temperature.

DOI： 10.1016/j.cej.2023.141781

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

Controlling crystal size distributions is critical to ensure the quality of products and operational efficiency for downstream processing. In batch cooling crystallization, temperature cycling strategies are often employed to control the crystal size distribution and minimize fines. Optimizing the complex operation of this strategy, where crystallization and dissolution occur in a single batch run, remains a challenge. For this problem, we develop a model of the process by a population balance considering nucleation, growth, and dissolution of crystals. In a case study of paracetamol in ethanol, the parameters in the population balance model were estimated from multiple experimental runs. The developed model was validated against additional experimental data sets, where the concentration and crystal size distributions of the final crystal products were predicted successfully. R2 values are greater than 0.96 in all cases.

DOI： 10.1021/acs.iecr.2c03465

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Model-based design and optimization methods facilitate industrial applications of chromatographic separations. The uncertainty of the model parameters must be quantified to ensure robust design and control. In this study, we propose an approach using the sequential Monte Carlo (SMC) method based on the Bayesian principle to estimate the uncertainty of the parameters. The linear driving force model for separation of phenol and p-cresol was considered as an example. By comparing different injection tests, we confirmed the necessity of pulse injection and breakthrough experiments to estimate parameters with sufficient accuracy and precision. We also found that modeling observation errors carefully is critical to obtain reasonable estimation.

DOI： 10.1016/j.chroma.2022.463703

Scopus

PubMed

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Journal of Advanced Manufacturing and Processing  

CO2 methanation, which converts CO2 and hydrogen into methane as fuel, is one of the promising candidates for the development of CO2 utilization technologies. Recently, a highly active catalyst made of Ni/ZrO2 for methanation has been developed, and is currently investigated as a potential use in a high-performance reactor. However, design of reactor must be carried out carefully, since this reaction is highly exothermic, which may cause reactor runaway and deterioration of catalysts. For this problem, a mathematical model that can predict the behavior inside the reactor is necessary. In this work, we consider the methanation reaction of CO2 in a reactor model and estimate the kinetic parameters in the reaction rate model from experimental data. In the parameter estimation using literature values and Tikhonov regularization, eight kinetic parameters in the rate equations were identified from 64 data points with a wide range of conditions. We confirm that molar fractions at the reactor exit predicted by this reactor model are in good agreement with the experimental results. Furthermore, the developed model was validated to predict the compositions and temperature that were not used in the estimation. We expect the developed model will be a powerful tool for the reactor design.

DOI： 10.1002/amp2.10145

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Adsorption processes are expected to play an important role in carbon dioxide capture, utilization and storage (CCUS). In particular, blast furnace gas (BFG) from the steel industry is one of the major sources of CO2 emissions, and reducing emissions from this source is a major challenge. BFG can be treated as valuable hydrogen (H2) source through water gas shift reactions, which may allow synthesis of methane and methanol if the purification of these two gases is possible. This study proposes and designs a new Vacuum Pressure Swing Adsorption (VPSA) process that consists of two tandem adsorption columns for simultaneous separation of H2 and CO2 from BFG. A mathematical model is developed to predict the performance of the proposed process. The model is fitted to the experimental data using a VPSA pilot plant, which were demonstrated to predict flow rates within an error of 6%. Furthermore, the model was used to perform multi-objective optimization to analyze trade-offs among throughput, energy consumption, CO2 purity, and recovery. Finally, we analyzed the optimal design and operating conditions such as pressure and column height.

DOI： 10.1007/s10450-022-00371-x

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：American Chemical Society (ACS)  

DOI： 10.1021/acssuschemeng.2c05058

Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)  

Pressure swing adsorption (PSA) is widely used in various gas separation processes. Many PSA operations have been proposed that require multiple beds having a rinse step in order to obtain a product gas of high purity. This operation may cause re-adsorption of desorbed gases on the adsorbent depending on the process design, which leads to a decrease in the productivity and energy efficiency. In this work, a simple vacuum type PSA (VPSA) process without a rinse step is proposed and demonstrated experimentally for CO2 separation. The proposed VPSA process fractionates the outlet gas from the bed, which allows flexible adjustment of the purity and recovery of the product gas exploiting isotherm nonlinearity. To investigate the performance of the proposed process, a dynamic VPSA simulation was conducted. The performance of this gas fraction VPSA was evaluated also experimentally at the laboratory scale to analyse the trade-offs amongst purity, recovery, productivity and energy efficiency. In our experiment, the highest CO2 recovery of 68.7% was obtained by the newly designed 2-column gas fraction VPSA at the feed gas volume of 76 NL-feed/kg-adsorbent/cycle, which is about 60% higher than 3-column VPSA with a rinse step. The CO2 separation energy estimated from experimental results with assumptions on the efficiency of the compressor and vacuum pump also indicated the possibility of further cost reduction at moderate CO2 purity.

