Journal
ENERGIES
Volume 14, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/en14010138
Keywords
occupant behavior; building energy management system; passive cooling; particle swarm optimization
Categories
Funding
- project Smart Cities and Communities and Social Innovation Pilot 2014-2016-ASMARA
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This paper proposes a co-simulation architecture for modeling occupant behavior in buildings using a stochastic-AB approach to implement an intelligent BEMS. Optimized control logics are designed for smart passive cooling while considering the effects of occupant actions on indoor thermal comfort. Integration of automation systems and passive techniques enhances passive cooling potential in buildings.
The common approach to model occupants behaviors in buildings is deterministic and consists of assumptions based on predefined fixed schedules or rules. In contrast with the deterministic models, stochastic and agent based (AB) models are the most powerful and suitable methods for modeling complex systems as the human behavior. In this paper, a co-simulation architecture is proposed with the aim of modeling the occupant behavior in buildings by a stochastic-AB approach and implementing an intelligent Building Energy Management System (BEMS). In particular, optimized control logics are designed for smart passive cooling by controlling natural ventilation and solar shading systems to guarantee the thermal comfort conditions and maintain energy performance. Moreover, the effects of occupant actions on indoor thermal comfort are also taken into account. This study shows how the integration of automation systems and passive techniques increases the potentialities of passive cooling in buildings, integrating or replacing the conventional efficiency strategies.
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