TY - CHAP A1 - Bürger, Patrick A1 - Flores-Alsina, Xavier A1 - Arellano-Garcia, Harvey A1 - Gernaey, Krist V. ED - Espuña, Antonio ED - Graells, Moisès ED - Puigjaner, Luis T1 - Improving the prediction of phosphate dynamics in biotechnological processes: A case study based on antibiotic production using Streptomyces coelicolor T2 - 27th European Symposium on Computer Aided Process Engineering, Spain, 2017 KW - Streptomyces coelicolor KW - speciation modelling KW - polyphosphate KW - precipitation Y1 - 2017 SN - 978-0-444-63965-3 SP - 2869 EP - 2874 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Bürger, Patrick A1 - Flores-Alsina, Xavier A1 - Arellano-Garcia, Harvey A1 - Gernaey, Krist V. T1 - Improved Prediction of Phosphorus Dynamics in Biotechnological Processes by Considering Precipitation and Polyphosphate Formation: A Case Study on Antibiotic Production with Streptomyces coelicolor T2 - Industrial & engineering chemistry research N2 - Improved Prediction of Phosphorus Dynamics in Biotechnological Processes by Considering Precipitation and Polyphosphate Formation: A Case Study on Antibiotic Production with Streptomyces coelicolor KW - Polyphosphate KW - Streptomyces coelicolor KW - Antibiotic Y1 - 2018 U6 - https://doi.org/10.1021/acs.iecr.7b05249 SN - 1520-5045 SN - 0888-5885 VL - 57 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Navarro de Miguel, Juan Carlos A1 - Sinha, F. A1 - Ghomsi Wabo, Samuel A1 - Klepel, Olaf A1 - Arellano-Garcia, Harvey T1 - Cu supported Fe-SiO2 nanocomposites for reverse water gas shift reaction T2 - Journal of CO2 Utilization N2 - This work analyses the catalytic activity displayed by Cu/SiO2, Cu-Fe/SiO2 and Cu/FSN (Fe-SiO2 nanocomposite) catalysts for the Reverse Water Gas Shift reaction. Compared to Cu/SiO2 catalyst, the presence of Fe resulted on higher CO’s selectivity and boosted resistances against the constitution of the deactivation carbonaceous species. Regarding the catalytic performance however, the extent of improvement attained through incorporation Fe species strongly relied on the catalysts’ configuration. At 30 L/gh and H2:CO2 ratios = 3, the performance of the catalysts’ series increased according to the sequence: Cu/SiO2 < Cu-Fe/SiO2 << Cu/FSN. The remarkable catalytic enhancements provided by Fe-SiO2 nanocomposites under different RWGS reaction atmospheres were associated to enhanced catalyst surface basicity’s and stronger Cu-support interactions. The catalytic promotion achieved by Fe-SiO2 nanocomposites argue an optimistic prospective for nanocomposite catalysts within future CO2-valorising technologies. KW - Cu catalysts KW - Fe-doped silica KW - Nanocomposites KW - Reverse water gas shift reaction Y1 - 2021 U6 - https://doi.org/10.1016/j.jcou.2021.101493 SN - 2212-9820 VL - 46 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Ivanova, Svetlana A1 - Ioanides, Theophiles A1 - Centeno, Miguel Angel A1 - Arellano-Garcia, Harvey A1 - Odriozola, José Antonio T1 - Zr and Fe on Pt/CeO2-MOx/Al2O3 catalysts for WGS reaction T2 - International Journal of Energy Research N2 - By evaluating the functional modifications induced by Zr and Fe as dopants in Pt/CeO2‐MOx/Al2O3 catalysts (M = Fe and Zr), the key features for improving water gas shift (WGS) performance for these systems have been addressed. Pt/ceria intrinsic WGS activity is often related to improved H2 surface dynamics, H2O absorption, retentions and dissociation capacities which are influenced greatly by the support nature. Two metals, iron and zirconia, were chosen as ceria dopants in this work, either in separate manner or combined. Iron incorporation resulted in CO‐redox properties and oxygen storage capacities (OSC) improvement but the formation of Ce‐Fe solid solutions did not offer any catalytic benefit, while the Zr incorporation influenced in a great manner surface electron densities and shows higher catalytic activity. When combined both metals showed an important synergy evidenced by 30% higher CO conversions and attributed to greater surface electron densities population and therefore absorption and activity. This work demonstrates that for Pt/ceria catalysts OSC enhancement does not necessarily imply a catalytic promotion. KW - doped ceria KW - FE KW - H2-TPD KW - Pt/ceria catalysts KW - WGS reaction KW - WGS-TPSR KW - Zr Y1 - 2021 U6 - https://doi.org/10.1002/er.6646 SN - 1099-114X ER - TY - GEN A1 - González-Arias, Judith A1 - González-Castaño, Miriam A1 - Arellano-García, Harvey A1 - Lichtfouse, Eric A1 - Zhang, Zhien T1 - Unprofitability of small biogas plants without subsidies in the Brandenburg region T2 - Environmental Chemistry Letters N2 - The circular economy is calling for the rapid use of already-developed renewable energies. However, the successful implementation of those new fuels is limited by economic and political issues. For instance, in the Brandenburg region, Germany, biogas production from anaerobic digestion of biomass and wastes is a current alternative. However, the upgrading biogas to biomethane is still challenging and the economic viability is unknown. Therefore, we performed an economic analysis for biogas upgrading to biomethane in the Brandenburg region. Five biogas plant sizes were analyzed by the method of discounted cash flow. This method yields the net present value of the projects, thus revealing the profitability or non-profitability of the plants. Results indicate profitable outputs for medium and large plants, with net present values between 415 and 7009 k€. However, the smallest plants have net present values from -4250 to -3389 k€, thus needing further economic efforts or subsidies to reach profitability. Indeed, biomethane prices should range between 52.1 and 95.6 €/MWh to make these projects profitable. Combinations of 50% of investment subsidized and 11.5 €/MWh feed-in tariffs subsidies could make the projects reach profitability. These findings reveal that political actions such as green policies and subsidies are needed to implement green energy. This case study should serve as a potential tool for policy-makers toward a sustainable bioeconomy. KW - Biomethane production KW - Biogas upgrading KW - Green energy KW - Brandenburg development KW - Waste valorization KW - Energy independence Y1 - 2021 U6 - https://doi.org/10.1007/s10311-020-01175-7 SN - 1610-3661 ER - TY - GEN A1 - Baena-Moreno, Francisco Manuel A1 - González-Castaño, Miriam A1 - Arellano-Garcia, Harvey A1 - Ramirez Reina, Tomas T1 - Exploring profitability of bioeconomy paths: Dimethyl ether from biogas as case study T2 - Energy N2 - Herein a novel path is analysed for its economic viability to synergize the production of biomethane and dimethyl ether from biogas. We conduct a profitability analysis based on the discounted cash flow method. The results revealed an unprofitable process with high cost/revenues ratios. Profitable scenarios would be reached by setting prohibitive DME prices (1983–5566 €/t) or very high feed-in tariffs subsidies (95.22 €/MWh in the best case scenario). From