DOI： 10.1016/j.ijggc.2022.103763

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

Rapid growth in global energy consumption has raised concern on the environmental impacts such as ozone layer depletion and climate change. Enclosed space, such as commercial buildings, accounts for about 40% of global energy consumption and the demand is constantly increasing due to increasing population, urbanization, and economic development. The energy demands in the building sector calls for strategic measures to develop energy efficient technologies. This paper presents a strategy to decrease energy demands inside buildings by proposing a ventilation system which regulates the enclosed air quality resulting in reduced air conditioning. The system consists of multiple adsorption beds with zeolite 13X monoliths for CO2 removal, and silica gel for humidity control, inside the enclosed space. The air conditioning system results in decrease in energy requirement and improvement in economics by 55% as compared with conventional ventilation system. The model is scaled up to the size comparable with total office inventory of New York City, and the reduction in carbon emissions by introducing the air composition control system for New York City is equivalent to replacing 57 million incandescent light bulbs by LEDs. This paper concludes that the air conditioning system proposed in this study results in the improvement in performance as compared to a conventional ventilation system and could reduce energy consumption inside commercial buildings.

DOI： 10.1016/j.apenergy.2022.119526

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：ELSEVIER  

To quantitatively analyze the inconsistencies commonly observed between experimental and simulated adsorption isotherms, parameter estimation of adsorption isotherm models was conducted by hierarchical Bayesian estimation with parameter uncertainties being quantified as probability distributions. The estimation method was implemented using Markov Chain Monte Carlo (MCMC) to analyze multiple data sets obtained from different sources, including a publicly available database. To describe the discrepancies of experimental and simulated adsorption data, the simulation data was set as the reference to which experimental measurements were compared. We applied the proposed approach to analyze CO2 adsorption isotherms that are measured and simulated on zeolite 13X and MIL-101(Cr). In these case studies, the discrepancy of CO2 adsorption isotherm was successfully quantified between experimental measurements and predictions given by molecular simulations using Grand Canonical Monte Carlo (GCMC), where uncertainties were quantified as probability distributions. Furthermore, experimental data sets that agree well with the GCMC simulation have been identified, providing insights into experimental and measurement methods as well as choosing the right assumptions in the molecular simulation.

DOI： 10.1016/j.seppur.2022.121371

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Part of collection (book)  

Recently, carbon dioxide capture utilization and storage (CCUS) is gaining attention as a way to reduce carbon dioxide emissions. Blast furnace gas (BFG) in the steel industry is one of the major sources of carbon dioxide (CO2) emissions, which has the potential to be a hydrogen (H2) source by water gas shift reaction to. In this work, we pursue simultaneous purification of H2 and CO2 from reformed BFG by pressure swing adsorption (PSA). A mathematical model of newly designed PSA for simultaneous separation of CO2 and H2 is developed from experimental results. After fitting to the experimental results to the model, we were able to reproduce the purity and recovery of the recovered gas with an error of about 5 %. The model was also used to perform multi- objective optimization of the PSA process. From the Pareto solutions, the relationship between energy consumption and throughput is analyzed. In addition, it was confirmed that there is an operation condition that can increase the purity of carbon dioxide and throughput while suppressing the decrease of purity and recovery of hydrogen.

DOI： 10.1016/B978-0-323-85159-6.50142-1

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Part of collection (book)  

To realize robust process design and operation of simulated moving bed (SMB) chromatography, prediction uncertainty in a model must be quantified. In this study, we quantify the prediction uncertainty as predictive distributions stemming from a model parameter uncertainty estimated from experimental data. The resulting predictive distributions provide insights into selecting experimental methods to assure reliability of the model predictions and parameters.

DOI： 10.1016/B978-0-323-85159-6.50157-3

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

Methanation of CO2 using H2 obtained by renewable energy sources has been gaining attention as one of the promising options for utilizing captured CO2 and surplus power obtained when intermittent power sources such as solar and wind energy are used. Herein, kinetics of CO2 methanation over Ni/ZrO2 was studied using a tubular quartz reactor at 0.9 MPa. The Sabatier reaction (CO2 + 4H2 = CH4 + 2H2O, ΔHr298K = – 165 kJ mol–1) was carried out under stoichiometric gas feeding (CO2/H2 = 1/4 v/v to CH4/H2O = 1/2 v/v), and its reaction rate was determined. The exothermic nature of CO2 methanation and extremely high catalytic activities increased the reaction temperature to 400–600 °C even when the feed-gas temperature was as low as 250–400 °C, and the gas hourly space velocity was as high as 3 × 106 h–1. Nonlinear regression analyses based on one- and multistep kinetic models were used to investigate the reaction rates to estimate the kinetic parameters. Both models with optimized parameters can reproduce the experimentally obtained CH4 formation rates for the entire range of the feed-gas conversion with a coefficient of determination (R2) of over 0.98.

