Smart Building Systems
ASHRAE Technical Committee 7.5

Sunday, June 25 11:00 AM – 12:30 PM EDT
Seminar 11: Are You Prepared to Specify the Future of Building Automation?
Room: JW Marriott Tampa Water Street, Tampa Bay 3
Summary: ASHRAE Guideline 13, Specifying Building Automation System is intended to provide a designer of building automation systems (BAS) with background information, recommendations for good practice, project considerations and detailed discussion of options with respect to the design of a BAS system. The latest edition has added over 250 pages of new content including: 1. New organization structure. 2. Terminology updates. 3. Updates to sample the specification. 4. Control network design and IP Networking. 5. New content on BACnet/SC (Secure Connect), Cybersecurity, network infrastructure. 6. Updated Performance Monitoring and Fault Detection and Diagnostic Options. 7. System architecture for IT/OT, and more.
Chair: Taraneh Shoorideh
Technical Committee: 1.4 Control Theory and Application, 7.5 Smart Building Systems, SGPC 13

1. 1. New and Improved Guideline 13!
   Presenting Author: Philip Naughton, PE (retired), CEM, EcoCleanroom HVAC Consulting, Austin, TX, USA
2. 2. Guideline 13: What’s New, What’s Important, and What’s Coming for BAS Design and Specification
   Presenting Author: Ron Bernstein, RBCG Consulting, Encinitas, CA, USA
3. 3. Future Proofing Your BAS with Guideline 13
   Presenting Author: Ken Gilbert, Automated Logic Corporation, Aurora, CO, USA
4. 4. You Have Just Read Guideline 13, What Do You Need to Show, and the Different Methods of Procurement / Installation.
   Presenting Author: Christopher Miller, PE, CEM, CxA, P2S Inc., Long Beach, CA, USA

Monday, June 26 8:00 AM – 9:30 AM EDT
Seminar 21: Automated Fault Detection and Diagnostics Methods for Building HVAC Systems
Room: JW Marriott Tampa Water Street, Tampa Bay 2
Summary: Automated fault detection and diagnosis (AFDD) for HVAC systems in buildings detect and identify operational faults based on the analysis of measured system behaviors. AFDD is critical in achieving the goal of building energy efficiency, reducing or eliminating energy waste in buildings caused by operational faults, and ensuring the persistence of building commissioning. This seminar presents new AFDD methods and research development for HVAC systems including functional performance test-based, inverse model-based, and evolving learning-based AFDD methods. The seminar also presents AFDD testing results and lessons learned based on the implementation of the new AFDD methods into several existing buildings.
Chair: Liping Wang, PhD
Technical Committee: 7.5 Smart Building Systems, 1.5 Computer Applications, GPC36

1. 1. Initial Results from Testing Guideline 36 Sequences Using the NIST Functional Performance Test Module Commissioning Tool
   Presenting Author: Michael A. Galler, NIST Engineering Laboratory, Gaithersburg, MD, USA
2. 2. An Evolving Learning-Based Fault Detection and Diagnosis Method for HVAC Systems
   Presenting Author: Liping Wang, PhD, University of Wyoming, Laramie, WY, USA
3. 3. AHU Doctor: An Inverse Model-Based Software Platform for Commissioning Controls Hardware and Sequences in VAV AHU Systems
   Presenting Author: Burak Gunay, Ph.D, P.Eng., Carleton University, Ottawa, ON, Canada
4. 4. Machine Learning Based FDD Overview and Case Studies
   Presenting Author: Jin Wen, Ph.D., Drexel University, Philadelphia, PA, USA

Monday, June 26 9:45 AM – 10:45 AM EDT
Seminar 26: Integrating Data-driven and Physics-based Modeling Approaches for Advanced Research in the Built Environment
Room: JW Marriott Tampa Water Street, Tampa Bay 7
Summary: Data-driven and physics-based models are commonly used for predicting building performance. Physics-based models require detailed knowledge of building characteristics and HVAC systems. Substantial efforts are needed to create and calibrate the models. A data-driven approach does not require detailed information on building characteristics or system specifications. However, data-driven models are sensitive to the amount of training data, data accuracy, and the operating conditions under which the data were collected. A hybrid modeling approach integrating data-driven and physics-based models can be flexible and efficient. We demonstrate the hybrid modeling approach through urban system modeling, model predictive controls and indoor greenery systems.
Chair: Ralph Muehleisen, Ph.D., P.E.
Technical Committee: 4.7 Energy Calculations, 7.5 Smart Building Systems

1. 1. Building Energy Performance Prediction for Baltimore Urban System Facing Climate Challenges
   Presenting Author: Jiazhen Ling, PhD, National Renewable Energy Laboratory
2. 2. Implementation of Model Predictive Control (MPC) in a Real Office Building: Overview and Lessons-Learned
   Presenting Author: David Blum, Lawrence Berkeley National Laboratory, Conshohocken, PA, USA
3. 3. Evaluating the Effects of Indoor Greenery Systems on Building Cooling Energy Using a Hybrid Modeling Approach
   Presenting Author: Liping Wang, PhD, University of Wyoming, Laramie, WY, USA

