INTELLIGENTBUILDINGOPERATIONSWORKSHOPANDPAPERSESSIONS

PurdueUniversity,July8-12,2018

PurdueCenterforHighPerformanceBuildings

PRELIMINARYPROGRAM

IBOWorkshop–Sunday,July8,2018(RawlsHall,Room1062)Thiswillbethefourthinaseriesofworkshopsthatbringtogetherresearchersanddevelopersofintelligentbuildingfeaturesandsystems.Thegoalistogainabetterunderstandingofthestateofintelligentbuildingtechnologiesandtoidentifyexistinggapsthatshouldbeaddressedinfutureresearchanddevelopment.Theone-dayworkshopwillfeatureselectedpresentationsofcasestudiesthathighlightrecentdevelopmentsanddemonstrationsofadvancedsensing,controlanddiagnostictechnologies,occupantinteractions,andgridinteractions. The formatwill encourage an open discussion to addresswhat is necessary tomove fromresearchtowidespreadadoptionofintelligentbuildingtechnologies.Themarketplacehasbeenslowtoofferthesehigh-levelfeaturesbecauseofhighimplementationcostsassociatedwithsite-specificsolutions.Thisworkshopwillfocusontechnologysolutionsthatcanenablescalableandcost-effectiveintelligentbuildingoperations.Inadditiontotheworkshop,severaltechnicalsessionswillbeheldduringtheInternationalHighPerformanceBuildingsConferencethataddresstechnologicaldevelopmentscriticalforachievingscalableandcosteffectiveintelligentbuildingoperations.Presentationswillbesupplementedwithpapersthatarepartoftheproceedingsoftheconference.AsingleregistrationfeewillcoverparticipationinboththeIBOWorkshopandtheHPBConference.Inaddition,participantswillbeableattendanyofthetechnicalsessionsassociatedwiththePurdueInternationalCompressorandRefrigerationandAirConditioningConferences,whichareheldconcurrently.IBOOrganizingCommittee JimBraun,PurdueUniversity GregorHenze,UniversityofColoradoBoulderPanagiotaKarava,PurdueUniversity NeeraJain,PurdueUniversity

IBOWorkshopPresentationsTime Presentation Presenters Institution

7-8am Registration/Coffee

8-8:10 Introduction Henze/Braun

Fundamentals:EnablingIntelligentBuildings(Moderator:JimBraun)8:10-8:50 OptimizationApproachesforHVACProblems

-CostTargetOptimization BobTurney JohnsonControls

-TheroleofStochasticOptimizationinHVAC VictorZavala UniversityofWisconsin

8:50-9:20 MachineLearningApproachesforBuildingAnalytics SoumikSarkar/GregorHenze

IowaState/Univ.ofColoradoBoulder

9:20-9:40 BridgingMachineLearningandControlsforIntelligentBuildings AchinJain UniversityofPennsylvania

9:40-10:00 Human-in-the-LoopResponseModeling PanagiotaKarava Purdue

10-10:30 CoffeeBreak

10:30-10:50 Control,DataMining,andPrivacyIssuesforSmartBuildings RuoxiJia UniversityofCalifornia

Berkeley

10:50-11:10 SensingTechnologiestoEnableEmbeddedIntelligence JeffRhoads Purdue

11:10-11:40 Grid-InteractiveUtilityIncentivesandIssues GregPavlak/JieCai

PennState/UniversityofOklahoma

IBOWorkshopPresentations(continued)

Time Presentation Presenters Institution

OptimalControlDevelopments&CaseStudies(Moderator:GregorHenze)

11:40-12:00 LargeScaleOptimizationofCentralEnergyFacilities,EnergyStorage,Campuses MikeWenzel JohnsonControls

12:00-12:20 Real-TimeMixed-IntegerOptimizationforImprovedEconomicPerformanceinHVACSystems

ChristosMaravelias UniversityofWisconsin

12:20-1:20 Lunch

1:20-1:40 Low-CostMPCforLoadShapinginSmallCommercialBuildings DonghunKim Purdue

1:40-2:00 AncillaryServicesinLargeCommercialBuildings PrabirBarooah UniversityofFlorida

