Building Energy and HVAC&R Research Group

Publications

Google Scholar Profile

Book Chapters

  1. O’Neill, Z. D., X. Pang, M. Shashanka, P. Haves and T. Bailey. 2014. Model-Based Real-time Whole Building Energy Performance Monitoring and Diagnostics, Chapter 20.Automated Diagnostics and Analytics for Buildings, B.L. Capehart and M.R. Brambley, eds., The Fairmont Press, Lilburn, Georgia.

 

Refereed Journal Publications (87)

  1. Pang, Z., Z. O’Neill, Y. Chen, J.  Zhang, H’ Cheng, B. Dong. 2023. Adopting Occupancy-Based HVAC Controls in Commercial Building Energy Codes: Analysis of Cost-Effectiveness and Decarbonization Potential. Applied Energy. 349 (2023): 121594. https://doi.org/10.1016/j.apenergy.2023.121594
  2. Liu, Y., B. Dong, T. Hong, B. Olesen, T. Lawrence, Z. O’Neill. 2023.  ASHRAE URP-1883: Development and Analysis of the ASHRAE Global Occupant Behavior Database. Science and Technology for the Built Environment, DOI: 10.1080/23744731.2023.2235971.
  3. Choi, Y., X. Lu., Z. O’Neill, F. Feng and T. Yang, 2023. Optimization-informed Rule Extraction for HVAC system: A Case Study of Dedicated Outdoor Air System Control in a Mixed-Humid Climate Zone. Energy and Buildings, p.113295.
  4. Li, H., H. Johra, F. de Andrade Pereira, T. Hong, J. Le Dréau, A. Maturo, M. Wei, Y. Liu, A. Saberi-Derakhtenjani, Z. Nagy, A. Marszal-Pomianowska, D.  Finn, S. Miyata, K. Kaspar, K. Nweye, Z. O’Neill; F. Pallonetto and B. Dong. 2023. Data-driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives. Applied Energy, 343, p.121217.
  5. Pang, Z., X. Lu, P. Hu, Z. O’Neill, and Q. Wang.  SIREN–Smart Ventilation for Infection Risk Mitigation and HVAC Energy Efficiency: A Case Study Amid the COVID-19 Pandemic.” Journal of Building Performance Simulation (2023): 1-29.
  6. Nagy, Z., B. Gunay, C. Miller, J. Hahn, M. Ouf, S. Lee, B. W. Hobson et al. 2023. Ten Questions Concerning Occupant-centric Control and Operations.” Building and Environment (2023): 110518.
  7. Chen, Z., Z. O’Neill, J. Wen, O. Pradhana, T. Yang, X. Lu, G.  Lin, S.  Miyatad, S. Lee, C. Shen, R. Chiosa, M. S. Piscitelli, A. Capozzo1li, F. Hengel, A. Kührer, M. Pritoni, W. Liu, J. Clauß, Y. Chen and T. Herr. 2023. A Review of Data-driven Fault Detection and Diagnostics for Building HVAC Systems. Applied Energy. https://doi.org/10.1016/j.apenergy.2023.121030
  8. Pang, Z., M. Koolbeck, X. Zhou and Z. O’Neill*. 2023. ASHRAE RP-1814: Actual Energy Performance of Secondary Schools Designed to Comply with ASHRAE 90.1-2010, Part I – Energy Use and Cost Indices Comparison. Science and Technology for the Built Environment. https://doi.org/10.1080/23744731.2023.2194839
  9. Lu, X., Y. Fu and Z. O’Neill*. 2023. Performance Comparison of HVAC High-Performance Sequences of Operation and Intelligent Controllers: A Case Study in a Multi-zone Variable Air Volume System.  Energy and Buildings.  https://doi.org/10.1016/j.enbuild.2023.112854
  10. Fu, Y., S. Xu. Q. Zhu, Z. O’Neill* and V. Adetola. 2023. How Good Are Learning-based Control v.s. Model-based Control for Load Shifting? Investigations on A Single Zone Building Energy System. Energy. https://doi.org/10.1016/j.energy.2023.127073
  11. Li. G., L. Ren, Y. Fu, Z. Yang, V. Adetola, J. Wen, Q. Zhu, T. Wu, K. S. Candan, Z. O’Neill*. 2023. A Critical Review of Cyber-Physical Security for Building Automation Systems. Annual Reviews in Controls. https://doi.org/10.1016/j.arcontrol.2023.02.004
  12. Huang, J., H. Yoon, T. Wu, K. S Candan, O. Pradhan, J. Wen and Z. O’Neill. 2022 Eigen-Entropy: A metric for multivariate sampling decisions. Energy and Buildings.   Information Sciences. 619: 84-97. https://doi.org/10.1016/j.ins.2022.11.023
