Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Multi-agent Stochastic Simulation of Occupants for Building Simulation

Jacob Chapman1 , Peer-Olaf Siebers1, Darren Robinson2
1School of Computer Science, The University of Nottingham, UK
2Sheffield School of Architecture (SSoA), University of Sheffield, UK


DOI: https://doi.org/10.26868/25222708.2017.051
Abstract: 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.
Pages: 179 - 188
Paper:
BS2017_051