2:00-2:20 AncillaryServiceswithVariable-SpeedHVACinSmallCommercialBuildings JieCai UniversityofOklahoma

2:20-2:40 IntelligentOperationofSmartHomeswithVariableUtilityRates XinJin NationalRenewableEnergy

Laboratory

BigDataAnalyticsandAFDDinCommercialBuildings(Moderator:PanagiotaKarava)

2:40-3:00 ProbabilisticGraphicalModelingforBuildingEnergyDisaggregation

SoumikSarkar/GregorHenze

IowaState/UniversityofColoradoBoulder

3-3:30 CoffeeBreak

3:30-3:50 CharacterizationandSurveyofAFDDTools GuanjingLin LawrenceBerkeleyNationalLabs

3:50-4:20 AnOpen,Cloud-BasedPlatformforWhole-BuildingFaultDetectionandDiagnostics

StephenFrank/JasonNichols

NationalRenewableEnergyLaboratory/GeneralElectric

4:20-4:40 OptimalMaintenanceSchedulingforRooftopAirConditioners AndrewHjortland Lennox

4:40-5:00 EvaluatingthePerformanceofAFDDMethods DavidYuill UniversityofNebraska

5:00-5:30 Wheredowegofromhere?(Moderator:NeeraJain)

**ConferenceIBOPaperSessionsListedontheFollowingPages**

Overviewof2018PurdueConferencesIBOPaperSessionsMonday-Thursday

IBOPaperSessions-Monday,July99:30-11:301:00-3:00

3:00-3:30

3:30-5:306:00-8:00IBOPaperSessions-Tuesday,July108:30-9:309:45-11:45

12:00-1:15

1:30-3:303:30-4:00

4:00-6:00

IBOPaperSessions–Wednesday,July118:30-9:309:45-12:00

12:00-1:00

B-01: Control-Oriented Modeling (IBO)

B-03: Model Predictive Controls I (IBO)

B-05: Model Predictive Controls II (IBO)

B-07: Occupant-based Control and Modeling (IBO)

B-09: Grid-Responsive Systems and Controls I (IBO)

B-11: Model Predictive Controls III (IBO)

R-18: HVAC&R Equipment Fault Impacts & Diagnostics (IBO)

1:00-3:00

3:00-3:30

3:30-5:306:00-10:00

IBOPaperSessions–Thursday,July128:30-9:309:45-12:00

TentativePapersforIBOConferenceSessions

B-01:Control-OrientedModeling(IBO)Time: Monday, 09/Jul/2018: 1:00pm - 3:00pm · Location: 214 A&B Development of a Generalized Control Strategy for Thermal Energy Storage in Residential Buildings Aaron Tam, James E Braun, Neera Jain, Davide Ziviani Purdue University, United States of America; tam15@purdue.edu Performance Evaluation Of Thermally Activated Glass Fibre Reinforced Gypsum Building Equipped With Desiccant System Sakthi Muruganantham N1, Dharmasastha K2, Gurubalan A2, Saravanan R1, Maiya M.P.2 1College of Engineering, Guindy, Chennai, India.; 2Indian Institute of Technology Madras, Chennai, India; dharmasirkazhi@gmail.com Integrated Platform for Whole Building HVAC System Automation and Simulation Lina Yang1, Yuhui Kuang2, Yuan Yuan1, Jinlei Ding1, Yonghua Zhu1 1United Technologies Research Center (China) Ltd., China; 2Carrier Shanghai R&D Center, China; Yangl2@utrc.utc.com Thermohygrometric Modeling and System Identification of an Intelligent Building Testbed Charles Chukwunyem Okaeme, Matt Minakais, Sandipan Mishra, John Ting-Yung Wen Rensselaer Polytechnic Institute; okaemc@rpi.edu