  13. O’Neill, Z. * and J. Wen. 2022. Artificial Intelligence in Smart Buildings. Science and Technology for the Built Environment. 28:9, 1115. https://doi.org/10.1080/23744731.2022.2125209  (Editorial as Editor of Special Issue)
  14. Feng, F., Y. Fu, Z. Yang and Z. O’Neill*. 2022. Enhancement of Phase Change Material Hysteresis Model: A Case Study of Modeling Building Envelope in EnergyPlus. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2022.112511
  15. Pang, Z., X. Lu and Z. O’Neill*. 2022. Quantification of How Mechanical Ventilation Influences the Infection Risk of COVID-19 and HVAC Energy Consumption in Office Buildings. Building Simulation: An International Journal. https://doi.org/10.1007/s12273-022-0937-5
  16. Lu, X., Z. Pang, Y. Fu and Z. O’Neill*. 2022.  Advances in Research and Applications of CO2-based Demand-Controlled Ventilation in Commercial Buildings: A Critical Review of Control Strategies and Performance Evaluation. Building and Environment.  https://doi.org/10.1016/j.buildenv.2022.109455
  17. Dong, B. Y. Liu, W. Mu, Z. Jiang, P. Pandey, T. Hong, B. Olesen, T. Lawrence, Z. O’Neill, et al.  2022. A Global Building Occupant Behavior Database.  Natural Scientific Data. 9, 369 (2022). https://doi.org/10.1038/s41597-022-01475-3
  18. Huang, J., H. Yoon, O. Pradhan, T. Wu, J. Wen, Z. O’Neill, and K. S Candan. 2022. A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction. Science and Technology for the Built Environment. 28 (9), 1138-1149 https://doi.org/10.1080/23744731.2022.2080110
  19. Huang, J., J. Wen, H. Yoon, O. Pradhan, T. Wu, Z. O’Neill, and K. S Candan. 2022. Real vs. Simulated: Questions on The Capability of Simulated Datasets on Building Fault Detection for Energy Efficiency from A data-driven Perspective. Energy and Buildings. 259(2022), 111872 https://doi.org/10.1016/j.enbuild.2022.111872
  20. Lu, X., Z. Pang, Y. Fu and Z. O’Neill*. 2022. The Nexus of the Indoor CO2 Concentration and Ventilation Demands Underlying CO2-based Demand-Controlled Ventilation: A Critical Review. Building and Environment. https://doi.org/10.1016/j.buildenv.2022.109116
  21. Lu, X., S. Bhattacharya, H. Sharma, V. Adetola and Z. O’Neill. 2022. Sensor Impact Evaluation in Commercial Buildings: the Case of Occupancy-Centric Controls. Energy and Buildings. 267(2022): 112134. https://doi.org/10.1016/j.enbuild.2022.112134
  22. Ye, Z., Z. O’Neill, and Fei Hu. 2021. Hardware-Based Emulator with Deep Learning Model for Building Energy Control and Prediction Based on Occupancy Sensors’ Data. Information12, no. 12 (2021): 499.
  23. Zhang, R., M. Kong, B. Dong, Z. O’Neill, H. Cheng, F. Hu, and J. Zhang. 2021. Development of Testing and Evaluation Protocol for Occupancy Sensing Technologies in Building HVAC Control: A Case Study of People Counting Sensors. Building and Environment. https://doi.org/10.1016/j.buildenv.2021.108610
  24. Yang, T., A. Bandyopadhyay, Z. O’Neill, J. Wen and B. Dong. 2021. From Occupants to Occupants: A Review of the Occupant Information Understanding for Building HVAC Occupant-Centric Control. Building Simulation: An International Journal. https://doi.org/10.1007/s12273-021-0861-0.
  25. Pang, Z. , Y. Chen, J. Zhang, Z. O’Neill, H. Cheng, and B. Dong. 2021. Quantifying The Nationwide HVAC Energy Savings in Large Hotels: The Role of Occupant-Centric Controls. Journal of Building Performance Simulation. https://doi.org/10.1080/19401493.2021.1994650
  26. Wen, J., B. Becerik-Gerber, Z. O’Neill and S. Hoque. 2021. Well-being in the Built Environment. ASME Journal of Engineering for Sustainable Buildings and Cities (2021): 1-5. https://doi.org/10.1115/1.4052871
