ABSTRACT:

Data cover activities at 9,961 individual power plants (>1MW, grid connected) across the United States, including monthly electricity generation, greenhouse gas emissions, water withdrawal, and water consumption between 2003 and 2020, as well as projections out to 2050. Data were retrieved from publicly available sources and processed for the purpose of providing plant-level information that can be aggregated according to various user needs. We retrieved electricity generation, greenhouse emission, water consumption, and water withdrawal data for each plant from heterogeneous data sources, including web services and files. We filled remaining data gaps using a coefficient-based approach, and we suggest that users refer to the Related Resources below for more information on methods used to produce these datasets. The data may be useful for researchers to view electricity generation in the context of emissions and water usage at the granularity of power plants, such as for data analysis and machine learning. These data also can be aggregated to different spatial scales, such as watershed, county, state, and national level, according to different analytical needs. In addition, decision makers can use these data for future energy and resource allocations with the awareness of emission and water constraints.