TY - GEN A1 - Baena-Moreno, Francisco Manuel A1 - González-Castaño, Miriam A1 - Navarro de Miguel, Juan Carlos A1 - Miah, Kamal Uddin Mohammad A1 - Ossenbrink, Ralf A1 - Odriozola, José Antonio A1 - Arellano-García, Harvey T1 - Stepping toward Efficient Microreactors for CO2 Methanation: 3D Printed Gyroid Geometry T2 - ACS Sustainable Chemistry & Engineering N2 - This work presents a comparative study towards the development of efficient micro-reactors based on 3D-printed structures. Thus, the study evaluates the influence of the metal substrate geometry on the performance of structured catalysts for the CO2 methanation reaction. For this purpose, 0.5%Ru–15%Ni/MgAl2O4 catalyst is wash coated over two different micro-monolithic metal substrates: a conventional parallel channel honeycomb structure and a novel 3D-printed structure with a complex gyroid geometry. The effect of the metal substrate geometry is analyzed for several CO2 sources including ideal flue gas atmospheres, the presence of residual CH4 and CO in the flue gas, as well as simulated biogas sources. The advantages of the gyroid-3D complex geometries over the honeycomb structures are shown for all evaluated conditions, providing at the best-case scenario a 14% improvement of CO2 conversion. Moreover, this contribution shows that systematically tailoring geometrical features of structured catalysts becomes an effective strategy to achieve improved catalysts performances independent of the flue gas composition. By enhancing the transport processes and the gas-catalyst interactions, the employed gyroid 3D metal substrates enable boosted CO2 conversions and greater CH4 selectivity within diffusional controlled regimes. KW - CO2 methanation KW - gyroid geometry KW - CH4 selectivity KW - gyroid-3D complex Y1 - 2021 U6 - https://doi.org/10.1021/acssuschemeng.1c01980 SN - 2168-0485 VL - 9 IS - 24 SP - 8198 EP - 8206 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Navarro de Miguel, Juan Carlos A1 - Pernkova, A. A1 - Centeno, Miguel Angel A1 - Odriozola, José Antonio A1 - Arellano-García, Harvey T1 - Ni/YMnO3 perovskite catalyst for CO2 methanation T2 - Applied Materials Today N2 - Ni/YMnO3 perovskite catalyst for CO2 methanation KW - Ni catalysts KW - CO2 methanation KW - YMnO3 perovskites KW - manganites Y1 - 2021 U6 - https://doi.org/10.1016/j.apmt.2021.101055 VL - 23 ER - TY - GEN A1 - González-Castaño, Miriam A1 - González-Arias, Judith A1 - Sánchez, Marta Elena A1 - Cara-Jiménez, Jorge A1 - Arellano-García, Harvey T1 - Syngas production using CO2-rich residues: From ideal to real operating conditions T2 - Journal of CO2 utilization KW - RWGS KW - Cu-Mn catalyst KW - CO2-rich residual gas KW - alumina KW - SiO2 KW - CeO2 Y1 - 2021 U6 - https://doi.org/10.1016/j.jcou.2021.101661 SN - 2212-9839 VL - 52 ER - TY - GEN A1 - González-Arias, Judith A1 - González-Castaño, Miriam A1 - Sánchez, Marta Elena A1 - Cara-Jiménez, Jorge A1 - Arellano-García, Harvey T1 - Valorization of biomass-derived CO2 residues with Cu-MnOx catalysts for RWGS reaction T2 - Renewable Energy N2 - This study delivers useful understanding towards the design of effective catalytic systems for upgrading real CO2erich residual streams derived from biomass valorization. Within this perspective, a catalysts' series based on (5 wt%) Cu - (X wt%) Mn/Al2O3with X¼0, 3, 8, and 10 is employed. The improved catalyst performance achieved through Mn incorporation is ascribed to enhanced Cu dispersions and promoted surface basic concentrations. Under standard RWGS conditions, the highest reaction rates achieved by(5 wt%) Cu - (8 wt%) Mn/Al2O3catalyst were associated to improved Cu dispersions along with the constitution of highly active Cu-MnOxdomains. Remarkably, variations on the optimal Cu to Mn ratios were detected as a function of the RWGS reaction conditions. Thus, under simulated CO2-rich residual feedstock's, i.e., in presence of CO and CH4, the further promotion on the Cu dispersion attained by the larger amounts of MnOxrendered the (5 wt%) Cu - (10 wt%) Mn/Al2O3catalyst as the best performing sample. Overall, the presented outcomes underline operative strategies for developing catalytic systems with advanced implementation potentialities. KW - CO2 waste valorization KW - CO2-Rich residues KW - Reverse water gas shift KW - CO2 reduction KW - Cu-catalysts KW - Manganese oxide Y1 - 2022 U6 - https://doi.org/10.1016/j.renene.2021.10.029 