Meteorological data for RES-E integration studies: State of the art review

The ongoing growth of RES-E requires power system modellers to adapt both methodologies and datasets, in particular time series for electricity generation from wind and PV. Meteorological models are increasingly used for this purpose. This report provides on overview on the methodologies available and the approaches pursued by recent RES-E integration studies. Based on this review, recommendations for best practice are identified.JRC.F.6-Energy Technology Policy Outloo

Aplicació de pick and place de peces de LEGO amb visió artificial en un robot col·laboratiu

[ES] El trabajo desarrollado consiste principalmente en una aplicación de visión artificial desarrollada con el software Merlic de MVTec donde la cámara detecta las piezas de construcción MegaBloks correspondientes para construir cualquier figura con estas. Para ello las piezas de MegaBlocks pasan por una cinta transportadora, y la cámara, colocada en una posición fija arriba de la cinta transportadora, analiza y clasifica las piezas mediante un programa de aprendizaje profundo, o inteligencia artificial, desarrollado con el software Deep Learning Tool también de MVTec. Comparando esta clasificación de las piezas con una base de datos donde se almacena la información de las piezas necesarias y la posición de estas en el área de montaje, el software manda una señal por TCP/IP (Socket) a un robot colaborativo de Universal Robots, en concreto un UR3e, así este robot coge la pieza de la cinta transportadora y la coloca justo en su sitio para construir la pieza final, que es un puente de unas 10 piezas distintas tanto en forma y color. Para ello previamente hemos realizado una calibración de la cámara y un preprocesamiento de la imagen con Merlic para el correcto funcionamiento de la clasificación de piezas con el software de aprendizaje. En cuanto a los resultados obtenidos a la finalización del proyecto son satisfactorios, consiguiendo un correcto funcionamiento de toda la aplicación, tanto en el robot como en la cámara de visión artificial, logrando unos buenos porcentajes de precisión en los modelos en los clasificadores de piezas.[EN] The work to be developed consists mainly of an artificial vision application developed with MVTec's Merlic software where the camera will detect the corresponding MegaBloks construction pieces to build any figure with them. To do this, the MegaBlocks pieces will go through a conveyor belt, and the camera, which will be placed in a fixed position above the conveyor belt, will analyze and classify the pieces through a deep learning program, or artificial intelligence, developed with the Deep Learning Tool software also from MVTec. Comparing this classification of the parts with a database containing the information on the necessary parts and their position in the assembly area, the software will send a signal via TCP/IP (Socket) to a Universal Robots collaborative robot, specifically a UR3e, so that this robot takes the piece from the conveyor belt and places it exactly in its place to build the final piece, which in our case will be a bridge of about 10 different pieces in both shape and color. For this, it will be necessary to previously calibrate the camera and the robot, in addition to preprocessing the image with Merlic for the correct functioning of the part classification with the learning software. As for the results obtained at the end of the project, they are satisfactory, achieving a correct operation of the entire application, both in the robot and in the artificial vision camera, achieving good percentages of precision in the part classifiers.[CA] El treball a desenvolupar consisteix principalment en una aplicació de visió artificial desenvolupada amb el programari Merlic de MVTec on la cambra anirà detectant les peces de construcció MegaBloks corresponents per a construir qualsevol figura amb aquestes. Per a això les peces de MegaBlocks aniran passant per una cinta transportadora, i la cambra, que estarà col·locada en una posició fixa a dalt de la cinta transportadora, anirà analitzant i classificant les peces mitjançant un programa d’aprenentatge profund, o intelligència artificial, desenvolupat amb el programari Deep Learning Tool també de MVTec. Comparant aquesta classificació de les peces amb una base de dades on estarà la informació de les peces necessàries i la posició d’aquestes en l’àrea de muntatge, el programari manarà un senyal per TCP/IP (Socket) a un robot collaboratiu d’Universal Robots, en concret un UR3e, perquè aquest robot agafe la peça de la cinta transportadora i la colloque just en el seu lloc per a construir la peça final, que en el nostre cas serà un pont d’unes 10 peces diferents punt en forma i color. Per a això prèviament caldrà fer un calibratge de la cambra i del robot, a més d’un preprocessament de la imatge amb Merlic per al correcte funcionament de la classificació de peces amb el programari d’aprenentatge. Quant als resultats obtinguts a la finalització del projecte són satisfactoris, aconseguint un correcte funcionament de tota l’aplicació, tant en el robot com en la càmera de visió artificial, aconseguint uns bons percentatges de precisió en els models en els classificadors de peces.Aparicio Gonzalez, J. (2022). Aplicación de pick and place de piezas de LEGO con visión artificial en un robot colaborativo. Universitat Politècnica de València. http://hdl.handle.net/10251/18759

