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 StructureThe repository is divided into folders with the following naming conventions:Enabled TechnologiesAll: all energy technologies enabled NoDER: all energy technologies enabled except for PV and BES El: all energy technologies enabled and a fully-electrified building CaseD: both technology design and operations are optimised O: only operations is optimised Thermal Comfort ManagementTS: 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 DescriptionEach 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 FormatThe column `Run_ID` contains a full description of the runs performed, encoded as follows:Case `DesOp`: design and operations optimisation `Op`: operations optimisation onlyElectricity Tariff `flat`: flat `TOU`: time-of-use `dem`: demand-awareThermal Comfort Management: see aboveEnabled Technologies: see aboveBuilding 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.ContactAny additional information required to reanalyse the data reported in this paper or reproduce the results is available from the corresponding author upon request.