Regulador de llum controlat per ordinador

RESUM El llum electric és un tipus d’energia amb la que s’il•lumina tot el món i s’utilitza tant per a il•luminar la nit com per a disposar de llum addicional durant el dia. L’energia es pren directament de la xarxa de subministrament elèctric i permet encendre tot tipus de focus i bombetes. Actualment la necessitat de controlar la intensitat lumínica de focus és de gran utilitat i es poden veure exemples en escenaris de teatres, concerts musicals, domòtica bàsica a vivendes, botigues, restaurants, etc. on s’incorporen aparells òptims per aquest control. Aspectes com la programació d’encesa, apagat i intensitat desitjada de focus a una hora convinguda facilita el fet de fer-ho manualment i disposar de més temps propi. L’objectiu principal d’aquest treball és dissenyar i construir un regulador de llum controlat per ordinador capac de regular la intensitat lumínica de 8 focus independentment l’un de l’altre. El control de regulació s’efectua mitjancant un programa informàtic compatible amb ordinadors que incorporin el sistema operatiu Windows i és programable en el temps permetent seleccionar la intensitat desitjada a diferents hores del dia seleccionat. Com a conclusions es pot destacar un estalvi energètic al regular la intensitat dels focus evitant així la permanent connexio a una tensió màxima de 230 VAC i la oportunitat de construir un regulador de llum amb els documents subministrats.

Regulador de llum controlat per ordinador

El llum electric és un tipus d’energia amb la que s’il•lumina tot el món i s’utilitza tant per a il•luminar la nit com per a disposar de llum addicional durant el dia. L’energia es pren directament de la xarxa de subministrament elèctric i permet encendre tot tipus de focus i bombetes. Actualment la necessitat de controlar la intensitat lumínica de focus és de gran utilitat i es poden veure exemples en escenaris de teatres, concerts musicals, domòtica bàsica a vivendes, botigues, restaurants, etc. on s’incorporen aparells òptims per aquest control. Aspectes com la programació d’encesa, apagat i intensitat desitjada de focus a una hora convinguda facilita el fet de fer-ho manualment i disposar de més temps propi. L’objectiu principal d’aquest treball és dissenyar i construir un regulador de llum controlat per ordinador capac de regular la intensitat lumínica de 8 focus independentment l’un de l’altre. El control de regulació s’efectua mitjancant un programa informàtic compatible amb ordinadors que incorporin el sistema operatiu Windows i és programable en el temps permetent seleccionar la intensitat desitjada a diferents hores del dia seleccionat. Com a conclusions es pot destacar un estalvi energètic al regular la intensitat dels focus evitant així la permanent connexio a una tensió màxima de 230 VAC i la oportunitat de construir un regulador de llum amb els documents subministrats.

A Grid Supercomputing Enviroment for High Demand Computational Applications

Despite the huge increase in processor and interprocessor network performace, many computational problems remain unsolved due to lack of some critical resources such as floating point sustained performance, memory bandwidth, etc... Examples of these problems are found in areas of climate research, biology, astrophysics, high energy physics (montecarlo simulations) and artificial intelligence, among others. For some of these problems, computing resources of a single supercomputing facility can be 1 or 2 orders of magnitude apart from the resources needed to solve some them. Supercomputer centers have to face an increasing demand on processing performance, with the direct consequence of an increasing number of processors and systems, resulting in a more difficult administration of HPC resources and the need for more physical space, higher electrical power consumption and improved air conditioning, among other problems. Some of the previous problems can´t be easily solved, so grid computing, intended as a technology enabling the addition and consolidation of computing power, can help in solving large scale supercomputing problems. In this document, we describe how 2 supercomputing facilities in Spain joined their resources to solve a problem of this kind. The objectives of this experience were, among others, to demonstrate that such a cooperation can enable the solution of bigger dimension problems and to measure the efficiency that could be achieved. In this document we show some preliminary results of this experience and to what extend these objectives were achieved.

Competition with forward contracts: a laboratory analysis motivated by electricity market design

We use experiments to study the efficiency effects for a market as a whole of adding the possibility of forward contracting to a pre-existing spot market. We deal separately with the cases where spot market competition is in quantities and where it is in supply functions. In both cases we compare the effect of adding a contract market with the introduction of an additional competitor, changing the market structure from a triopoly to a quadropoly. We find that, as theory suggests, for both types of competition the introduction of a forward market significantly lowers prices. The combination of supply function competition with a forward market leads to high efficiency levels.

Asymmetric demand information in uniform and discriminatory call auctions: an experimental analysis motivated by electricity markets

We study the outcomes of experimental multi-unit uniform and discriminatory auctions with demand uncertainty. Our study is motivated by the ongoing debate about market design in the electricity industry. Our main aim is to compare the effect of asymmetric demand-information between sellers on the performance of the two auction institutions. In our baseline conditions all sellers have the same information, whereas in our treatment conditions some sellers have better information than others. In both information conditions we find that average transaction prices and price volatility are not significantly different under the two auction institutions. However, when there is asymmetric information among sellers the discriminatory auction is significantly less efficient. These results are not in line with the typical arguments made in favor of discriminatory pricing in electricity industries; namely, lower consumer prices and less price volatility. Moreover, our results provide some indication that discriminatory auctions reduce technical efficiency relative to uniform auctions.

