Browsing by Author "Laresgoiti, I."
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Item Achievements of the Esprit IV project 22297 ElectroNet - A project closing report(2001) Dreyer, T.; Giannini, M.; Lambrecht, D.; Laresgoiti, I.; Selvik, E.; Weber, Th; Tecnalia Research & InnovationThe ESPRIT IV (European strategic programme for research and development in information technology)project ElectroNet aimed at defining a European data model suitable for planning applications of HV (high voltage) and EHV (extra high voltage) power systems by applying the ISO-STEP-methodology. For three years thirteen partners from seven European countries worked on this project which was finally completed by the end of September 1999. This paper presents the innovative concepts developed for ElectroNet. Finally an outlook of a subsequent planned project EPSIM is given.Item Architectural framework for the integration of distributed resources(2003) Jimeno, J.; Laresgoiti, I.; Oyarzabal, J.; Stene, B.; Bacher, R.; POWER SYSTEMS; Tecnalia Research & InnovationDeregulation of the electricity sector, environmental concern, advances i in Information and Communication Technologies (ICT) and the appearance of new cost effective energy generation technologies, are driving the traditionally safe and reliable electrical network onto a situation in which the quality level of electricity supply will not only have to be maintained, but even increased, although difficulties for doing it will be greater than before due to uncertainties arising from competitive market driven transactions. The integration of market management together with the physical management of the electrical network creates several problems that the use of ICTs is going to help to solve. In this context, Internet andjthe Semantic Web technologies appear as the most cost effective and promising way to achieve the interoperation of bothlinterrelated worlds. Scada is the basic system for every process control. The data provided by the Scada system is mainly focused onto the control of the process without taking into account that the information can be used for other means and by other services within a utility. The research performed in this paper reports on the ways to achieve the ntitization of the SCADA information in different kind of applications by wrapping the data values coming from the process with the semantic meaning of what they mean, and its use for different energy related applications.Item Building and using an electrical network ontology for fault diagnosis(1998) Bernaras, A.; Laresgoiti, I.; Bartolomé, N.; Corera, J.; Tecnalia Research & Innovation; Centros PRE-FUSION TECNALIA - (FORMER)Nowadays reuse-based software development involves identifying both software and data components (objects, relations, etc.) reusable in different applications and/or domains. The KACTUS project set out to investigate the feasibility of knowledge reuse in complex technical systems and the role of ontologies to support it. This has been investigated by creating ontologies for particular domains and reusing them for different tasks or applications. One of the domains of interest in the project was the electrical network. In this paper we present our work on modelling a diagnosis application and on using the resulting ontology in the implementation of the system.Item Configuring service recovery planning with the commonKADS library(Springer Verlag, 1996) Arlanzón, V.; Bernaras, A.; Laresgoiti, I.; Shadbolt, Nigel; O'Hara, Kieron; Schreibe, Guus; Tecnalia Research & InnovationIt has become clear that KBS development, if intended to meet existing industrial quality standards, will have to follow a well structured engineering approach. This, in turn, might increase the reliability of the product and reduce the development costs, thus increasing productivity. CommonKADS is a methodology for KBS development supported by a library of reusable modeling components. This methodology and its library can provide the means for the methodological approach required in the development of knowledge intensive systems. Service recovery planning is a knowledge intensive process whose aim is to drive safely an electrical network from a disturbance situation to its normal operating condition. Many types of knowledge are required in a service recovery planning application, and thus, we consider that the effort spent using a structured methodology for its design will be paid for by the identification of components and structured knowledge that can be reused in related applications. It is for this reason that we have attempted to model this real-world problem using the reusable components provided by the CommonKADS library. In this paper we present this modeling process and its results. We also present some conclusions with respect to the use of the C0mmonKADS library.Item Energy and behavioural modelling and simulation at facility management(CRC Press, 2012) Bourdeau, M.; Boissonnat, A.; Laresgoiti, I.; Tecnalia Research & InnovationThe main objective of the EC-funded FIEMSER project is to develop an innovative energy management system for existing and new residential buildings that optimizes the use of energy resources, and increases the overall building energy efficiency, by anticipating energy demand and improving user behaviour. In this paper we present the work achieved to build the FIEMSER Data Manager.We detail the methodology used to elaborate the Data Model, starting from the analysis of the various data exchanged in the use cases.We present how these data have been categorized and structured in a global data model, interoperable with standard BIM representations like IFC or gbXML. Finally we illustrate how this data model underlies the implementation of the Data Manager, which interfaces with other system components through Restful web services. The FIEMSER system will be tested in two locations to assess the energy savings compared to more traditional energy control systems.Item Forecasting flexibility in electricity demand with price/consumption volume signals(2013-02) Gorria, C.; Jimeno, J.; Laresgoiti, I.; Lezaun, M.; Ruiz, N.; POWER SYSTEMS; Tecnalia Research & InnovationThe introduction of renewable energy sources, particularly wind power, is limited by their dependence on weather conditions and by the difficulty of storing surplus energy for use at times when production is low. One effective way of tackling the energy storage problem is to minimise the need for storage, i.e. to switch from a system based on producing electricity in response to