A control-oriented dynamic model of air flow in single duct multi-zone HVAC system Roshan Raisoni1, Naren Srivaths Raman1, Prabir Barooah1, Jeff Munk2, Piljae Im2 1Department of Mechanical and Aerospace Engineering, University of Florida; 2Oak Ridge National Laboratory; roshanrai@ufl.edu A simplified regression building thermal model of detached two-floor house in U.S. for virtual energy storage control Borui Cui1, Jin Dong1, Jeffrey Munk1, Ning Mao2, Teja Kuruganti1 1Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA; 2Department of Gas Engineering, College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, China; cuib@ornl.gov Simultaneous Identification of Linear Building Dynamic Model and Disturbance Using Sparsity-Promoting Optimization Tingting Zeng, Jonathan Brooks, Prabir Barooah University of Florida, United States of America; tingtingzeng@ufl.edu

B-15 Grid-Responsive Systems and Controls II (IBO)

R-26 Advanced Equipment Controls II (IBO)

B-17: Building Control Strategies (IBO)

B-13 Data-Driven Modeling and Diagnostics (IBO)

R-22 Advanced Equipment Controls I (IBO)

B-03:ModelPredictiveControlsI(IBO)Time: Monday, 09/Jul/2018: 3:30pm - 5:30pm · Location: 214 A&B Large Scale Optimization Problems for Central Energy Facilities with Distributed Energy Storage Michael J. Wenzel, Mohammad N. ElBsat, Matthew J. Ellis, Matthew J. Asmus, Andrew J. Przybylski, Ryan Baumgartner, John H. Burroughs, Graeme Willmott, Kirk H. Drees, Robert D. Turney Johnson Controls, United States of America; mike.wenzel@jci.com Optimal Solar Energy Utilization in Building Operation under Weather Uncertainty Xiaoqi Liu1,2, Parth Paritosh3, Nimish Awalgaonkar3, Ilias Bilionis3, Panagiota Karava1,2 1Lyles School of Civil Engineering, Purdue University; 2Center for High Performance Buildings, Ray W. Herrick Laboratories, Purdue University; 3School of Mechanical Engineering, Purdue University; liu1052@purdue.edu An Agent-based Control Implementation for the Optimal Coordination of Multiple Rooftop Units Xiaodong Hou1,4, Yingying Xiao1,4, Jaewan Joe2,4, Jie Cai5, Panagiota Karava2,4, Jianghai Hu1,4, James Braun3,4 1School of Electrical and Computer Engineering, Purdue University; 2Lyles School of Civil Engineering, Purdue University; 3School of Mechenical Engineering, Purdue University; 4Center for High Performance Buildings, Ray W. Herrick Laboratories; 5Aerospace and Mechanical Engineering, The University of Oklahoma; hou39@purdue.edu Typical Days MPC Applied to a Library with Photovoltaics Vasken Dermardiros1, Scott Bucking2, Andreas K. Athienitis1 1Department of Building, Civil and Environmental Engineering, Concordia University, Canada; 2Department of Civil and Environmental Engineering and the Azrieli School of Architecture and Urbanism, Carleton University, Canada; vdermardiros@gmail.com Model Predictive based building energy management system Integrated with the distribution system Amin Mirakhorli UTSA, United States of America; amin.mirakhorly@gmail.com

SynaptiQ Building: Commercialization of Model Predictive Control for Large and Medium-Size Buildings - Implementation and Results Roel De Coninck, Dirk Devriendt, Matthijs De Deygere 3E, Belgium; roel.deconinck@3e.eu

B-05:ModelPredictiveControlsII(IBO)Time: Tuesday, 10/Jul/2018: 9:45am - 11:45am · Location: 214 A&B CanMETEO: a Weather Forecast Tool for Building Operation José Agustín Candanedo, Jean-Marc Hardy, Étienne Saloux, Radu Platon, Vahid Raissi-Dehkordi, Alexandre Côté CanmetENERGY-Varennes, Canada; jose.candanedoibarra@canada.ca A Hierarchical Model Predictive Control Approach For Battery Systems Ranjeet Kumar1, Michael J. Wenzel2, Matthew J. Ellis2, Mohammad N. ElBsat2, Kirk H. Drees2, Victor M. Zavala1 1University of Wisconsin-Madison, United States of America; 2Johnson Controls International; rkumar32@wisc.edu Formulation and Application of an Economic Model Predictive Control Scheme for Thermostats Matthew J Ellis, Anas Alanqar Johnson Controls, United States of America; matthew.j.ellis@jci.com Practice-Oriented System Identification Strategies for MPC of Building Thermal and HVAC Dynamics Anas Alanqar, Matthew J Ellis, Juan E Tapiero Bernal, Michael J Wenzel Johnson Controls, Inc., United States of America; anas.alanqar@jci.com Real MPC implementation in an office building using TACO Damien Picard1,2, Filip Jorissen1,3, Iago Cupeiro Figueroa1,3, Lieve Helsen1,3 1KU Leuven, Leuven, Belgium; 2Boydens Engineering, Dilbeek, Belgium; 3EnergyVille, Waterschei, Belgium; filip.jorissen@kuleuven.be MPC performance for hybrid GEOTABS buildings Damien Picard1, Lieve Helsen1,2 1University of Leuven (KU Leuven), Department of Mechanical Engineering, Belgium; 2EnergyVille, Belgium; damien.picard@kuleuven.be

