Design and implementation of an agent-based social simulation model of energy related occupant behaviour in buildings

Merino Machuca, Eduardo (2017). Design and implementation of an agent-based social simulation model of energy related occupant behaviour in buildings. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S.I. Telecomunicación (UPM), Madrid.

Descripción

Título: Design and implementation of an agent-based social simulation model of energy related occupant behaviour in buildings
Autor/es:
  • Merino Machuca, Eduardo
Director/es:
  • Iglesias Fernández, Carlos Ángel
Tipo de Documento: Proyecto Fin de Carrera/Grado
Grado: Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación
Fecha: 2017
Materias:
Palabras Clave Informales: Energy consumption, Multi-agent systems, Occupancy simulation, Energy policies, Intelligent buildings
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Energy consumption in buildings accounts for 20% of the total energy consumed worldwide in 2016. Furthermore, this value grows around 2% per year and is higher in place such as the EU, 41%, and US, 40%. Thus, there is a growing interest in technologies that enable intelligent monitoring and control of buildings' equipment to improve energy efficiency. In addition, the number of indoor workers, whose productivity is greatly affected by their comfort, is increasing. This has brought the notion of Smart Buildings, that combine the energy saving with the occupants' comfort goals. Energy consumption of buildings is proved to be largely influenced by the presence and behaviors of occupants. Most systems of control and operation of buildings in energy systems consider general models based on general occupants' schedules, behaviors and preferences that leads to large predictive and optimization errors. A novel energy efficiency model based on multi-agent occupancy simulation and methodologies application is proposed in this work. The behavior of each occupant is modeled by states according to schedules and Markov decision process. The electrical equipment, lighting system and air conditioning systems are modeled as passive and reactive agents. The simulated environment's operations are modeled by three distinct policies or control strategies involving different levels of intelligent operation. The obtained comfort and energy results are evaluated and valued. As result, a 13.28% reduction in energy consumption and a 11.03% improvement in occupant comfort are obtained as comparison between the traditional and most advanced policy.

Más información

ID de Registro: 47517
Identificador DC: http://oa.upm.es/47517/
Identificador OAI: oai:oa.upm.es:47517
Depositado por: Biblioteca ETSI Telecomunicación
Depositado el: 28 Ago 2017 10:51
Ultima Modificación: 28 Ago 2017 10:51
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