Intelligent Multi-Agent System for Building Heat Distribution Control with Combined Gas Boilers and Ground Source Heat Pump

Abstract

Intelligent energy system refers to the use of intelligent control strategies with the energy system, which
can help minimise energy waste and loss, optimise load control, increase and improve energy efficiency
and/or maximise the benefits of renewable energy. Renewable energy and intelligent controls are interlinked
and correlated with each other. Without intelligent controls, the full benefits of renewable energy
technologies may not be achievable, specifically the ground source heat pump (GSHP) technologies. This
was observed, especially by the University of Central Lancashire (UCLan) that had incorporated a GSHP
to one of its building. The GSHP is under performing due to the inefficient controls implemented with
the GSHP. This paper proposes an intelligent multi-agent building management system (MAS BMS) that
aims to tackle this issue. Intelligence is provided by an ARTMAP, a type of artificial neural network that
provides incremental learning inspired by how human process memory. Simulation results show the
proposed intelligent MAS BMS is able to maximise the use of the GSHP effectively by profiling, predicting
and coordinating its usage with other energy resources. The proposed method has performed better than
the existing control strategies for the GSHP.