DOI： 10.1021/acs.energyfuels.1c01534

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Many model-based optimization methods have been proposed for chromatographic processes to ensure product quality and efficiency, but uncertainty of model parameters should be considered to assure robust design and operation. In this study, we developed a sequential Monte Carlo (SMC) parameter estimation method for chromatographic processes to estimate the parameter uncertainty rigorously within a reasonable amount of computation time. As an example, separation of glucose and fructose is considered. Through the example using artificial data, we confirmed that SMC can perform estimations more efficiently than the existing method, Markov chain Monte Carlo. Furthermore, through the example using lab-scale experimental data, we confirm that the time and effort for the sample analysis to identify the concentration of each component can be eliminated. We also examined the relationship between the number of cores and computation time for parallel implementation of SMC.

DOI： 10.1016/j.cherd.2021.09.003

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.1016/j.seppur.2021.119932

DOI： https://doi.org/10.1016/j.seppur.2021.119932

Authorship：Last author,　Corresponding author  

DOI： 10.1002/amp2.10103

DOI： 10.1002/amp2.10103

Language：English   Publishing type：Research paper (scientific journal)  

Kinetic adsorption separation exploits differences in diffusion behavior of different adsorbates in materials and enables selection of the faster over the slower components despite possibly unfavorable equilibrium loading amounts. The aims of this article are to explore the material property space that leads to effective kinetic adsorption separation and to test the predictive value of the current ideal kinetic selectivity metric. This metric is the product of equilibrium selectivity and square root of their diffusivity ratio. Throughout our analysis, we use the Maxwell-Stefan diffusion formulation which has been shown to capture transient crystal diffusion characteristics with greater accuracy than a Fickian description. The study is conducted in two parts. Optimized purity-recovery pareto curves are generated for three-step PSA cycles for four Langmuir isotherms that have no equilibrium selectivity (=1), with varying diffusivity ratio and crystal radius. This highlighted the role of crystal radius and isotherm shape in bed performance objectives and not just the diffusivity ratio. A surrogateassisted illumination (SAIL) algorithm based on single crystal uptake simulations was used to cover a wider range of equilibrium selectivities in a fraction of the time taken for full PSA simulations. We conclude that for similar diffusivities and equilibrium selectivity, steeper isotherms show better kinetic separation performance, in agreement with the existing literature. In addition, the size of the crystal also strongly impacts optimal performance, whereas the diffusivity ratio was found to have a weaker than expected impact. Therefore, using the ideal kinetic selectivity metric mentioned earlier could, in certain cases, be inadequate for comparison of materials for kinetic separation of a target gas mixture. In addition, the combination of SAIL and the single crystal uptake model was successfully able to replicate observations made using full PSA cycle optimizations showing how a multifidelity modeling approach can be used to screen materials for kinetic adsorption separation design.

DOI： 10.1021/acs.iecr.0c05138

Scopus

Authorship：Lead author,　Last author,　Corresponding author   Publishing type：Research paper (scientific journal)  

© 2020, Springer Science+Business Media, LLC, part of Springer Nature. Many decisions must be made when determining design and operation of a chromatographic process. Such decisions should optimize the performance, including product purity, recovery, productivity, and desorbent consumption. For this problem, model-based optimization has been shown to be a powerful approach, aided by recent developments in modeling of chromatographic processes. In this article, past studies on model-based optimization for single and multi-column chromatographic processes are reviewed. Focus is placed on applications of mathematical programming techniques. More challenging problems including online optimization and flowsheet design are also discussed.

DOI： 10.1007/s10450-020-00251-2

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

Adsorption of CO2 from post-combustion flue gas is one of the leading candidates for globally impactful carbon capture systems. This work focused on understanding the opportunities and limitations of sub-ambient CO2 capture processes utilizing a multistage separation process. A hybrid process design using a combination of pressure-driven separation of CO2 from flue gas (e.g., adsorption- or membrane-based separation) followed by CO2-rich product liquefaction to produce high-purity (>99%) CO2 at pipeline conditions is considered. The operating pressure of the separation unit is a key cost parameter and also an important process variable that regulates the available heat removal necessary to reach the sub-ambient operating conditions. The economic viability of applying pressure swing adsorption (PSA) processes using fiber sorbent contactors with internal heat management was found to be most influenced by the productivity of the adsorption system, with productivities as high as 0.015 (Formula presented.) /kgsorb−1 sec−1 being required to reduce costs of capture below $60/ton CO2 captured. This analysis was carried out using a simplified two-bed process, and thus there is opportunity for further cost reduction with exploration of more complex cycle designs. Three exemplar fiber sorbents (MIL-101(Cr), UiO-66, and zeolite 13X) were considered for application in the sub-ambient process of PSA unit. Among the considered sorbents, zeolite 13X fiber composites were found to perform better at ambient temperatures as compared to sub-ambient. MIL-101(Cr) and UiO-66 fiber composites had improved purity, recovery, and productivity at colder temperatures reducing costs of capture as low as $61/ton CO2. Future economic improvement could be achieved by reducing the required operating pressure of the PSA unit and pushing the Pareto frontier closer to the final pipeline requirement via a combination of PSA cycle design and material selection.

