dsgrid: Demand-Side Grid Model  

NREL's demand-side grid (dsgrid) model creates comprehensive electricity load data sets—including industrial sector data incorporating electricity and other fuel use—at high temporal, geographic, sectoral, and end-use resolution. The data sets enable detailed analyses of current patterns and future projections of end-use loads. dsgrid’s industrial energy modeling team is also advancing industrial energy classification methods in an effort funded by the U.S. Department of Energy’s former Advanced Manufacturing Office, now the Advanced Materials and Manufacturing Office and Industrial Efficiency and Decarbonization Office.


CEWAM: Circular Economy Wind Agent-based Model

The GitHub-based Circular Economy Wind Agent-based Model (CEWAM) is an open-source, agent-based model built with the Mesa python library. This tool enables users to study circular economy strategies by simulating wind energy stakeholders’ decisions.


MFI: Materials Flows through Industry

The Materials Flows through Industry tool tracks the material and energy demands from manufacturing supply chains. From evaluating energy and materials inputs in the initial manufacturing stages to those of the final production stages, this tool informs the manufacturing process from resource extraction to the factory gate and beyond.