Paper Conference

Proceedings of eSim 2020: 11th Conference of IBPSA-Canada

     

Modelling and Assessment of Cloud Based Smart Dual Fuel Switching System (SDFSS) of Residential Hybrid HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission Under Smart Grid Infrastructure

Gulsun Demirezen, Dr. Alan S. Fung
Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, Canada

Abstract: A cloud-based Smart Dual Fuel Switching System (SDFSS) of a residential hybrid system of electric air source heat pump (ASHP) and natural gas furnace for simultaneous reduction of energy cost and greenhouse gas emission was developed. Detailed modelling, simulation, and optimization of a residential house in Ontario, Canada, was conducted to examine such smart cloud-based supervisory control potentials under different conditions such as timeof-use electricity price and federal carbon tax schemes. Maximizing energy cost saving and reducing greenhouse gas (GHG) emissions while providing a flexible and ubiquitous mechanism for utilities to control their infrastructure for load management under the smart grid framework was the primary focus of this work. This paper performed extensive simulation work supported by data analytics to estimate how GHG reduction targets 30% and 80% for 2030 and 2050. Subsequently, the study proposed a basis of modelling and policy framework to offer future low-carbon alternatives.
Paper:
esim2020_1175