Showing papers by "University of Seville published in 2022"
TL;DR: This work proposes an augmented prediction model based on a state observer that includes as many harmonic components as necessary to accurately represent the output current, improving the system performance.
Abstract: A finite control set model predictive control (FCS-MPC) strategy consists of a prediction model, a cost function and an optimization algorithm. Consequently, the performance of the FCS-MPC depends on the proper design of these three elements. This article assesses the influence of the prediction model of an uninterruptible power supply (UPS). Since the load connected to the voltage source inverter (VSI) affects the dynamic of the system state variables, the load dynamic should be included in the system model. This makes the design of the prediction model a challenge because the load connected to the VSI is generally unknown. To deal with this uncertainty, this work proposes an augmented prediction model based on a state observer that includes as many harmonic components as necessary to accurately represent the output current. The performance of the FCS-MPC for a UPS is evaluated in a laboratory prototype using the proposed and the conventional prediction models. Experimental results show that the proposed solution provides a more accurate representation of the output current, improving the system performance.
41 citations
TL;DR: In this article , a WO3@PANI heterojunction photocatalyst with a various mass ratio of polyaniline to W o3 was obtained via the in situ oxidative deposition polymerization of aniline monomer in the presence of W o 3 powder.
37 citations
TL;DR: This tutorial provides an overview of Quantum Machine Learning, a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI).
30 citations
TL;DR: A novel robust control strategy for three-phase power converters operated under unbalanced grid conditions is presented, in which an adaptive observer is applied to estimate the positive and negative sequences of the grid voltage.
Abstract: This article proposes a novel robust control strategy for three-phase power converters operated under unbalanced grid conditions. A consolidated control objective is obtained in the stationary $\alpha \beta$ frame, which can be flexibly adjusted according to the degree of oscillation in the active and reactive powers and the balance of the three-phase current. Based on the dynamics of the converter and control objective, a control scheme in a cascaded framework is presented, in which an adaptive observer is applied to estimate the positive and negative sequences of the grid voltage. In the current tracking loop, a super-twisting algorithm current controller coupled with a super-twisting differentiator is implemented to track the current references, featuring rapid dynamics, and improved robustness. Additionally, in the voltage regulation loop, an effective composite controller is developed to regulate the dc-link voltage, where a super-twisting observer is used to estimate the load disturbance, thereby improving the performance of the converter. The experimental results are provided to confirm the effectiveness and superiority of the proposed control strategy.
29 citations
University of Seville1, University of Almería2, Texas A&M University3, University of Granada4, University of New South Wales5, University of Padua6, University of Monterrey7, Alexandru Ioan Cuza University8, University of Toronto9, Lebanese American University10, Ağrı İbrahim Çeçen University11, Mehmet Akif Ersoy University12, University of Minho13, Polytechnic Institute of Viana do Castelo14, COMSATS Institute of Information Technology15, Kozminski University16, Tanta University17, University of Batna18, University of Nigeria, Nsukka19, Universidade Federal do Espírito Santo20, Guru Jambheshwar University of Science and Technology21, Rutgers University22, Tarumanagara University23, Claude Bernard University Lyon 124, Dr Emilio B Espinosa Sr Memorial State College of Agriculture and Technology25, University of London26, Örebro University27, Otto-von-Guericke University Magdeburg28, Pathumwan Institute of Technology29, University of Ljubljana30, National Research University – Higher School of Economics31
TL;DR: In this article, the authors examined the role of different psychological coping mechanisms in mental and physical health during the initial phases of the COVID-19 crisis with an emphasis on meaning-centered coping.
29 citations
TL;DR: A two-stage control scheme consisting of an adaptive-gain second-order sliding mode (SOSM) controller and a switched high-gain observer (HGO) is proposed for the three-level neutral-point-clamped (NPC) converter to demonstrate the feasibility and effectiveness of the proposed approach.
Abstract: In this article, a two-stage control scheme consisting of an adaptive-gain second-order sliding mode (SOSM) controller and a switched high-gain observer (HGO) is proposed for the three-level neutral-point-clamped (NPC) converter. The adaptive-gain SOSM control method is applied both in the voltage regulation loop and instantaneous power tracking loop, thus, the boundary of the disturbance derivative does not need to be known a priori . Compared with the fixed-gain SOSM, it provides a faster dynamic and a better steady-state response for the NPC converter. On the other hand, the conventional disturbance compensation observer used in the power system suffers from the adverse effects of measurement noise, which limits the performance of the observer. A switched HGO is combined with the adaptive-gain SOSM controller in the voltage regulation loop to address this issue. By using a switched observer gain, the switched HGO greatly diminishes the performance degradation induced by the inevitable measurement noise. Finally, several experiments between the representative extended state observer-based SOSM control scheme and the proposed control method are carried out for a comparison. The results demonstrate the feasibility and effectiveness of the proposed approach.
