Cognitive Simulation Driven Domestic Heating Energy Management

Energy management for domestic heating is a non trivial research challenge, especially given the dynamics associated to indoor and outdoor air temperatures, required comfortable temperature set points over time, parameters of the heating source and system, and energy loss rate and capacity of a house. In addition to all these factors, human influence or interaction is also a key aspect in this complex system. It is difficult and very costly to conduct experiments of this nature to scrutinize the dynamics and optimal efficiency of the system under all circumstances and constraints. This paper focuses on a domestic heating energy management system using an air to water heat pump and uses a pre-developed mathematical model for its performance. This mathematical model is integrated within a computational dynamic cognitive model which was developed based on neurocognitive evidence. An approach like this can be used as an experimental workbench for complex scenarios.