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.
Reclaiming Intuition: A Simple, Flexible and Light-weight Load Modeling Tool Powered by EnergyPlus
Yiyuan Jia
Big Ladder
Modern load calculation tools often automate model translation from platforms like Revit, increasing efficiency but limiting engineers’ ability to develop design insight. This black-box approach reduces flexibility, intuition, and early-stage engagement. This presentation introduces a lightweight, Excel-based shoebox modeling tool integrated with EnergyPlus, enabling rapid feedback during iterative design. Users can easily adjust geometry, constructions, internal loads, and basic HVAC systems. The tool also explores parallel simulation by splitting large models into smaller ones. By emphasizing clarity and transparency, it empowers engineers to make informed decisions and complements more automated workflows.
