Building Energy Management for Passive Cooling Based on Stochastic Occupants Behavior Evaluation
Michele Roccotelli,
Alessandro Rinaldi,
Maria Pia Fanti and
Francesco Iannone
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Michele Roccotelli: Department of Electric and Information Engineering, Faculty of Engineering, Polytechnic University of Bari, 70126 Bari, Italy
Alessandro Rinaldi: Department of Electric and Information Engineering, Faculty of Engineering, Polytechnic University of Bari, 70126 Bari, Italy
Maria Pia Fanti: Department of Electric and Information Engineering, Faculty of Engineering, Polytechnic University of Bari, 70126 Bari, Italy
Francesco Iannone: Department of Civil, Environmental, Land, Building Engineering and Chemistry, Faculty of Engineering, Polytechnic University of Bari, 70126 Bari, Italy
Energies, 2020, vol. 14, issue 1, 1-24
Abstract:
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.
Keywords: occupant behavior; building energy management system; passive cooling; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2020:i:1:p:138-:d:469905
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