MHK Content Models

The U.S. Department of Energy (DOE) has created the Marine and Hydrokinetic Data Repository (MHKDR) to help accelerate the advancement of marine renewable energy technologies. The MHKDR is designed to efficiently collect, store and appropriately disseminate the wealth of valuable information generated from DOE funded and other MHK projects. Benefits will span from focused technology development to broad industry evaluation. Performance trending, resource maps, technology gap identification, lessons learned, and cost analysis are, for example, a few areas that will directly benefit. Decision makers, investors and the MHK community will also have access to information to support decision-making.

The MHKDR strives to:
  1. enable easy data upload process to help with data reporting requirements
  2. provide a curation process to allow internal data experts to help evaluate the quality of the data
  3. keep secure data secure (based on moratorium dates)
  4. securely share data with DOE and national laboratories
  5. share unrestricted data openly

Data to be collected may include field and laboratory measurements, costs, project reports, and video. Content models are tools used to collect a subset of common data in a structured form that allows quick data aggregation between projects. These spreadsheets organize the data in a consistent manner, using standardized units, thereby allowing straightforward assessment and use. The content models are organized by task — i.e., field testing, component development, LCOE, etc.

This effort's success requires the community's engagement in maintaining relevance and a user audience to realize the value of the databases and tools. Feedback for improvement is welcome. Please . The MHKDR is powered by OpenEI.org, an energy information portal sponsored by the DOE and developed by NREL in support of the Open Government Initiative to make energy data transparent, participatory, and collaborative.

CEC Field Testing

version 2.1

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The Current Energy Converter (CEC: tidal, river and open-ocean) Field Test Content Model provides data submitters with a straight forward and consistent means of uploading some processed field test data and associated metadata to the MHK data repository. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to assess the state of the MHK industry and technology readiness, perform resource assessment, and support DOE national laboratory research. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry. The metadata are static information describing the project, the CEC technology under test, and the test setup. These metadata provide critical contextual data that are needed to understand the test and interpret the test data. Field test data are time series of the average operating environmental conditions and device performance averaged over a measurement duration of at least 20 minutes. These data should be provided continuously over the test duration, even while the device is not operating. Where possible, data should adhere to IEC and NDBC definitions as outlined in the spreadsheet. Please strictly adhere to the units to ensure consistency between all submissions.
CEC Laboratory Testing

version 2.1

download
The Current Energy Converter (CEC: tidal, river and open-ocean) Laboratory Test Content Model provides data submitters with a straight forward and consistent means of uploading some processed laboratory test data and associated metadata to the MHK data repository. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to assess the state of the MHK industry and technology readiness, perform resource assessment, and support DOE national laboratory research. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry. The metadata are static information describing the project, the CEC technology under test, and the test setup. These metadata provide critical contextual data that are needed to understand the test and interpret the test data. For runs with constant flow characteristics, a single entry should be provided for each test and include the average flow conditions and device performance that are calculated over valid times within each run, after steady state has been reached. For longer tests or test with changing conditions, separate entries should be provided for each wave condition/sea state. Where possible, data should adhere to IEC and NDBC definitions outlined in the spreadsheet. Please strictly adhere to the units to ensure consistency between all submissions.
CEC Numerical Modeling

version 1.0

download
The Current Energy Converter (CEC: tidal, river and open-ocean) Numerical Modeling Content Model provides data submitters with a straight forward and consistent means of uploading some processed numerical model and simulation data and associated metadata to the MHK data repository. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to assess the state of the MHK industry and technology readiness, perform resource assessment, and support DOE national laboratory research. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry. The metadata are static information describing the project, the CEC technology under test, and the test setup. These metadata provide critical contextual data that are needed to understand the test and interpret the test data. For similar group of simulation runs with similar purpose, a single entry should be provided for each group.
Component

version 2.1

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The Component Content Model provides data submitters with an easy and consistent means of uploading data and associated meta data about a component that is currently under development. The data fields include generic information about the component, technology classifications, current costs and performance, proposed target goals, and the environment that the component is operated in. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used by DOE in general assessments of MHK component readiness, performance, costs, and proposed plans. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry.
LCOE

