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DuraMAT's Capabilities Network

DuraMAT provides a suite of easily accessible capabilities to facilitate applied research and development. Equally important, we understand the technical issues that you need to address and can help you develop a team using these capabilities to come up with solutions. We have the following six capability areas.

DuraMAT DataHub

Capability Leader: Robert White, NREL, Robert.White@nrel.gov

Visit the DuraMAT DataHub.

Module material durability studies are an ideal platform to demonstrate the power of material informatics due to the large and heterogeneous data sets involved. The DuraMAT DataHub will integrate accessibility to historical data, new computational data, and new experimental data from a variety of sources. Analytics tools will be able to access the data through an Applied Programmatic Interface (API), allowing for efficient queries. All data will be wrapped by a flexible and dynamic security model that can protect sensitive data while still allowing public access to open data products.

  • Data Management
    Contact: Robert White, NREL, Robert.White@nrel.gov
  • Data Security and Access
  • Data Source Integration
Graphic showing the flow of information for the data hub from members and partners.

Data Management and Analytics

Capability Leader: Anubhav Jain, LBL, ajain@lbl.gov

Photovoltaic (PV) material degradation and durability will be investigated through an ambitious data analytics effort. This effort will search for correlations in data from diverse sources including computational data, materials property data, time series PV performance data, and others from multiple institutions. The DuraMAT DataHub enables this ability to investigate diverse data sets in reliability studies. The centralized location of the DataHub will serve as a platform to access data and find analytics software for data mining and visualization.

  • Data Analysis and Visualization
    Contact: Anubhav Jain, LBL, ajain@lbl.gov
  • Data Mining
  • Machine Learning and Predictive Modeling
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Predictive Simulation

Capability Leader: Kevin Leung, SNL, kleung@sandia.gov

A suite of modeling and simulation tools, model workflows, and a community of experts who work in concert with experiments and data analytics across length and time scales. This capability will be informed by Data Analytics, validated by Materials Forensics and Module Testing, and used to develop design rules for module materials. Modeling capabilities include PV systems/stressors, manufacturing stressors/excursions, PV packaging materials, and material defects. Predictive simulation is organized into three key work areas:

  • Engineering Mechanics Simulation, coupling thermal-mechanical-electrical effects
  • Electronic Structure (DFT) Calculations
  • Experimental Validation and Materials Property Data
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Advanced Characterization and Forensics

Capability Leader: Mike Toney, SLAC, mftoney@slac.stanford.edu

Co-Capability Leader: Laura Schelhas, SLAC, schelhas@slac.stanford.edu

The role of the Advanced Characterization and Forensics capability is to establish methods for materials characterization, to provide empirical data to understand module failures and degradation mechanisms, and to aid the development of new module materials through teaming with DuraMAT’s industrial and academic partners. This capability will work in close collaboration with the Module Testing, Field Deployment, and Predictive Simulation capability areas to use both existing and newly developed tools to provide deep insights into these mechanisms of failure in module materials with a focus on module materials, interfaces, and surfaces.

  • Forensics and Characterization: Compositional, Structural, Chemical, Electrical, and Optical Characterizatio
  • Interfacial and Surface Characterization
  • Advanced Characterization and Method Development: High-Throughput & In-Situ/Operando Tools
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Module Testing

Capability Leader: Peter Hacke, NREL, Peter.Hacke@nrel.gov

Prototypes and tests new materials components, mini-module prototypes, and full-size modules for durability using novel simultaneous, combinatorial accelerated stress testing. We will advance combinatorial stress tests that examine PV module durability more quickly, reliably, and with fewer samples to accelerate the development of truly field-relevant accelerated tests. Module durability testing will be tightly coupled to analytical characterization and forensics in the Materials Discovery capability area and Predictive Simulation to help define test protocols and extrapolate results observed in materials and mini-modules to full-size modules and meaningful lifecycle prediction.

  • Module Prototyping
  • Accelerated Stress Testing
  • Module-Level Power Electronics Materials Studies and Stress Testing
    Contact: Olga Lavrova, Sandia, olavrov@sandia.gov
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Field Deployment

Capability Leader: Bruce King, SNL, bhking@sandia.gov

Field deployment is a key aspect of confirming the durability of new module materials and module designs. It validates the results of Accelerated Module Testing by confirming the field relevance of degradation mechanisms and acceleration factors. It also includes life-cycle analysis and design for recycling.

  • Component to System Exposure Assessments
  • Module Characterization and Non-Destructive Evaluation
  • End-of-Life and Recyclability
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Techno-Economic Analysis

Capability Leader: Mike Woodhouse, NREL, michael.woodhouse@nrel.gov

Identifies research areas that could have the greatest economic and market impact using bottom-up module manufacturing and installation cost models based on calculations of levelized cost of energy and internal rate of return. T2M also assists with academic/lab-industry partnering and technology assessment.

  • Bottom-up PV manufacturing costs accounting and supply chain analysis
  • Technology impacts to PV project LCOE and IRR
  • Industry partnering
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