27 citations
TL;DR: In this article, the authors proposed two modifications of the auto-cascade system by including an ejector device at the outlet of the phase-separator, while the second modification included the ejector as a precompression stage.
27 citations
TL;DR: In this article, selected surface treatments were considered to improve the fatigue strength of AM parts, including shot and laser peening as well as a combination of shot peening plus chemical assisted surface enhancement (CASE®).
24 citations
TL;DR: This new approach presents a new gap in the 3D reconstruction to date and control architectural structures, particularly in historical buildings, as well as a new approach based on the experimentation by creating digital twins.
Abstract: Maintaining the structure and ornaments of historical buildings is essential to preserve cultural heritage in any society. Thus, dating the state and the evolution of the elements requires a special treatment, including the application of both advanced numerical analysis and non-invasive data acquisition techniques. In the latter, making digital copies of geometries through 3D reconstruction models is of great interest to compare and analyse structural evolutionary data accurately. For this purpose, appropriate software with containers of information correlated to the parametric elements in a BIM environment should be used. However, it is imperative to advance from static to dynamic models to collect the structural transformations caused by both the pass of time and other factors. The methodology followed in this paper is based on the experimentation by creating digital twins. The portico of a courtyard in a historical building from the 18th century was used as test bed. Based on the bibliographical recommendations, the terrestrial laser scanner is applied as a technique to acquire accurate data. The point cloud is used as a referential auxiliary to survey the model in the BIM platform with the Revit software. To assess the quality of the model built and to analyse the structural deviations between the parametric model and the actual geometry, the Dynamo script is used. To validate the experimentation, structural deviations are measured using both the parametric model and the point cloud with CloudCompare, a software for data treatment. The results were very positive because the deviation between the data obtained by Dynamo© and CloudCompare in the most unfavourable construction unit was between 0.5 and 1.17 cm, so these techniques are highly appropriate to review visual records and to analyse structural deviations. This new approach presents a new gap in the 3D reconstruction to date and control architectural structures , particularly in historical buildings.
23 citations
TL;DR: In this article, a novel in situ XRD analysis on the multicycle calcination/carbonation of natural limestone and dolomite at relevant conditions for thermochemical energy storage (TCES) in concentrated solar power (CSP) plants is presented.
23 citations
TL;DR: A systematic review about the association between dysbiosis on the gut microbiota and the presence of neurological or neuropsychiatric diseases such as cognitive impairment, Alzheimer's disease, Parkinson disease, ADHD, and depression is presented in this article .
TL;DR: In this paper, a common distribution network is used as an energy storage system and integrates the PV electricity excess from the buildings into the 5th Generation District Heating and Cooling (5GDHC) system, at ultra-low temperature.
TL;DR: In this paper , the authors proposed a method to estimate more than 60% of the LCSA inventory indicators during the early design stage and the total results during the detailed design stage.
Abstract: The built environment is significantly responsible for the current climate crisis, thus developing more sustainable projects is becoming an urgent objective. One widely recognized method that supports achieving this objective is the Life Cycle Sustainability Assessment (LCSA), which enables a holistic, quantitative evaluation of building sustainability, including environmental, economic, and social dimensions. The integration of this method in digital design tools such as Building Information Modelling (BIM) facilitates its use during the building design stages. However, data granularity is not the same in every design stage, and consequently data consistency cannot be assured. Hence, the margin of unexpected variation of the results shall be avoided and robust results from the early design stages should be obtained. During the early stage, the level of details is generally limited to the element definition, while during the detailed stages, the volume of information regarding the building increased. This paper aims to fill in the informational gaps during the early design stage and align those results with a detailed data structure developed for cost estimation during the detailed stages. Thus, based on a case study analysis, we can demonstrate the consistency of the method by determining the variation of material quantities and comparing the LCSA inventory indicators during the early and detailed stages. This method can estimate more than 60% of the LCSA inventory indicators during the early design stage and the total results during detailed design stage.
TL;DR: In this paper, the authenticity of coriander oil and adulteration with other commercial vegetable oils such as palm olein, canola oil and soybean oil were identified.
