Browsing by Keyword "Hardware and Architecture"
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Item The AFarCloud ECSEL Project(IEEE, 2019-10) Castillejo, Pedro; Curuklu, Baran; Fresco, Roberto; Johansen, Gorm; Bilbao-Arechabala, Sonia; Martinez-Rodriguez, Belen; Pomante, Luigi; Martinez-Ortega, Jose-Fernan; Santic, Marco; Konofaos, Nikos; Kitsos, Paris; Tecnalia Research & Innovation; BIGDATAFarming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate identification and proper quantification of pathogens affecting plant and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate FARming in the CLOUD) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real-time data mining techniques.Item Aggregate Farming in the Cloud: The AFarCloud ECSEL project: The AFarCloud ECSEL project(2020-10) Castillejo, Pedro; Johansen, Gorm; Cürüklü, Baran; Bilbao-Arechabala, Sonia; Fresco, Roberto; Martinez-Rodriguez, Belen; Pomante, Luigi; Rusu, Cristina; Martínez-Ortega, José-Fernán; Centofanti, Carlo; Hakojärvi, Mikko; Santic, Marco; Häggman, Johanna; Tecnalia Research & Innovation; BIGDATAFarming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate monitoring of soil and crop properties and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate Farming in the Cloud) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labor costs. Moreover, such a platform can be integrated with farm management software to support monitoring and decision-making solutions based on big data and real-time data mining techniques.Item Applications of Models and Tools for Mesoscale and Microscale Thermal Analysis in Mid-Latitude Climate Regions—A Review(2021-11-10) Lobaccaro, Gabriele; De Ridder, Koen; Acero, Juan Angel; Hooyberghs, Hans; Lauwaet, Dirk; Maiheu, Bino; Sharma, Richa; Govehovitch, Benjamin; Tecnalia Research & InnovationUrban analysis at different spatial scales (micro- and mesoscale) of local climate conditions is required to test typical artificial urban boundaries and related climate hazards such as high temperatures in built environments. The multitude of finishing materials and sheltering objects within built environments produce distinct patterns of different climate conditions, particularly during the daytime. The combination of high temperatures and intense solar radiation strongly perturb the environment by increasing the thermal heat stress at the pedestrian level. Therefore, it is becoming common practice to use numerical models and tools that enable multiple design and planning alternatives to be quantitatively and qualitatively tested to inform urban planners and decision-makers. These models and tools can be used to compare the relationships between the micro-climatic environment, the subjective thermal assessment, and the social behaviour, which can reveal the attractiveness and effectiveness of new urban spaces and lead to more sustainable and liveable public spaces. This review article presents the applications of selected environmental numerical models and tools to predict human thermal stress at the mesoscale (e.g., satellite thermal images and UrbClim) and the microscale (e.g., mobile measurements, ENVI-met, and UrbClim HR) focusing on case study cities in mid-latitude climate regions framed in two European research projects.Item The AQUAS ECSEL Project Aggregated Quality Assurance for Systems: Co-Engineering Inside and Across the Product Life Cycle: Co-Engineering Inside and Across the Product Life Cycle(2019-09) Pomante, Luigi; Muttillo, Vittoriano; Křena, Bohuslav; Vojnar, Tomáš; Veljković, Filip; Magnin, Pacôme; Matschnig, Martin; Fischer, Bernhard; Martinez, Jabier; Gruber, Thomas; SWTThere is an ever-increasing complexity of the systems we engineer in modern society, which includes facing the convergence of the embedded world and the open world. This complexity creates increasing difficulty with providing assurance for factors including safety, security and performance. In such a context, the AQUAS project investigates the challenges arising from e.g., the inter-dependence of safety, security and performance of systems and aims at efficient solutions for the entire product life-cycle. The project builds on knowledge of partners gained in current or former EU projects and will demonstrate the newly developed methods and techniques for co-engineering across use cases spanning Aerospace, Medicine, Transport and Industrial Control.Item Challenges for Digitalisation in Building Renovation to Enhance the Efficiency of the Process: A Spanish Case Study: A spanish case study(2021-11-03) Lasarte, Natalia; Elguezabal, Peru; Sagarna, Maialen; Leon, Iñigo; Otaduy, Juan Pedro; E&I SEGURAS Y RESILIENTES; ECOEFICIENCIA DE PRODUCTOS DE CONSTRUCCIÓNAlthough construction is one of the largest industries in the world, it is one of the least digitised and its productivity is still very low. Excesses of time and cost are common and are even more accentuated for building renovation. Recently, the building information modeling (BIM) methodology has strongly entered in the construction sector and appears to be an effective paradigm shift. Considering all of the previously mentioned aspects, this article addresses the identification and analysis of the critical barriers of renovation and the potential for digitalisation to overcome them using BIM. The methodology that