DOI： 10.1002/aic.17403

Scopus

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

© 2020 In this study, a Bayesian approach is demonstrated to identify parameters in adsorption isotherm models. First, we demonstrate the data fusion with Bayesian analysis for which we use CO2 sorption on UiO-66 sorbents. This material has been studied by different groups to report CO2 adsorption data in the NIST database under different conditions. We unify the data in two different ways depending upon the assumption around the error distribution of the data. In the first case study, all the data are assumed to have a common error distribution regardless of the source, and in the second approach, the error distributions of data from different sources are distinguished from each other. We apply a Bayesian approach to perform an optimal experimental design to minimize the uncertainty in adsorption isotherm parameters.

DOI： 10.1016/j.compchemeng.2020.106774

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

© 2019 American Chemical Society. Appropriate selection of adsorbent materials is essential in developing adsorption-based processes such as CO2 capture. Approximate methods to evaluate material candidates exist using adsorbent evaluation metrics or simplified process models. These approximate methods do not, of course, completely describe the performance of adsorbents in real separation processes. Here, we assess the correlations between approximate predictions and detailed process models of pressure swing adsorption (PSA) at subambient temperatures for postcombustion CO2 capture using metal-organic frameworks (MOFs). Our results indicate that CO2 swing capacity and adsorbent performance score are useful in predicting the ranking of materials for this process. These results illustrate the opportunities and challenges in bridging approximate and detailed methods for evaluating adsorbents for cyclic separations processes.

DOI： 10.1021/acs.iecr.9b05363

Scopus

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

© 2019 Elsevier Ltd Estimation of isotherm model parameters from experimental data is necessary in adsorption process modeling. To facilitate isotherm modeling, databases that store experimental data exist. Nevertheless, data inconsistency among different researchers must be resolved to find a single set of isotherm parameters from multiple data sets. Herein, we propose a hierarchical Bayesian estimation method to quantify the discrepancy by a multiplicative factor while simultaneously obtaining the probability distributions of a single set of isotherm parameters. This approach also allows us to identify outliers, which are data sets that are not in agreement with other sets. The proposed approach is demonstrated for the case of CO2 adsorption in the metal-organic framework UiO-66.

DOI： 10.1016/j.ces.2019.115435

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Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Last author   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.compchemeng.2019.06.002

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Authorship：Corresponding author   Publishing type：Part of collection (book)  

DOI： 10.1016/j.cherd.2019.06.027

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Authorship：Last author,　Corresponding author   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.cep.2019.04.008

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Authorship：Last author,　Corresponding author   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10450-019-00048-y

Publishing type：Research paper (scientific journal)  

DOI： 10.1021/acs.iecr.8b02189

Publishing type：Research paper (scientific journal)  

DOI： 10.1021/acs.iecr.8b04361

Authorship：Last author   Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10450-018-9941-6

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Authorship：Last author,　Corresponding author   Publishing type：Research paper (scientific journal)  

© 2017 Elsevier Ltd An iterative approach is proposed to predict the optimal concentration profiles in an adsorption process and to simultaneously obtain parameters for a multicomponent isotherm by selecting representative liquid compositions for experimental measurements. The proposed approach was demonstrated for xylene adsorption on zeolite 13X that has undergone a barium ion exchange. Breakthrough experiments were performed at liquid compositions predicted by the process model, which was refined in an iterative manner with the experimental data. Robustness of the isotherm parameters for model uncertainty and variations in the process design were also analyzed.

DOI： 10.1016/j.ces.2017.05.043

Language：English   Publishing type：Research paper (scientific journal)   Publisher：NATURE PUBLISHING GROUP  

Heat is fundamental to power generation and many industrial processes, and is most useful at high temperatures because it can be converted more efficiently to other types of energy. However, efficient transportation, storage and conversion of heat at extreme temperatures (more than about 1,300 kelvin) is impractical for many applications. Liquid metals can be very effective media for transferring heat at high temperatures, but liquid-metal pumping has been limited by the corrosion of metal infrastructures. Here we demonstrate a ceramic, mechanical pump that can be used to continuously circulate liquid tin at temperatures of around 1,473-1,673 kelvin. Our approach to liquid-metal pumping is enabled by the use of ceramics for the mechanical and sealing components, but owing to the brittle nature of ceramics their use requires careful engineering. Our set-up enables effective heat transfer using a liquid at previously unattainable temperatures, and could be used for thermal storage and transport, electric power production, and chemical or materials processing.

