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

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”.

本SQLite数据库包含针对奥地利独栋住宅建筑保有量的Flex模型运行结果（GitHub链接：此处插入）。该建筑保有量由36种不同的典型建筑原型（“OperationScenario_Component_Building”）表征，每种原型均进行两次仿真模拟。在「参考模式」下，仅保障能源需求供给，且室内舒适度维持恒定；在「优化模式」下，室内温度可调整，蓄热装置将根据分时电价进行充放电操作，以最小化住户的能源成本。

名为“Variable_Price_Paper”的SQLite数据库包含未搭载任何储能装置的建筑保有量仿真结果。在“Variable_Price_Paper_TS”数据库中，所有建筑均搭载750升热水缓冲储能装置与400升生活热水（Domestic Hot Water，简称DHW）储能装置。SQLite数据库文件SFH_23/25/27分别包含将室内最高温度设置为23℃、25℃与27℃的单栋建筑仿真结果。

本论文所用仿真结果包含以下字段：

在每小时级别的仿真结果中，本论文采用的相关参数如下：
ID_Scenario：针对不同电价开展仿真的建筑均对应唯一场景编号。“OperationScenario”可提供所有场景的总览信息。
Grid：表征住户从电网获取的电力需求量。

在年度级别的仿真结果中，本论文采用的相关参数如下：
ID_Scenario
TotalCost：表征年度运行总成本。
Grid：全年总电力需求量。

本次场景生成共采用5种不同电价：第一种为恒定电价；electricity_2为2021年实时电价叠加20欧分/千瓦时的假想电网费用；electricity_3、electricity_4与electricity_5为采用Balmorel模型生成的奥地利2030年电价曲线。各类电价的曲线可在“OperationScenario_EnergyPrice”中查阅。