Demand elasticity and market power in the spanish electricity market

In this paper we check whether generator's bid behavior at the Spanish whosale electricity market is consistent with the hypothesis of profit maximization on their residual demands. Using OMEL data, we find the arc-elacticity of the residual demand around the system marginal price. The results suggest thet the larger firms are not actually profit-msximization. We argue how the regulatory environment may drive these results. Finally, we repeat the analysis for the first session of the intra-day market where presumably firms may not have the same incentives as in the day-ahead market.

Monitorització de rendiment i accounting de centres de computació grid

El Port d'Informació Científica és un centre de Computació Grid de referència que dona suport a comunitats científiques, com el LHC (CERN). Al PIC, trobem una gran varietat de tecnologies que proporcionen serveis al centre. Des de l'arquitectura i elements de la xarxa, fins a recursos informàtics de computació, sistemes d'emmagatzematge a disc i cinta magnètica, bases de dades (ORACLE/PostgreSQL). El projecte consisteix en el disseny i implementació d'una base de dades col·lectora de tota la informació rellevant dels diferents sistemes del centre, i un portal web on mostrar tots els valors i gràfiques, tot basat en programari lliure.

Uranium reserve, nuclear fuel cycle delusion, CO2 emission from the sea, and electricity supply: reflections after the fuel meltdown of Fukushima nuclear power units

The Great Tohoku-Kanto earthquake and resulting tsunami has brought considerable attention to the issue of the construction of new power plants. We argue in this paper, nuclear power is not a sustainable solution to energy problems. First, we explore the stock of uranium-235 and the different schemes developed by the nuclear power industry to exploit this resource. Second, we show that these methods, fast breeder and MOX fuel reactors, are not feasible. Third, we show that the argument that nuclear energy can be used to reduce CO2 emissions is false: the emissions from the increased water evaporation from nuclear power generation must be accounted for. In the case of Japan, water from nuclear power plants is drained into the surrounding sea, raising the water temperature which has an adverse affect on the immediate ecosystem, as well as increasing CO2 emissions from increased water evaporation from the sea. Next, a short exercise is used to show that nuclear power is not even needed to meet consumer demand in Japan. Such an exercise should be performed for any country considering the construction of additional nuclear power plants. Lastly, the paper is concluded with a discussion of the implications of our findings.

An efficient use of virtualization in grid/cloud environments

Grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational resources. Grid enables access to the resources but it does not guarantee any quality of service. Moreover, Grid does not provide performance isolation; job of one user can influence the performance of other user’s job. The other problem with Grid is that the users of Grid belong to scientific community and the jobs require specific and customized software environment. Providing the perfect environment to the user is very difficult in Grid for its dispersed and heterogeneous nature. Though, Cloud computing provide full customization and control, but there is no simple procedure available to submit user jobs as in Grid. The Grid computing can provide customized resources and performance to the user using virtualization. A virtual machine can join the Grid as an execution node. The virtual machine can also be submitted as a job with user jobs inside. Where the first method gives quality of service and performance isolation, the second method also provides customization and administration in addition. In this thesis, a solution is proposed to enable virtual machine reuse which will provide performance isolation with customization and administration. The same virtual machine can be used for several jobs. In the proposed solution customized virtual machines join the Grid pool on user request. Proposed solution describes two scenarios to achieve this goal. In first scenario, user submits their customized virtual machine as a job. The virtual machine joins the Grid pool when it is powered on. In the second scenario, user customized virtual machines are preconfigured in the execution system. These virtual machines join the Grid pool on user request. Condor and VMware server is used to deploy and test the scenarios. Condor supports virtual machine jobs. The scenario 1 is deployed using Condor VM universe. The second scenario uses VMware-VIX API for scripting powering on and powering off of the remote virtual machines. The experimental results shows that as scenario 2 does not need to transfer the virtual machine image, the virtual machine image becomes live on pool more faster. In scenario 1, the virtual machine runs as a condor job, so it easy to administrate the virtual machine. The only pitfall in scenario 1 is the network traffic.