DOI： 10.1038/nature24054

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ces.2017.01.065

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/acs.iecr.6b04914

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/acs.iecr.6b03887

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/acs.oprd.6b00294

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.cej.2016.04.062

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2016.08.072

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/aic.15381

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Publishing type：Research paper (scientific journal)  

© 2016 American Chemical Society. In this article, we demonstrate a model-based approach for controlling the average size of crystals produced by batch cooling crystallization. The method is distinguished most notably in the modeling strategy. Rather than developing a crystallization model within the population-balance framework, as is usually done, we apply a machine-learning technique to identify an empirical model from measurement data. The model is low-dimensional and can therefore be discretized and used with dynamic programming to obtain optimal control policies for producing crystals of targeted average sizes in prespecified batch run times. Experimental results are reported that demonstrate the use of the identified policies to produce crystals of the desired average sizes in the specified run times.

DOI： 10.1021/acs.iecr.5b03635

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.solener.2015.09.036

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Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ces.2015.06.048

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.solener.2015.08.019

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.compchemeng.2015.04.028

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/ceat.201500104

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/ie504603h

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.cej.2014.08.023

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.cej.2014.08.008

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

© 2015 Elsevier B.V. Greenhouse gas emissions from coal-fired power plants are expected to increase over the next 20 years as international demand for energy continues to grow. A rapid temperature swing adsorption (RTSA) process employing polymeric hollow fiber contactors loaded with sorbent particles has been demonstrated experimentally as a novel and efficient process for postcombustion CO < inf > 2 < /inf > capture. One of the advantages of the process is the rapid heat and mass transfer enabled by the hollow fibers. This feature can achieve efficient heat integration by recycling spent hot and cold water. In this chapter, a dynamic optimization strategy was employed to find the optimal operating conditions of a hollow fiber RTSA process. In the optimization problem, dynamic heat integration is performed to minimize the utility cost for hot and cold water while maintaining sufficient CO < inf > 2 < /inf > throughput. The optimal operation was evaluated by a detailed technoeconomic analysis for a plant capacity of 550 MW.

DOI： 10.1016/B978-0-444-63472-6.00010-0

Scopus

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/cg501368y

Web of Science

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1016/j.ifacol.2015.08.197

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.seppur.2014.08.006

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/ie501945j

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/jssc.201400516

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2014.07.080

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ces.2014.05.004

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ces.2014.04.013

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2014.06.028

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/ie500714p

Web of Science

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ces.2014.04.002

Web of Science

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/cg401484d

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/ie302952p

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2013.01.026

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/aic.13856

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ces.2012.10.031

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.ijhydene.2012.07.110

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2012.03.064

Web of Science

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2011.04.051

Web of Science

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10450-010-9299-x

Web of Science

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Language：English   Publishing type：Research paper (international conference proceedings)  

SMB represents one of the widely established periodic adsorption processes and its periodic and nonlinear dynamics presents a significant challenge to the formulation and solution of the optimal startup issue. A multistage startup concept allowing to adjust operating conditions stage-wise is proposed. The startup problem is then formulated aiming at driving the system towards the reference cyclic steady state (CSS) in an optimum manner. A tailored decomposition algorithm is developed to tackle the resulting optimization problem and guarantee numerical tractability. The feasibility of the solution approach is demonstrated on a binary separation with nonlinear competitive isotherms. It is found that the new startup policy dramatically reduces transient time and desorbent consumption. The startup performance in terms of product concentration and purity is also evaluated quantitatively. © 2009 IFAC.

DOI： 10.3182/20100705-3-BE-2011.0056

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2010.06.032

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.1016/j.chroma.2010.06.031

DOI： https://doi.org/10.1016/j.chroma.2010.06.031

Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10450-007-9074-9

Web of Science

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.compchemeng.2007.04.009

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/ie0601192

Web of Science

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.chroma.2006.08.037

Web of Science

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

Publishing type：Research paper (other academic)  

A system for the recovery of sucrose from affination syrup has been developed. The system consists of membrane filtration, softening using a spent NaCl stream, and Organo's New Simulated Moving Bed Chromatography, which is capable of separating three components. With the expected purity and recovery of sucrose with this system of 92-97% and 90-93%, respectively, this system will be a promising alternative for sugar refineries which seek improvements.

Publishing type：Research paper (bulletin of university, research institution)  

The robustness of three kinds of PID decoupling control systems of CSTR with uncertain dynamics is investigated. It has been found that within 5K or 5% of concentration of setpoint change in temperature or concentration of reactant of CSTR, each control system is robust enough for there to be less than 10% modeling errors in frequency factor and heat of reaction. Among the modeling errors in kinetic parameters, that of activation energy gives the most significant effect on the robustness of a control system of CSTR. Computer simulations have shown that a PID linearizing control system is much less robust against modeling error in activation energy compared to the other two PID decoupling control systems.