the cost reduction side, the analysis revealed the need of reducing investment costs. For this purpose, we propose a percentage of investment as incentive scheme. Although the size increase benefits cost/revenues ratio, only the 1000 m3/h biogas plant size will reach profitability if 90% of the investment is subsidized. A sensitivity analysis to check the influence of some important economical parameters is also included. Overall this study evidences the big challenge that our society faces in the way towards a circular economy. KW - Biomethane production KW - Biogas upgrading KW - CO2 utilization KW - Green energy production KW - Waste valorization KW - Dimethyl ether Y1 - 2021 U6 - https://doi.org/10.1016/j.energy.2021.120230 SN - 0360-5442 VL - 225 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Saché, Estelle le A1 - Berry, Cameron A1 - Pastor-Pérez, Laura A1 - Arellano-Garcia, Harvey A1 - Wang, Qiang A1 - Ramirez Reina, Tomas T1 - Nickel Phosphide Catalysts as Efficient Systems for CO2 Upgrading via Dry Reforming of Methane T2 - Catalysts N2 - This work establishes the primordial role played by the support’s nature when aimed at the constitution of Ni2P active phases for supported catalysts. Thus, carbon dioxide reforming of methane was studied over three novel Ni2P catalysts supported on Al2O3, CeO2 and SiO2-Al2O3 oxides. The catalytic performance, shown by the catalysts’ series, decreased according to the sequence: Ni2P/Al2O3 > Ni2P/CeO2 > Ni2P/SiO2-Al2O3. The depleted CO2 conversion rates discerned for the Ni2P/SiO2-Al2O3 sample were associated to the high sintering rates, large amounts of coke deposits and lower fractions of Ni2P constituted in the catalyst surface. The strong deactivation issues found for the Ni2P/CeO2 catalyst, which also exhibited small amounts of Ni2P species, were majorly associated to Ni oxidation issues. Along with lower surface areas, oxidation reactions might also affect the catalytic behaviour exhibited by the Ni2P/CeO2 sample. With the highest conversion rate and optimal stabilities, the excellent performance depicted by the Ni2P/Al2O3 catalyst was mostly related to the noticeable larger fractions of Ni2P species established KW - Ni2P KW - supported catalysts KW - dry reforming of methane KW - Al2O3 KW - CeO2 KW - SiO2-Al2O3 Y1 - 2021 U6 - https://doi.org/10.3390/catal11040446 SN - 2073-4344 VL - 11 IS - 4 ER - TY - GEN A1 - González-Castaño, Miriam A1 - Hani Kour, M. A1 - González-Arias, Judith A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-Garcia, 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 - González-Castaño, Miriam A1 - Sánchez, Marta Elena A1 - Cara-Jiménez, Jorge A1 - Arellano-Garcia, 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 - González-Arias, Judith A1 - Baena-Moreno, Francisco Manuel A1 - González-Castaño, Miriam A1 - Arellano-Garcia, 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 - Mahmood, Safdar A1 - González-Castaño, Miriam A1 - Penkova, Anna A1 - Centeno, Miguel Angel A1 - Odriozola, José Antonio A1 - Arellano-Garcia, 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 - Medina Méndez, Juan Ali A1 - González-Castaño, Miriam A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-Garcia, 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-Garcia, 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-Garcia, 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-Garcia, 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 - Yentumi, Richard A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, 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-Garcia, 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-Garcia, 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-Garcia, 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-Garcia, 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 - TY - GEN A1 - Yentumi, Richard A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Modelling and optimal operation of a natural gas fired natural draft heater T2 - Computer Aided Chemical Engineering N2 - Current industrial trends promote reduction of material and energy consumption of fossil fuel burning, and energy-intensive process equipment. It is estimated that approximately 75% of the energy consumption in hydrocarbon processing facilities is used by such equipment as fired heater, hence even small improvements in the energy conservation may lead to significant savings [1, 2]. In this work, a mathematical modelling and optimisation study is undertaken using gPROMS® ProcessBuilder® to determine the optimal operating conditions of an existing API 560 Type-E vertical-cylindrical type natural draft fired heater, in operation at the Atuabo Gas Processing Plant (GPP), in the Western Region of Ghana. It is demonstrated that the optimisation results in significant reduction of fuel gas consumption and operational costs. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012818634350165X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50165-X SN - 1570-7946 VL - 46 SP - 985 EP - 990 ER - TY - GEN A1 - Al-Hmoud, Aya A1 - Sebastia-Saez, Daniel A1 - Arellano-Garcia, Harvey T1 - Comparative CFD analysis of thermal energy storage materials in photovoltaic/thermal panels T2 - Computer Aided Chemical Engineering N2 - Photovoltaic/thermal systems are a novel renewable energy approach to transform incident radiation into electricity and simultaneously store the excess thermal energy produced. Both sensible and latent heat storage materials have been investigated in the past for thermal storage; with desert sand having been recently considered as an efficient and inexpensive alternative. In this work, we use a transient Computational Fluid Dynamics simulation to compare the performance of desert sand to that of well-established phase-change materials used in photovoltaic/thermal systems. The simulation gives as a result the temperature profiles within the device as well as the time evolution of the charge/discharge cycles when using PCMs. The results show the suitability of desert sand as a thermal storage material to be used in photovoltaic/thermal systems. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128186343501338?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50133-8 SN - 1570-7946 VL - 46 SP - 793 EP - 798 ER - TY - GEN A1 - Mechleri, Evgenia A1 - Sidnell, Tim A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Optimisation and control of a distributed energy resource network using Internet-of-Things technologies T2 - Computer Aided Chemical Engineering N2 - This work investigates the use of variable pricing to control electricity imported and exported to and from both fixed and unfixed distributed energy resource network designs within the UK residential sector. It was proven that networks which utilise much of their own energy and import little from the national grid are barely affected by variable import pricing, but are encouraged to export more energy to the grid by dynamic export pricing. Dynamic import and export pricing increased CO2 emissions due to feed-in tariffs which encourages CHP generation over lower-carbon technologies such as solar panels or wind turbines. