Multi-agent modelling for the simulation of a simple smart microgrid

The smart grid is a highly complex system that is being formed from the traditional power grid, adding new and sophisticated communication and control devices. This will enable integrating new elements for distributed power generation and also achieving an increasingly automated operation so for actions of the utilities as for customers. In order to model such systems a bottom-up method is followed, using only a few basic elements which are structured into two layers: a physical layer for the electrical power transmission, and one logical layer for element communication. A simple case study is presented to analyse the possibilities of simulation. It shows a microgrid model with dynamic load management and an integrated approach that can process both electrical and communication flows.

Modeling smart grids as complex systems through the implementation of intelligent hubs

ICINCO 2010

El soleamiento en las fachadas, técnicas para su reducción y pre dimensionamiento.

[EU]Lan honen helburu nagusia eraikuntzan gehituko diren argi-babeski sistema mota desberdinak aurkeztea da, bertan ematen den energia kontsumoa murrizteko asmoz. Izan ere, argi naturalaren erabilpen egoki batek eraikinaren efizientzia hobetzera eramango gaitu. Horretarako, ezinbestekoa izango da baliabide hau behar bezala ezagutzea, argitasuna eta beharrezko babesa eskaintzeko, eta ondorioz, energia aurreztea lortzeko. Babes sistema egokiena aukeratu baino lehen, aldez aurretik sortu izan diren argi-babeski mota desberdinak aztertu izan dira. Horrez gain, eguzki erradiazioa neurtzeko metodo grafiko eta analitikoak ere aztertu dira. Ondoren, Ecotect programak eskaintzen dituen simulazioei esker, eguzki erradiazioaren datu zehatzagoak lortzeko asmoz, ikasketa horretan erabiliko den eraikinaren kokapena, orientazioa eta ezaugarriak erabaki dira. Behin prototipoa definituta, programa bidez lau babes sistema mota desberdinak aztertu dira, horrela babesik gabeko eraikinean lortutako datuak alderatzeko. Azterketa Bilbo eta Sevillan egitea erabaki izan da. Izan ere, bi hiriburu hauek klimatologian duten desberdintasuna argi-babeskien aukeraketan duen eragina aztertzeko aukeratu dira, gainera, orientazioak eta argi babeskien dimentsioek ere izan dute zer esana aukeraketa garaian. Horrez gain, argi-babeskiek sortutako itzala ere aztertu izan da. Horrela, sistema hauen jarrera orokorra ikusi daiteke, eta beraz, uda garaian babesteko eta negu garaian eguzki izpiak sartzen uzteko duten ahalmena ikusi da. Bukatzeko, aurretik lortutako datu guztiei esker, eta bai kokapena zein orientazioa kontutan hartuz, babes sistema egokiena aukeratu da, jakinik ezinbestekoa dela argitasuna, babesa eta aurrezte energetikoaren arteko oreka egoki bat lortzea.

Guided Bus Rapid Transit

Electrical Bus Rapid Transit (eBRT) is a charging electrical public transport which brings a clean, high performance, and affordable cost alternative from the conventional traffic vehicles which work with combustion and hybrid technology. These buses charge the battery in every bus stop to arrive at the next station. But, this charging system needs an appropriate infrastructure called pantograph, and it requires a high precision bus location to maintain battery lifetime, energy saving and charging time. To overcome this issue Vicomtech and Datik has planned a project based on computer vision to help to the driver to locate the vehicle in the correct place. In this document, we present a mono camera bus driver guided fast algorithm because these vehicles embedded computers do not support high computation and precision operations. In addition to the frequent lane sign, there are more accurate geometric beacons painted on the road to bring metric information to the vision system. This method uses segmentation to binarize the image discriminating the background space. Besides it detects, tracks and counts different lane mark contours in addition to classify each special painted mark. Besides it does not need any calibration task to calculate longitudinal and cross distances because we know the lane mark sizes.