Multi-agent stochastic simulation of occupants for building simulation

Chapman, Jacob, Siebers, Peer-Olaf and Robinson, Darren (2017) Multi-agent stochastic simulation of occupants for building simulation. In: Building Simulation 2017, 15th IBPSA Conference, 7-9 August 2017, San Francisco, CA, USA.

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This paper introduces a new general platform for the simulation of occupants' presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation platform) the platform takes a selection of well validated stochastic models to generate a synthetic population of agents, predicts their presence and, in the case of residences also their activities and inferred locations, as well as their use of windows, lights and blinds. A social interaction framework is used to emulate negotiations amongst the members of diverse populations. Furthermore, machine learning techniques allow the agents to learn dynamic behaviours that maximise energy and/ or comfort rewards. This is complemented by a belief-desire-intent framework for the representation of less sophisticated behaviours for which data is scarce. Using the Functional Mockup Interface (FMI) co-simulation standard No-MASS is coupled with EnergyPlus: EnergyPlus parses environmental parameters to No-MASS which in turns parses back the energetic consequences of agents behaviours. Simulations demonstrating the range of results that No-MASS can produce are undertaken and presented.

Item Type: Conference or Workshop Item (Paper)
Keywords: Multi-Agent Simulation; Occupant Behaviour Modelling; Built Environment; No-MASS
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Architecture and Built Environment
University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Siebers, Peer-olaf
Date Deposited: 05 Jan 2018 09:31
Last Modified: 04 May 2020 18:59

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