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

<p>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 (&ldquo;OperationScenario_Component_Building&rdquo;). Each building is simulated in twice. In the &quot;reference&quot; mode the energy demand is simply met and indoor comfort is kept constant. In the &quot;optimization&quot; 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 &ldquo;Variable_Price_Paper&rdquo; contains the results for the building stock without any storage implemented. In &ldquo;Variable_Price_Paper_TS&rdquo; 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 &deg;C respectively.</p> <p>Following columns were used for generating the results for the Paper:</p> <p>In the hourly results relevant parameters used in the publication were:</p> <ul> <li>ID_Scenario: each building simulated under a different electricity price has a unique scenario number. &ldquo;OperationScenario&rdquo; gives an overview of the scenarios.</li> <li>Grid: describes the electricity demand from the grid by the household.</li> </ul> <p>In the yearly results relevant parameters used in the publication were:</p> <ul> <li>ID_Scenario</li> <li>TotalCost: represent the yearly operation cost</li> <li>Grid: electricity demand summed up for the whole year</li> </ul> <p>5 different electricity prices are used for scenario generation. The first price is constant, &ldquo;electricity_2&rdquo; is the real time price from 2021 plus a hypothetical grid fee of 20cents/kWh. &ldquo;electricity_3, electricity_4, electricity_5&rdquo; are prices generated for 2030 for Austria with the Balmorel model. Their profiles can be found under &ldquo;OperationScenario_EnergyPrice&rdquo;.</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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