Using electricity tariffs and thermal comfort management to promote residential energy decarbonisation - output dataset
This repository contains the results dataset from the work presented in [this] paper.
Additional information on the mathematical model formulation, the energy technologies considered, and the case studies can be found here.
Repository Structure
The repository is divided into folders with the following naming conventions:
Enabled Technologies
- All: all energy technologies enabled
- NoDER: all energy technologies enabled except for PV and BES
- El: all energy technologies enabled and a fully-electrified building
Case
- D: both technology design and operations are optimised
- O: only operations is optimised
Thermal Comfort Management
- TS: Tight setpoint without pre-heating/cooling
- TP: Tight setpoint with pre-heating/cooling
- LP: Loose setpoint with pre-heating/cooling
Note: `Par` refers to runs with a sweep of the emissions constraint to generate Pareto fronts.
File Description
Each folder contains the following `.csv` results files, each with a subset of relevant information tied to its name:
- `out_building`
- `out_cost`
- `out_flows`
- `out_storage`
- `out_supply`
Run_ID Format
The column `Run_ID` contains a full description of the runs performed, encoded as follows:
Case
- `DesOp`: design and operations optimisation
- `Op`: operations optimisation only
Electricity Tariff
- `flat`: flat
- `TOU`: time-of-use
- `dem`: demand-aware
Thermal Comfort Management: see above
Enabled Technologies: see above
Building Vintage, Type, and Site
- `b1`: old house Melbourne
- `b2`: new house Melbourne
- `b3`: old apartment Melbourne
- `b4`: new apartment Melbourne
- `b5`: old house Brisbane
- `b6`: new house Brisbane
- `b7`: old apartment Brisbane
- `b8`: new apartment Brisbane
Note: Technology naming follows the convention reported here.
Contact
Any additional information required to reanalyse the data reported in this paper or reproduce the results is available from the corresponding author upon request.