El holding aeroportuario. Un análisis de la estructura corporativa y la influencia de la estructura de red y las finanzas.

The creation of analysis models in the airport sector is key to interpreting how this sector works. It is a common practice to develop models in order to make estimates that allow forecasting the evolution of certain aspects in the future. This work creates an economic-financial model that is capable of explaining key aspects of the operation of a set of airports. This model is able to describe the economic structure of the Spanish airport system management company Aena. It also relates the influence of the network structure and the finances governing an airport and determines the existing connections linking revenue and cost data, together with a model of airport accessibility. That is, it allows the calculation of revenues and costs given an origin-destination matrix and given a database. It has been proven that the model developed is capable of explaining these issues described, based on the creation of scenarios, where different cases are simulated based on a series of established criteria. Based on the assumption that there are loss-making airports, this work proposes the development of a first initial scenario where no airport is closed. Next, other scenarios are proposed where airports are closed, following territorial accessibility criteria. Finally, the scenarios already created are analyzed again, this time applying annual growth values to them. The work concludes by verifying that the model created works and that it is capable of correctly explaining the points raised. Finally, some ideas are put forward that can be developed in the future.Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructur

Estratigrafía de las rocas metasedimentarias (Neoproterozoico-Cámbrico) de la sierra de Mojotoro, Cordillera oriental argentina

El presente trabajo consiste en un estudio geológico detallado de las metamorfitas (Fm Puncoviscana s.l. o Complejo Puncoviscana) que constituyen el núcleo estratigráfico de la sierra de Mojotoro, Cordillera Oriental Argentina. El análisis integrado de este conjunto de rocas permitió dividir la clásica Fm Puncoviscana s.l. o Complejo Puncoviscana en tres unidades estratigráficas, que de más antigua a joven son: las Formaciones Chachapoyas, Alto de la Sierra y Guachos. La Formación Chachapoyas aflora en el flanco occidental de la sierra; está compuesta por facies de metapelitas y metaareniscas verdosas de grano muy fino, con un clivaje dominante de plano axial. Las rocas están fuertemente plegadas y afectadas por un metamorfismo dentro del campo de la anquizona alta-epizona. La Formación Chachapoyas esta intruida por diques ácidos de una edad de 533 ± 2 Ma. La facies arenosas son del tipo cuarzosas de grano fino clasto-soportadas y las facies pelíticas están compuestas por illita y clorita. La Formación Alto de la Sierra es una unidad metaarenosa, compuesta por metavaques cuarzosas, líticas y feldespáticas, donde la característica más notable es la presencia de material volcaniclástico, claramente identificable a través de corte delgado. Las arcillas de esta unidad son del tipo illita y escasos interestratificados de illita/esmectita. Las rocas fueron afectadas en un grado metamórfico tipo anquizona débil a intensa. La Formación Guachos constituye una secuencia heterolítica de metaareniscametapelita de coloraciones parda, pardo verdosas, en la cual se identificaron trazas fósiles de la icnofacies de Nereites. Las metaareniscas son del tipo cuarzosas donde se reconocen algunos líticos volcánicos de textura felsítica y las metapelitas están compuestas por illita, illita/clorita y clorita. Las rocas se encuentran plegadas y afectadas por un evento de deformación reconocible a escala de campo y en corte delgado. El grado de metamorfismo al cual estuvieron sujetas las rocas es dentro del campo de la anquizona intensa-epizona.Fil: Aparicio Gonzalez, Pamela Alejandra. Universidad Nacional de Salta. Consejo de Investigacion; Argentina. Universidad Nacional del Comahue. Facultad de Ingenieria. Departamento de Geologia y Petroleo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta; ArgentinaFil: Moya, Maria Cristina. Universidad Nacional de Salta. Consejo de Investigacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta; ArgentinaFil: Impiccini, Agnes. Universidad Nacional del Comahue. Facultad de Ingenieria. Departamento de Geologia y Petroleo; Argentin