was used is based on an open innovation approach called Living Labs, where consultations with the key stakeholders of the construction process aims for a higher digitalisation to focus on real needs and fitted to the user’s requirements. Starting from a worldwide survey, the analysis of the Spanish casuistry is deepened. From the analysis of barriers and opportunities, the necessary requirements for an optimal BIM application in renovation are highlighted. After identifying the key aspects that each stakeholder’ typology has considered as relevant, a set of key performance indicators have been selected, to monitor the improvements in the renovation process when BIM is adopted.Item Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection(2021-06-12) Ciani, Lorenzo; Guidi, Giulia; Patrizi, Gabriele; Galar, Diego; Tecnalia Research & InnovationReliability-centered maintenance (RCM) is a well-established method for preventive maintenance planning. This paper focuses on the optimization of a maintenance plan for an HVAC (heating, ventilation and air conditioning) system located on high-speed trains. The first steps of the RCM procedure help in identifying the most critical items of the system in terms of safety and availability by means of a failure modes and effects analysis. Then, RMC proposes the optimal maintenance tasks for each item making up the system. However, the decision-making diagram that leads to the maintenance choice is extremely generic, with a consequent high subjectivity in the task selection. This paper proposes a new fuzzy-based decision-making diagram to minimize the subjectivity of the task choice and preserve the cost-efficiency of the procedure. It uses a case from the railway industry to illustrate the suggested approach, but the procedure could be easily applied to different industrial and technological fields. The results of the proposed fuzzy approach highlight the importance of an accurate diagnostics (with an overall 86% of the task as diagnostic-based maintenance) and condition monitoring strategy (covering 54% of the tasks) to optimize the maintenance plan and to minimize the system availability. The findings show that the framework strongly mitigates the issues related to the classical RCM procedure, notably the high subjectivity of experts. It lays the groundwork for a general fuzzy-based reliability-centered maintenance method.Item Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions: A state-of-the-art systematic review, meta-analysis and future research directions(2022-06) Nan, Yang; Ser, Javier Del; Walsh, Simon; Schönlieb, Carola; Roberts, Michael; Selby, Ian; Howard, Kit; Owen, John; Neville, Jon; Guiot, Julien; Ernst, Benoit; Pastor, Ana; Alberich-Bayarri, Angel; Menzel, Marion I.; Walsh, Sean; Vos, Wim; Flerin, Nina; Charbonnier, Jean-Paul; van Rikxoort, Eva; Chatterjee, Avishek; Woodruff, Henry; Lambin, Philippe; Cerdá-Alberich, Leonor; Martí-Bonmatí, Luis; Herrera, Francisco; Yang, Guang; IARemoving the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to improve stability and robustness. Previous studies have described various computational approaches to fuse single modality multicentre datasets. However, these surveys rarely focused on evaluation metrics and lacked a checklist for computational data harmonisation studies. In this systematic review, we summarise the computational data harmonisation approaches for multi-modality data in the digital healthcare field, including harmonisation strategies and evaluation metrics based on different theories. In addition, a comprehensive checklist that summarises common practices for data harmonisation studies is proposed to guide researchers to report their research findings more effectively. Last but not least, flowcharts presenting possible ways for methodology and metric selection are proposed and the limitations of different methods have been surveyed for future research.Item Demonstration of Converter Control Interactions in MMC-HVDC Systems(2022-01-06) Chen, Jinlei; Wang, Sheng; Ugalde-Loo, Carlos E.; Ming, Wenlong; Adeuyi, Oluwole D.; D’Arco, Salvatore; Ceballos, Salvador; Parker, Max; Finney, Stephen; Pitto, Andrea; Cirio, Diego; Azpiri, Iñigo; POWER ELECTRONICS AND SYSTEM EQUIPMENTAlthough the control of modular multi-level converters (MMCs) in high-voltage direct-current (HVDC) networks has become a mature subject these days, the potential for adverse interactions between different converter controls remains an under-researched challenge attracting the attention from both academia and industry. Even for point-to-point HVDC links (i.e., simple HVDC systems), converter control interactions may result in the shifting of system operating voltages, increased power losses, and unintended power imbalances at converter stations. To bridge this research gap, the risk of multiple cross-over of control characteristics of MMCs is assessed in this paper through mathematical analysis, computational simulation, and experimental validation. Specifically, the following point-to-point HVDC link configurations are examined: (1) one MMC station equipped with a current versus voltage droop control and the other station equipped with a constant power control; and (2) one MMC station equipped with a power versus voltage droop control and the other station equipped with a