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012818634350014X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50014-X SN - 1570-7946 VL - 46 SP - 79 EP - 84 ER - TY - GEN A1 - Arellano-Garcia, Harvey A1 - Dorneanu, Bogdan A1 - Mechleri, Evgenia T1 - Devicification of Food Process Engineering T2 - Reference Module in Chemistry, Molecular Sciences and Chemical Engineering N2 - Food and beverages industry is facing major challenges in the years to come, as the world population is expected to grow, accompanied by a growing need for energy, feed and fuel. Much of the processing in the food industry is performed in small-scale decentralized plants, with relatively few possibilities of energy recovery. Innovation in areas such as process and product modeling, process intensification and process control enable the development of new manufacturing pathways, more efficient, versatile, selective and sustainable. Furthermore, the addition of Internet of Things elements and the way they connect to the physical process will ensure continuous communication between the various actors of the food value chain. This will enable the design of new compact, scalable, flexible, modular, and automated production equipment that will offer food manufacturers the ability to respond rapidly, economically, accurately and flexibly to the consumer demands. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/pii/B9780124095472144269?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-409547-2.14426-9 VL - 2019 ER - TY - GEN A1 - Stephenson, Ted A1 - Carvalho Ellero, Caio A1 - Sebastia-Saez, Daniel A1 - Klymenko, Oleksiy A1 - Battley, Angela Maria A1 - Arellano-Garcia, Harvey T1 - Numerical modelling of the interaction between eccrine sweat and textile fabric for the development of smart clothing T2 - International Journal of Clothing Science and Technology N2 - Purpose Live non-invasive monitoring of biomarkers is of great importance for the medical community. Moreover, some studies suggest that there is a substantial business gap in the development of mass-production commercial sweat-analysing wearables with great revenue potential. The objective of this work is to quantify the concentration of biomarkers that reaches the area of the garment where a sensor is positioned to advance the development of commercial sweat-analysing garments. Design/methodology/approach Computational analysis of the microfluidic transport of biomarkers within eccrine sweat glands provides a powerful way to explore the potential for quantitative measurements of biomarkers that can be related to the health and/or the physical activity parameters of an individual. The numerical modelling of sweat glands and the interaction of sweat with a textile layer remain however rather unexplored. This work presents a simulation of the production of sweat in the eccrine gland, reabsorption from the dermal duct into the surrounding skin and diffusion within an overlying garment. Findings The model represents satisfactorily the relationship between the biomarker concentration and the flow rate of sweat. The biomarker distribution across an overlying garment has also been calculated and subsequently compared to the minimum amount detectable by a sensor previously reported in the literature. The model can thus be utilized to check whether or not a given sensor can detect the minimum biomarker concentration threshold accumulated on a particular type of garment. Originality/value The present work presents to the best of our knowledge, the earliest numerical models of the sweat gland carried out so far. The model describes the flow of human sweat along the sweat duct and on to an overlying piece of garment. The model considers complex phenomena, such as reabsorption of sweat into the skin layers surrounding the duct, and the structure of the fibres composing the garment. Biomarker concentration maps are obtained to check whether sensors can detect the threshold concentration that triggers an electric signal. This model finds application in the development of smart textiles. Y1 - 2020 UR - https://www.emerald.com/insight/content/doi/10.1108/IJCST-07-2019-0100/full/html U6 - https://doi.org/10.1108/IJCST-07-2019-0100 SN - 0955-6222 VL - 32 IS - 5 SP - 761 EP - 774 ER - TY - GEN A1 - Anagnostopoulos, Argyrios A1 - Sebastia-Saez, Daniel A1 - Campbell, Alasdair N. A1 - Arellano-Garcia, Harvey T1 - Finite element modelling of the thermal performance of salinity gradient solar ponds T2 - Energy N2 - Solar ponds are a promising technology to capture and store solar energy. Accurate, reliable and versatile models are thus needed to assess the thermal performance of salinity gradient solar ponds. A CFD simulation set-up has been developed in this work to obtain a fully versatile model applicable to any practical scenario. Also, a comparison between the results obtained with an existing one-dimensional MATLAB model and the two- and three-dimensional CFD models developed in this work has been carried out to quantify the gain in accuracy and the increase in computational resources needed. The two and three-dimensional models achieve considerably higher accuracy than the 1-D model. They are subsequently found to accurately evaluate the heat loss to the surroundings, the irradiance absorbed by the solar pond and the thermal performance of the pond throughout the year. Two geographic locations: Bafgh (Iran) and Kuwait City, have been evaluated. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/pii/S0360544220309683?via%3Dihub U6 - https://doi.org/10.1016/j.energy.2020.117861 SN - 1873-6785 SN - 0360-5442 VL - 203 ER - TY - GEN A1 - De Mel, Ishanki A1 - Demis, Panagiotis A1 - Dorneanu, Bogdan A1 - Klymenko, Oleksiy A1 - Mechleri, Evgenia A1 - Arellano-Garcia, Harvey T1 - Global Sensitivity Analysis for Design and Operation of Distributed Energy Systems T2 - Computer Aided Chemical Engineering N2 - Distributed Energy Systems (DES) are set to play a vital role in achieving emission targets and meeting higher global energy demand by 2050. However, implementing these systems has been challenging, particularly due to uncertainties in local energy demand and renewable energy generation, which imply uncertain operational costs. In this work we are implementing a Mixed-Integer Linear Programming (MILP) model for the operation of a DES, and analysing impacts of uncertainties in electricity demand, heating demand and solar irradiance on the main model output, the total daily operational cost, using Global Sensitivity Analysis (GSA). Representative data from a case study involving nine residential areas at the University of Surrey are used to test the model for the winter season. Distribution models for uncertain variables, obtained through statistical analysis of raw data, are presented. Design results show reduced costs and emissions, whilst GSA results show that heating demand has the largest influence on the variance of total daily operational cost. Challenges and design limitations are also discussed. Overall, the methodology can be easily applied to improve DES design and operation. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128233771502548?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50254-8 SN - 1570-7946 VL - 48 SP - 1519 EP - 1524 ER - TY - BOOK A1 - Odriozola, José Antonio A1 - Ramirez Reina, Tomas A1 - Arellano-Garcia, Harvey T1 - Engineering Solutions for CO2 Conversion N2 - A comprehensive guide that offers a review of the current technologies that tackle CO2 emissionsThe race to reduce CO2 emissions continues to be an urgent global challenge. "Engineering Solutions for CO2 Conversion" offers a thorough guide to the most current technologies designed to mitigate CO2 emissions ranging from CO2 capture to CO2 utilization approaches.... KW - CO2 conversion KW - CO2 emissions KW - reduce CO2 emissions KW - CO2 capture KW - computer modeling Y1 - 2021 SN - 978-3-527-34639-4 SN - 3-527-34639-2 PB - Wiley-VCH CY - Berlin ; Boston ER - TY - GEN A1 - Arellano-Garcia, Harvey A1 - Ife, Maximilian R. A1 - Sanduk, Mohammed A1 - Sebastia-Saez, Daniel T1 - Hydrogen production via load-matched coupled solar-proton exchange membrane electrolysis using aqueous methanol T2 - Chemical engineering & technology N2 - This study investigates hydrogen production via a directly coupled solar‐PEM electrolysis system using aqueous methanol instead of water. The effect of load matching and methanol concentration on hydrogen production rates, electrolysis efficiency, and solar‐hydrogen efficiency was investigated. The electrolysis efficiencies were subsequently used in simulation studies to estimate production costs in scaled up systems. The results show that the added hydrogen production associated with the methanol solutions leads to favourable hydrogen production costs at smaller scales. Y1 - 2019 U6 - https://doi.org/10.1002/ceat.201900285 SN - 1521-4125 SN - 0930-7516 VL - 42 IS - 11 SP - 2340 EP - 2347 ER - TY - GEN A1 - Sebastia-Saez, Daniel A1 - Ramirez Reina, Tomas A1 - Silva, Ravi A1 - Arellano-Garcia, Harvey T1 - Synthesis and characterisation of n‐octacosane@silica nanocapsules for thermal storage applications T2 - International Journal of Energy Research N2 - This work reports the synthesis and characterisation of a core‐shell n‐octacosane@silica nanoencapsulated phase‐change material obtained via interfacial hydrolysis and polycondensation of tetraethyl orthosilicate in miniemulsion. Silica has been used as the encapsulating material because of its thermal advantages relative to synthesised polymers. The material presents excellent heat storage potential, with a measured melting latent heat varying between 57.1 and 89.0 kJ kg−1 (melting point between 58.2°C and 59.9°C) and a small particle size (between 565 and 227 nm). Degradation of the n‐octacosane core starts between 150°C and 180°C. Also, the use of silica as shell material gives way to a heat conductivity of 0.796 W m−1 K−1 (greater than that of nanoencapsulated materials with polymeric shell). Charge/discharge cycles have been successfully simulated at low pressure to prove the suitability of the nanopowder as phase‐change material. Further research will be carried out in the future regarding the use of the synthesised material in thermal applications involving nanofluids. Y1 - 2019 UR - https://onlinelibrary.wiley.com/doi/10.1002/er.5039 U6 - https://doi.org/10.1002/er.5039 SN - 1099-114X SN - 0363-907X VL - 44 IS - 3 SP - 2306 EP - 2315 ER - TY - GEN A1 - Hamdan, Mustapha A1 - Sebastia-Saez, Daniel A1 - Hamdan, Malak A1 - Arellano-Garcia, Harvey T1 - CFD Analysis of the Use of Desert Sand as Thermal Energy Storage Medium in a Solar Powered Fluidised Bed Harvesting Unit T2 - Computer Aided Chemical Engineering N2 - This work presents an Euler-Euler hydrodynamic and heat transfer numerical analysis of the multiphase flow involving desert sand and a continuous gas phase in a compact-size fluidised bed. The latter is part of a novel conceptual solar power design intended for domestic use. Desert sand is a highly available and unused resource with suitable thermal properties to be employed as thermal energy storage medium. It also allows for high working temperatures owing to its high resistance to agglomeration. Computational Fluid Dynamics simulations are used here to assess the heat transfer between desert sand and several proposed working fluids (including air, argon, nitrogen and carbon dioxide) to justify the design in terms of equipment dimensions and suitability of the materials used. The results show that the device can provide up to 1,031 kW when using carbon dioxide as the heat transfer fluid. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128233771500598?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50059-8 SN - 1570-7946 VL - 48 SP - 349 EP - 354 ER - TY - GEN A1 - Menzhausen, Robert A1 - Merino, Manuel A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - A Fuzzy Control Approach for an Industrial Refrigeration System T2 - Computer Aided Chemical Engineering N2 - This contribution presents the development of a model for the refrigeration plant used for mangos, which is able to simulate both the chamber and the fruit temperatures. The model is developed from energy balances for each section of the refrigeration system and the fruits, and is the basis for the setup of a fuzzy controller, capable of regulating continuously the compressor’s frequency to achieve the desired temperature. The model is able to accurately predict the chamber temperature profiles, but is more sensitive when simulating the fruit temperature. The fuzzy controller is able to achieve the set-point more accurately and in a shorter time than the on/off control, achieving a decrease in energy consumption as well. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012823377150210X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50210-X SN - 1570-7946 VL - 48 SP - 1255 EP - 1260 ER - TY - GEN A1 - Clarke, Fiona A1 - Dorneanu, Bogdan A1 - Mechleri, Evgenia A1 - Arellano-Garcia, Harvey T1 - Optimal design of heating and cooling pipeline networks for residential distributed energy resource systems T2 - Energy N2 - This paper presents a mixed integer linear programming model for the optimal design of a distributed energy resource (DER) system that meets electricity, heating, cooling and domestic hot water demands of a neighbourhood. The objective is the optimal selection of the system components among different technologies, as well as the optimal design of the heat pipeline network to allow heat exchange between different nodes in the neighbourhood. More specifically, this work focuses on the design, interaction and operation of the pipeline network, assuming the operation and maintenance costs. Furthermore, thermal and cold storage, transfer of thermal energy, and pipelines for transfer of cold and hot water to meet domestic