SN - 1879-0682 IS - 182 SP - 443 EP - 451 ER - TY - GEN A1 - Gonzalez-Castano, Miriam A1 - Navarro de Miguel, Juan Carlos A1 - Boelte, Jens-H. A1 - Centeno, Miguel Angel A1 - Klepel, Olaf A1 - Arellano-García, Harvey T1 - Assessing the impact of textural properties in Ni–Fe catalysts for CO2 methanation performance T2 - Microporous and Mesoporous Materials N2 - In heterogeneous catalysis, the benefits of employing adequate textural properties on the catalytic performances are usually stated. Nevertheless, the quantification of the extent of improvement is not an easy task since variations on the catalysts’ specific areas and pore structures might involve modifications on a number of other surface catalytic features. This study establishes the impact of the catalyst textural properties on the CO2 methanation performance by investigating bimetallic Ni–Fe catalysts supported over carbon supports with different textural properties regarding surface area and pore structure. The comparable metal loading and dispersions attained for all systems enabled establishing forthright relationships between the catalyst textural properties and CO2 methanation rate. Once the influence of the external mass diffusions on the catalysts’ performance was experimentally discarded, the estimated Thiele modulus and internal effectiveness (φ and ηEff) values showed that the catalyst performance was majorly governed by the surface reaction rate whilst the pore size affected in no significant manner within the examined range (Dpore = 10.2 to 5.8 nm). Therefore, the rapport between the catalyst performance and surface area was quantified for the CO2 methanation reaction over Ni–Fe catalysts: increasing the surface area from 572 to 802 m2/g permit obtaining ca. 10% higher CO2 conversions. KW - Ni-Fe catalysts KW - CO2 methanation KW - Surface area KW - Pore size KW - Thiele modulus Y1 - 2021 U6 - https://doi.org/10.1016/j.micromeso.2021.111405 SN - 1387-1811 VL - 327 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Hani Kour, M. A1 - González-Arias, Judith A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-García, Harvey T1 - Promoting bioeconomy routes: From food waste to green biomethane. A profitability analysis based on a real case study in eastern Germany T2 - Journal of Environmental Management N2 - Profitability studies are needed to establish the potential pathways required for viable biomethane production in the Brandenburg region of Germany. This work study the profitability of a potential biomethane production plant in the eastern German region of Brandenburg, through a specific practical scenario with data collected from a regional biogas plant located in Alteno (Schradenbiogas GmbH & Co. KG). Several parameters with potential economic influence such as distance of the production point to the grid, waste utilization percentage, and investment, were analyzed. The results illustrate a negative overall net present value with the scenario of no governmental investment, even when considering trading the CO2 obtained throughout the process. Subsidies needed to reach profitability varied with distance from 13.5 €/MWh to 19.3 €/MWh. For a fixed distance of 15 kms, the importance of percentage of waste utilization was examined. Only 100% of waste utilization and 75% of waste utilization would reach profitability under a reasonable subsidies scheme (16.3 and 18.8 €/MWh respectively). Concerning the importance of investment, a subsidized investment of at least 70% is demanded for positive net present values. Besides, the sensitivity analysis remarks the energy consumption of the biogas upgrading stage, the electricity price, and the energy consumption of biogas production as major parameters to be tackled for the successful implementation of biogas upgrading plants. The results here obtained invite to ponder about potential strategies to further improve the economic viability of this kind of renewable projects. In this line, using the CO2 separated to produce added-value chemicals can be an interesting alternative. KW - Biomethane production KW - Biogas upgrading KW - Green energy KW - Governmental incentives KW - Waste valorization Y1 - 2021 U6 - https://doi.org/10.1016/j.jenvman.2021.113788 SN - 0301-4797 VL - 300 ER - TY - GEN A1 - González-Arias, Judith A1 - Baena-Moreno, Francisco Manuel A1 - González-Castaño, Miriam A1 - Arellano-García, Harvey T1 - Economic approach for CO2 valorization from hydrothermal carbonization gaseous streams via reverse water-gas shift reaction T2 - Fuel N2 - In this work the economic performance of valorizing the gaseous stream coming from hydrothermal carbonization (HTC) of olive tree pruning is presented as a novel strategy to improve the competitiveness of HTC. The valorization of the commonly disregarded gaseous stream produced in this thermochemical treatment was proposed via the Reverse Water–Gas Shift reaction. This allows to obtain syngas for selling and therefore improving the overall economic performance of the process. To this end, three plant sizes were selected (312.5, 625 and 1250 kg/h of biomass processing). The parameters with a higher share in the total cost distribution along with the revenues from the hydrochar and the syngas selling were further evaluated. The results evidenced that with the assumptions taken, the overall process is still not profitable. To reach profitability, syngas selling prices between 2.2 and 3.4 €/m3 are needed, revealing that this proposal is not economically attractive. Alternatively, a lack of competitiveness in the current market is revealed with hydrochar selling prices between 0.41 and 0.64 €/kg to make the project profitable. The catalyst cost, sharing approximately 20% of the total cost, is the parameter with the highest impact in the total economics of the process. The second one is the hydrogen price production, representing almost 16% of the total. Investment subsidies are also examined as a potential tool to cover part of the initial investment. These results evidenced that further efforts and measures are needed to push forward in the path towards circular economy societies. KW - Hydrothermal carbonization KW - CO2 waste valorization KW - Reverse water gas shift KW - Profitability analysis Y1 - 2022 U6 - https://doi.org/10.1016/j.fuel.2021.123055 SN - 0016-2361 VL - 313 SP - 1 EP - 7 ER - TY - GEN A1 - Tarifa, Pilar A1 - González-Castaño, Miriam A1 - Cazaña, F. A1 - Monzón, Antonio A1 - Arellano-García, Harvey T1 - Development of one-pot Cu/cellulose derived carbon catalysts for RWGS reaction T2 - Fuel N2 - A series of Cu-based catalysts promoted with Fe, Ce and Al supported on cellulose derived carbon (CDC) was prepared by biomorphic mineralization technique for the RWGS reaction. The excellent Cu dispersions (7 nm at ca. 30 wt% Cu) along with the resilience toward metal sintering attained in the entire catalysts series highlight one-pot decomposition of cellulose under reducing atmosphere as an excellent synthesis method which enable obtaining well-dispersed Cu nanoparticles. The influence of incorporating a second metal oxide over biomorphic mineralized Cu systems was also investigated. With the Cu-Ce system exhibiting the best catalyst performance of the catalysts’ series, the enhanced catalyst performances were majorly ascribed to the catalysts redox properties. The lineal relationships stablished between oxygen exchange capacity and CO2 conversion rates remarks the employed sequential H2/CO2 cycles as an effective methodology for screening the catalytic performance of Cu catalysts for RWGS reaction. KW - RWGS KW - Cu catalysts KW - Oxygen exchange capacity KW - Cellulose derived carbon Y1 - 2022 U6 - https://doi.org/10.1016/j.fuel.2022.123707 SN - 0016-2361 VL - Vol. 319 ER - TY - GEN A1 - Mahmood, Safdar A1 - González-Castaño, Miriam A1 - Penkova, Anna A1 - Centeno, Miguel Angel A1 - Odriozola, José Antonio A1 - Arellano-García, Harvey T1 - CO2 methanation on Ni/YMn1-xAlxO3 perovskite catalysts T2 - Applied Materials Today N2 - Seeking for advanced catalytic systems for the CO2 methanation reaction, the use of Ni supported catalysts over redox materials is often proposed. Profiting the superior redox properties described for layered perovskite systems, this work has investigated a series Ni supported YMn1-xAlxO3 (x = 0, 0.2, 0.5, 0.8, 1) perovskite catalysts. The obtained results evidenced the impact of the support nature on the systems redox properties and Ni-support interactions. Within the catalysts series, the greater methanation rates displayed by Ni/YMn0.5Al0.5O3 catalyst (0.748 mmolCO2,conv.s–1 gNi –1 at 400 ◦C and 60 L/gh) were associated to the interplay between the support redox properties and superior Ni dispersion. The improved redox behavior attained through the Al-incorporation (up to x = 