constant current control. Design guidelines for droop coefficients are provided to prevent adverse control interactions. A 60-kW MMC test-rig is used to experimentally verify the impact of multiple crossing of control characteristics of the DC system configurations, with results verified through software simulation in MATLAB/Simulink using an open access toolbox. Results show that in operating conditions of 650 V and 50 A (DC voltage and DC current), drifts of 7.7% in the DC voltage and of 10% in the DC current occur due to adverse control interactions under the current versus voltage droop and power control scheme. Similarly, drifts of 7.7% both in the DC voltage and power occur under the power versus voltage droop and current control scheme.Item Design and Validation of a Novel Tool to Assess Citizens’ Netiquette and Information and Data Literacy Using Interactive Simulations(2022-03-14) Bartolomé, Juan; Garaizar, Pablo; ADV_INTER_PLATUntil recently, most of the digital literacy frameworks have been based on assessment frameworks used by commercial entities. The release of the DigComp framework has allowed the development of tailored implementations for the evaluation of digital competence. However, the majority of these digital literacy frameworks are based on self-assessments, measuring only low-order cognitive skills. This paper reports on a study to develop and validate an assessment instrument, including interactive simulations to assess citizens’ digital competence. These formats are particularly important for the evaluation of complex cognitive constructs such as digital competence. Additionally, we selected two different approaches for designing the tests based on their scope, at the competence or competence area level. Their overall and dimensional validity and reliability were analysed. We summarise the issues addressed in each phase and key points to consider in new implementations. For both approaches, items present satisfactory difficulty and discrimination indicators. Validity was ensured through expert validation, and the Rasch analysis revealed good EAP/PV reliabilities. Therefore, the tests have sound psychometric properties that make them reliable and valid instruments for measuring digital competence. This paper contributes to an increasing number of tools designed to evaluate digital competence and highlights the necessity of measuring higher-order cognitive skills.Item Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles(2019-02) Dendaluce Jahnke, Martin; Cosco, Francesco; Novickis, Rihards; Pérez Rastelli, Joshué; Gomez-Garay, Vicente; Tecnalia Research & Innovation; CCAMThe combination of machine learning and heterogeneous embedded platforms enables new potential for developing sophisticated control concepts which are applicable to the field of vehicle dynamics and ADAS. This interdisciplinary work provides enabler solutions -ultimately implementing fast predictions using neural networks (NNs) on field programmable gate arrays (FPGAs) and graphical processing units (GPUs)- while applying them to a challenging application: Torque Vectoring on a multi-electric-motor vehicle for enhanced vehicle dynamics. The foundation motivating this work is provided by discussing multiple domains of the technological context as well as the constraints related to the automotive field, which contrast with the attractiveness of exploiting the capabilities of new embedded platforms to apply advanced control algorithms for complex control problems. In this particular case we target enhanced vehicle dynamics on a multi-motor electric vehicle benefiting from the greater degrees of freedom and controllability offered by such powertrains. Considering the constraints of the application and the implications of the selected multivariable optimization challenge, we propose a NN to provide batch predictions for real-time optimization. This leads to the major contribution of this work: efficient NN implementations on two intrinsically parallel embedded platforms, a GPU and a FPGA, following an analysis of theoretical and practical implications of their different operating paradigms, in order to efficiently harness their computing potential while gaining insight into their peculiarities. The achieved results exceed the expectations and additionally provide a representative illustration of the strengths and weaknesses of each kind of platform. Consequently, having shown the applicability of the proposed solutions, this work contributes valuable enablers also for further developments following similar fundamental principles.Item Electrical Response Analysis of a Piezoelectric Energy Harvester Power Source Based on Electromechanical Parameters(2022-11-11) Perez-Alfaro, Irene; Gil-Hernandez, Daniel; Hernando, Eduardo; Quero, Fernando; Bernal, Carlos; Tecnalia Research & Innovation; SMART_MON; MercadoA piezoelectric energy harvester generator is a device capable of transforming environmental mechanical energy into electrical energy. The piezoelectric electromechanical parameters determine the maximum electrical power which is able to be transferred to an electric load. In this research work, an exhaustive study of the electromechanical parameters related to the piezoelectric material is carried out, modeling them as components of an electrical circuit, in order to