hot water demands are additions to previously published models. The application of the final model is investigated for a case-study of a neighbourhood of five houses located in the UK. The scalability of the model is tested by also applying the model to a neighbourhood of ten and twenty houses, respectively. Enabling exchange of thermal power between the neighbours, including for storage purposes, and using separate hot and cold pipeline networks reduces the cost and the environmental impact of the resulting DER. Y1 - 2021 UR - https://www.sciencedirect.com/science/article/pii/S0360544221016789?via%3Dihub U6 - https://doi.org/10.1016/j.energy.2021.121430 SN - 1873-6785 SN - 0360-5442 VL - 235 ER - TY - GEN A1 - Sidnell, Tim A1 - Clarke, Fiona A1 - Dorneanu, Bogdan A1 - Mechleri, Evgenia A1 - Arellano-Garcia, Harvey T1 - Optimal design and operation of distributed energy resources systems for residential neighbourhoods T2 - Smart Energy N2 - Different designs of distributed energy resources (DER) systems could lead to different performance in reducing cost, environmental impact or use of primary energy in residential networks. Hence, optimal design and management are important tasks to promote diffusion against the centralised grid. However, current operational models for such systems do not adequately analyse their complexity. This paper presents the results of a mixed-integer linear programming (MILP) model of distributed energy systems in the residential sector which builds up on previous work in this field. A superstructure optimisation model for design and operation of DER systems is obtained, providing a more holistic overview of such systems by including the following novel elements: a) Design and utilisation of a network with integrated heating/cooling pipelines and microgrid connections between neighbourhoods; b) Exploration of use of feed-in tariffs (FITs), renewable heat incentives (RHIs) and the ability to buy/sell from/to the national grid. It is shown that the (DER network mitigates around 30–40% of the CO2 emissions per household, compared with “traditional generation”. Money from FITs, RHIs and sales to the grid, as well as reduced grid purchases, make DER networks far more economical, and even profitable, compared to the traditional energy consumption. Y1 - 2021 UR - https://www.sciencedirect.com/science/article/pii/S2666955221000496?via%3Dihub U6 - https://doi.org/10.1016/j.segy.2021.100049 SN - 2666-9552 VL - 4 ER - TY - GEN A1 - Baena-Moreno, Francisco Manuel A1 - Cid-Castillo, N. A1 - Arellano-Garcia, Harvey A1 - Ramirez Reina, Tomas T1 - Towards emission free steel manufacturing – Exploring the advantages of a CO2 methanation unit to minimize CO2 emissions T2 - Science of The Total Environment N2 - This paper demonstrates the benefits of incorporating CO2 utilisation through methanation in the steel industry. This approach allows to produce synthetic methane, which can be recycled back into the steel manufacturing process as fuel and hence saving the consumption of natural gas. To this end, we propose a combined steel-making and CO2 utilisation prototype whose key units (shaft furnace, reformer and methanation unit) have been modelled in Aspen Plus V8.8. Particularly, the results showed an optimal performance of the shaft furnace at 800°C and 6 bar, as well as 1050°C and atmospheric pressure for the reformer unit. Optimal results for the methanation reactor were observed at 350°C. Under these optimal conditions, 97.8% of the total CO2 emissions could be mitigated from a simplified steel manufacturing scenario and 89.4% of the natural gas used in the process could be saved. A light economic approach is also presented, revealing that the process could be profitable with future technologic developments, natural gas prices and forthcoming increases of CO2 emissions taxes. Indeed, the cash-flow can be profitable (325 k€) under the future costs: methanation operational cost at 0.105 €/Nm³; electrolysis operational cost at 0.04 €kWh, natural gas price at 32 €/MWh; and CO2 penalty at 55€/MWh. Hence this strategy is not only environmentally advantageous but also economically appealing and could represent an interesting route to contribute towards steel-making decarbonisation. Y1 - 2021 UR - https://www.sciencedirect.com/science/article/pii/S0048969721018441?via%3Dihub U6 - https://doi.org/10.1016/j.scitotenv.2021.146776 SN - 1879-1026 SN - 0048-9697 VL - 781 ER - TY - GEN A1 - Yusuf, Ifrah A1 - Flagiello, Fabio A1 - Ward, Niel I. A1 - Arellano-Garcia, Harvey A1 - Avignone-Rossa, Claudio A1 - Felipe-Sotelo, Monica T1 - Valorisation of banana peels by hydrothermal carbonisation: Potential use of the hydrochar and liquid by-product for water purification and energy conversion T2 - Bioresource Technology Reports N2 - Banana peels were used as feedstock to produce a carbon dense hydrochar for the removal of toxic metals from wastewater. Compared to the biomass feedstock (41.3% mass C), the banana peel hydrochar possesses higher carbon (54–72% mass C) and lower ash contents. The carbonised banana peels treated between 150 and 300 °C (1−2h) demonstrated an excellent ability to remove Cd²⁺ (5–100 mg L⁻¹), achieving 99% removal, in comparison with 75% for the raw peel. The liquid by-product generated in the carbonisation process was tested as feedstock in microbial electrochemical devices, showing significant reduction in the chemical oxygen demand levels (initially 10–25 10³ mg L⁻¹), associated with the production of electrical outputs; 81–85% reduction with microbial communities from compost, and 53–85% with anaerobic sludge. The results demonstrate the complete utilization of waste from mass cultivation of banana, providing a full-cycle solution for the pollution associated to this important crop. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/pii/S2589014X20302048?via%3Dihub U6 - https://doi.org/10.1016/j.biteb.2020.100582 SN - 2589-014X VL - 12 ER - TY - CHAP A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey A1 - Heshmat, Mohamed A1 - Gao, Yang T1 - A framework for intelligent monitoring and control of chemical processes with multi-agent systems T2 - Industry 4.0 – Shaping The Future of The Digital World N2 - Industry 4.0 is transforming chemical processes into complex, smart cyber-physical systems that require intelligent methods to support the operators in taking decisions for better and safer operation. In this paper, a multi-agent cooperative-based model predictive system for monitoring and control of a chemical process is proposed. This system uses ontology to formally represent the system knowledge. By integrating the cooperative-based model predictive controller with the multi-agent system, the control can be improved, and the process can be converted into a self-adaptive system. Y1 - 2020 UR - https://www.taylorfrancis.com/chapters/edit/10.1201/9780367823085-04/framework-intelligent-monitoring-control-chemical-processes-multi-agent-systems-dorneanu-arellano-garcia-heshmat-gao SN - 9780367823085 