Language：English   Publishing type：Research paper (scientific journal)  

Event date： 2024.10

Language：English   Presentation type：Poster presentation  

Venue：Calgary   Country：Canada  

Event date： 2024.10

Language：English   Presentation type：Oral presentation (general)  

Venue：Milan   Country：Italy  

Event date： 2024.10

Language：English   Presentation type：Oral presentation (general)  

Venue：Milan   Country：Italy  

Event date： 2024.10

Language：English   Presentation type：Symposium, workshop panel (nominated)  

Venue：Tokyo   Country：Japan  

Event date： 2024.10

Language：English   Presentation type：Poster presentation  

Venue：Tokyo   Country：Japan  

Event date： 2024.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2024.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2024.9

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：福岡県福岡市   Country：Japan  

Event date： 2024.9

Language：English   Presentation type：Oral presentation (general)  

Venue：Avignon   Country：France  

Event date： 2024.6

Language：English   Presentation type：Poster presentation  

Venue：Florence   Country：Italy  

Event date： 2024.6

Language：English   Presentation type：Poster presentation  

Venue：Florence   Country：Italy  

Event date： 2024.3

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：堺市、大阪府   Country：Japan  

Event date： 2024.3

Language：English   Presentation type：Oral presentation (general)  

Venue：堺市、大阪府   Country：Japan  

Event date： 2024.1

Language：English   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：マクデブルク市   Country：Germany  

Event date： 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：金沢市   Country：Japan  

Event date： 2023.12

Language：Japanese  

Venue：金沢市   Country：Japan  

Event date： 2023.12

Language：Japanese   Presentation type：Oral presentation (keynote)  

Venue：金沢市   Country：Japan  

Event date： 2023.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Orlando, FL   Country：United States  

Event date： 2023.7

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2023.5

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：オンライン   Country：Japan  

Event date： 2023.3

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Country：Japan  

Event date： 2022.11

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2022.11

Language：English   Presentation type：Oral presentation (general)  

Country：Portugal  

Event date： 2022.11

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2022.11

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2022.10

Language：English   Presentation type：Oral presentation (general)  

Country：France  

Event date： 2022.10

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2022.8

Language：English   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2022.6

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2022.6

Language：English   Presentation type：Poster presentation  

Country：Japan  

Event date： 2022.5

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2022.5

Language：English   Presentation type：Oral presentation (invited, special)  

Country：United States  

Event date： 2022.5

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2022.4

Language：Japanese   Presentation type：Symposium, workshop panel (nominated)  

Country：Japan  

Event date： 2022.3

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2021.11

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2021.11

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2021.11

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2021.10

Language：English   Presentation type：Oral presentation (general)  

Venue：Online   Country：United Kingdom  

Event date： 2021.10

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2021.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン   Country：Japan  

Event date： 2021.6

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：Online  

Other Link： https://www.youtube.com/watch?v=pS-gHHSlO1Y

Event date： 2021.3

Language：Japanese   Presentation type：Poster presentation  

Country：Japan  

Event date： 2021.3

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Country：Japan  

Event date： 2020.12

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Online   Country：United States  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Online   Country：United States  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Online   Country：Taiwan, Province of China  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Online   Country：United States  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Online   Country：Taiwan, Province of China  

Event date： 2020.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Online   Country：Taiwan, Province of China  

Event date： 2020.9

Language：Japanese   Presentation type：Poster presentation  

Venue：オンライン   Country：Japan  

Event date： 2020.9

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Country：Japan  

Event date： 2020.9

Language：Japanese   Presentation type：Poster presentation  

Country：Japan  

Event date： 2019.12

Language：Japanese  

Venue：Nagoya, Japan   Country：Japan  

Event date： 2019.11

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2019.11

Language：Japanese  

Venue：Tokyo, Japan   Country：Japan  

Event date： 2019.11

Language：Japanese  

Venue：Nagoya University, Nagoya, Japan   Country：Japan  

Event date： 2019.11

Language：Japanese  

Venue：Nagoya University, Nagoya, Japan   Country：Japan  

Event date： 2019.11

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：Nagoya University, Nagoya, Japan   Country：Japan  

Event date： 2019.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Orlando, FL, USA   Country：United States  