analyze their influence on the transmitted power. On the other hand, some electrical loads are simulated to determine different matrix scenarios for a model developed by state-space equations in the Laplace transform domain. The results obtained have allowed to know how the piezoelectric material properties and mechanical characteristics influence the electrical power output of the energy harvester generator and the energy transmission behavior for different electric loads. The conclusions show how the different electromechanical parameters are related to each other, and how their combination transforms the mechanical environmental energy into the required electrical energy. The novelty of this research is the presentation of a model capable of obtaining the optimized working point of the harvester, taking into account not only the electric loads and current demands but also the piezoelectric material parameters.Item Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based Approach(2021-06-16) Gálvez, Antonio; Diez-Olivan, Alberto; Seneviratne, Dammika; Galar, Diego; Tecnalia Research & Innovation; INDUSTRY_THINGSHeating, ventilation, and air conditioning (HVAC) systems installed in a passenger train carriage are critical systems, whose failures can affect people or the environment. This, together with restrictive regulations, results in the replacement of critical components in initial stages of degradation, as well as a lack of data on advanced stages of degradation. This paper proposes a hybrid model-based approach (HyMA) to overcome the lack of failure data on a HVAC system installed in a passenger train carriage. The proposed HyMA combines physics-based models with data-driven models to deploy diagnostic and prognostic processes for a complex and critical system. The physics-based model generates data on healthy and faulty working conditions; the faults are generated in different levels of degradation and can appear individually or together. A fusion of synthetic data and measured data is used to train, validate, and test the proposed hybrid model (HyM) for fault detection and diagnostics (FDD) of the HVAC system. The model obtains an accuracy of 92.60%. In addition, the physics-based model generates run-to-failure data for the HVAC air filter to develop a remaining useful life (RUL) prediction model, the RUL estimations performed obtained an accuracy in the range of 95.21–97.80% Both models obtain a remarkable accuracy. The development presented will result in a tool which provides relevant information on the health state of the HVAC system, extends its useful life, reduces its life cycle cost, and improves its reliability and availability; thus enhancing the sustainability of the system.Item The Future of Wood Construction: Opportunities and Barriers Based on Surveys in Europe and Chile: Opportunities and Barriers Based on Surveys in Europe and Chile(2022-04-06) Leszczyszyn, Ewa; Heräjärvi, Henrik; Verkasalo, Erkki; Garcia-Jaca, Javier; Araya-Letelier, Gerardo; Lanvin, Jean-Denis; Bidzińska, Gabriela; Augustyniak-Wysocka, Dobrochna; Kies, Uwe; Calvillo, Alex; Wahlströmh, Margareta; Kouyoumji, Jean-Luc; Tecnalia Research & Innovation; ECOEFICIENCIA DE PRODUCTOS DE CONSTRUCCIÓNThe demand for wood has increased in recent years due to new technical possibilities and environmental concerns. This paper provides an analysis of the factors that affect the use of wood in the construction sector, and an assessment of their importance in individual countries and for groups of stakeholders. The study covers the technical, societal, political, economic, and gender aspects of wood construction, with the aim of increasing global understanding regarding national differences, the current situation, and the potential for further development. The subject was investigated using a survey, and the most important opportunities for and barriers to growth in the use of wood in the construction sector were selected, following a statistical analysis. The results indicate strong regional and cultural differences regarding the acceptance of some of the opportunities and barriers related to the development of wood construction. The findings indicate that there is a need to promote wood construction based on its technical and economic benefits rather than its societal ones. On the other hand, the current societal barriers should be addressed as a priority, together with the establishment of common and harmonized policies. The results of this study, therefore, will contribute to the generation of regional-sensitive information that can be useful for policymakers when updating the building codes in their individual countries.Item How to Achieve Positive Energy Districts for Sustainable Cities: A Proposed Calculation Methodology: A proposed calculation methodology(2021-01-02) Gabaldón Moreno, Andrea; Vélez, Fredy; Alpagut, Beril; Hernández, Patxi; Sanz Montalvillo, Cecilia; PLANIFICACIÓN ENERGÉTICAIn this paper, a methodology for calculating the energy balance at the district level and energy performance of those districts aspiring to become a Positive Energy District (PED) is proposed. PEDs are understood as districts that achieve a positive energy balance on an annual basis by means of exporting more energy than is consumed within their limits. The main issue to standardize the