U6 - https://doi.org/10.1201/9780367823085-04 SP - 18 EP - 23 PB - CRC Press CY - London, United Kingdom ET - 1st edition ER - TY - GEN A1 - Ketabchi, Elham A1 - Pastor-Perez, Laura A1 - Arellano-Garcia, Harvey A1 - Ramirez Reina, Tomas T1 - Influence of Reaction Parameters on the Catalytic Upgrading of an Acetone, Butanol and Ethanol (ABE) Mixture: Exploring New Routes for Modern Biorefineries T2 - Frontiers in Chemistry N2 - Here we present a comprehensive study on the effect of reaction parameters on the upgrade of an acetone, butanol and ethanol mixture – key molecules and platform products of great interest within the chemical sector. Using a selected high performing catalyst, Fe/MgO-Al2O3, the variation of temperature, reaction time, catalytic loading and reactant molar ratio have been examined in this reaction. This work is aiming to not only optimise the reaction conditions previously used, but to step towards using less energy, time and material by testing those conditions and analysing the sufficiency of the results. Herein we demonstrate that this reaction is favoured at higher temperatures and longer reaction time. Also, we observe that increasing the catalyst loading had a positive effect on the product yields, while reactant ratios have shown to produce varied results due to the role of each reactant in the complex reaction network. In line with the aim of reducing energy and costs, this work showcases that the products from the upgrading route have significantly higher market value than the reactants; highlighting that this process represents an appealing route to be implemented in modern biorefineries. Y1 - 2020 UR - https://www.frontiersin.org/articles/10.3389/fchem.2019.00906/full U6 - https://doi.org/10.3389/fchem.2019.00906 SN - 2296-2646 VL - 7 ER - TY - GEN A1 - Ketabchi, Elham A1 - Pastor-Perez, Laura A1 - Ramirez Reina, Tomas A1 - Arellano-Garcia, Harvey T1 - Catalytic upgrading of acetone, butanol and ethanol (ABE): A step ahead for the production of added value chemicals in bio-refineries T2 - Renewable Energy N2 - With the aim of moving towards sustainability and renewable energy sources, we have studied the production of long chain hydrocarbons from a renewable source of biomass to reduce negative impacts of greenhouse gas emissions while providing a suitable alternative for fossil fuel-based processes. Herein we report a catalytic strategy for Acetone, Butanol and Ethanol (ABE) upgrading using economically viable catalysts with potential impact in modern bio-refineries. Our catalysts based on transition metals such as Ni, Fe and Cu supported on MgO–Al2O3 have been proven to perform exceptionally with outstanding conversions towards the production of a broad range of added value chemicals from C2 to C15. Although all catalysts displayed meritorious performance, the Fe catalyst has shown the best results in terms conversion (89%). Interestingly, the Cu catalyst displays the highest selectivity towards long chain hydrocarbons (14%). Very importantly, our approach suppresses the utilization of solvents and additives resulting directly in upgraded hydrocarbons that are of use in the chemical and/or the transportation industry. Overall, this seminal work opens the possibility to consider ABE upgrading as a viable route in bio-refineries to produce renewably sourced added value products in an economically favorable way. In addition, the described process can be envisaged as a cross-link stream among bio and traditional refineries aiming to reduce fossil fuel sources involved and incorporate “greener” solutions. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/pii/S096014812030690X?via%3Dihub U6 - https://doi.org/10.1016/j.renene.2020.04.152 SN - 1879-0682 SN - 0960-1481 VL - 156 SP - 1065 EP - 1075 ER - TY - GEN A1 - De Carvalho Miranda, Julio Cesar A1 - Flores Ponce, Gustavo Henrique Santos A1 - Arellano-Garcia, Harvey A1 - Maciel Filho, Rubens A1 - Wolf Maciel, Maria Regina T1 - Process design and evaluation of syngas-to-ethanol conversion plants T2 - Journal of Cleaner Production N2 - Synthesis gas (syngas) is mostly known by its use on ammonia (Harber-Bosch process) and hydrocarbons (Fischer-Tropsch process) production processes. However, a less explored route to produce chemical products, among them alcohols and other oxygenates, from syngas has been gaining attention over the last few years. In this route, an initial feedstock as biomass is firstly gasified to synthesis gas, which is reformed, cleaned, compressed and finally catalytically converted into a mixture of alcohols and oxygenated products. After separation steps, these products attain sufficient purity to be sold. In this work, the thermochemical route, is used aiming ethanol production from syngas. Using the commercial simulator ASPEN Plus, were proposed four study cases using 3 different categories of catalysts in 4 different process layouts. All the cases were evaluated regarding their productivity, energy consumption, and aspects of economic importance. The results show the technical viability to produce ethanol from syngas, proving an energy surplus of all processes and a reasonable production of the main product. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/pii/S0959652620321259?via%3Dihub U6 - https://doi.org/10.1016/j.jclepro.2020.122078 SN - 0959-6526 VL - 269 ER - TY - GEN A1 - Gonzalez-Castaño, Miriam A1 - Gonzalez-Arias, Judith A1 - Bobadilla, Luis F. A1 - Ruiz-Lopez, E. A1 - Odriozola, Jose Antonio A1 - Arellano-Garcia, Harvey T1 - In-Situ Drifts Steady-State Study of Co2 and Co Methanation Over Ni-Promoted Catalysts T2 - Fuel N2 - Promoting the performance of catalytic systems by incorporating small amount of alkali has been proved effective for several reactions whilst controversial outcomes are reported for the synthetic natural gas production. This work studies a series of Ni catalysts for CO2 and CO methanation reactions. In-situ DRIFTS spectroscopy evidenced similar reaction intermediates for all evaluated systems and it is proposed a reaction mechanism based on: i) formate decomposition and ii) hydrogenation of lineal carbonyl species to methane. Compared to bare Ni, the enhanced CO2 methanation rates attained by NiFe/Al and NiFeK/Al systems are associated to promoted formates decomposition into lineal carbonyl species. Also for CO methanation, the differences in the catalysts’ performances were associated to the relative concentration of lineal carbonyl species. Under CO methanation conditions and opposing the CO2 methanation results where the incorporation of K delivered promoted catalytic behaviours, worsened CO methanation rates were discerned for the NiFeK/Al system. Y1 - 2023 UR - https://www.sciencedirect.com/science/article/pii/S0016236122040650?via%3Dihub U6 - https://doi.org/10.1016/j.fuel.2022.127241 SN - 1873-7153 VL - 338 ER - TY - GEN A1 - Yentumi, Richard A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Optimal Operation of an Industrial Natural Gas Fired Natural Draft Heater T2 - Chemical Engineering Journal Advances N2 - In this work, a custom dynamic mathematical model of an industrial vertical-cylindrical type natural gas fired natural draft heater is developed using gPROMS® ProcessBuilder®. The integrated model comprises sub-models for each of the distinct sections of the fired heater which are connected by mass and energy flows. The temperature profiles of the tubular coils and the process fluid, a heat transfer fluid (HTF) are modelled using the distributed parameter system (DPS) in the axial direction (1D). The flue gas temperature in each section is modelled using the lumped parameter approach. Published empirical methods and correlations are used for estimating some unknown model parameters. The resulting model is a system of partial differential-algebraic equations (PDAEs) and serves as a basis for conducting an optimisation study to aid decision-making and to identify the best operating conditions within the specified constraints that minimise the daily operational costs. Through process simulation studies, the model predictions are adjusted to closely approximate collected actual plant data. It is demonstrated through the optimisation study that significant reduction in fuel gas consumption can be achieved compared to the current operating consumption levels. The developed models can be extended for use by other hydrocarbon processing plant operators with slight modifications, by specifying geometric parameters, HTF thermophysical properties, fuel gas composition and properties, among others. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S2666821122001144?via%3Dihub U6 - https://doi.org/10.1016/j.ceja.2022.100354 SN - 2666-8211 VL - 11 ER - TY - GEN A1 - De Mel, Ishanki A1 - Demis, Panagiotis A1 - Dorneanu, Bogdan A1 - Klymenko, Oleksiy A1 - Mechleri, Evgenia A1 - Arellano-Garcia, Harvey T1 - Global sensitivity analysis for design and operation of distributed energy systems: A two-stage approach T2 - Sustainable Energy Technologies and Assessments N2 - Distributed Energy Systems (DES) can play a vital role as the energy sector faces unprecedented changes to reduce carbon emissions by increasing renewable and low-carbon energy generation. However, current operational DES models do not adequately reflect the influence of uncertain inputs on operational outputs, resulting in poor planning and performance. This paper details a methodology to analyse the effects of uncertain model inputs on the primary output, the total daily cost, of an operational model of a DES. Global Sensitivity Analysis (GSA) is used to quantify these effects, both individually and through interactions, on the variability of the output. A Mixed-Integer Linear Programming model for the DES design is presented, followed by the operational model, which incorporates Rolling Horizon Model Predictive Control. A subset of model inputs, which include electricity and heating demand, and solar irradiance, is treated as uncertain using data from a case study. Results show reductions of minimum 25% in the total annualised cost compared to a traditional design that purchases electricity from the centralised grid and meets heating demand using boilers. In terms of carbon emissions, the savings are much smaller, although the dependency on the national grid is drastically reduced. Limitations and suggestions for improving the overall DES design and operation are also discussed in detail, highlighting the importance of incorporating GSA into the DES framework. Y1 - 2023 UR - https://www.sciencedirect.com/science/article/pii/S2213138823000565?dgcid=author U6 - https://doi.org/10.1016/j.seta.2023.103064 SN - 2213-1388 VL - 56 ER - TY - GEN A1 - Jurischka, Constantin A1 - Dorneanu, Bogdan A1 - Stollberg, Christian A1 - Arellano-Garcia, Harvey T1 - A novel approach to continuous extraction of active ingredients from essential oils through combined chromatography T2 - Computer Aided Chemical Engineering N2 - This contribution introduces a combined liquid chromatography purification designed for a continuous and resource-efficient process, integrating the rotating columns and the simulated bed principles. The approach is demonstrated and validated based on bisabolol oxides A and B, which are effective ingredients with anti-inflammatory and spasmolytic effects, prepared from chamomile essential oil. The results show superior efficiency to the traditional selective methods for isolating ingredients from multicomponent mixtures, as well as reduction in resources and costs. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323958790501296?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-95879-0.50129-6 SN - 1570-7946 VL - 51 SP - 769 EP - 774 ER - TY - GEN A1 - Estrada, Carlos A. A1 - Manrique-Silupú, José A1 - Ipanaqué, William A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - A model-based approach for the prediction of banana rust thrips incidence from atmospheric variables T2 - Computer Aided Chemical Engineering N2 - This work focuses on the development of a mathematical model for the population growth of banana red rust thrips (Chaetanaphothrips signipennis) based on a modified temperature-based growth rate with the addition of climatic variables, such as relative humidity, wind speed and rainfall rate. The aim is to enable better prediction of the pest incidence and improve decision making, productivity, as well as quantifying the influence of these variables on the development of red rust thrips. The developed model is then compared with current solutions for predicting the pest incidence, showing improved accuracy (higher than 67%) versus experimental data, for which the state-of-the-art models indicate extremely poor fits. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323958790500850?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-95879-0.50085-0 SN - 1570-7946 VL - 51 SP - 505 EP - 510 ER - TY - GEN A1 - Amao, Khalid A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Economic Analysis of Novel Pathways for Recovery of Lithium Battery Waste T2 - Computer Aided Chemical Engineering N2 - Using the Umicore process, a current state-of-the-art recycling in the metal recovery industry for lithium battery waste, as a baseline, this contribution examines economic and environmentally friendly solutions for effective metal recovery from spent LIBs. At the same time, possible synergies between existing resource use from other manufacturing and waste treatment industries are considered as valuable input to metal recycling, while also reducing the amount of atmospheric carbon. This further presents a case for possible integration of various waste management approaches as a single business unit for economic incentive and profitability for possible investment. