Data Access and Analysis Tools

NREL, in cooperation with the U.S. Department of Energy's (DOE's) national lab team, develops online resources and data tools that leverage ongoing projects.

These projects span DOE's portfolio of activities from searchable knowledge bases to focused data analysis tools that adhere to international standards.

PRIMRE: Portal and Repository for Information on Marine Renewable Energy

The Portal and Repository for Information on Marine Renewable Energy (PRIMRE), hosted on DOE's OpenEI website, provides broad access to information on engineering and technologies, resource characterization, device performance, and environmental effects of Marine Renewable Energy (MRE) projects.

PRIMRE facilitates the commercial development of the MRE industry by increasing the accessibility and discoverability of this information, integrating the many databases and information portals that currently exist in the MRE space, and developing standards and guidelines to better align major players in the industry for potential collaboration and information sharing.

PRIMRE provides consistent, easy access to information to help reduce duplication of effort and to enable the MRE community to build upon the successes of others to innovate and advance the adoption of MRE technologies.

Marine Energy Software

Marine Energy Software is a knowledge hub on PRIMRE with a searchable online software discovery platform that allows users to perform faceted searches to identify software tools, codes, and other software products that they can use for MRE-related tasks. In addition to providing information on existing software tools, PRIMRE also hosts the Code Hub and Code Catalog.

Marine Energy Atlas

Hosted on PRIMRE, the Marine Energy Atlas is an interactive mapping tool developed to explore potential for marine and hydrokinetic resources. The atlas depicts and maps U.S. wave energy, tidal, ocean, ocean thermal, and riverine current resources in the United States. Users can explore several variables in each of these mapped resource types using data layers.

MHKDR: Marine and Hydrokinetic Data Repository

Found on DOE's OpenEI site, the Marine and Hydrokinetic Data Repository (MHKDR) receives and makes available all MHK-related data generated from projects funded by DOE's Water Power Technologies Office (WPTO). It is home to over 1,800 resources and more than 520 GB of data, including data from DOE-funded programs such as the Wave Energy Prize and data produced by DOE-funded research. Data on the MHKDR are downloaded more than 700 times per month by a variety of institutions, including academia, industry, national labs, and government agencies.

The MHKDR protects DOE's investment in research and development by preserving, providing access to, and disseminating data and findings from WPTO-funded projects to the greater MHK scientific community, industry, academia, and others so they may leverage the knowledge and experience gained, build upon prior successes, avoid duplication of effort, and accelerate the rate of innovation in the MHK sector.

It is an extension of the WPTO research and development process, collecting, managing, and preserving the results of WPTO-funded projects and making them available to the greater MHK community to support future WPTO efforts and to accelerate the development and adoption of MHK technologies.


MHKiT-Software is a set of toolboxes on GitHub with functions that are intended to supplement the existing Python and MATLAB® software languages and other public code repositories (e.g., WAFO, Pecos). MHKiT-Software provides data processing and visualization toolboxes that are needed by the MRE community but are not available—or existing code does not meet verification requirements. The software is in its third release, leveraging code developed at the national labs, and includes toolboxes that are based on International Electrotechnical Commission technical specifications and other guidelines for power performance, power quality, mechanical loads, resource assessments, and data quality control.


Jon Weers

Lead Technologist and Data Systems Architect