version 2.1

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The LCOE Content Model provides data submitters with an easy and consistent means of uploading data that can be used to calculate the levelized cost of energy for MHK devices. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to evaluate MHK products and determine costs and can help data users compare the combination of capital costs and operations and maintenance over time. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry.
System Overview

version 2.1

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The System Overview Content Model provides data submitters with an easy and consistent means of uploading data related to the overall MHK system. The data fields include target resource and characteristics of the full-scale system, the technical overview about the specific system, target design performance and costs, and key events and milestones. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used by DOE in general assessments of MHK system readiness, performance, costs, and proposed plans. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry.
WEC Field Testing

version 2.1

download
The Wave Energy Converter (WEC) Field Test Content Model provides data submitters with a straight forward and consistent means of uploading some processed field test data and associated metadata to the MHK data repository. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to assess the state of the MHK industry and technology readiness, perform resource assessment, and support DOE national laboratory research. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry. The metadata are static information describing the project, the WEC technology under test, and the test setup. These metadata provide critical contextual data that are needed to understand the test and interpret the test data. Field test data are time series of the average operating environmental conditions and device performance averaged over a measurement duration of at least 20 minutes. These data should be provided continuously over the test duration, even while the device is not operating. Where possible, data should adhere to IEC and NDBC definitions as outlined in the spreadsheet. Please strictly adhere to the units to ensure consistency between all submissions.
WEC Laboratory Testing

version 2.1

download
The Wave Energy Converter (WEC) Laboratory Test Content Model provides data submitters with a straight forward and consistent means of uploading some processed laboratory test data and associated metadata to the MHK data repository. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to assess the state of the MHK industry and technology readiness, perform resource assessment, and support DOE national laboratory research. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry. The metadata are static information describing the project, the WEC technology under test, and the test setup. These metadata provide critical contextual data that are needed to understand the test and interpret the test data. For runs with constant wave characteristics, a single entry should be provided for each test and include the average wave conditions and device performance that are calculated over valid times within each run, after steady state has been reached. For longer tests or test with changing conditions, separate entries should be provided for each wave condition/sea state. Where possible, data are defined per IEC and NDBC as outlined in the spreadsheet. Please strictly adhere to the units to ensure consistency between all submissions.
WEC Numerical Modeling

version 1.0

download
The Wave Energy Converter (WEC) Numerical Modeling Content Model provides data submitters with a straight forward and consistent means of uploading some processed numerical model and simulation data and associated metadata to the MHK data repository. These data are important to DOE and will be used to develop data products that provide quantitative information to guide and support programmatic decisions. Data will also be used to assess the state of the MHK industry and technology readiness, perform resource assessment, and support DOE national laboratory research. The ultimate goal is to use these data to perform research and tailor programs to best benefit the industry. The metadata are static information describing the project, the CEC technology under test, and the test setup. These metadata provide critical contextual data that are needed to understand the test and interpret the test data. For similar group of simulation runs with similar purpose, a single entry should be provided for each group.
Wear and Failure

version 1.0

download
The MHK Wear and Failure Content Model provides data submitters with a straight forward and consistent means of uploading data pertaining to the wear and failure of MHK components and associated metadata to the MHK data repository. The intent of this content model is to collect data from across the MHK industry so comprehensive sets of information on wear and failure can be compiled and analyzed. Based on these data, industry can learn about common causes/results of failures and identify conditions where device wear and/or failures are most likely to take place. These data are important to industry, because it may enable new designs and help improve overall device and system quality. Data will also be useful to DOE and others in understanding wear and failure issues, which may help shape program goals and decisions in the future. Data will also be used to support activities such as failure modes, effects, and criticality analysis (FMECA) and prognostics development. The ultimate goal is to perform research and tailor programs to best benefit the industry. To this end, data should be input when inspection, maintenance and repair activities occur. These data should characterize the state of the component or device and provide information on wear and failure, along with the prior symptoms and environment. As part of quantifying the impact, data on down time and repair costs are also requested. The metadata are static information describing the project, the MHK technology under test, and interpret data. These metadata provide critical contextual data that are needed to understand and interpret the failure data.

If you have questions about which model to use, please contact MHKDR Help or your DOE project lead.

To submit data using one of these models, download the model and fill it out without modifying the structure of the file, then create an account or login and go to the submission page and click the submit button.