Modelling and Assessment of Cloud Based Smart Dual Fuel Switching System (SDFSS) of Residential Hybrid HVAC System

Modelling project

References

https://iopscience.iop.org/article/10.1088/1757-899X/609/6/062001/meta

(preliminary data analysis)

Developer(s)
Gulsun Demirezen, Alan Fung

Description

The soon to be the completed study includes carbon tax pricing from 0 to 210 $/tonne with an increment of 10 $/tonne and is submitted as an academic journal to be published. The technoeconomic analysis of the study (Economical and Environmental Data Analysis of Hybrid HVAC System of Air Source Heat Pump and Natural Gas Furnace for Cold Climate – Canada) will be presented in South Korea in May, 2020 in the HP’20 Conference.

A part of the study is submitted for eSim conference as: 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.

Applications

Optimizing fuel switching for Canadian residential houses; planning simultaneous Reduction of Energy Cost and Greenhouse Gas Emission with Smart Grid Infrastructure

Key Inputs

location specific ambient temperature, GHG emissions from the consumption of the natural gas, hour of the day, electricity pricing, natural gas pricing, electricity consumption from the hvac equipment, data from the natural gas furnace

Key Outputs

reduction of cost from the heating, reduction of GHG Emissions

Registered developers

NameOrganization
Gulsun DemirezenRyerson University