Philip Haves

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Peng Xu (许鹏）Tongji UniversityVerified email at tongji.edu.cn
Mary Ann PietteLBNLVerified email at lbl.gov
Michael WetterLBNL, Berkeley, CAVerified email at lbl.gov
Brian CoffeyIndependentVerified email at lbl.gov
Simon ReesProfessor of Building Energy Systems, Civil Engineering, University of LeedsVerified email at leeds.ac.uk
Timothy SalsburyPacific Northwest National laboratoryVerified email at pnnl.gov
Brandon HenceyAir Force Research LaboratoriesVerified email at us.af.mil
Francesco BorrelliProfessor of Controls, UC Berkeley, CAVerified email at berkeley.edu
Yudong MaUniversity of California at BerkeleyVerified email at berkeley.edu
Qingyan ChenHong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Zheng D. O'Neill, PhD, PETexas A&M UniversityVerified email at tamu.edu
Guilherme Carrilho da GraçaAssociate Professor University of LisbonVerified email at fc.ul.pt
James O'DonnellUniversity College Dublin, IrelandVerified email at ucd.ie
John ZhaiUniversity of Colorado at BoulderVerified email at colorado.edu
Jonathan WrightSchool of Architecture, Building and Civil Engineering, Loughborough UniversityVerified email at lboro.ac.uk
Madhusudana ShashankaFounder and Chief Scientist, ConcentricVerified email at concentric.ai
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Jeffrey SpitlerRegents Professor and OG&E Chair of Mechanical and Aero. Eng., Oklahoma State UniversityVerified email at okstate.edu
Paul MathewLawrence Berkeley National LaboratoryVerified email at lbl.gov
David E. ClaridgeTexas A&M UniversityVerified email at tamu.edu

Philip Haves

Lawrence Berkeley National Laboratory

Verified email at lbl.gov

Building simulation building controls building commissioning automated diagnositics for buildings empirical validation of bu


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Model predictive control for the operation of building cooling systems Y Ma, F Borrelli, B Hencey, B Coffey, S Bengea, P Haves IEEE Transactions on control systems technology 20 (3), 796-803, 2011	853	2011
On approaches to couple energy simulation and computational fluid dynamics programs Z Zhai, Q Chen, P Haves, JH Klems Building and Environment 37 (8-9), 857-864, 2002	375	2002
Analysis of an information monitoring and diagnostic system to improve building operations MA Piette, SK Kinney, P Haves Energy and Buildings 33 (8), 783-791, 2001	239	2001
A framework for simulation-based real-time whole building performance assessment X Pang, M Wetter, P Bhattacharya, P Haves Building and Environment 54, 100-108, 2012	189	2012
Advanced sensors and controls for building applications: Market assessment and potential R&D pathways MR Brambley, P Haves, SC McDonald, P Torcellini, D Hansen, ... EERE Publication and Product Library, Washington, DC (United States), 2005	187	2005
A modular building controls virtual test bed for the integrations of heterogeneous systems M Wetter	177	2008
Peak demand reduction from pre-cooling with zone temperature reset in an office building P Xu, P Haves, MA Piette, J Braun	177	2006
Efficient solution strategies for building energy system simulation EF Sowell, P Haves Energy and buildings 33 (4), 309-317, 2001	142	2001
SinModel: a domain data model for whole building energy simulation J O'Donnell, R See, C Rose, T Maile, V Bazjanac, P Haves	131	2011
An experimental study of air flow and temperature distribution in a room with displacement ventilation and a chilled ceiling SJ Rees, P Haves Building and Environment 59, 358-368, 2013	127	2013
Condition monitoring in HVAC subsystems using first principles models P Haves, TI Salsbury, JA Wright © American Society of Heating, Refrigerating and Air-Conditioning Engineers …, 1996	122	1996
Application of machine learning in the fault diagnostics of air handling units M Najafi, DM Auslander, PL Bartlett, P Haves, MD Sohn Applied Energy 96, 347-358, 2012	110	2012
Model-based real-time whole building energy performance monitoring and diagnostics Z O’Neill, X Pang, P Haves, M Shashanka, T Bailey Automated Diagnostics and Analytics for Buildings, 205-225, 2021	100	2021
A nodal model for displacement ventilation and chilled ceiling systems in office spaces SJ Rees, P Haves Building and Environment 36 (6), 753-762, 2001	92	2001
Modeling and simulation of HVAC faults in EnergyPlus X Basarkar, Mangesh, Pang, L Wang, P Haves, T Hong	87	2011
Strategies for coupling energy simulation and computational fluid dynamics programs Z Zhai, Q Chen, JH Klems, P Haves	76	2001
Comparison of chiller models for use in model-based fault detection P Sreedharan, P Haves	75	2001
A standard simulation test bed for the evaluation of control algorithms and strategies P Haves, LK Norford, M DeSimone ASHRAE transactions 104, 460, 1998	75	1998
A robust self-tuning predictive controller for HVAC applications AL Dexter, P Haves ASHRAE Transactions (American Society of Heating, Refrigerating and Air …, 1989	69	1989
Towards a very low-energy building stock: modelling the US commercial building sector to support policy and innovation planning B Coffey, S Borgeson, S Selkowitz, J Apte, P Mathew, P Haves Building Research & Information 37 (5-6), 610-624, 2009	65	2009

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