IBO-BOULDER INTELLIGENT BUILDING -PURDUE OPERATIONS …
Transcript of IBO-BOULDER INTELLIGENT BUILDING -PURDUE OPERATIONS …
* Program subject to change 1
Schedule: Wednesday, August 7 13:00 – 13:30 Opening Session
13:30 – 15:30 Sessions BGI 1 and MAT 1 15:30 – 16:00 Coffee and Snack Break 16:00 – 18:00 Sessions BGI 2 and MAT 2 Thursday, August 8 08:00 – 10:00 Sessions FDD, COM, and SNS 10:00 – 10:30 Coffee Break and Snacks 10:30 – 12:30 Sessions IBA and MCP 13:00 – 21:00 Rocky Mountain National Park and Dinner Friday, August 9 08:00 – 17:00 Indian Peaks Wilderness Hike (optional) Program Overview Track 1 Track 2 Track 3
Wednesday, August 7
13:30 – 15:30 Building Grid Interactions (BGI 1) Modeling and Assessment Tools (MAT 1)
16:00 – 18:00 Building Grid Interactions (BGI 2) Modeling and Assessment Tools (MAT 2)
Thursday, August 8
8:00 – 10:00 AFFD (FDD) Control-Oriented Modeling (COM) Sensing (SNS)
10:30 – 12:30 Intelligent Building Applications (IBA)
MPC Developments and Applications (MCP)
INTELLIGENT BUILDING OPERATIONS WORKSHOP
UNIVERSITY OF COLORADO BOULDER AUGUST 7-9, 2019
IBO-Boulder will focus on theoretical foundations, novel modeling approaches, and algorithmic advances, will be hosted by RASEI (the Renewable and Sustainable Energy Institute between the University of Colorado and the National Renewable Energy Laboratory) and will be held in Boulder, Colorado.
Conference registration fee is $250 and registration will be opening March 8, 2019.
IBO-BOULDER
IBO-BOULDER IBO-PURDUE
* Program subject to change 2
Wednesday, August 7 - 13:30 – 15:30 Building Grid Interactions (BGI 1)
Title of Presentation: Name of Author: Affiliation:
Scaling of Building Transactive Control and Coordination to Support Grid Operations Srinivas Katipamula Pacific Northwest National
Laboratory
Self-Learning Water Heater Controller for the Integration of Thermal Batteries in the Grid Stephanie Stockar Pennsylvania State
University
Leveraging Residential Thermal Loads in Local Energy Communities – The role of Demand Response Aggregators Anke Uytterhoeven KU Leuven, EnergyVille
Multi-agent Soft-Actor-Critic Reinforcement Learning for Adaptive Demand Response in Smart Cities
Jose R Vazquez-Canteli University of Texas at Austin
Uncertainty-Aware Transactive Building Controls Gregory S. Pavlak Pennsylvania State University
Modeling and Assessment Tools (MAT 1)
Title of Presentation: Name of Author: Affiliation:
A Generalized Framework for Asset Life-Cycle Cost Optimization Mohammad N. Elbsat Johnson Controls
Open Building Control - Closing the Gap between Controls and Energy Modeling Michael Wetter Lawrence Berkeley National
Laboratory
Spawn: Opening the Garage Door on a Next-Generation Open-Source BEM Engine Michael Wetter Lawrence Berkeley National
Laboratory
Development of a Software Platform and Framework for Advanced Control System Testing and Benchmarking David Blum Lawrence Berkeley National
Laboratory
Evaluation of the Krylov Subspace Method for Model-Order Reduction to Enable Faster Building Simulations for Large-Scale Buildings Donghun Kim Purdue University
Wednesday, August 7 - 16:00 – 18:00 Building Grid Interactions (BGI 2)
Title of Presentation: Name of Author: Affiliation:
Comparing the Economic Performance of Ice storage and Batteries for Buildings with On-site PV Kairui Hao Purdue University
Buildings-to-Distribution-Network Integration Framework including Photovoltaics and Battery Energy Storage System Hannah Fontenot University of Texas at San
Antonio
Building to Vehicle to Building Concept for Electricity Grid Flexibility: Simulation, Case Study and Parametric Analysis
Annamaria Buonomano
University of Naples Federico II
Impacts of Zero Net Energy Homes on Distribution Grids Venkata Yaramasu Northern Arizona University
Estimating the Value of Jointly Optimized Electric Power Generation and Residential Electrical Use
Robert F Cruickshank III
National Renewable Energy Laboratory and University Colorado Boulder
* Program subject to change 3
Modeling and Assessment Tools (MAT 2) Title of Presentation: Name of Author: Affiliation:
Integrated Models for Energy Resilience Planning Vikas Chandan Pacific Northwest National Laboratory