Seasonal impact analysis on population due to continuous sulphur emissions from severonikel smelters of the Kola Peninsula

cited By 0This study is devoted to investigation of total deposition and loading patterns for population of the North-West Russia and Scandinavian countries due to continuous emissions (following “mild emission scenario”) of sulphates from the Cu-Ni smelters (Severonikel enterprise, Murmansk region, Russia). The Lagrangian long-range dispersion model (Danish Emergency Response Model for Atmosphere) was run in a long-term mode to simulate atmospheric transport, dispersion and deposition over the Northern Hemispheric’s domain north of 10°N, and results were integrated and analyzed in the GIS environment. Analysis was performed on annual and seasonal scales, including depositions, impact on urban areas and calculating individual and collective loadings on population in selected regions of Russia and Scandinavian countries. It was found that wet deposition dominates, and it is higher in winter. The North-West Russia is more influenced by the Severonikel emissions compared with the Scandinavian countries. Among urban areas, the Russian cities of Murmansk (due to its proximity to the source) and Arkhangelsk (due to dominating atmospheric flows) are under the highest impact. The yearly individual loadings on population are the largest (up to 120 kg/person) for the Murmansk region; lower (15 kg/person) for territories of the northern Norway, and the smallest (less than 5 kg/person) for the eastern Finland, Karelia Republic, and Arkhangelsk region. These loadings have distinct seasonal variability with a largest contribution during winter-spring for Russia, spring – for Norway, and autumn – for Finland and Sweden; and the lowest during summer (i.e. less than 10 and 1 kg/person for the Russia and Scandinavian countries, respectively). The yearly collective loadings for population living on the impacted territories in Russia, Finland, Norway, and Sweden are 2628, 140.4, 13, and 10.7 tonnes, respectively. © 2018, Lomonosov Moscow State University. All rights reserved.Peer reviewe

A Parallel Application of Matheuristics in Data Envelopment Analysis

Data Envelopment Analysis (DEA) is a non-parametric methodology for estimating technical efficiency and benchmarking. In general, it is desirable that DEA generates the efficient closest targets as benchmarks for each assessed unit. This may be achieved through the application of the Principle of Least Action. However, the mathematical models associated with this principle are based fundamentally on combinatorial NP-hard problems, difficult to be solved. For this reason, this paper uses a parallel matheuristic algorithm, where metaheuristics and exact methods work together to find optimal solutions. Several parallel schemes are used in the algorithm, being possible for them to be configured at different stages of the algorithm. The main intention is to divide the number of problems to be evaluated in equal groups, so that they are resolved in different threads. The DEA problems to be evaluated in this paper are independent of each other, an indispensable requirement for this algorithm. In addition, taking into account that the main algorithm uses exact methods to solve the mathematical problems, different optimization software has been evaluated to compare their performance when executed in parallel. The method is competitive with exact methods, obtaining fitness close to the optimum with low computational time.J. Aparicio and M. González thank the financial support from the Spanish ‘Ministerio de Economía, Industria y Competitividad’ (MINECO), the ‘Agencia Estatal de Investigacion’ and the ‘Fondo Europeo de Desarrollo Regional’ under grant MTM2016-79765-P (AEI/FEDER, UE)

The combination of geomatic approaches and operational modal analysis to improve calibration of finite element models: a case of study in Saint Torcato church (Guimarães, Portugal)