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B978032395879050271X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-95879-0.50271-X SN - 1570-7946 VL - 51 SP - 1621 EP - 1626 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Heinzelmann, Norbert A1 - Schnitzlein, Klaus A1 - Arellano-Garcia, Harvey T1 - A novel approach to modelling trickle bed reactors T2 - Computer Aided Chemical Engineering N2 - In this contribution, the development of a toolbox for the simulation of trickle bed reactors based on a model able to account for the local properties of the liquid and gas flow in a packed bed at particle scale is introduced. The implementation uses a modular and flexible setup, with local liquid distribution considered as a function of the operating conditions and the physical properties of the three phases. Moreover, the impact of the local incomplete wetting on the conversion, as well as the mass transport and kinetics at both particle and reactor scale are accounted for. Furthermore, different particle geometries are considered, and the model is able to reliably predict the performance of the catalytic trickle bed reactors. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323958790500473?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-95879-0.50047-3 SN - 1570-7946 VL - 51 SP - 277 EP - 282 ER - TY - GEN A1 - Saavedra, Stephy A1 - Alejandro-Paredes, Luis A1 - Flores-Santos, Juan Carlos A1 - Flores-Fernández, Carol Nathali A1 - Arellano-Garcia, Harvey A1 - Zavaleta, Amparo Iris T1 - Optimization of lactic acid production by Lactobacillus plantarum strain Hui1 in a medium containing sugar cane molasses T2 - Agronomía Colombiana N2 - The aim of this study was to optimize lactic acid production by a native strain (Huil) of Lactobacillus plantarum isolated from a Peruvian Amazon fruit (Genipa americana) in a medium supplemented with an agroindustrial by-product such as sugar cane molasses. Optimization was performed though one-factor-at-a-time studies followed by the Placket-Burman and central composite designs. The data were analyzed by using the Statistica® 10 software. Several carbon, nitrogen and ion sources were tested, and the optimum concentration of lactic acid achieved was 84.2 g L-1 in a medium containing as follows (in g L-1): meat extract, 18.69; tryptone, 7.88; sugar cane molasses, 140; calcium carbonate, 15; dipotassium phosphate, 1; manganese phosphate, 0.03; sodium acetate, 5, and magnesium sulphate, 0.2. In addition, a high degree of conversion from sugar cane molasses to lactic acid was obtained (Yp/e 0.898 g g-1). These results indicate the potential of Lactobacil-lus plantarum strain Hui1 to produce lactic acid in a medium supplemented with sugar cane molasses, an underutilized industrial by-product. Y1 - 2021 UR - https://revistas.unal.edu.co/index.php/agrocol/article/view/89674 U6 - https://doi.org/10.15446/agron.colomb.v39n1.89674 SN - 0120-9965 SN - 2357-3732 VL - 39 IS - 1 SP - 98 EP - 107 ER - TY - CHAP A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey A1 - Ruan, Hang A1 - Mohamed, Abdelrahim A1 - Xiao, Pei A1 - Heshmat, Mohamed A1 - Gao, Yang T1 - Towards fault detection and self-healing of chemical processes over wireless sensor networks T2 - Industry 4.0 – Shaping The Future of The Digital World N2 - This contribution introduces a framework for the fault detection and healing of chemical processes over wireless sensor networks. The approach considers the development of a hybrid system which consists of a fault detection method based on machine learning, a wireless communication model and an ontology-based multi-agent system with a cooperative control for the process monitoring. Y1 - 2020 UR - https://www.taylorfrancis.com/chapters/edit/10.1201/9780367823085-02/towards-fault-detection-self-healing-chemical-processes-wireless-sensor-networks-dorneanu-arellano-garcia-ruan-mohamed-xiao-heshmat-gao SN - 9780367823085 U6 - https://doi.org/10.1201/9780367823085-02 SP - 9 EP - 14 PB - CRC Press CY - London, United Kingdom ET - 1st edition ER - TY - GEN A1 - Ramirez Reina, Tomas A1 - Ketabchi, Elham A1 - Arellano-Garcia, Harvey A1 - Pastor-Perez, Laura T1 - The Production of Long Chain Hydrocarbons through the Catalytic Upgrade of Biomass-Based Acetone, Butanol and Ethanol (ABE) T2 - 2019 AIChE Annual Meeting N2 - One of the main issues that many industrial sectors such as oil refineries have been facing nowadays is their sole dependency on fossil fuel. Not only have price fluctuations affected the products, but their environmental impact is an ever present problem that should be addressed. This has led to the search for alternatives such as biomass based processes in order to reduce the dependency on fossil fuel. Bio-refinery processes, fed by biomass, produce high value chemicals and materials with the advantage of reduced environmental drawbacks, such as CO2 emissions, when compared to the conventional refinery. For the benefit of both systems, an integration approach has been considered connecting bio-refining and conventional refining processes together. In this work we focus on the production of long chain hydrocarbons while maintaining production of chemicals that already originate from biomass such as Acetone, Butanol and Ethanol (ABE). The ABE used for this process is obtained as a product of sugar fermentation using the bacteria genus Clostridium. Through the upgrading and conversion of ABE, the products obtained will then be incorporated in the proposed integration system, connecting the conventional oil refinery to this process. A reaction involving a complex reaction network towards upgrading ABE with the aim of producing valuable products using economically viable catalysts has been carried out. The vast majority of research in this area either involves the separation of ABE after fermentation to be used in the chemical/or transportation industry that incurs large costs, or noble metal catalysts are used to upgrade this feed, which would also not be economically viable. However, our research has surpassed the necessity of noble metals, leading to a significant cost decrease that also produces outstanding results. The catalysts required for this process were synthesised successfully through the wetness incipient method and characterised by XRD, Raman, BET, TPR and N2 Isotherm. The reaction consists of the self-condensation and cross condensation of the alcohols and acetone, respectively, using a variety of active metals on basic supports as catalysts, at high temperatures and pressure in a batch reactor. The results have shown exceptional performance for the catalysts in terms of conversion and selectivity, having conversions as high as 90%. The catalysts have proven to yield a range of C3-C15 hydrocarbons identified to be of need in the chemical industry. In conclusion, our route has produced valuable chemicals proven to have a considerably higher market value than the simple alcohol reactants, useful for both the petrochemical and the transportation industries, through the use of novel and economically favourable catalysts. Y1 - 2019 UR - https://www.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/39f-production-long-chain-hydrocarbons-through-catalytic-upgrade-biomass-based-acetone-butanol-and SN - 978-0-8169-1112-7 ER -