Residential Precooling on a high-solar grid: Impacts across home designs and California climate zones: Data Repository

Data supporting the research for the article "Residential Precooling on a high-solar grid: Impacts across home designs and California climate zones." This study focused on analyzing building precooling in the residential sector in California. We analyze four single-family home designs in 16 climate zones to determine precooling's impact on peak electricity loads, CO2 emissions, and residential electricity costs. use EnergyPlus to simulate 480 distinct precooling schedules as well as a constant setpoint schedule as a reference point over a three month period. We find that for most building types and locations, there exists a precooling schedule that simultaneously reduces all three target variables.

This data repository includes three main datasets. The first dataset includes information on the emissions associated with electricity demand in the CAISO region. This data was generated by tracking emissions and generation from powerplants within the CAISO region, as well as accounting for the trade of electricity between balancing authorities (and the associated traded emissions). The second dataset contains information about the buildings simulated in this study. These buildings came from NREL's ResStock project and are available for download free online. Their properties are summarized in the table included here. The third dataset is a summary of the results of each precooling simulation. These are aggregate results over the three month simulation period, with a separate table for climate zone and building combination.

Please reach out to [e-mail] or [e-mail] for questions about this dataset.

本数据集支撑发表于论文《高太阳能电网下的住宅预冷：住宅设计与加州气候区的影响》（Residential Precooling on a high-solar grid: Impacts across home designs and California climate zones）的相关研究。本研究聚焦加州住宅领域的建筑预冷分析，针对16个气候区中的4种独栋住宅设计方案展开分析，以探究预冷对峰值电力负荷、二氧化碳排放量及住宅用电成本的影响。本研究采用EnergyPlus模拟了480种不同的预冷调度方案，并以恒定设定点调度方案作为参考基准，模拟周期为三个月。研究发现，对于绝大多数建筑类型与区位而言，存在可同时降低上述三类目标变量的预冷调度方案。

本数据集仓库包含三大核心数据集。第一类数据集涵盖加州独立系统运营商（CAISO, California Independent System Operator）管控区域内与电力需求相关的排放数据。该数据集通过追踪CAISO管控区域内发电厂的排放量与发电量，并计入各平衡主体间的电力交易及相关联的交易排放生成。第二类数据集包含本研究中模拟的建筑相关信息，这些建筑源自美国国家可再生能源实验室（NREL, National Renewable Energy Laboratory）的ResStock项目，可在线免费下载获取，其属性已在本文附带的表格中汇总。第三类数据集为所有预冷模拟的结果汇总：包含为期三个月模拟周期的聚合结果，并针对每个气候区与建筑的组合单独制表。

若对本数据集存在疑问，请联系[e-mail]或[e-mail]。