GHG Projections for smart homes

Modelling project

References

http://dx.doi.org/10.1016/j.jclepro.2016.12.143, http://dx.doi.org/10.1109/TSUSC.2018.2886164, https://doi.org/10.1016/j.rser.2019.05.038, https://doi.org/10.1016/j.jclepro.2019.118251

Developer(s)
Thomas Dandres, Ana Carolina Riekstin, Antoine Langevin, Julien Walzberg, Mohamed Cheriet

Description

This model forecasts in real-time, usually using a hourly granularity. It can encompass an entire power grid system.

Users

electricity consumers, developers of electricity policies (energy efficiency, side demand management programs, etc.)

Key Inputs

real-time and historical power generation, electricity import and electricity export data from the grid

Key Outputs

advice to reduce emissions from power consumption (by scheduling electricity consumption during the next upcoming hours), real-time and historical emission factors (to improve the calculation of electricity emissions)

Registered developers

NameOrganization
Thomas DandresHydro-Québec / Polytechnique Montreal / École de technologie supérieure