Integrated Energy

Decision Support Systems Tools

Open-source analytical tools help researchers, industry and government evaluate complex systems and support informed decision-making.

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Supporting Complex Decisions

Decision Support System Tools include simulation models, data-intensive methods and analytical techniques that help researchers, industry and government evaluate complex systems and support informed decisions. Developed by Idaho National Laboratory’s Systems Science and Engineering group, the models are released as open-source resources.

The multidisciplinary team combines expertise in mathematics, statistics, engineering, computer science, economics, modeling and simulation, operations research, data analytics and geospatial data science to design, develop and improve analytical tools for complex systems.

While the models are available through GitHub, this site provides a single location to browse tools, access documentation and download files that are not available through GitHub because of file size limitations.

Browse the Tool Library

Decision Support System Tools are organized by the types of questions they help answer, from evaluating supply chains and future market scenarios to improving the performance of complex infrastructure systems.

Supply Chain Analysis

Analyzes the production, movement and availability of raw materials, components and end-of-life products across local, regional, national and global supply chains. These tools support analyses ranging from days to years to assess technology impacts, market dynamics and material availability.

Analytical Methods
  • System Dynamics
  • Agent-Based Modeling
Tools

Market Analysis

Evaluates energy scenarios by examining supply chain impacts, identifying potential constraints and bottlenecks, and comparing mitigation strategies that support future planning.

Analytical Methods
  • Simulation Modeling
  • Geospatial Analysis
  • Machine Learning
Tools

Operations & Critical Infrastructure Analysis

Applies analytical methods to improve decision-making and operational efficiency across complex systems. These tools help identify operating conditions and strategies that improve economic, environmental and operational performance.

Analytical Methods
  • Simulation Modeling
  • Statistics & Probability
  • Heuristics
  • Optimization Algorithms
Tools

Software Libraries

Software libraries provide reusable Python code that supports data analysis, modeling and application development. These open-source resources can be incorporated into custom workflows, APIs and other analytical tools.

A Python library for estimating vehicle emissions and fuel consumption from driving cycle and vehicle characteristics data for light-duty vehicles.

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