Event date： 2019.9

Language：English  

Venue：Sapporo, Japan   Country：Japan  

Event date： 2019.5

Language：English  

Venue：Cairns, Australia   Country：Australia  

Event date： 2019.5

Language：English  

Venue：Cairs, Australia   Country：Australia  

Event date： 2019.5

Language：English  

Venue：Chiba, Japan   Country：Japan  

Event date： 2019.5

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：福島県   Country：Japan  

Event date： 2019.2

Language：Japanese  

Venue：Tokyo   Country：Japan  

Event date： 2019

Language：Japanese  

Venue：Tokyo   Country：Japan  

Event date： 2018.12

Language：Japanese  

Venue：University of Tokyo   Country：Japan  

Event date： 2018.11

Language：English  

Venue：Pittsburgh, PA, USA   Country：United States  

Event date： 2018.10

Language：English  

Venue：Pittsburgh, PA, USA   Country：United States  

Event date： 2018.10

Language：English  

Venue：Pittsburgh, PA, USA   Country：United States  

Event date： 2018.10

Language：Japanese  

Venue：Tokyo   Country：Japan  

Event date： 2018.9

Language：Japanese  

Venue：Kagoshima University   Country：Japan  

Event date： 2018.9

Language：Japanese  

Venue：Kagoshima University   Country：Japan  

Event date： 2018.9

Language：Japanese  

Venue：Kagoshima University   Country：Japan  

Event date： 2018.7

Language：Japanese  

Venue：Tokyo   Country：Japan  

Event date： 2018.7

Language：English  

Venue：San Diego, CA, USA   Country：United States  

Event date： 2018.7

Language：English   Presentation type：Oral presentation (general)  

Venue：San Diego, CA, USA   Country：United States  

Event date： 2018.5

Language：English  

Venue：Lund, Sweden   Country：Sweden  

Event date： 2018.3

Language：Japanese  

Venue：Nagoya University   Country：Japan  

Event date： 2018.1

Language：Japanese  

Venue：Nagoya University   Country：Japan  

Event date： 2017.10

Language：English  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.10

Language：English  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.10

Language：English  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.10

Language：English  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.10

Language：English  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.10

Language：English   Presentation type：Oral presentation (general)  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.10

Language：English   Presentation type：Oral presentation (general)  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2017.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2017.7

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：National University of Singapore, Singapore   Country：Singapore  

Event date： 2017.7

Language：English  

Venue：Philadelphia, PA, USA   Country：United States  

Event date： 2017.6

Language：English  

Venue：New London, NH, USA   Country：United States  

Event date： 2017.5

Language：English  

Venue：Atlanta, GA USA   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.11

Language：English  

Venue：San Francisco   Country：United States  

Event date： 2016.7

Language：English  

Venue：Philadelphia   Country：United States  

Event date： 2016.7

Language：English  

Venue：Philadelphia   Country：United States  

Event date： 2016.5

Language：English  

Venue：Friedrichshafen/Lake Constance, Germany   Country：United States  

Event date： 2016.5

Language：English  

Venue：Friedrichshafen/Lake Constance, Germany   Country：United States  

Event date： 2016.5

Language：English  

Venue：Friedrichshafen/Lake Constance, Germany   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.11

Language：English  

Venue：Salt Lake City, UT, USA   Country：United States  

Event date： 2015.9

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany   Country：Germany  

Event date： 2015.8

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：The Dow Chemical Company, Midland, MI, USA   Country：United States  

Event date： 2015.7

Language：English  

Venue：Philadelphia, PA, USA   Country：United States  

Event date： 2015.7

Language：English  

Venue：Chicago, IL, USA   Country：United States  

Event date： 2015.7

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2015.7

Language：English  

Venue：Philadelphia, PA, USA   Country：United States  

Event date： 2015.7

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：College Station, TX, USA   Country：United States  

Event date： 2015.6

Language：English  

Venue：British Columbia, Canada   Country：Canada  

Event date： 2015.6

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：The Research Institute of Innovative Technology for the Earth, Nara, Japan   Country：Japan  

Event date： 2015.6

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：YMC Co., Ltd., Kyoto, Japan   Country：Japan  

Event date： 2015.6

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：Kansau University, Osaka, Japan   Country：Japan  

Event date： 2015.3

Language：English  

Venue：Phoenix, AZ, USA   Country：United States  

Event date： 2015.3

Language：English  

Venue：Phoenix, AZ, USA   Country：United States  

Event date： 2014.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2014.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2014.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2014.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2014.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2014.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2014.10

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Basel, Switzerland   Country：Switzerland  

Event date： 2014.10

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：Lappeenranta University of Technology, Lappeenranta, Finland   Country：Finland  

Event date： 2014.9

Language：English  

Venue：Toulouse, France   Country：France  

Event date： 2014.9

Language：English  

Venue：Toulouse, France   Country：France  

Event date： 2014.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2014.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2014.7

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Boston, MA, USA   Country：United States  