B-07:Occupant-basedControlandModeling(IBO)Time: Tuesday, 10/Jul/2018: 1:30pm - 3:30pm · Location: 214 A&B An Efficient Method for Learning Personalized Thermal Preference Profiles in Office Spaces Seungjae Lee1,2, Panagiota Karava1,2, Athanasios Tzempelikos1,2, Ilias Bilionis3 1School of Civil Engineering, Purdue University, United States of America; 2Center for High Performance Buildings, Ray W. Herrick Laboratories, Purdue University, United States of America; 3School of Mechanical Engineering, Purdue University, United States of America; lee1904@purdue.edu Identifying Residential Energy Consumption Behavior for Eco-Feedback Design in Multifamily Housing Sang woo Ham, Panagiota Karava Purdue University, West Lafayette, IN, USA; ham9@purdue.edu Occupant Behavior Driven Buildings-to-grid Integration Framework for Large Commercial Buildings Zhaoxuan Li, Bing Dong, Hannah Fontenot Mechanical Engineering,University of Texas at San Antonio, United States of America; hcfontenot13@gmail.com Development and Evaluation of Occupancy Schedule Detection Algorithm to Improve Small- and Medium-Size Commercial Building Operations Srinivas Katipamula, Woohyun kim, Robert Lutes, Ronald Underhill Pacific Northwest National Laboratory, United States of America; srinivas.katipamula@pnnl.gov

Forecasting Building Occupancy Using Sensor Network Data and Machine Learning Algorithms Li-Te Huang, Ying-Chieh Chan, Xing-Yu Jiang National Taiwan University, Taiwan; r06521709@ntu.edu.tw

A new self-calibrating daylighting control framework integrating programmable low-cost HDR sensor networks with occupant-related information Michael Kim1,2, Iason Konstantzos1,2, Athanasios Tzempelikos1,2 1Lyles School of Civil Engineering, Purdue Univeristy, West Lafayette, Indana 47907 USA; 2Center for High Performance Buildings, Ray W. Herrick Laboratories, Purdue University, West Lafayette, Indiana 47907 USA; kim2384@purdue.edu Data Mining of Smart WiFi Thermostats to Develop Multiple Zonal Dynamic Energy and Comfort Models of a Residential Building Kefan Huang1, Abdulrahman Alinezi2, Robert Lou3, Kevin Hallinan4, Brian Butler5, Vijay Bahel6, Rajen Rajendran7 1Department of Mechanical and Aerospace Engineering / Renewable and Clean Energy, University of Dayton, Dayton, OH, 45469, United States of America; 2Department of Mechanical and Aerospace Engineering / Renewable and Clean Energy, University of Dayton, Dayton, OH, 45469; 3Department of Mechanical and Aerospace Engineering / Renewable and Clean Energy, University of Dayton, Dayton, OH, 45469; 4Department of Mechanical and Aerospace Engineering / Renewable and Clean Energy, University of Dayton, Dayton, OH, 45469; 5Emerson Climate Technologies, Helix Center, 40 W Stewart St, Dayton, OH 45479,; 6Emerson Climate Technologies, Helix Center, 40 W Stewart St, Dayton, OH 45479; 7Emerson Climate Technologies, Helix Center, 40 W Stewart St, Dayton, OH 45479; kevin.hallinan@udayton.edu Occupant Visual Preferences Vs Control Actions In Private Perimeter Offices Seyed Amir Sadeghi1,2, Seungjae Lee1,2, Panagiota Karava1,2, Ilias Bilionis3, Athanasios Tzempelikos1,2 1Lyles School of Civil Engineering, Purdue University; 2Center for High Performance Buildings, Ray W. Herrick Laboratories, Purdue University; 3School of Mechanical Engineering, Purdue University; ttzempel@purdue.edu