0.5) was associated to the layered perovskite structures which, being distorted and constituted by smaller crystal sizes, facilitated the behavior of Mn redox couples as surface species readily interconverted. Exhibiting catalytic performances comparable to precious metals based catalysts, this work proposes the Ni/YMn0.5Al0.5O3 catalyst as an effective system for the CO2 methanation reaction. KW - CO2 methanation KW - Perovskites KW - Ni catalyst KW - Manganese KW - Aluminium Y1 - 2022 U6 - https://doi.org/10.1016/j.apmt.2022.101577 SN - 2352-9407 VL - 29 SP - 1 EP - 11 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Baena-Moreno, Francisco Manuel A1 - Navarro de Miguel, Juan Carlos A1 - Miah, Kamal Uddin Mohammad A1 - Arroyo-Torralvo, Fátima A1 - Ossenbrink, Ralf A1 - Odriozola, José Antonio A1 - Benzinger, Walther A1 - Hensel, Andreas A1 - Wenka, Achim A1 - Arellano-García, Harvey T1 - 3D-printed structured catalysts for CO2 methanation reaction: Advancing of gyroid-based geometries T2 - Energy Conversion and Management N2 - This work investigates the CO2 methanation rate of structured catalysts by tuning the geometry of 3D-printed metal Fluid Guiding Elements (FGEs) structures based on periodically variable pseudo-gyroid geometries. The enhanced performance showed by the structured catalytic systems is mostly associated with the capability of the FGEs substrate geometries for efficient heat usages. Thus, variations on the channels diameter resulted in ca. 25% greater CO2 conversions values at intermediate temperature ranges. The highest void fraction evidenced in the best performing catalyst (3D-1) favored the radial heat transfer and resulted in significantly enhanced catalytic activity, achieving close to equilibrium (75%) conversions at 400 ◦C and 120 mL/min. For the 3D-1 catalyst, a mathematical model based on an experimental design was developed thus enabling the estimation of its behavior as a function of temperature, spatial velocity, hydrogen to carbon dioxide (H2/CO2) ratio, and inlet CO2 concentration. Its optimal operating conditions were established under 3 different scenarios: 1) no restrictions, 2) minimum H2:CO2 ratios, and 3) minimum temperatures and H2/CO2 ratio. For instance, for the lattest scenario, the best CO2 methanation conditions require operating at 431 ◦C, 200 mL/min, H2/CO2 = 3 M ratio, and inlet CO2 concentration = 10 %. KW - 3D-printing KW - Triply periodic minimal surfaces KW - Fluid guiding elements KW - CO2 methanation KW - Structured catalysts KW - Experiment design Y1 - 2022 U6 - https://doi.org/10.1016/j.enconman.2022.115464 SN - 2590-1745 VL - 258 ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - González-Castaño, Miriam A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-García, Harvey ED - Kmiotek, M. ED - Kordos, A. T1 - CO2 methanation: on the modeling of reacting laminar flows in structured Ni/MgAl2O4 catalysts T2 - XXV Fluid Mechanics Conference, Rzeszów, Poland, 7-9 September 2022, Book of Abstracts Y1 - 2022 SN - 978-83-7934-590-8 SP - 98 EP - 100 PB - Publishing House of Rzeszów University of Technology CY - Rzeszów, Poland ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - González-Castaño, Miriam A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-García, Harvey T1 - CO2 methanation: on the modeling of reacting laminar flows in structured Ni/MgAl2O4 catalysts T2 - Journal of Physics: Conference Series Y1 - 2022 UR - https://iopscience.iop.org/article/10.1088/1742-6596/2367/1/012015 U6 - https://doi.org/10.1088/1742-6596/2367/1/012015 IS - 2367 PB - IOP Publishing ER - TY - GEN A1 - Mappas, Vassileios A1 - Vassiliadis, Vassilios S. A1 - Dorneanu, Bogdan A1 - Arellano-García, Harvey T1 - Maintenance scheduling optimisation of Reverse Osmosis Networks (RONs) via a multistage Optimal Control reformulation T2 - Desalination N2 - State-of-the-art approaches for membrane cleaning scheduling have focused on the Mixed-Integer Nonlinear Programming (MINLP) formulation so far, a strategy leading to a combinatorial problem that does not capture accurately the dynamic behaviour of the system. In this work, the Reverse Osmosis (RO) cleaning scheduling problem is solved using a novel approach based on the Multistage Integer Nonlinear Optimal Control Problem (MSINOCP) formulation. The approach produces an automated solution for the membrane cleaning scheduling, which also obviates the need for any form of combinatorial optimisation. Two different simulations, for 26 and 52 periods of operation (each period with a duration of one week), are carried out to illustrate the application of the proposed framework and the total cost is 1.17 and 2.48 10⁷ €, respectively. The RO network configuration considers 2 stages, each with 3 individual RO modules. The results show evidently that the new proposed solution framework can solve successfully this type of problems, even for large scale configurations, long time horizons and arbitrary realistic complexity of the underlying dynamic model of the RO process considered. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S0011916422005604?via%3Dihub U6 - https://doi.org/10.1016/j.desal.2022.116105 SN - 1873-4464 SN - 0011-9164 VL - 543 ER - TY - GEN A1 - Campos, Jean C. A1 - Manrique, Jose A1 - Dorneanu, Bogdan A1 - Ipanaqué, William A1 - Arellano-García, Harvey T1 - A smart decision framework for the prediction of thrips incidence in organic banana crops T2 - Ecological Modelling N2 - Various pests which diminish the quality of the fruit have a big influence on the organic banana production in the Piura region of Peru (and not only) and prevent it from being sold on the international market. In this study, a framework for facilitating the prediction of the pest incidence in organic banana crops is developed. To achieve this, a data acquisition system with smart sensors is implemented to monitor the meteorological variables that influence the growth of the pests. The proposed framework is utilised for the assessment of various mathematical representations of the pest incidence. These models are adapted from population growth functions and built in such way as to predict the behaviour of the insects at non-regular time intervals. A hybrid approach, combining mechanistic and data-based methods is utilised for the development of the models. Both linear and nonlinear dynamic relationships with the temperature are assumed. The results show that nonlinear model representations have greater accuracy (a fit index of more than 70%), which provides a basis for improving pest management actions on the organic banana farms. KW - Pest control KW - Organic banana KW - Mathematical modelling KW - Smart sensors KW - Precision agriculture Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S0304380022002484?via%3Dihub U6 - https://doi.org/10.1016/j.ecolmodel.2022.110147 SN - 1872-7026 VL - 473 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Zhang, Sushen A1 - Ruan, Hang A1 - Heshmat, Mohamed A1 - Chen, Ruijuan A1 - Vassiliadis, Vassilios S. A1 - Arellano-García, Harvey T1 - Big data and machine learning: A roadmap towards smart plants T2 - Frontiers of Engineering Management N2 - Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integration of digital components with the actual physical units involved. This process can be thought of as the addition of a central nervous system with a sensing and control monitoring of components and regulating the performance of the individual physical assets (processes, units, etc.) involved. Established technologies central to the digital integrating components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced data processing, storage and analysis, advanced process control, artificial intelligence and machine learning, cloud computing, and virtual and augmented reality. An essential element to this transformation is the exploitation of large amounts of historical process data and large volumes of data generated in real-time by smart sensors widely used in industry. Exploitation of the information contained in these data requires the use of advanced machine learning and artificial intelligence technologies integrated with more traditional modelling techniques. The purpose of this paper is twofold: a) to present the state-of-the-art of the aforementioned technologies, and b) to present a strategic plan for their integration toward the goal of an autonomous smart plant capable of self-adaption and self-regulation for short- and long-term production management. Y1 - 2022 UR - https://link.springer.com/article/10.1007/s42524-022-0218-0 U6 - https://doi.org/10.1007/s42524-022-0218-0 VL - 9 SP - 623 EP - 639 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Heshmat, Mohamed A1 - Mohamed, Abdelrahim A1 - Arellano-García, Harvey T1 - Monitoring of smart chemical processes: A Sixth Sense approach T2 - Computer Aided Chemical Engineering N2 - This paper introduces the development of an intelligent monitoring and control framework for chemical processes, integrating the advantages of technologies such as Industry 4.0, cooperative control or fault detection via wireless sensor networks. The system described is able to detect faults using information on the process’ structure and behaviour, information on the equipment and expert knowledge. Its integration with the monitoring system facilitates the detection and optimisation of controller actions. The results indicate that the proposed approach achieves high fault detection accuracy based on plant measurements, while the cooperative controller improves the operation of the process. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323851596502268?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-85159-6.50226-8 SN - 1570-7946 VL - 49 SP - 1357 EP - 1362 ER - TY - GEN A1 - Yentumi, Richard A1 - Dorneanu, Bogdan A1 - Arellano-García, Harvey T1 - Mathematical modelling, simulation and optimisation of an indirect water bath heater at the Takoradi distribution station (TDS) T2 - Computer Aided Chemical Engineering N2 - In this contribution, a dynamic first principles model of an existing 3.01 MW natural gas fired water bath heater (WBH) in operation at the Takoradi Distribution Station (TDS) in Ghana is developed primarily to predict the outlet temperature of the natural gas stream being heated. The model is intended to be applied during operations to provide useful data to optimise material and energy consumption, as well as minimise CO2 emissions. Due to the low thermal efficiencies of WBHs, even small improvements in efficiency can result in significant savings. The firetube and process coils are both modelled as onedimensional (1D) thin-walled tubes and the entire model incorporates mass and energy conservation equations, heat transfer rate relations and rigorous thermodynamic p-V-T relations. In contrast to what commonly exists in literature, this model accurately estimates the enthalpy change of the natural gas stream being heated by accounting for its enthalpy departure correction term due to pressure, in addition to the ideal gas heat capacity relation which is a function of only temperature. The coupled ordinary differential and algebraic equations are implemented using gPROMS® ModelBuilder® V4.2.0, a commercial modelling and simulation software. Verification of the model results showed good agreement between the model predictions and actual on field measurements. With excess air at 15%, the simulation results closely approximate measured data with an absolute error of about 0.31 %. More importantly, the results show that significant savings of up to 30% per annum can be made through optimal operation of the water bath heater. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323851596501639?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-85159-6.50163-9 SN - 1570-7946 VL - 49 SP - 979 EP - 984 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Vassiliadis, Vassilios S. A1 - Arellano-García, Harvey T1 - Maintenance scheduling optimization for decaying performance nonlinear dynamic processes T2 - Computer Aided Chemical Engineering N2 - A first contribution of this paper is an overview of the research efforts and contributions over several decades in the area of scheduling maintenance optimization for decaying performance dynamic processes. Following breakthrough ideas and implementation in the area of heat exchanger networks for optimal scheduling of cleaning actions subject to exchanger surface fouling, these concepts were transferred successfully to the area of scheduling catalyst replacement actions in catalytic reactor networks. This necessary overview leads to the main, second contribution aimed with this work: its application to restorative maintenance scheduling in the area of RON regeneration actions planning, as well as point to new areas where this approach can be fruitfully applied to and extended into in the near future – particularly enhancing model descriptions that include general types of planning uncertainty. The effectiveness and efficacy of the approach is demonstrated computationally in this work. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323851596500841?