  27. Fu, Y., Z. O’Neill, J. Wen, A. Pertzborn, and S. Bushby. 2021. Utilizing Commercial Heating, Ventilating, and Air conditioning Systems to Provide Grid Services: A Review. Applied Energy (2021): 118133. https://doi.org/10.1016/j.apenergy.2021.118133
  28. Chu, Y., D. Mitra, Z. O’Neill and K. Cetin. 2021. Influential Variables Impacting the Reliability of Building Occupancy Sensor Systems: A Systematic Review and Expert Survey. Science and Technology for the Built Environment. https://doi.org/10.1080/23744731.2021.1993672
  29. Awada, M, B. Becerik-Gerber, S. Hoque, Z. O’Neill, G.Pedrielli, J. Wen and T. Wu. 2021. Occupant Health in Buildings: Impact of the COVID-19 Pandemic on the Opinions of Building Professionals and Implications on Research. Building and Environment. 207(2022): 108440. https://doi.org/10.1016/j.buildenv.2021.108440
  30. Kong, M. B. Dong, R. Zhang and Z. D. O’Neill. 2021. HVAC Energy Savings, Comfort and Air Quality for Occupancy-Based Control by Side-by-Side Experimental Study. Applied Energy. 306(2022): 11798.  https://doi.org/10.1016/j.apenergy.2021.117987
  31. Pang, Z. , B. Becerik-Gerber, S. Hoque, Z. D. O’Neill, G.Pedrielli, J. Wen and T. Wu. 2021. Occupant’s Well-being During Work from Home Under COVID-19 Pandemic: An International Survey. ASME The Journal of Engineering for Sustainable Buildings and Cities. (2021): 1-41. https://doi.org/10.1115/1.4052640
  32. Lu, X., Y. Fu., Z. D. O’Neill, and J. Wen. 2021. A Holistic Fault Impact Analysis of the High- Performance Sequences of Operation for HVAC Systems: Modelica-based Case Study in a Medium-Office Building. Energy and Buildings. 252 (2021): 111448. https://doi.org/10.1016/j.enbuild.2021.111448
  33. Fu, Y., Z. D. O’Neill, Z. Yang, V. Adetola, J. Wen, L. Ren, T. Wagner, Q. Zhu and T. Wu. 2021. Modeling and Evaluation of Cyber-Attacks on Grid-Interactive Efficient Buildings. Applied Energy. 303 (2021): 117639. https://doi.org/10.1016/j.apenergy.2021.117639
  34. Fu, Y., V. Adetola, Z. D. O’Neill. 2021. A Flexible and Generic Functional Mock-up Unit Based Threat Injection Framework for Grid-interactive Efficient Buildings: A Case Study in Modelica. Energy and Buildings (2021): 111263. https://doi.org/10.1016/j.enbuild.2021.111263
  35. Feng, F., N. Kunwar, K. Cetin, and Z. D. O’Neill. 2021. A Critical Review of Fenestration/Window System Design and Operation in Buildings. Energy and Buildings (2021): 111184. https://doi.org/10.1016/j.enbuild.2021.111184
  36. Li, Y., Z. D. O’Neill, L. Zhang, J.Chen and J. DeGraw. 2021. Grey-box modeling and application for building energy simulations – A critical review. Renewable and Sustainable Energy Reviews 146 (2021): 111174. https://doi.org/10.1016/j.rser.2021.111174
  37. Lu, X., V. Adetola and Z. D. O’Neill. 2021. What Are The Impacts on the HVAC system When It Provides Frequency Regulation? – A Comprehensive Case Study with a Multi-Zone Variable Air Volume (VAV) System. Energy and Buildings. 243(2021): 110995 https://doi.org/10.1016/j.enbuild.2021.110995
  38. Ye, Y., Y. Chen, J. Zhang, Z. Pang, Z. D. O’Neill, H. Cheng, and B. Dong. 2021. Energy-Saving Potential Evaluation for Primary Schools with Occupant-Centric Controls. 2021. Applied Energy. 293 (2021): 116854. https://doi.org/10.1016/j.apenergy.2021.116854
  39. Ye, Z., F. Hu, L. Zhang, Z. Chu and Z. D. O’Neill. 2021. A Low-Cost Experimental Testbed for Energy-Saving HVAC Control Based on Human Behavior Monitoring. International Journal of Cyber-Physical Systems (IJCPS). 2(1), 33-55. https://doi:10.4018/IJCPS.2020010103  