B-09:Grid-ResponsiveSystemsandControlsI(IBO)Time: Tuesday, 10/Jul/2018: 4:00pm - 6:00pm · Location: 214 A&B Intelligent Operation of Smart Homes under Residential Demand Charge and Diverse User Preferences Xin Jin, Jeff Maguire, Dane Christensen National Renewable Energy Laboratory; xin.jin@nrel.gov Air-Source Heat Pump and Photovoltaic Systems: Advantages of a Control Strategy Based on the Knowledge of the Time Evolution of the Electricity Price Elena Bee, Alessandro Prada, Paolo Baggio DICAM, University of Trento, Italy; elena.bee@unitn.it Rule Based Control Strategies of Thermal Storage in Residential Heating Systems with Air-Source Heat Pump and Photovoltaic Panels Elena Bee, Alessandro Prada, Paolo Baggio DICAM, University of Trento, Italy, Italy; elena.bee@unitn.it Central Energy Facility Optimization with Integrated Incentive and Price-Based Demand Response Programs Mohammad N. ElBsat1, Michael J. Wenzel1, Matthew J. Asmus1, Frank Renovich2, Robert Misbrener2, James P. Kummer1 1Johnson Controls, United States of America; 2Kent State University, United States of America; mohammad.elbsat@jci.com

A Study of Virtual Energy Storage From Thermostatically Controlled Loads Under Time-Varying Weather Conditions Austin Robert Coffman1, Ana Bušić2, Prabir Barooah1 1University of Florida, United States of America; 2Inria, France; bubbaroney@ufl.edu Analysis of round-trip efficiency of an HVAC-based virtual battery Naren Srivaths Raman, Prabir Barooah University of Florida, Gainesville, Florida, USA; narensraman@ufl.edu

B-11:ModelPredictiveControlsIII(IBO)Time: Wednesday, 11/Jul/2018: 9:45am - 12:00pm · Location: 214 A&B A load prediction model based on ANN for model predictive control in HVAC Junhua Zhuang1, Yimin Chen2 1Beijing University of Civil Engineering and Architecture, China, People's Republic of; 2Drexel University. Philadelphia, PA 19104，USA; zhuangjh@bucea.edu.cn Model Predictive Control Of Inverter Air Conditioners Responding to Real-Time Electricity Prices In Smart Grids Maomao Hu, Fu Xiao The Hong Kong Polytechnic University, Hong Kong S.A.R. (China); linda.xiao@polyu.edu.hk Optimal Dispatch Controller For Fuel Cell Integrated Building Yashen Lin1, Dustin McLarty2, Annabelle Pratt1, Brian Ball1, Gregor Henze1,3, Genevieve Saur1 1National Renewable Energy Laboratory, United States of America; 2School of Mechanical and Materials Engineering, Washington State University; 3Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder; yashen.lin@nrel.gov A Case Study of Economic Optimization of HVAC Systems based on the Stanford University Campus Airside and Waterside Systems Nishith R. Patel1, Michael J. Risbeck1, James B. Rawlings1, Christos T. Maravelias1, Michael J. Wenzel2, Robert D. Turney2 1University of Wisconsin-Madison, United States of America; 2Johnson Controls, Inc., United States of America; nishith.patel@wisc.edu