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-85159-6.50084-1 SN - 1570-7946 VL - 49 SP - 505 EP - 510 ER - TY - GEN A1 - Sebastia-Saez, Daniel A1 - Hernandez, Leonor A1 - Arellano-García, Harvey A1 - Enrique Julia, Jose T1 - Numerical and experimental characterization of the hydrodynamics and drying kinetics of a barbotine slurry spray T2 - Chemical Engineering Science N2 - Spray drying is a basic unit operation in several process industries such as food, pharmaceutical, ceramic, and others. In this work, a Eulerian-Lagrangian three-phase simulation is presented to study the drying process of barbotine slurry droplets for the production of ceramic tiles. To this end, the simulated velocity field produced by a spray nozzle located at the Institute of Ceramic Technology in Castelló (Spain) is benchmarked against measurements obtained by means of laser Doppler anemometry in order to validate the numerical model. Also, the droplet size distribution generated by the nozzle is obtained at operating conditions by means of laser diffraction and the data obtained are compared qualitatively to those found in the literature. The characteristic Rosin-Rammler droplet size from the distribution is introduced thereafter in the three-phase simulation to analyse the drying kinetics of individual droplets. The model predicts the theoretical linear evolution of the square diameter (D²-law), and the temperature and mass exchange with the environment. The proposed model is intended to support the design and optimization of industrial spray dryers. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/pii/S0009250918308170?via%3Dihub U6 - https://doi.org/10.1016/j.ces.2018.11.040 SN - 1873-4405 SN - 0009-2509 VL - 195 SP - 83 EP - 94 ER - TY - GEN A1 - Foster, Niall A1 - Sebastia-Saez, Daniel A1 - Arellano-García, Harvey T1 - Fractal branch-like fractal shell-and-tube heat exchangers: A CFD study of the shell side performance T2 - IFAC-PapersOnLine N2 - Nature has provided some of the most ingenious and elegant solutions to complex problems over millions of years of refining through evolution. The adaptation of Nature´s solutions to engineering problems is a recent trend which has opened opportunities for improvement in many areas ranging from Architecture to Chemical Engineering. In particular, the use of fractal geometries on heat exchangers is a recent design trend. Recent investigations highlight the benefit of implementing fractal-based geometries on the tube side of shell and tube heat exchangers. A complete evaluation of such devices by assessing the performance of the shell side has not been undertaken, though. Here, we present a systematic numerical assessment of the shell side of a tree-like shaped heat exchanger. Key performance parameters, i.e. temperature change, pressure drop and coefficient of performance, are obtained and compared to those of a straight tube, in order to fully understand the potential of the application of fractal-based shapes to the design of heat exchangers. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/pii/S2405896319301296?via%3Dihub U6 - https://doi.org/10.1016/j.ifacol.2019.06.044 SN - 2405-8963 VL - 52 IS - 1 SP - 100 EP - 105 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Masham, Elliot A1 - Mechleri, Evgenia A1 - Arellano-García, Harvey T1 - Centralised versus localised supply chain management using a flow configuration model T2 - Computer Aided Chemical Engineering N2 - Traditional food supply chains are often centralised and global in nature. Moreover they require a large amount of resource which is an issue in a time with increasing need for more sustainable food supply chains. A solution is to use localised food supply chains, an option theorised to be more sustainable, yet not proven. Therefore, this paper compares the two systems to investigate which one is more environmentally friendly, cost efficient and resilient to disruption risks. This comparison between the two types of supply chains, is performed using MILP models for an ice cream supply chain for the whole of England over the period of a year. The results obtained from the models show that the localised model performs best environmentally and economically, whilst the traditional, centralised supply chain performs best for resilience. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128186343502319?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50231-9 SN - 1570-7946 VL - 46 SP - 1381 EP - 1386 ER -