concept, besides which characteristics should be considered, is that current standards to calculate an energy balance are not applied at the district level. This paper reviews the current standards and adapts them to propose an energy balance calculation methodology. Calculation of an energy balance at the district level is complex since it includes several parameters, such as which loads (or elements) should be included, which renewable energy technologies should be considered on-site production, and which primary energy factors should be used. The proposed methodology is thought to help cities at the design stage of a district and to evaluate its annual energy balance. The methodology is performed in eight steps, and all the needed assumptions that affect the calculation of the annual energy balance are discussed in each stepItem Hybrid video quality prediction: reviewing video quality measurement for widening application scope: reviewing video quality measurement for widening application scope(2015-01) Barkowsky, Marcus; Sedano, Inigo; Brunnstrom, Kjell; Leszczuk, Mikolaj; Staelens, Nicolas; Leszczuk, Mikołaj; FACTORYA tremendous number of objective video quality measurement algorithms have been developed during the last two decades. Most of them either measure a very limited aspect of the perceived video quality or they measure broad ranges of quality with limited prediction accuracy. This paper lists several perceptual artifacts that may be computationally measured in an isolated algorithm and some of the modeling approaches that have been proposed to predict the resulting quality from those algorithms. These algorithms usually have a very limited application scope but have been verified carefully. The paper continues with a review of some standardized and well-known video quality measurement algorithms that are meant for a wide range of applications, thus have a larger scope. Their individual artifacts prediction accuracy is usually lower but some of them were validated to perform sufficiently well for standardization. Several difficulties and shortcomings in developing a general purpose model with high prediction performance are identified such as a common objective quality scale or the behavior of individual indicators when confronted with stimuli that are out of their prediction scope. The paper concludes with a systematic framework approach to tackle the development of a hybrid video quality measurement in a joint research collaboration.Item Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence(2022-03) Holzinger, Andreas; Dehmer, Matthias; Emmert-Streib, Frank; Cucchiara, Rita; Augenstein, Isabelle; Ser, Javier Del; Samek, Wojciech; Jurisica, Igor; Díaz-Rodríguez, Natalia; IAMedical artificial intelligence (AI) systems have been remarkably successful, even outperforming human performance at certain tasks. There is no doubt that AI is important to improve human health in many ways and will disrupt various medical workflows in the future. Using AI to solve problems in medicine beyond the lab, in routine environments, we need to do more than to just improve the performance of existing AI methods. Robust AI solutions must be able to cope with imprecision, missing and incorrect information, and explain both the result and the process of how it was obtained to a medical expert. Using conceptual knowledge as a guiding model of reality can help to develop more robust, explainable, and less biased machine learning models that can ideally learn from less data. Achieving these goals will require an orchestrated effort that combines three complementary Frontier Research Areas: (1) Complex Networks and their Inference, (2) Graph causal models and counterfactuals, and (3) Verification and Explainability methods. The goal of this paper is to describe these three areas from a unified view and to motivate how information fusion in a comprehensive and integrative manner can not only help bring these three areas together, but also have a transformative role by bridging the gap between research and practical applications in the context of future trustworthy medical AI. This makes it imperative to include ethical and legal aspects as a cross-cutting discipline, because all future solutions must not only be ethically responsible, but also legally compliant.Item Information technologies exposing children to privacy risks: Domains and children-specific technical controls: Domains and children-specific technical controls(2022-08) Crepax, Tommaso; Muntés-Mulero, Victor; Martinez, Jabier; Ruiz, Alejandra; SWT; QuantumEU data protection law requires that digital service providers and system developers put in place technical measures that are adequate to protect children’s informational privacy. The stringent legal obligations of implementing principles of data protection by design into digital systems intensified the engineers’ need to create processes and technological solutions to enhance children’s privacy in digital services. However, in several cases, generic controls have proven to have limited effects on the protection of children’s privacy, raising questions about the need to further develop children- specific technical controls. This paper contributes to address the need for privacy controls by providing (a) a summary of real-world applications of information