Signature Projects are intended to bring focus to a selection of U.S. Department of Energy's Water Power Technologies Office (WPTO) projects. By designating a Signature Project, the project reports, datasets, and associated papers can be easily discoverable. By bringing together all aspects of a project, whether a completed legacy project or an ongoing investigation, the MRE community can be informed of what investigations have been undertaken, which have succeeded, what tools are available, and where gaps in information persist.

MHKiT

Project Purpose

The ability to collect, ingest, condition, reduce, quality control, process, visualize, and store data is critical at all stages of marine energy research and technology/project development. MHKiT empowers the marine energy industry by providing a toolbox of marine energy specific functionality that enables rapid data processing using opensource, verified, and industry standard data handling, allowing for the community to collaboratively develop and expand MHKiT based on industry needs.

Project Description 

MHKiT is an open-source marine energy software, developed in Python and MATLAB, that includes modules for ingesting, quality controlling, processing, visualizing, and managing data. MHKiT-Python and MHKiT-MATLAB provide robust and verified functions in both Python and MATLAB that are needed by the marine energy community to standardize data processing. Calculations and visualizations adhere to International Electrotechnical Commission (IEC) technical specifications and other guidelines.

MHKiT is developed as a collaboration between the National Renewable Energy Laboratory (NREL), Sandia National Laboratories (Sandia), and Pacific Northwest National Laboratory (PNNL). Development of MHKiT is funded by the U.S. Department of Energy’s Water Power Technologies Office.

Project Methods

The MHKiT team leverages previous efforts by the National Labs and guidance from the IEC standards to develop robust and standardized software for the marine energy community. By being an open source project, hosted on GitHub, the marine energy community can take an active role in defining future development in MHKiT but submitting ideas for functionality and code for review to be included in MHKiT. New functionality is continuously added to MHKiT as the industry evolves, and new standardized software needs emerge. Marine energy researchers are strongly encouraged to add or request new data processing functionality.

Key Findings/Applications

MHKiT provides the following benefits to the marine energy community:

  • Eliminates the redundant data processing software across the marine energy field
  • Offers a standardized, referenceable, and readable data processing suite
  • Enables rapid data processing
  • Creates a data flow of quality control (QC), analysis, and visualization
  • Offers a common development platform across the marine energy community where issues are discussed, and features are expanded
  • Assists developers in device certification for insurance, regulator bodies, and investors
This table lists documents associated with the MHKiT project, including reports written by the project team and/or papers that have used the project outputs or are closely associated with them. To find additional project outputs, including related papers, datasets, and codes, explore the MHKiT page on PRIMRE.

Associated Marine Energy Engineering Documents

Total results: 5
Title Author Date Type of Content Technology Collection Method Application
The Marine and Hydrokinetic ToolKit for Data Quality Control and Analysis Olson, S., Fao, R., Coe, R. Conference Paper
MHKiT-MATLAB: Introduction and Demonstration Fao, R., Olson, S. Presentation Current, Wave Field Data, Lab Data, Modeling
MHKiT-Python: Introduction and Demonstration Fao, R., Olson, S. Presentation Current, Wave Field Data, Lab Data, Modeling
Marine Hydrokinetic Toolkit - MHKiT Fao, R., Olson, S., Sivaraman, C. Presentation Current, Wave Field Data, Lab Data, Modeling
Marine HydroKinetic Tools - MHKiT Driscoll, F., Sivaraman, C., Klise, K. Conference Paper Current, Wave Lab Data, Modeling
Displaying 1 - 5 of 5 results