Building Energy Software Tools
Formerly hosted by US Dept. of Energy    

Training Programs

In the first part we will introduce the concept of multizone airflow and contaminant transport modeling and present the capabilities of CONTAM. We will then touch on the advanced modeling capabilities that include coupling between CONTAM and computational fluid dynamics (CFD) and co-simulation between CONTAM and the energy modeling programs EnergyPlus and TRNSYS.

In the second part we will present FaTIMA, which is a recently developed, web-based front end to the CONTAM simulation engine, ContamX. We will introduce the model capabilities, user inputs, and results generated. We will then present the use of the tool in evaluating the relative effectiveness of various measures to reduce exposure to infectious aerosols including: wearing of face coverings, increasing ventilation, increasing filtration, and using portable air cleaners. This presentation will help modelers, building owners, and facility managers to understand and apply FaTIMA to their own situations.

See the presentation slides here.

Learning Objectives​: 

Attendees will  be able to:
  • Describe NIST-developed, whole-building indoor air quality (IAQ) modeling software, CONTAM, and related simulation tools
  • Understand the fundamentals of multizone modeling and advanced capabilities of CONTAM software including coupled energy, airflow, and IAQ analysis
  • Describe the web-based software FaTIMA including its development, inputs, and outputs.
  • Apply FaTIMA to evaluate aerosol exposure as influenced by HVAC system type, ventilation rates, filtration, and other mitigation strategies. 

After viewing this video you will be able to:

  • Define heat recovery in a chiller system
  • Summarize considerations when applying a heat recovery chiller
  • Apply modeling tips for heat recovery in TRACE 700
  • Analyze reports in TRACE to understand energy saving opportunities


Download the handout (PDF)


Annual luminance maps provide meaningful evaluations for occupants’ visual comfort, preferences, and perception. However, acquiring annual luminance maps require labor-intensive and time-consuming simulations or impracticable long-term field measurements. In this Research Committee talk, we will present a novel data-driven machine learning approach that makes annual luminance-based evaluations more efficient and accessible. The methodology is based on predicting the annual panoramic luminance maps from a limited number of point-in-time high dynamic range imagery by utilizing a deep neural network (DNN). Unlike the fixed camera viewpoint of perspective or fisheye projections that are commonly used in daylighting evaluations, panoramas (with 360° horizontal and 180° vertical field of view)  allow full degree-of-freedom in camera roll, pitch, and yaw, thus providing a robust source of information for an occupant’s visual experience in a given environment. The DNN predicted high-quality panoramas are validated against Radiance (RPICT) renderings using a series of quantitative and qualitative metrics. The most efficient predictions are achieved with 9 days of hourly data collected around the spring equinox, summer and winter solstices (2.5% of the year) to predict the luminance maps for the rest of the year. The results clearly show that practitioners and researchers can efficiently incorporate long-term luminance-based metrics over multiple view directions into the design and research processes using the proposed DNN workflow. We share a public dataset of annual HDR panoramic luminance maps and the machine learning codebase to enable reproducibility and future explorations ( 

This is a comprehensive commercial energy modeling course for you to master eQUEST, the free "Quick Energy Simulation Tool" developed by the U.S. Department of Energy and other industry leaders.

This course is hands-on. You will learn how to build and run energy models. By the end of the course, you should be able to function as the go-to energy modeler on an integrated design team.

Mac Users: Unfortunately, eQUEST only runs natively on PCs. In order to run the software on a Mac, you'll need to use a virtualization program.

Hands On Energy Modeling Practice

This is a hands-on, project-based course that will give you the confidence to do energy modeling for paying clients.

Self Paced Online Course

You can begin this online course instantly upon enrollment. Get access to all of the course materials as soon as you enroll. The instructor-led session will begin on the scheduled start date. During the session dates the instructor will be in the course answering questions on the discussion board. After the instructor-led session ends, you'll continue to have access to all of the course materials for a full year and can complete the course at your own pace.

Access Information and Build Your Training Library

After enrolling, the course materials will remain in your account and be accessible 12 months (1 year) after the session end date. Access can be extended beyond 1 year with a monthly membership. Rewatch videos and review assignments as many times as you want. View updates the instructor makes to the course as the industry advances. Return to your course anytime with online access from anywhere in the world.

Earn A Certificate of Completion

When you complete this course you are eligible for a certificate of completion from HeatSpring. You can download your certificate as soon as you have completed all of the course requirements. Students can easily share their verified certificates on their LinkedIn profiles using our LinkedIn integration.

Earn Continuing Education Credits

Self Report with Certificate: 20 BPI CEUs.


DOE/PNNL/Karpman Consulting has developed the compliance form to support ASHRAE 90.1-2016 and 2019 Energy Cost Budget and Appendix G.

This 2-hour training is targeted toward building officials, beyond code program administrators, and others who are tasked with approval of energy modeling submittals for performance based compliance. It discusses submittal review strategy and the key review steps including verifying the submittal for completeness; confirming that building systems and components shown in the compliance forms reflect design documents; that the configuration of the baseline (budget) design model is established correctly based on the applicable rules of ASHRAE 90.1 Section 11 or Appendix G; that, based on the simulation reports, the baseline (budget) and proposed designs were modeled as described in the compliance forms; and that the compliance outcome was established correctly based on the energy modeling results. The training demonstrates how to effectively use the DOE Compliance Form to perform the reviews and discusses other available resources such as the Submittal Review Manual.