WMR navigation using local potential field corridors and narrow local occupancy grid perception

Path planning and control strategies applied to autonomous mobile robots should fulfil safety rules as well as achieve final goals. Trajectory planning applications should be fast and flexible to allow real time implementations as well as environment interactions. The methodology presented uses the on robot information as the meaningful data necessary to plan a narrow passage by using a corridor based on attraction potential fields that approaches the mobile robot to the final desired configuration. It employs local and dense occupancy grid perception to avoid collisions. The key goals of this research project are computational simplicity as well as the possibility of integrating this method with other methods reported by the research community. Another important aspect of this work consist in testing the proposed method by using a mobile robot with a perception system composed of a monocular camera and odometers placed on the two wheels of the differential driven motion system. Hence, visual data are used as a local horizon of perception in which trajectories without collisions are computed by satisfying final goal approaches and safety criteria

Estrategias para la gestión del workflow administrativo en entornos GRID : Integración con JPPF

Estudio de estrategias sobre la utilización de un GRID para realizar la gestión administrativa y la puesta en marcha de localizaciones remotas para la colaboración en este tipo de tareas.

Stochastic optimal bid to electricity markets with environmental risk constraints

There are many factors that influence the day-ahead market bidding strategies of a generation company (GenCo) in the current energy market framework. Environmental policy issues have become more and more important for fossil-fuelled power plants and they have to be considered in their management, giving rise to emission limitations. This work allows to investigate the influence of both the allowances and emission reduction plan, and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The Iberian Electricity Market and the Spanish National Emissions and Allocation Plans are the framework to deal with the environmental issues in the day-ahead market bidding strategies. To address emission limitations, some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), have been extended. This study offers to electricity generation utilities a mathematical model to determinate the individual optimal generation bid to the wholesale electricity market, for each one of their generation units that maximizes the long-run profits of the utility abiding by the Iberian Electricity Market rules, the environmental restrictions set by the EU Emission Trading Scheme, as well as the restrictions set by the Spanish National Emissions Reduction Plan. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed and the most remarkable results will be presented.

Framing the Europeanization footprint: a follow-up of the EU renewable electricity directive and its impact in Spai

És àmpliament conegut que l'europeïtzació ha guanyat molt terreny en els estudis europeus. Des de finals de la dècada de 1990, ha gaudit d'una important expansió per tal d'avaluar l'eficàcia de les polítiques a escala europea en l'àmbit intern. En aquest procés la política energètica ha jugat un paper molt paradoxal, sent persistentment exclosos de l'agenda de recerca de la europeïtzació, encara que la seva creixent importància en l'elaboració de polítiques comunitàries. No obstant això, la realitat és que, tot i haver estat reconegut recentment com una àrea de la UE amb l'aplicació del Tractat de Lisboa, també ha estat influenciat, directament o indirectament, pels efectes de l'europeïtzació. Com a resultat d'això, la política energètica ha estat considerat com un "cas especial" de l'europeïtzació, portant fins al moment per a la construcció d'un sector caracteritzat la política energètica europea. En aquest context, el present treball pretén explicar l'europeïtzació de les polítiques energètiques nacionals en l'elaboració de l'actuació de la UE per mitjà de la seva competència ambiental. Més explícitament, aquesta investigació tracta de la naturalesa de la reglamentació comunitària en matèria d'energia renovable com un mecanisme d'europeïtzació amb especial èmfasi en el seu impacte a Espanya. Aquest treball sosté que (1) la lluita europea contra el canvi climàtic s'ha obert un camí per a la participació de la UE en matèria de política energètica, i que (2) encara que limitat aquest procés està produint alguns canvis en les polítiques energètiques nacionals. Universitat

Towards reusability and tailorability in collaborative learning systems using IMS-LD and grid services

CSCL applications are complex distributed systems that posespecial requirements towards achieving success in educationalsettings. Flexible and efficient design of collaborative activitiesby educators is a key precondition in order to provide CSCL tailorable systems, capable of adapting to the needs of eachparticular learning environment. Furthermore, some parts ofthose CSCL systems should be reused as often as possible inorder to reduce development costs. In addition, it may be necessary to employ special hardware devices, computational resources that reside in other organizations, or even exceed thepossibilities of one specific organization. Therefore, theproposal of this paper is twofold: collecting collaborativelearning designs (scripting) provided by educators, based onwell-known best practices (collaborative learning flow patterns) in a standard way (IMS-LD) in order to guide the tailoring of CSCL systems by selecting and integrating reusable CSCL software units; and, implementing those units in the form of grid services offered by third party providers. More specifically, this paper outlines a grid-based CSCL system having these features and illustrates its potential scope and applicability by means of a sample collaborative learning scenario.

Are agent-based simulations robust? The wholesale electricity trading case

Agent-based computational economics is becoming widely used in practice. This paperexplores the consistency of some of its standard techniques. We focus in particular on prevailingwholesale electricity trading simulation methods. We include different supply and demandrepresentations and propose the Experience-Weighted Attractions method to include severalbehavioural algorithms. We compare the results across assumptions and to economic theorypredictions. The match is good under best-response and reinforcement learning but not underfictitious play. The simulations perform well under flat and upward-slopping supply bidding,and also for plausible demand elasticity assumptions. Learning is influenced by the number ofbids per plant and the initial conditions. The overall conclusion is that agent-based simulationassumptions are far from innocuous. We link their performance to underlying features, andidentify those that are better suited to model wholesale electricity markets.