dsgrid: Demand-Side Grid Model
NREL's demand-side grid (dsgrid) model harnesses decades of sector-specific energy modeling expertise to understand current and future U.S. electricity load for power systems analyses.
The primary purpose of dsgrid is to create comprehensive electricity load data sets at high temporal, geographic, sectoral, and end-use resolution. These data sets enable detailed analyses of current patterns and future projections of end-use loads.
Electricity Load Modeling
The dsgrid platform uses a bottom-up methodology that allows highly resolved analysis of "what if" scenarios of future electricity load. It leverages multiple detailed sectoral energy models to provide hourly time series of load by subsector, end use, and U.S. county. Each dsgrid data set typically covers a full year, which either represents a historical year or a future model-year scenario.
Although dsgrid currently emphasizes electricity load data, its component sector models for residential buildings, commercial buildings, and industry provide information on other fuel use, including natural gas. The data sets can be leveraged to support analysis of numerous demand-side technology-driven changes, such as energy efficiency, electrification, and operational flexibility (i.e., demand response). The electricity use data are time-synchronized with solar and wind data sets and are thus suitable for use in power systems analysis.
Component models include:
ResStock is an NREL model of the U.S. residential building stock that is currently focused on single-family detached homes but expanding to include multi-family buildings. ResStock has been used to determine state-level energy efficiency potential for the contiguous United States.
ComStock is an NREL model of the U.S. commercial building stock based on leveraging the U.S. Department of Energy Commercial Prototype Building Models, along with additional data sets that provide building stock downscaling and realistic building characteristic distributions.
NREL leverages ADOPT and EVI-Pro to describe plug-in electric vehicle adoption and charging profiles based on information about vehicle registrations and historical use. EVI-Pro differentiates between charging location (e.g., home, workplace, and public) and charging type (e.g., L1, L2, and DC fast chargers).
NREL is partnering with Oak Ridge National Laboratory and the Electric Power Research Institute to model industrial energy use with the Industrial Geospatial Analysis Tool for Energy Evaluation (IGATE-E).
For NREL's Electrification Futures Study, the dsgrid team developed a high-resolution data set describing contiguous United States electrical load in 2012. The modeling methods and results are described in the dsgrid model documentation. This effort demonstrated the feasibility of high-resolution, bottom-up load modeling for large geographic extents using component models that can capture the impact of large technological change. By modeling a historical year and accounting for distributed generation and system losses (in the distribution and transmission systems), the team was able to quantify model residuals at multiple combinations of geographic, temporal, and sectoral resolution, and thus identify key areas for future improvements.
NREL is developing a city-scale version of the dsgrid model for the Los Angeles 100% Renewable Energy Study. In this study, NREL is conducting a series of integrated modeling activities for the Los Angeles Department of Water and Power to understand the options and tradeoffs among different approaches to realizing the Los Angeles City Council's goal of meeting 100% of electricity demand with renewable resources.
The Demand-Side Grid (dsgrid) Model Documentation, NREL Technical Report (2018)
Demand Response Resource Quantification with Detailed Building Energy Models, Presentation (2016)