Conference Agenda

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Session Overview
Session
Advanced Energy Modeling
Time:
Wednesday, 13/Aug/2025:
10:30am - 12:00pm

Location: Cripple Creek 2


Session Abstract

This session showcases innovative computational approaches that enhance building energy analysis beyond conventional methods. Presentations cover integrating stack effect dynamics for accurate high-rise infiltration modeling, comparing centralized versus distributed ground source heat pump systems, developing modularized refrigeration databases for scalable modeling, and using computational fluid dynamics to optimize HVAC design for thermal comfort. These advanced techniques demonstrate the application of advanced physics-based modeling techniques that better captures real-world building performance.


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Presentations

A Comparative Analysis of Central versus Distributed Ground Source Heat Pump Systems

Craig Simmons, Ben Park, Dareum Nam, Matt Mitchell

NREL, United States of America

Ground source heat pump (GSHP) systems offer significant potential for reducing energy consumption and carbon emissions in building HVAC systems. This study compares the energy performance of central GSHP + VAV systems and distributed GSHP + DOAS systems. The study covers the impact of distributed and centralized systems on ground source heat exchanger sizing, and ground heat exchanger temperature impacts. In addition, the presentation will provide instruction to modelers on how to implement GSHP sizing routines in their modeling workflows.



CFD Analysis as a decision making tool for an auditorium HVAC design

Ronnie Haldar

Newcomb & Boyd, United States of America

Since an auditorium is a large space with high peak occupancy, CFD analysis can provide insight into heat transfer processes, wind drafts, erratic airflow patterns, undesired temperature stratification and various thermal comfort metrics like Predicted Mean Vote (PMV), Percentage People Dissatisfied (PPD) and Operative temperature. In this real-life auditorium renovation project, CFD analysis is used as an analytical tool to dial in the HVAC air distribution systems, ensuring maximum thermal comfort for the occupants.



Integrating Stack Effect Dynamics for Precise Energy Modeling

Aylin Ozkan1, Katie Reipas2

1RWDI, United States of America; 2RWDI, Canada

Energy models use simplified infiltration rates that miss complex air dynamics in tall buildings, where stack effect is a significant risk which negatively impacts performance and operations (energy, comfort, pressure on doors, etc.).

Our methods integrate stack effect modeling to quantify how stack effect, wind forces, and HVAC pressurization combine to affect air leakage. This approach calculates accurate flows based on building height, temperature and pressurization influences - factors typically overlooked.

We'll demonstrate how detailed stack effect analysis reveals the impact of air leakage on building energy performance, offering a more accurate foundation for system design and operational performance.



Modularizing Refrigeration Systems for Scalable and Adaptable Energy Modeling in Building Simulations

Yeonjin Bae, Yeobeom Yoon, Piljae Im, Jason DeGraw, Sungkyun Jung

Oak Ridge National Laboratory, United States of America

The existing refrigeration system in the OpenStudio Standard was originally developed for a prototype supermarket model. However, to accommodate new modular space types and ensure scalability across various building configurations, refactoring is necessary. This study presents a methodology for developing a modularized refrigeration database, utilizing manufacturer data to refine the system. The approach involves the creation of modular units for display cases, walk-in units, and compressor racks, with the flexibility to adapt to diverse space types and refrigeration requirements. Additionally, a generic compressor performance map and condenser module are integrated, enabling scalable and adaptable energy modeling for supermarkets and others.



 
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