TL;DR: In this article, the authors proposed a method to estimate more than 60% of the LCSA inventory indicators during the early design stage and the total results during the detailed design stage.
Abstract: The built environment is significantly responsible for the current climate crisis, thus developing more sustainable projects is becoming an urgent objective. One widely recognized method that supports achieving this objective is the Life Cycle Sustainability Assessment (LCSA), which enables a holistic, quantitative evaluation of building sustainability, including environmental, economic, and social dimensions. The integration of this method in digital design tools such as Building Information Modelling (BIM) facilitates its use during the building design stages. However, data granularity is not the same in every design stage, and consequently data consistency cannot be assured. Hence, the margin of unexpected variation of the results shall be avoided and robust results from the early design stages should be obtained. During the early stage, the level of details is generally limited to the element definition, while during the detailed stages, the volume of information regarding the building increased. This paper aims to fill in the informational gaps during the early design stage and align those results with a detailed data structure developed for cost estimation during the detailed stages. Thus, based on a case study analysis, we can demonstrate the consistency of the method by determining the variation of material quantities and comparing the LCSA inventory indicators during the early and detailed stages. This method can estimate more than 60% of the LCSA inventory indicators during the early design stage and the total results during detailed design stage.
University of Pennsylvania1, Columbia University2, Washington University in St. Louis3, Ludwig Maximilian University of Munich4, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico5, King's College London6, Icahn School of Medicine at Mount Sinai7, Utrecht University8, University of São Paulo9, University of Düsseldorf10, University of Seville11, University of Melbourne12, Tianjin Medical University13
TL;DR: MAGIC as mentioned in this paper is a semi-supervised clustering method for brain disease heterogeneity that uses a double-cyclic optimization procedure to identify inter-scale-consistent disease subtypes.
TL;DR: In this article, the impact of CO2-based mixtures on the performance of power blocks representative of Concentrated Solar Power plants is explored, considering two possible dopants: hexafluorobenzene (C6F6) and titanium tetrachloride (TiCl4).
TL;DR: In this article , the authors used single-cell RNA sequencing (scRNA-seq) to characterize human neutrophils and found that modifications to the data analysis pipeline, rather than to the existing scRNAseq chemistries, can significantly increase the detection of human Neutrophils.
Abstract: Abstract Neutrophils are the most abundant leukocytes in human blood and are essential components of innate immunity. Until recently, neutrophils were considered homogeneous and transcriptionally inactive cells, but both concepts are being challenged. Single-cell RNA sequencing (scRNA-seq) offers an unbiased view of cells along a continuum of transcriptional states. However, the use of scRNA-seq to characterize neutrophils has proven technically difficult, explaining in part the paucity of published single-cell data on neutrophils. We have found that modifications to the data analysis pipeline, rather than to the existing scRNA-seq chemistries, can significantly increase the detection of human neutrophils in scRNA-seq. We have then applied a modified pipeline to the study of human peripheral blood neutrophils. Our findings indicate that circulating human neutrophils are transcriptionally heterogeneous cells, which can be classified into one of four transcriptional clusters that are reproducible among healthy human subjects. We demonstrate that peripheral blood neutrophils shift from relatively immature (Nh0) cells, through a transitional phenotype (Nh1), into one of two end points defined by either relative transcriptional inactivity (Nh2) or high expression of type I IFN-inducible genes (Nh3). Transitions among states are characterized by the expression of specific transcription factors. By simultaneously measuring surface proteins and intracellular transcripts at the single-cell level, we show that these transcriptional subsets are independent of the canonical surface proteins that are commonly used to define and characterize human neutrophils. These findings provide a new view of human neutrophil heterogeneity, with potential implications for the characterization of neutrophils in health and disease.
TL;DR: In this article, a stable and active Ni catalyst supported on CeO2 nanorods was reported for CO2 methanation at variable reaction conditions in both powdered and μ-monolith configurations.
01 Jan 2022
TL;DR: In this article, the authors describe some of the most important objectives and needs in pandemic control and identify the main open problems in the different stages of the decision-making process, as well as the most significant challenges to overcome them.
Abstract: In this letter, we describe some of the most important objectives and needs in pandemic control. We identify the main open problems in the different stages of the decision making process, as well as the most significant challenges to overcome them, leading to promising future research directions. We provide a concise review of the most recent literature describing such challenges, highlighting the main results, achievements and methodologies that can be employed to address them. In particular, we discuss some promising recent techniques that have been successfully applied to the Covid-19 pandemic and could be very valuable in the design of novel methodologies to face future pandemics.
