Advanced Manufacturing Research Data and Tools
NREL develops data and tools to help manufacturers find the most energy-efficient and sustainable solutions for their products and processes.
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.
REopt: Renewable Energy Integration and Optimization
The free, publicly available REopt® web tool helps guide investment decisions in economic and resilient distributed energy technologies, including solar, energy storage, small wind, geothermal heat pumps, and diesel technologies. The REopt optimization tool also incorporates combined heat and power technologies and allows users to quantify the economic, environmental, and resilience benefits of hybrid combined heat and power.
URBANopt: Urban Renewable Building and Neighborhood Optimization
URBANopt™ is an advanced analytics platform for high-performance buildings and energy systems within one geographically cohesive area within a city.
Water DAMS: Water Data Analysis and Management System
Water DAMS, available through the National Alliance for Water Innovation, provides access to foundational water treatment technology data that enable researchers and decision-makers to identify and quantify opportunities for technology innovations to reduce the cost and energy intensity of desalination.
Water-TAP3: Water Techno-Economic Assessment Pipe-Parity Platform
Water-TAP3, available on GitHub, is an analytically robust platform to evaluate water technology cost, energy, environmental, and resiliency tradeoffs across different water sources, sectors, and scales. Water-TAP3 facilitates consistent techno-economic assessments of desalination treatment trains. It also uses open-source models and data indexed in the Water DAMS platform.