Monday, June 26 11:00 AM – 12:00 PM EDT
Seminar 31: Field Performance of Occupancy-based HVAC Control in Commercial Buildings: Demonstration Results from ARPA-E SENSOR (Saving Energy Nationwide in Structures with Occupancy Recognition) Category D Teams
Room: JW Marriott Tampa Water Street, Tampa Bay 6
Summary: About 13% of all energy produced in the United States today is used to heat, cool, and ventilate buildings. Furthermore, 37% of all energy used by commercial buildings goes toward HVAC—even greater for residences, at 40%. Much of this energy is wasted, being used when buildings are unoccupied or occupied well below the maximum levels for which they are designed. Occupancy-based HVAC control has the significant energy saving potential. This seminar covers field testing results of occupancy-based HVAC controls in commercial buildings from ARPA-E SENSOR (Saving Energy Nationwide in Structures with Occupancy Recognition) Category D Teams.
Chair: Zheng O'Neill, Ph.D., P.E.
Technical Committee: 7.5 Smart Building Systems, MTG.OBB Occupant Behavior in Buildings

1. 1. Evaluating the Field Performance of Occupancy Counting and CO2 Sensors in Occupied Commercial Buildings
   Presenting Author: Kristen Cetin, PE, Michigan State University, East Lansing, MI, USA
2. 2. Quantifying the Accuracy and Energy Savings of an Occupant Counting Sensor in a Small Office Building in Texas: Results from Field Testing
   Presenting Author: Zhihong Pang, Louisiana State University, Baton Rouce, LA, USA
3. 3. Field Validation of Energy Savings from Occupant-Based HVAC Controls for a Medium Sized Building in New York
   Presenting Author: Bing Dong, Ph.D., Syracuse University, Syracuse, NY, USA

Tuesday, June 27 8:00 AM – 9:30 AM EDT
Seminar 38: Connected Communities: Grid Interactivity, Energy resilience and Decarbonization
Room: JW Marriott Tampa Water Street, Tampa Bay 7
Summary: Connected communities, consisting of buildings communicating with the electric power grid and shared community resources, such as a photovoltaic generation and/or storage systems, can flexibly control loads to maximize energy efficiency, minimize energy costs, increase energy resiliency and contribute to decarbonization, while providing services to the power grid. The first presentation in this seminar shows how behind-the-meter energy resources such as flexible loads can mitigate the variability of distributed renewable electricity generation. The second presents how the coordination of the power demand of end use devices in two smart neighborhoods optimizes energy consumption based on a utility signal.
Chair: Michael Brambley, PhD
Technical Committee: 7.5 Smart Building Systems, 1.4 Control Theory and Application

1. 1. How Can Behind-the-Meter Distributed Energy Resources in Connected Communities Support Grid Reliability and Resilience?
   Presenting Author: Srinivas Katipamula, Dr., Pacific Northwest National Laboratory
2. 2. Smart Connected Neighborhood
   Presenting Author: Helia Zandi, Oak Ridge National Laboratory, Oak Ridge, TN, USA

Tuesday, June 27 11:00 AM – 12:30 PM EDT
Seminar 49: Learned from BAS Data: The Most Common Operational Problems in HVAC Systems, and the Energy Savings from Fixing Them
Room: JW Marriott Tampa Water Street, Tampa Bay 2
Summary: Recent large-scale projects have analyzed BAS and fault diagnostic data from over 1500 buildings in the US, to understand what operational faults are the most commonly occurring, how persistent the faults are, and their impacts on building performance. One study examined monitoring data from over 60,000 unique pieces of equipment (air-handling units, VAV boxes, and rooftop units) over 12-24 months of operation to gather information. Another study looked at 151 buildings, and implemented corrective action in 69 of them, to assess energy saving potential. This seminar presents the summarized results of these landmark studies.
Chair: David Yuill, PE
Technical Committee: 7.5 Smart Building Systems, 7.3 Operation, Maintenance and Cost Management

1. 1. Prevalence of Typical Operational Problems and Energy Savings Opportunities in U.S. Commercial Buildings
   Presenting Author: Srinivas Katipamula, Dr., Pacific Northwest National Laboratory
2. 2. Insights and Recommendations from a Large-Scale Study of Operating Fault Prevalence in HVAC System Components in 1500 Buildings
   Presenting Author: Yimin Chen, Ph.D., Lawrence Berkeley National Laboratory, Albany, CA, USA
   Author: Eliot Crowe, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Wednesday, June 28 11:00 AM – 12:30 PM EDT
Seminar 70: Flexible Building Equipment Performance Verification using Hardware-in-the-Loop Testbeds
Room: JW Marriott Tampa Water Street, Tampa Bay 2
Summary: Flexible electricity loads provided by buildings help to create a resilient and reliable power grid while making electricity cleaner and more affordable.  However, there are limited public data sets with high resolution that can help researchers and industry to understand building load flexibility. This seminar introduces three on-going projects funded by the U.S. DOE seeking to develop publicly available datasets that measure the performance of energy efficient building technologies and control systems to provide grid services, using three different hardware‐in‐the‐loop (HIL) test methods. The three HIL testbeds verify the building equipment’s load flexibility, while considering occupants’ interactions with the buildings.
Chair: Jin Wen, Ph.D.
Technical Committee: 7.5 Smart Building Systems, 1.4 Control Theory and Application

1. 1. A Framework to Characterize the Performance of Building Components in Providing Flexible Loads and Building Services Using a Hardware in the Loop Approach
   Presenting Author: Marco Pritoni, Research Scientist, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
2. 2. Hil Lab Performance Verification of Flexible Building Equipment in a Typical Commercial Building
   Presenting Author: Jin Wen, Ph.D., Drexel University, Philadelphia, PA, USA
3. 3. A Scalable Hardware and Human in the Loop Grid Interactive Efficient Buildings Equipment Performance Dataset
   Presenting Author: Bethany Sparn, National Renewable Energy Laboratory, Golden, CO, USA