A Modeling Framework to Evaluate Energy, Transportation, and Communication Interdependence in Smart and Connected Communities Katy Hinkelman University of Colorado
Boulder
A Multidisciplinary Model to Couple Power System Dynamics and Building Dynamics to Enable Building-to-Grid Integration Sen Huang Pacific Northwest National
Laboratory
Large-scale Building Performance Simulation for Commercial Building Energy Standards Yunyang Ye University of Colorado
Boulder
A Calibrated Simulation-based Workflow using Nonlinear Optimization to Inform Residential Energy Use Load-shifting Behaviors Rawad El Kontar National Renewable Energy
Laboratory Thursday, August 8 – 8:00 – 10:00
Automated Fault Detection and Diagnosis (FDD) Title of Presentation: Name of Author: Affiliation:
Conception and Development of a Fault Database for HVAC Systems Maria Paula Alfonso Fraunhofer Institut für Solare Energiesysteme
Assessing the Performance of Building Fault Detection and Diagnosis Algorithms and Tools Guanjing Lin Principal Scientific
Engineering Associate
A Systematic Feature Extraction and Selection Framework for Data-driven AFDD in Small Commercial Buildings Liang Zhang National Renewable Energy
Laboratory
Cloud Based Non-Intrusive duct and Building Envelop Leakage Determination Armando Casillas Western Cooling Efficiency
Center, UC Davis
Big Data Driven Fault Detection and Diagnostics of HVAC Components Mehari Tesfay University of Nebraska-Lincoln
Control-Oriented Modeling (COM) Title of Presentation: Name of Author: Affiliation:
Online Learning for Commercial Buildings Jin Dong Oak Ridge National Laboratory
The Strength of White-box Model Predictive Control in Buildings Filip Jorissen KU Leuven
State Estimation of Control-oriented White-box Models for Buildings Ján Drgoňa KU Leuven
Development and Impact of a Borefield Controller Model for Model Predictive Control Iago Cupeiro Figueroa KU Leuven, EnergyVille
Application of RC model for Residential Building Modeling Jianli Chen National Renewable Energy Lab
* Program subject to change 4
Sensing (SNS) Title of Presentation: Name of Author: Affiliation:
Optimal Placement of Sensors for Multi-Zone Building Modeling Javier Arroyo KU Leuven, EnergyVille, VITO NV
Dual-Hierarchical CO2 Sensing for Smart Buildings Zachary Siefker Purdue University
Occupant-Centric Building Metrics Cory Mosiman WSP
Advanced Power Distribution Sensing and Communications Through the Cable TV Broadband Network Anthony R Florita National Renewable Energy
Laboratory
Development of an Open Database for Residential Building Occupancy Detection Maggie Jacoby University of Colorado,
Boulder
Multimodal Building Occupancy Detection using Hierarchical Spatiotemporal Networks Sin Yong Tan Iowa State University
Thursday, August 8 – 10:30 – 12:30
Intelligent Building Applications (IBA) Title of Presentation: Name of Author: Affiliation:
An Academic Engineering Program in Smart Building Systems David Yuill University of Nebraska - Lincoln
Benefits of Variable Phase-Change Materials for Thermal Storage with Residential Heat Pumps Davide Ziviani Purdue University
Evaluation of the Virtual Storage Capability of Two Control Methods for Residential Air-Conditioning Systems BORUI CUI Oak Ridge National
Laboratory
Machine Learning for Multi-Mode, Multi-Model Blending toward Enhanced Whole-Building Electrical Demand Forecasting Anthony Florita National Renewable Energy
Laboratory
Quantifying the Benefits of Low-Exergy HVAC Systems with Consideration of Optimal Thermal Energy System Topologies Amy Allen
University of Colorado Boulder, and National Renewable Energy Laboratory
MPC Developments and Applications (MCP) Title of Presentation: Name of Author: Affiliation:
Deep Learning-based Model Predictive Building Control Ján Drgoňa KU Leuven
Energy Savings Potential of Model Predictive Control for Supervising Multiple Rooftop Unit Economizers Donghun Kim Purdue University
A Generalized Disjunctive Programming-Based Model Predictive Control for Optimal Start and Stop in Buildings Arnab Bhattacharya Research Scientist, PNNL
Nonlinear Model Predictive Control for Building Systems: A Computational Study Arnab Bhattacharya Research Scientist, PNNL
The Use of Artificial Intelligence and Model Predictive Control for Optimally Storing Energy in the Building Thermal Mass Michael J. Wenzel Johnson Controls