Conference Agenda

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.

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.

As energy efficiency becomes a priority in building design, accurate and rapid energy modeling is critical for optimizing performance and informing decision-making. This presentation explores cutting-edge tools and workflows that enhance energy modeling, leveraging AI, machine learning, and data-driven approaches to improve accuracy and efficiency.