[Bldg-sim] Fw: BSUG Reminder Commercial Building Stock Modeling: Lessons from ComStock

Thu May 7 08:44:26 PDT 2026

Hello All,

Please join us next week on May 13th. Our next BSUG lecture will focus on Commercial Building Stock Modeling: Lessons from ComStock. The lecture will be presented by Eric Ringold Senior Researcher · Building Stock Modeling & Analysis Group, National Laboratory of the Rockies.

For more details or to register, please see below.

Sincerely,

DYLAN AGNES, M.ARCH

Research Scientist II

University of Idaho – Integrated Design Lab

322 E. Front St. Suite 360 Boise, ID. 83702

dagnes at uidaho.edu – www.idlboise.com<http://www.idlboise.com/>

W - 208.364.4622

[cid:65fad390-5eaf-414e-8cbb-6e0a40a8a523]

________________________________
From: University of Idaho - Integrated Design Lab <webmaster at idlboise.com>
Sent: Thursday, May 7, 2026 9:38 AM
To: Agnes, Dylan (dagnes at uidaho.edu) <dagnes at uidaho.edu>
Subject: BSUG Reminder Commercial Building Stock Modeling: Lessons from ComStock

Commercial Building Stock Modeling: Lessons from ComStock Eric Ringold (NLR) on running 150,000 building energy models — May 13, Noon MT, Boise. Sponsored by Idaho Power. BSUG Lecture Series Modeling the U. S. Commercial Building Stock For engineers,

Commercial Building Stock Modeling: Lessons from ComStock
Eric Ringold (NLR) on running 150,000 building energy models — May 13, Noon MT, Boise. Sponsored by Idaho Power.

BSUG Lecture Series

Modeling the U.S. Commercial Building Stock

For engineers, architects, & simulationists

[BSUG Lecture Series]
When
Wednesday, May 13, 2026
Noon – 1:00 p.m. MT
Where
Idaho Water Center, Room 150
322 E. Front Street, Boise, ID 83702
Parking
Available beneath the building or in the adjacent garage. First hour free; $1.00 each additional hour.
Lunch
Free lunch for in-person attendees who register at least 24 hours in advance.
Register — In-Person<https://urldefense.com/v3/__https://www.idlboise.com/form/bsug-registration-may-13th-comme__;!!JYXjzlvb!jMwcHr0wAN8UC9b_Ib2dYh5YokAFIh4fPQvpD9VeViJAIZVH3SOZThPgAK_U5-2m4zAiBYP__ArjVkE3UJI3$>Register — Webinar<https://uidaho.zoom.us/meeting/register/LraWDfX_Rf67vcAY-LU6pA>
About the Talk

What does it take to model an entire country's commercial building stock? This talk walks through the end-to-end process behind a representative national model — from developing stock-level inputs, to generating and running 150,000 building energy models, to processing and evaluating the resulting data.

Eric will share lessons from the open-source workflow that translate to everyday BEM practice, along with concrete use cases for stock-level building energy data.

You'll Leave Able To
01  Identify the key challenges in building a national-scale commercial stock model.
02  Understand the workflow for generating, running, processing, and evaluating large-scale energy simulations.
03  Apply lessons from stock modeling to your own BEM work.
04  Evaluate use cases for stock-level building modeling data.
About the Speaker

Eric Ringold

Senior Researcher · Building Stock Modeling & Analysis Group, National Laboratory of the Rockies

Eric develops tools to evaluate the energy use of the U.S. commercial building stock and applies that data to understand and improve grid-scale energy use. Before joining NLR, he spent over a decade in commercial building energy efficiency consulting across Portland, NYC, Denver, and Oakland — modeling new and existing buildings of all types to meet local code, green-building certifications, and client efficiency goals. He's especially interested in leveraging software to streamline how building energy models get built.

Series Sponsor

[Idaho Power]<https://urldefense.com/v3/__https://www.idahopower.com__;!!JYXjzlvb!jMwcHr0wAN8UC9b_Ib2dYh5YokAFIh4fPQvpD9VeViJAIZVH3SOZThPgAK_U5-2m4zAiBYP__ArjVpoxLr7M$>

Hosted by the University of Idaho Integrated Design Lab.
Questions? Reply to this email or visit idlboise.com<https://urldefense.com/v3/__https://www.idlboise.com__;!!JYXjzlvb!jMwcHr0wAN8UC9b_Ib2dYh5YokAFIh4fPQvpD9VeViJAIZVH3SOZThPgAK_U5-2m4zAiBYP__ArjVjTN4Mu-$>.
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