This paper present a set of procedures based on laser scanning, photogrammetry (Structure from Motion) and operational modal analysis in order to obtain accurate numeric models which allows identigying architectural complications that arise in historical buildings. In addition, themethod includes tools that facilitate building-damage monitoring tasks. All of these aimed to obtain robust basis for numerical analysis of the actual behavior and monitoring task. This case study seeks to validate said methodologies, using as an example the case of Saint Torcato Church, located in Guimãres, Portugal

A parameterized scheme of metaheuristics with exact methods for determining the Principle of Least Action in Data Envelopment Analysis

Data Envelopment Analysis (DEA) is a nonparametric methodology for estimating technical efficiency of a set of Decision Making Units (DMUs) from a dataset of inputs and outputs. This paper is devoted to computational aspects of DEA models under the application of the Principle of Least Action. This principle guarantees that the efficient closest targets are determined as benchmarks for each assessed unit. Usually, these models have been addressed in the literature by applying unsatisfactory techniques, based fundamentally on combinatorial NPhard problems. Recently, some heuristics have been developed to partially solve these DEA models. This paper improves the heuristic methods used in previous works by applying a combination of metaheuristics and an exact method. Also, a parameterized scheme of metaheuristics is developed in order to implement metaheuristics and hybridations/combinations, adapting them to the particular problem proposed here. In this scheme, some parameters are used to study several types of metaheuristics, like Greedy Random Adaptative Search Procedure, Genetic Algorithms or Scatter Search. The exact method is included inside the metaheuristic to solve the particular model presented in this paper. A hyperheuristic is used on top of the parameterized scheme in order to search, in the space of metaheuristics, for metaheuristics that provide solutions close to the optimum. The method is competitive with exact methods, obtaining fitness close to the optimum with low computational timeJ. Aparicio and M. González thank the financial support from the Spanish ‘Ministerio de Economa, Industria y Competitividad’ (MINECO), the ‘Agencia Estatal de Investigacion’ and the ‘Fondo Europeo de Desarrollo Regional’ under grant MTM2016-79765-P (AEI/FEDER, UE).Additionally, D. Giméenez thanks the financial support from the Spanish MINECO, as well as by European Commission FEDER funds, under grant TIN2015-66972-C5-3-R

Effect of ambient temperature variations on an indigenous microalgae-nitrifying bacteria culture dominated by Chlorella

[EN] Two outdoor photobioreactors were operated to evaluate the effect of variable ambient temperature on an indigenous microalgae-nitrifying bacteria culture dominated by Chlorella. Four experiments were carried out in different seasons, maintaining the temperature-controlled PBR at around 25¿°C (by either heating or cooling), while the temperature in the non-temperature-controlled PBR was allowed to vary with the ambient conditions. Temperatures in the range of 15¿30¿°C had no significant effect on the microalgae cultivation performance. However, when the temperature rose to 30¿35¿°C microalgae viability was significantly reduced. Sudden temperature rises triggered AOB growth in the indigenous microalgae culture, which worsened microalgae performance, especially when AOB activity made the system ammonium-limited. Microalgae activity could be recovered after a short temperature peak over 30¿°C once the temperature dropped, but stopped when the temperature was maintained around 28¿30¿°C for several days.This research work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO, Projects CTM2014-54980-C2-1-R and CTM2014-54980-C2-2-R) jointly with the European Regional Development Fund (ERDF), both of which are gratefully acknowledged. It also received support from the Spanish Ministry of Education, Culture and Sport via a pre-doctoral FPU fellowship to authors J. González-Camejo (FPU14/05082) and S. Aparicio (FPU/15/02595).Gonzalez-Camejo, J.; Aparicio Antón, SE.; Ruano, M.; Borrás, L.; Barat, R.; Ferrer, J. (2019). Effect of ambient temperature variations on an indigenous microalgae-nitrifying bacteria culture dominated by Chlorella. Bioresource Technology. 290:1-10. https://doi.org/10.1016/j.biortech.2019.121788S11029