technologies domains that expose children to privacy risks, and (b) a list that represents the state-of-the-art of the technical controls designed specifically to protect children’s privacy. We identify 24 technical controls that we manually classify with NIST Security and Privacy control categories and Hoepman’s Privacy design strategies. We find that most controls relate to identification and authentication, many of which in the form of techniques for age verification. In general, the vast majority of controls belong to minimization strategies. Our findings show that the field of technical controls specifically designed for children is yet to be developed.Item Innovative Circular Economy Models for the European Pulp and Paper Industry: A Reference Framework for a Resource Recovery Scenario: A reference framework for a resource recovery scenario(2021-09-15) Sopelana, Amaia; Auriault, Camille; Bansal, Anurag; Fifer, Karmen; Paiva, Helena; Maurice, Christian; Westin, Gunnar; Rios, Javier; Oleaga, Asier; Cañas, Antonio; LABORATORIO DE TRANSFORMACIÓN URBANA; TRAZABILIDAD CIRCULARAccording to recent literature in the field of sustainability, the circular economy (CE) appears to be a thriving opportunity for creating new businesses, although less attention has been paid to the form in which its principles fit into a comprehensive framework that enables companies to design it in a practical way. This paper presents the methodology that has been adopted to pave the way to a coherent reference framework for circular business model innovation and its outstanding design and implementation, taking into consideration the entire value and supply chain. A unique analysis of recent innovations in circular economy models is provided herein, together with an exhaustive analysis of those elements that enable or hinder their implementation. The main interactions among all those critical elements influencing how organisations innovate and operate cooperatively within a CE ecosystem are also evaluated. In addition, a study of five industrial cases in the pulp and paper industry allowed searching for industrial insights and empirical evidence of the relevance of those elements, including observation, document analysis, and interviews. Lastly, the main outcomes of this research are illustrated using the CE reference framework designed when applied to the aforementioned industrial cases, and relevant insights into future improvements are also provided.Item Integration of Real-Intelligence in Energy Management Systems to Enable Holistic Demand Response Optimization in Buildings and Districts(IEEE, 2018-10-18) Romero, Ander; de Agustin-Camacho, Pablo; Tsitsanis, Tasos; Tecnalia Research & Innovation; EDIFICACIÓN DE ENERGÍA POSITIVA; LABORATORIO DE TRANSFORMACIÓN URBANAAlthough multiple trials have been conducted demonstrating that demand side flexibility works and even though technology roll-out progresses significantly fast, the business application of residential and small tertiary demand response has been slow to develop. This paper introduces a holistic demand response optimization framework that enables significant energy costs reduction at the consumer side, while introducing buildings as a major contributor to energy networks' stability in response to network constraints and conditions. The backbone of the solution consists in a modular interoperability and data management framework that enables open standards-based communication along the demand response value chain. The solution is validated in four large-scale pilot sites, incorporating diverse building types, heterogeneous home, building and district energy systems and devices, a variety of energy carriers and spanning diverse climatic conditions, demographic and cultural characteristics.Item Lateral-acceleration-based vehicle-models-blending for automated driving controllers(2020-10-13) Matute-Peaspan, Jose A.; Marcano, Mauricio; Diaz, Sergio; Zubizarreta, Asier; Perez, Joshue; CCAMModel-based trajectory tracking has become a widely used technique for automated driving system applications. A critical design decision is the proper selection of a vehicle model that achieves the best trade-off between real-time capability and robustness. Blending different types of vehicle models is a recent practice to increase the operating range of model-based trajectory tracking control applications. However, current approaches focus on the use of longitudinal speed as the blending parameter, with a formal procedure to tune and select its parameters still lacking. This work presents a novel approach based on lateral accelerations, along with a formal procedure and criteria to tune and select blending parameters, for its use on model-based predictive controllers for autonomous driving. An electric passenger bus traveling at different speeds over urban routes is proposed as a case study. Results demonstrate that the lateral acceleration, which is proportional to the lateral forces that differentiate kinematic and dynamic models, is a more appropriate model-switching enabler than the currently used longitudinal velocity. Moreover, the advanced procedure to define blending parameters is shown to be effective. Finally, a smooth blending method offers better tracking results versus sudden model switching ones and non-blending techniques.