Event date： 2014.6

Language：English  

Venue：Nara, Japan   Country：Japan  

Event date： 2014.5

Language：English  

Venue：Albuquerque, NM, USA   Country：United States  

Event date： 2014.4

Language：English  

Venue：New York, NY, USA   Country：United States  

Event date： 2013.12

Language：English  

Venue：Lawrenceville, GA, USA   Country：United States  

Event date： 2013.11

Language：English  

Venue：San Francisco, CA, USA   Country：United States  

Event date： 2013.11

Language：English  

Venue：San Francisco, CA, USA   Country：United States  

Event date： 2013.11

Language：English  

Venue：San Francisco, CA, USA   Country：United States  

Event date： 2013.11

Language：English  

Venue：San Francisco, CA, USA   Country：United States  

Event date： 2013.11

Language：English  

Venue：San Francisco, CA, USA   Country：United States  

Event date： 2013.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2013.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2013.5

Language：English  

Venue：Durham, NC, USA   Country：United States  

Event date： 2013.5

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Baltimore, MD   Country：United States  

Event date： 2013.5

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Baltimore, MD   Country：United States  

Event date： 2012.10

Language：English  

Venue：Pittsburgh, PA, USA   Country：United States  

Event date： 2012.10

Language：English  

Venue：Pittsburgh, PA, USA   Country：United States  

Event date： 2012.9

Language：English  

Venue：Brussels, Belgium   Country：Belgium  

Event date： 2012.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2012.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2012.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2012.5

Language：English  

Venue：Chattanooga, TN, USA   Country：United States  

Event date： 2012.5

Language：English  

Venue：Taipei, Taiwan   Country：Taiwan, Province of China  

Event date： 2011.10

Language：English  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2011.10

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Minneapolis, MN, USA   Country：United States  

Event date： 2011.7

Language：English  

Venue：Boston, MA, USA   Country：United States  

Event date： 2010.11

Language：English  

Venue：Salt Lake City, UT   Country：United States  

Event date： 2010.11

Language：English  

Venue：Salt Lake City, UT   Country：United States  

Event date： 2010.9

Language：English  

Venue：Stockholm, Sweden   Country：United States  

Event date： 2010.9

Language：English  

Venue：Stockholm, Sweden   Country：United States  

Event date： 2010.5

Language：English   Presentation type：Oral presentation (keynote)  

Venue：Awaji, Japan   Country：Japan  

Event date： 2010.5

Language：English  

Venue：Awaji, Japan   Country：Japan  

Event date： 2009.11

Language：English  

Venue：Atlanta, GA   Country：United States  

Event date： 2009.11

Language：English  

Venue：Nashville, TN   Country：United States  

Event date： 2009.11

Language：English  

Venue：Atlanta, GA, USA   Country：United States  

Event date： 2009.7

Language：English  

Venue：Philadelphia, PA   Country：United States  

Event date： 2009.5

Language：English  

Venue：Singapore   Country：Singapore  

Event date： 2009.3

Language：English  

Venue：Miami, FL   Country：United States  

Event date： 2008.11

Language：English  

Venue：Philadelphia, PA   Country：United States  

Event date： 2008.10

Language：English  

Venue：Zurich, Switzerland   Country：Switzerland  

Event date： 2008.9

Language：English  

Venue：Zurich, Switzerland   Country：Switzerland  

Event date： 2008.4

Language：English  

Venue：Berlin, Germany   Country：Germany  

Event date： 2008.3

Language：English  

Venue：Halle, Germany   Country：Germany  

Event date： 2007.7

Language：English  

Venue：Prague, Czech Republic   Country：Czech Republic  

Event date： 2007.5

Language：English  

Venue：Hamilton, Canada   Country：Canada  

Event date： 2007.5

Language：English  

Venue：Giardini Naxos, Sicily, Italy   Country：Italy  

Event date： 2006.11

Language：English  

Venue：Pittsburgh, PA   Country：United States  

Event date： 2006.11

Language：English  

Venue：San Francisco, CA   Country：United States  

Event date： 2006.6

Language：English  

Venue：Loire Valley (City of Tours), France   Country：United States  

Event date： 2005.10

Language：English  

Venue：Cincinnati, OH   Country：United States  

Event date： 2002.8

Language：Japanese  

Venue：Kobe, Japan   Country：Japan  

Event date： 1998.7

Language：Japanese  

Venue：Toyama, Japan   Country：Japan  

Application no：PCT/US2015/067701  Date applied：2015.12

Announcement no：WO2016133589 A1  Date announced：2016.8

Country of applicant：Foreign country  

Application no：PCT/US2015/034175  Date applied：2015.6

Announcement no：WO2015187931 A1  Date announced：2016.12

Country of applicant：Foreign country  

Application no：PCT/US2014/036602  Date applied：2014.5

Announcement no：WO2014179706 A3  Date announced：2014.12

Country of applicant：Foreign country  

Application no：US 14/228,634  Date applied：2014.3

Announcement no：US9534262 B2  Date announced：2017.1

Country of applicant：Foreign country  

Application no：PCT/US2012/059776  Date applied：2012.11

Announcement no：WO2013055932 A1  Date announced：2013.4

Country of applicant：Foreign country