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PEBBLE

Financiado

Cerrado

POSITIVE ENERGY BUILDINGS THRU BETTER CONTROL DECISIONS

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, infor... ver más

31/12/2012

TECHNICAL UNIVERSI...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

POLYTECHNEIO KRITIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2012-12-31 No tenemos la información de la convocatoria

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7 Participantes

TECHNICAL UNIVERSITY OF CRET...

0.00€ | Lider

Fraunhofer

N.D. | Participante

MINISTERE DE L'ENSEIGNEMENT...

N.D. | Participante

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Líder del proyecto

POLYTECHNEIO KRITIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.As 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.PEBBLE 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.

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