An Economic Model Predictive Control Framework for Distributed Embedded Battery Applications Nishith R. Patel1, James B. Rawlings1, Matthew J. Ellis2, Michael J. Wenzel2, Robert D. Turney2 1University of Wisconsin-Madison, United States of America; 2Johnson Controls, Inc., United States of America; nishith.patel@wisc.edu A Python-Based Toolbox for Model Predictive Control Applied to Buildings Javier Arroyo1,2, Bram Van Der Heijde1,2,3, Lieve Helsen1,2, Alfred Spiessens1,2,3 1KU Leuven, Belgium; 2EnergyVille, Belgium; 3VITO, Belgium; javier.arroyo@kuleuven.be State Observer for Optimal Control using White-box Building Models Iago Cupeiro Figueroa1,2, Ján Drgoňa1, Lieve Helsen1,2 1KU Leuven, Belgium; 2EnergyVille, Belgium; iago.cupeirofigueroa@kuleuven.be

R-18:HVAC&REquipmentFaultImpacts&Diagnostics(IBO)Time: Wednesday, 11/Jul/2018: 9:45am - 12:00pm · Location: 218 A&B An Innovative Fault Detection Algoritm for Temperature Sensors of Household Refrigerators Everton Machado, Alexsandro dos Santos Silveira, Alexandre Trofino Neto, Claudio Melo Federal University of Santa Catarina, Brazil; melo@polo.ufsc.br Non-Intrusive Performance Assessment Method For Heat Pumps: Experimental Validation And Robustness Evaluation Facing Faults Derek Noël12, Cédric Teuillières1, Philippe Rivière2, Odile Cauret1, Dominique Marchio2 1EDF R&D, Energy Efficiency Research & Technology Department, Avenue des Renardières, 77250, Ecuelles, France; 2Mines ParisTech, PSL Research University, 60 Boulevard Saint-Michel, 75006, Paris, France; derek.noel@edf.fr Thermoeconomic Diagnosis Of Air Conditioning Systems: Experimental Assessment Of Performance And New Developments For Improved Reliability Pietro Catrini1, James E. Braun2, Antonio Piacentino1, Andrew L. Hjortland2, Akash Patil2 1University of Palermo, Dpt. of Energy, Information Engineering and Mathematical Model, Italy; 2Purdue University, Herrick Laboratory, United States of America; catrinipietro@gmail.com Economic Effectiveness of Air Side Economizers on Small Rooftop Units Considering Possible Operating Faults Moh'd-Eslam Dahdolan, David Yuill University of Nebraska-Lincoln, United States of America; mdahdolan@unomaha.edu

Artificial Neural Networks for Fast Rooftop Unit Fault Impact Modeling and Simulation Andrew L Hjortland, James E Braun Purdue University, United States of America; andrew.hjortland@gmail.com Comparing Maintenance Strategies for Rooftop Units having Multiple Faults through Simulation Andrew L Hjortland, James E Braun Purdue University, United States of America; andrew.hjortland@gmail.com Numerical Simulation of Fault Impacts for Commercial Walk-in Freezers Alireza Behfar, David Yuill University of Nebraska - Lincoln, United States of America; abehfar@unomaha.edu

B-13:Data-DrivenModelingandDiagnostics(IBO)Time: Wednesday, 11/Jul/2018: 1:00pm - 3:00pm · Location: 214 A&B Parameters Optimization for Central Cooling Plants of Central Air-conditioning System on Association Rules Analysis for Energy Conservation Xuan Zhou1, Bingwen Wang1, Liequan Liang2, Junwei Yan1, Dongmei Pan1 1South China University of Technology, China, People's Republic of; 2Guangdong University of Finance & Economics, China, People's Republic of; zhouxuan@scut.edu.cn Apply Active Learning in Short-term Data-driven Building Energy Modeling Liang Zhang Drexel University, United States of America; lz356@drexel.edu Machine-Learning Model of Electric Water Heater for Electricity Consumption Prediction Jin Dong, Jeffrey Munk, Borui Cui, Philip R. Boudreaus, Teja Kuruganti Oak Ridge National Laboratory, United States of America; dongj@ornl.gov A Data-driven Approach towards Integration of Microclimate Conditions for Predicting Building Energy Performance Soumik Sarkar1, Linjiang Wu1, Venkatesh Chinde1, Himanshu Sharma1, Ulrike Passe2 1Department of Mechanical Engineering, Iowa State University, United States of America; 2Department of Architecture, Iowa State University, United States of America; soumiks@iastate.edu Common Faults and Their Prioritization in Small Commercial Buildings Janghyun Kim1, Jie Cai2, James E. Braun1 1Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue University, 140 S. Martin Jischke Dr., West Lafayette, IN 47907, USA; 2Aerospace and Mechanical Engineering, The University of Oklahoma Felgar Hall, Rm. 212, 865 Asp Ave., Norman, OK 73019, USA; kim1302@purdue.edu Bayesian Networks for Whole Building Level Fault Diagnosis and Isolation Yimin Chen1,2, Jin Wen1 1Drexel University, United States of America,; 2Beijing University of Civil Engineering and Architecture, Beijing，China; yc596@drexel.edu Leveraging Intelligent Building Infrastructure for Event Response Timothy Wagner, Russell Taylor UTRC; wagnertc@utrc.utc.com

