Results from the FLEX Model for the paper "Impact of variable electricity price on heat pump operated buildings"

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Dataset information

Country of origin
Updated
2022.11.07 00:00
Created
2022.01.01
Available languages
English
Keywords
Quality scoring

Dataset description

The sqlite database contains the results of the Flex model for the Austrian single family house building stock ( insert GITHUB LINK). The building stock is represented by 36 different representative building archetypes (“OperationScenario_Component_Building”). Each building is simulated in twice. In the "reference" mode the energy demand is simply met and indoor comfort is kept constant. In the "optimization" mode the indoor temperature can be varied and thermal storages are charged and discharged minimizing the households energy cost based on a variable electricity price. The sqlite database “Variable_Price_Paper” contains the results for the building stock without any storage implemented. In “Variable_Price_Paper_TS” all buildings have a 750l hot water buffer storage and a 400l DHW storage implemented. The sqlite files SFH_23/25/27 contain the results for a single building where the maximum inside room temperature was changed to 23, 25 and 27 °C respectively. Following columns were used for generating the results for the Paper: In the hourly results relevant parameters used in the publication were: ID_Scenario: each building simulated under a different electricity price has a unique scenario number. “OperationScenario” gives an overview of the scenarios. Grid: describes the electricity demand from the grid by the household. In the yearly results relevant parameters used in the publication were: ID_Scenario TotalCost: represent the yearly operation cost Grid: electricity demand summed up for the whole year 5 different electricity prices are used for scenario generation. The first price is constant, “electricity_2” is the real time price from 2021 plus a hypothetical grid fee of 20cents/kWh. “electricity_3, electricity_4, electricity_5” are prices generated for 2030 for Austria with the Balmorel model. Their profiles can be found under “OperationScenario_EnergyPrice”.  
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