Title: Multi-agent control system with intelligent optimisation for building energy and comfort management
Authors: Ee May Kan; Siew Leong Kan; Yvonne Soh; Dou Zi; Khaing Yadanar
Addresses: School of Engineering, Nanyang Polytechnic, 180 Ang Mo Kio Avenue 8, 569830, Singapore ' School of Engineering, Nanyang Polytechnic, 180 Ang Mo Kio Avenue 8, 569830, Singapore ' Singapore Green Building Council, 390 Havelock Road #06-05, King's Centre, 169662, Singapore ' School of Engineering, Nanyang Polytechnic, 180 Ang Mo Kio Avenue 8, 569830, Singapore ' School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
Abstract: Smart, sustainable and energy-efficient buildings have recently become a trend for intelligent and green building industry. One of the challenges for such a building is to minimise power consumption without compromising the occupant comfort. It is possible to sustain high comfort level with minimal energy consumption through intelligent multi-agent control and optimisation. Our work focuses on a new algorithmic aspect that makes buildings more intelligent, resource efficient and comfortable for occupants. A multi-agent control system with intelligent optimisation is proposed to optimise heating, ventilation and air-conditioning (HVAC) processes using computational intelligence approaches. The optimum solutions generated through the optimisation engine and task scheduling for each agent will be used to sustain a high level of occupant comfort with minimal power consumption, increase energy utilisation efficiency, and consequently reduce energy cost. Experimental results and comparisons with other evolutionary approaches demonstrate the overall performance and potential benefits of the new framework.
Keywords: multi-agent control; computational intelligence; multi-agent systems; MAS; agent-based systems; intelligent optimisation; building energy management; building comfort management; smart buildings; sustainable buildings; energy efficiency; green buildings; energy consumption; occupant comfort levels; heating ventilation air-conditioning; HVAC.
International Journal of Automation and Logistics, 2016 Vol.2 No.1/2, pp.60 - 77
Received: 16 Feb 2015
Accepted: 07 Jul 2015
Published online: 24 Feb 2016 *