R-22:AdvancedEquipmentControlsI(IBO)Time: Wednesday, 11/Jul/2018: 1:00pm - 3:00pm · Location: 218 A&B Economic Model Predictive Control for Variable Refrigerant Systems Brett Lenhardt Johnson Controls Inc., United States of America; brett.m.lenhardt@jci.com Experimental Verification of Dual Sensing Energy Control 2 Logic of VRF System Through Field Test Hyeongjun Kim1, Byungchae Min1, Gyungmin Choi1, Seungjin Shin2, Seungjun Lee2, Sedong Jang2 1Pusan National University, Korea, Republic of (South Korea); 2LG Electronics; kimhyeongjun@pusan.ac.kr Demand-Response Control of RTUs Rafik Sarhadian Southern California Edison, United States of America; rafik.sarhadian@sce.com

Comparing Realtime Energy-Optimizing Controllers for Heat Pumps Daniel J. Burns1, Scott A. Bortoff1, Martin Guay2, Christopher R. Laughman1 1Mitsubishi Electric Research Laboratories, United States of America; 2Queen's University, Canada; burns@merl.com

Extremum Seeking Control for An Air-source Heat Pump Water Heating System with Flash Tank Cycle based Vapor Injection Wenyi Wang1, Yaoyu Li2 1University of Texas at Dallas, United States of America; 2University of Texas at Dallas, United States of America; wxw161230@utdallas.edu A New Constant Air Volume Flow Regulation Method for Blowers Used in HVAC&R Systems Bin Yang, Brian Beifus, Roger Becerra Regal Beloit Corporation, United States of America; bin.yang@regalbeloit.com Feasibility Study of Extremum Seeking Controller Applied to a Variable-Speed Rooftop Unit Donghun Kim1, Andrew L Hjortland1, Timothy I Salsbury2, Kirk H Drees2, John M House2, James E Braun1 1Purdue University, United States of America; 2Johnson Controls, United States of America; kim1077@purdue.edu

Model-free Control and Automatic Staging of Variable Refrigerant Flow System with Multiple Outdoor Units Liujia Dong1, Yaoyu Li1, Timothy Salsbury2, John House2 1University of Texas at Dallas, United States of America; 2Building Technologies & Solutions Research Group, Johnson Controls International PLC, United States of America; lxd122030@utdallas.edu

B-15:Grid-ResponsiveSystemsandControlsII(IBO)Time: Wednesday, 11/Jul/2018: 3:30pm - 5:30pm · Location: 214 A&B Design energy flexibility for Italian residential buildings Alice Mugnini1, Fabio Polonara1, Alessia Arteconi2 1Università Politecnica delle Marche, Italy; 2Università eCampus, Italy; alessia.arteconi@uniecampus.it Building Flexibility Estimation and Control for Grid Ancillary Services Veronica Adetola, Fu Lin, Shui Yuan, Haydeen Reeve United Technologies Research Center, United States of America; adetolva@utrc.utc.com Integrating Connected Loads to Provide Grid Balancing and Distribution Support Peng Zhao, Ben Clarin, Ram Narayanamurthy, Viswanath Ananth, Sunil Chhaya Electric Power Research Institute, United States of America; pzhao@epri.com Using HVAC Systems for Providing Power Grid Ancillary Services Jie Cai1, James E. Braun2 1University of Oklahoma, United States of America; 2Purdue University, United States of America; jcai@ou.edu

