Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
Advanced Workflows for Energy Modeling
Time:
Friday, 15/Aug/2025:
8:30am - 10:00am

Location: Silverton Ballroom 2 & 3


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Presentations

Advanced Workflows for Energy Modeling

Chair(s): Rick Fenrich (xStar Research)

Technical presentations of gold standard and recent advances for design, construction, and operations modeling, showcasing both tools and new workflows.

 

Session Presentations

 

Mastering Energy Modeling with Master Tools

Sheila Sagerer
Ecoworks Studio

Creating an energy model for a project can be an overwhelming task. From gathering

and organizing data across various design disciplines to making assumptions for

unfinished aspects, it’s easy to feel buried under the complexity. On top of this, tracking

the data through each phase of design while maintaining budgeted time can add even

more pressure. So, how can you streamline this process to ensure both accuracy and

efficiency? The answer lies in using master tools such as checklists and data tracking

files that empower energy modelers to manage data and workflows seamlessly.

 

Enhancing Energy Modeling Practice with AI, Machine Learning, and Advanced Workflows

Ladan Ghobad
ENERlite Consulting

As energy efficiency becomes a priority in building design, advanced energy modeling tools and workflows are essential for optimizing performance. This presentation explores how AI, machine learning, and data-driven techniques enhance energy modeling accuracy and efficiency. Key topics include custom Python scripts coupled with energy modeling, quality assurance, calibration, and leveraging industry tools. AI-driven workflows streamline the modeling process for building code analysis, climate data processing, data inputs, and material selection. Attendees will gain practical insights into cutting-edge methodologies that improve modeling precision and accelerate sustainable building design.

 

Platform Based Design for data-driven design, implementation and operation of building and district energy systems

Michael Wetter
Lawrence Berkeley National Laboratory

We demonstrate how Platform Based Design aids in formalizing sequential decision-making from design to operation. The workflow starts with multi-objective optimization to compare different technology options for heating and cooling. It then progresses in the next design layer to detailed design with formal verification of control sequences that conform to ASHRAE Standard 231P. Lastly, in the implementation layer, control logic can be exported from the simulation model and then serve as formal specification for building automation providers and for commissioning agents to verify that the installed control logic conforms to the digital specification.