the unpredictable whims of demand to one in which consumption adapts to supply. Demand can be managed indirectly via the sending of price/consumption volume signals. This paper presents a mathematical model for forecasting the aggregated electricity demand of a group of domestic consumers signed up to an incentive-based demand management programme. Under this programme consumers receive signals that offer financial incentives for limiting their volume of consumption at time intervals when system peak demand is forecast. The resulting optimisation model is a mixed-integer linear programming problem implemented in JAVA and solved using free software. This model is applied to a case study in which the objective is to limit consumption by a population of 15932 consumers from 15:00 to 17:45 on a specific summer day. The responses to two different incentive amounts are shown.Item Integration with Ontologies Conference Paper WM2003, April 2003, Luzern(Gesellschaft fur Informatik (GI), 2003) Maier, Andreas; Aguado, J.; Bernaras, A.; Laresgoiti, I.; Pedinaci, C.; Peña, N.; Smithers, T.; Reimer, Ulrich; Abecker, Andreas; Staab, Steffen; Stumme, Gerd; Tecnalia Research & Innovation; ADAPTACIÓN AL CAMBIO CLIMÁTICOOne of today’s hottest IT topics is integration, as bringing together information from different sources and structures is not completely solved. The approach outlined here wants to illustrate how ontologies [Gr93] could help to support the integration process. The main benefits for an ontology-based approach are - the ability to cover all occurring data structures, for ontologies can be seen as nowadays most advanced knowledge representation model - the combination of deduction and relational database systems, which extends the mapping and business logic capabilities - a higher degree of abstraction, as the model is separated from the data storage - its extendibility and reusability.Item Ontology for fault diagnosis in electrical networks(1996) Bernaras, A.; Laresgoiti, I.; Bartolome, N.; Corera, J.; Tecnalia Research & Innovation; Centros PRE-FUSION TECNALIA - (FORMER)In a diagnosis system, the representation of the network is clearly necessary, and much of the knowledge used can be shared by other applications. This application domain therefore provides the basis for the development of a generalized ontology of the electrical network. This article presents an ontology to represent the electrical network from the point of view of diagnosis, i.e., an ontology of the elements of the network that are necessary for fault diagnosis.Item Semantic Web technology for Grid control(2008) Liutkus, G.; Jimeno, J.; Laresgoiti, I.; Schowe-Von Der Brelie, B.; Schnettler, A.; Schröder, A.; Werlen, K.; POWER SYSTEMS; Tecnalia Research & InnovationToday, semantic technologies are deployed in the representation of knowledge and the development of inference engines that can incorporate reasoning capabilities to the systems. The S-TEN technology is extending the Semantic Web technologies for applications in industrial sectors. In the field of active distribution networks several objectives are addressed: to enable an automatic re-configuration of a microgrid, to improve the integration of dispersed generation by enhanced monitoring and control processes and to facilitate the integration of demand resources into the control of the grid using market mechanisms. The grids of the electrical network of the future will need to be highly automated, will require a reduced human intervention and will have a dynamic characteristic. Dynamic characteristic indicates the possibility of the equipment connected in the network to connect, disconnect and provide services to the central controller for managing the network. This capability will require plug and play capabilities that need the specification of standard protocols and data exchange models. But apart from this it also requires to provide self-describing capabilities to the devices and inference capabilities to the grid controller. Within the EU project S-TEN, co-funded by the European Community's Sixth Framework Programme (FP6), three applications will be developed in the area of power systems, two of them being presented in this paper. One application is dedicated to microgrid control and the other one focuses on the mechanisms for demand side bidding and resources dispatch. A description of the third application committed to the monitoring and control of distributed energy resources is given in [2]. 1. Microgrid control application The application that is going to be developed is related with the secondary control of a microgrid, but taking into account that the knowledge about the components that can be controlled makes the re-configuration of the network simpler. This advantage of adjustable operation facilitates the penetration of renewables, and makes possible an intelligent and distributed reaction to disturbances that can deviate the operation of the microgrid from its intended purpose. In the paper, the components of the microgrid will be described as well as the normal operation scenario and a set of disturbances or deviations from a normal scenario. The kind of disturbances that will be considered are failures of generation sources, the shutdown of modules in charge of scheduling the resources or the failure of generators to give the assigned power to the network. Besides, it will show the ontology used for the selfdescription of one of the components. 2. Demand-Side Bidding Demand-Side Bidding (DSB) enables the supplier to adjust his Spot Market bids. Such optimized exploitation of loads during the planning phase requires appropriate measures during the operation phase in order to guarantee a balanced system. Today DSB is only applied to dedicated large single consumers or groups of large consumers with similar behaviour. An appropriate Control, Metering and Communication (CMC) infrastructure is customized based on a case by case analysis. The S-TEN approach suggests a more generic CMC infrastructure based on Semantic Web technologies. It reduces costs and enables wider DSB participation of smaller consumers. S-TEN technology will support the self-description of devices and the publishing of services on the web, e. g. storage capabilities of heating and cooling devices could be published dynamically on the web. This information will be exploited for improved bids on one hand and a balanced system within a trading period on the other hand. Additional information on the applications and on the project is provided at the project's website.