R-26:AdvancedEquipmentControlsII(IBO)Time: Wednesday, 11/Jul/2018: 3:30pm - 5:30pm · Location: 218 A&B Dynamic Optimal Control of a CO2 Heat Pump Coupled with Hot and Cold Thermal Storages Fang Liu Shanghai University of Electric Power, China, People's Republic of; fangliu_shiep@163.com A Control Platform Based On Internet Of Things For Commercial Refrigeration Günter Johann Maass Embraco, Brazil; gunter.j.maass@embraco.com Extreme Seeking Control in VRF Outdoor Unit Energy Optimization Liming Yang, Yunrui Wang Johnson Controls, United States of America; yunrui.wang@jci.com Feasibility of Controlling Heat and Enthalpy Wheel Effectiveness to Achieve Optimal Closed DOAS Operation Omer Sarfraz1, Peter Armstrong2, Christian Bach1 1Oklahoma State University, United States of America; 2Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates; sarfraz@okstate.edu Experimental Evaluation for an Extremum Seeking Control Strategy based on Input-output Correlation with a Mini-split Air Conditioning System Zhongfan Zhao1, Timothy I. Salsbury2, John M. House3, Yaoyu Li4 1University of Texas at Dallas, United States of America; 2Johnson Controls, Inc.; 3Johnson Controls, Inc.; 4University of Texas at Dallas, United States of America; zxz124130@utdallas.edu

Control-Oriented Comparison of Heating and Cooling Mode Dynamics of Multi-Zone Air-Source Vapor Compression Cycles Christopher R. Laughman, Hongtao Qiao, Daniel J. Burns, Scott A. Bortoff Mitsubishi Electric Research Laboratories, United States of America; laughman@merl.com

An Integrated Solution Enabling Low Superheat Operation for Improved Performance in Reversible Chiller Systems Abhinav Krishna, Eric Winandy, Stephane Bertagnolio Emerson Climate Technologies GmbH, Germany; Abhinav.Krishna@Emerson.com Near-Optimal Supply Air Temperature Resetting Strategy for Variable-Speed Rooftop Units (RTUs) Jie Cai1, James E. Braun2 1University of Oklahoma, United States of America; 2Purdue University, United States of America; jcai@ou.edu

B-17:BuildingControlStrategies(IBO)Time: Thursday, 12/Jul/2018: 9:45am - 12:00pm · Location: 214 A&B Simulation Assessment of a Near-Optimal Control Algorithm for Central Cooling Plants with Chilled Water Storage Rita Cristina Jaramillo, James E. Braun, W. Travis Horton Purdue University; rjaramil@purdue.edu

Simulation Assessment of a Near-Optimal Control Algorithm for Central Cooling Plants with Electric and/or Gas-Driven Chillers Rita Cristina Jaramillo, James E. Braun, W. Travis Horton Purdue University; rjaramil@purdue.edu

Energy Optimization of an In-Service Commercial Building Chiller Plant via Extremum Seeking Control Hoang Dung Vu1, Bryan David Keating2, Andrew George Alleyne3, Kok Soon Chai4 1Kaer Pte. Ltd., Singapore; 2Moog Inc., United States of America; 3University of Illinois, United States of America; 4Kaer Pte. Ltd., Singapore; bryandavidkeating@gmail.com

Assessment of Different Reinforcement Learning Control Algorithms for Intelligent Building Controls Yanfei Li, Zheng O'Neill The University of Alabama, United States of America; yli207@crimson.ua.edu

Distributed Optimization Approach for Combined Cooling, Heating and Power Plant Operation Sugirdhalakshmi Ramaraj, Donghun Kim, James E. Braun Purdue University, United States of America; sramaraj@purdue.edu

Econometric and Environmental Optimization of Combined Cooling, Heating and Power Plant Operatio Sugirdhalakshmi Ramaraj, James E. Braun, W. Travis Horton Purdue University, United States of America; sramaraj@purdue.edu

Integrated Control of Multi-Zone Buildings with Ventilation and VRF systems in Cooling Mode Christopher R. Laughman, Hongtao Qiao, Scott A. Bortoff, Daniel J. Burns Mitsubishi Electric Research Laboratories, United States of America; laughman@merl.com