Coordinatore | TECHNICAL UNIVERSITY OF CRETE
Organization address
address: Technical University of Crete Department of Production Engin contact info |
Nazionalità Coordinatore | Greece [EL] |
Totale costo | 3˙337˙482 € |
EC contributo | 2˙393˙637 € |
Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
Code Call | FP7-ICT-2009-4 |
Funding Scheme | CP |
Anno di inizio | 2010 |
Periodo (anno-mese-giorno) | 2010-01-01 - 2012-12-31 |
# | ||||
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1 |
TECHNICAL UNIVERSITY OF CRETE
Organization address
address: Technical University of Crete Department of Production Engin contact info |
EL (Chania) | coordinator | 0.00 |
2 |
ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS - ARMINES
Organization address
address: Boulevard Saint-Michel contact info |
FR (PARIS) | participant | 0.00 |
3 |
CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENT
Organization address
address: Rue Jaquet-Droz contact info |
CH (NEUCHATEL) | participant | 0.00 |
4 |
ECOLE NATIONALE SUPERIEURE DES MINES DE PARIS
Organization address
address: BOULEVARD SAINT MICHEL contact info |
FR (PARIS) | participant | 0.00 |
5 |
FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Hansastrasse contact info |
DE (MUENCHEN) | participant | 0.00 |
6 |
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Organization address
address: Templergraben contact info |
DE (AACHEN) | participant | 0.00 |
7 |
Saia-Burgess Controls AG
Organization address
address: Bahnhofstrasse contact info |
CH (Murten) | participant | 0.00 |
8 |
TECHNISCHE UNIVERSITAET GRAZ
Organization address
address: Rechbauerstrasse contact info |
AT (GRAZ) | participant | 0.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
In the design and operation of positive-energy buildings a pragmatic target is maximization of the actual net energy produced (NEP) by intelligently shaping demand to perform generation-consumption matching. To achieve this, informed decisions in (almost) real-time are required to operate building subsystems and to account for unpredictable user-behavior, occupancy scheduling and occupants' activity and changing weather conditions. These decisions have direct consequences to occupant thermal comfort, energy efficiency and, ultimately, to the NEP. The complex interplay between the many parameters precludes empiricism or rule-based decisions and necessitates the development of generic decision tools.nAs maximization of the NEP for Positive-Energy Buildings is attained thru Better ControL dEcisions (PEBBLE), a control and optimization ICT methodology that combines model-based predictive control and cognitive-based adaptive optimization is proposed. There are three essential ingredients to the PEBBLE system: first, thermal simulation models, that are accurate representations of the building and its subsystems; second, sensors, actuators, and user interfaces to facilitate communication between the physical and simulation layers; and third, generic control and optimization tools that use the sensor inputs and the thermal models to take intelligent decisions. Building occupants have a dual sensor-actuator role in the PEBBLE framework: through user-interfaces humans act as sensors communicating their thermal comfort preferences to the PEBBLE system, and in return the PEBBLE system returns information with the goal of enhancing energy-awareness of the users. The generality of the proposed methodology affords a universality that transcends regional, behavioral, environmental or other variations. For this reason, the PEBBLE system will be demonstrated and evaluated in three buildings possessing a variety of design and performance characteristics, located at different places across Europe.nPEBBLE goes beyond producing a positive NEP which could be the result of installing a sufficiently-large renewable-energy generation capacity. The added-value of PEBBLE is on utilizing harmoniously, and most effectively all installed systems in a building, taking into account human factors and adapting the decisions in (almost) real-time as and when uncertainties occur.