TL;DR: In this article , the effectiveness of thyroidectomy + prophylactic central neck dissection (T+CND) compared to thyroidectomy alone on locoregional recurrence in patients with papillary thyroid carcinoma (PTC) was evaluated.
Abstract: Objective: To evaluate the effectiveness of thyroidectomy + prophylactic central neck dissection (T+CND) compared to thyroidectomy (T) alone on locoregional recurrence in patients with papillary thyroid carcinoma (PTC). Summary background data: Few randomized controlled trials (RCTs) have assessed the risks and benefits of prophylactic CND in patients with PTC. Most recommendations are still based on meta-analyses that include observational studies, which are prone to selection bias. Methods: We included RCTs involving adult patients with cN0 PTC that compared T versus T+CND. The main outcomes assessed were structural and biochemical recurrence and complications. For methodological quality assessment, we used the ROBINS-2 instrument, and for robustness, we used the fragility index. Results: Five RCTs with 763 patients were included (354 in the T group and 409 in the T+CND group). Most studies were classified as having a low risk of bias. Publication bias was not found. Structural recurrence occurred in 11/409 (2.7%) patients in the T+CND group and 9/354 (2.5%) patients in the T group, with a risk difference (RD) =0% (95% CI -2 to 2%). For biochemical recurrence, the RD was 0% (95% CI -5 to 4%). The number needed to treat (NNT) was 500. The rate of permanent hypoparathyroidism was higher in the T+CND group than in the T group (RD 3% (95% CI 0%-6%)). Conclusions: We did not find a beneficial effect of prophylactic CND associated with thyroidectomy on locoregional or biochemical recurrence but did confirm a higher risk of permanent hypoparathyroidism associated with this procedure.
TL;DR: In this article, a re-spending model was used to assess the indirect impact of energy efficiency improvements on the overall rebound effect in 14 productive sectors in Spain for the 2000-2014 period.
TL;DR: In this article, the authors compared the application of basic Passive House standards with Spain's current building regulations to achieve nZEB in a project which applies passive design strategies to a single-family dwelling in Seville, Spain.
TL;DR: In this article, the authors proposed a case-based reasoning and reinforcement learning approach to analyze the data about building design (provided in an Extended Mark-up Language or XML file, and other compatible formats), checking, and validating the regulations.
Abstract: The health care building designing is a very difficult process in which there are a great quantity of parameters and variables that it is necessary to consider. The health care building should reach the population needs. Additionally, the design of this type of building and the related facilities involves a great quantity of regulations which they are adapted to the different countries. Thus, the health care facilities should be designed according to numerous and complex regulations. The checking of this regulation is very difficult and usually involves big teams of specialized engineers and architects. The proposed Case-Based Reasoning (CBR) and Reinforcement Learning can analyse the data about building design (provided in an Extended Mark-up Language or XML file, and other compatible formats), checking, and validating the regulations. This approach allows to reduce the specialized and high qualified personnel, providing a report with the checking regulations, and the traceability of warning and faults in the application of regulations.
TL;DR: In this article, the authors evaluate the possible comfort risks in terms of overheating following the different criteria established by the Chartered Institution of Building Services Engineers (CIBSE), both under current conditions and in a climate change scenario.
TL;DR: In this article, the authors reformulated the SERS application as a novel fresh air pre-cooling system for air handling units, and analyzed the seasonal performance under severe operating conditions, considering two-phase flow ejector geometry, as well as refrigerants with low global warming potential.
TL;DR: A model is formulated that minimizes the maximum regret on the expected returns while the conditional value-at-risk is upper bounded under different scenario settings and it will be seen that using scenarios usually improves the realized portfolio returns.
TL;DR: In this paper, the melting heat transfer process of n-octadecane when confined in a cylinder-cubic cavity under the influence of an electric field is experimentally investigated.
TL;DR: In this article, a profitability analysis is performed for three real biogas production plants located in Cornwall (United Kingdom), considering a total of 66 different scenarios where critical parameters such as distance from production point to gas grid, subsidies, etcetera, were evaluated.
TL;DR: In this article, a compression ignition reciprocating internal combustion engine has been modified to allow operation with late direct injection of rapeseed biodiesel fuel blends, without decreasing performance or using expensive emission post-treatment systems.