  40. Awada, M, B. Becerik-Gerber, S. Hoque, Z. D. O’Neill, G.Pedrielli, J. Wen, T. Wu. 2020. Ten Questions Concerning Occupant Health in Buildings during Normal Operations and the COVID-19 Pandemic. Building and Environment. 188 (2021): 107480. https://doi.org/10.1016/j.buildenv.2020.107480
  41. Pang, Z., Y. Chen, J. Zhang, Z. D. O’Neill, H. Cheng, and B. Dong. 2020. How Much HVAC Energy Could Be Saved from the Occupant-Centric Smart Home Thermostat: A Nationwide Simulation Study. Applied Energy. (2020): 116251. https://doi.org/10.1016/j.apenergy.2020.116251
  42. Lu, X., T. Yang, Z. D. O’Neill, X. Zhou and Z. Pang. 2020. Energy and Ventilation Performance Analysis for CO2-based Demand-Controlled Ventilation in Multiple-zone VAV Systems with Fan-Powered Terminal Units (ASHRAE RP-1819), Science and Technology for the Built Environment. 27 (2): 139-157. https://doi.org/10.1080/23744731.2020.1831318
  43. Pang, Z. , Y. Chen, J. Zhang, Z. D. O’Neill, H. Cheng, and B. Dong. 2020. Nationwide HVAC Energy-Saving Potential Quantification for Office Buildings with Occupant-Centric Controls in Various Climates. Applied Energy. 279 (2020): 115727 https://doi.org/10.1016/j.apenergy.2020.115727 .
  44. Pang, Z., Niu, F., and Z. D. O’Neill. 2020. Solar Radiation Prediction Using Recurrent Neural Network. Renewable Energy. 156 (2020):270-289. https://doi.org/10.1016/j.renene.2020.04.042
  45. Lu, X., F. Feng, Z. Pang, T. Yang, and Z. D. O’Neill. 2020. Extracting Typical Occupancy Schedules from Social Media (TOSSM) and Its Integration with Building Energy Modeling. Building Simulation: An International Journal. https://doi.org/10.1007/s12273-020-0637-y
  46. Lu. X., Y. Li, F. Niu and Z. D. O’Neill. 2020. A Novel Simulation-based Framework for Sensor Error Impact Analysis in Smart Building Systems: A Case Study for a Demand-Controlled Ventilation System. Applied Energy. 263 (2020). https://doi.org/10.1016/j.apenergy.2020.114638
  47. Pang, Z., Z. D. O’Neill, Y. Li and F. Niu. 2019. Rethinking the Role of Sensitivity Analysis (SA) in The Building Energy Assessment: Retrospect and Prospect. Energy and Buildings. 209 (2019)  https://doi.org/10.1016/j.enbuild.2019.109659
  48. Li, Y. and Z. D. O’Neill. 2019. An Innovative Fault Impact Analysis Framework for Enhancing Building Operations. Energy and Buildings. 199 (2019):311-331. https://doi.org/10.1016/j.enbuild.2019.07.011
  49. Dong, B., V. Prakash, F. Feng and Z. D. O’Neill. 2019. A Review of Smart Building Sensing System for Better Indoor Environment Control. Energy and Buildings. 199 (2019):29-46. https://doi.org/10.1016/j.enbuild.2019.06.025
  50. O’Neill, Z. D., Y. Li, H. Cheng, X. Zhou and S. Taylor. 2019. Energy Savings and Ventilation Performance from CO2-based Demand Controlled Ventilation: Simulation Results from ASHRAE RP-1747. (ASHRAE RP-1747). Science and Technology for the Built Environment. 26 (2): 257-281. https://doi.org/10.1080/23744731.2019.1620575
  51. Qian, D., Y. Li, F. Nu and Z. D. O’Neill. 2019. Nationwide Savings Analysis of a Variety of Energy Conservation Measures with Large Scale Simulations. Energy Conversion and Management. 188 (2019): 1-18. https://doi.org/10.1016/j.enconman.2019.03.035
  52. Wang, L., X. Zhou and Z. D. O’Neill. 2018. Assessing the Validity, Reliability, and Practicality of ASHRAE’s Performance Measurement Protocol (1702-RP). Science and Technology for the Built Environment. https://doi.org/10.1080/23744731.2018.1561075
  53. Liu, R., Y. Li, Z. D. O’Neill and X. Zhou. 2018. Development Control Quality Factor for HVAC Control Loop Performance Assessment II: Field Testing and Results (1587-RP). Science and Technology for the Built Environment. https://doi.org/10.1080/23744731.2019.1576458
  54. Li, Y. and Z. D. O’Neill. 2018. Development of Control Quality Factor for HVAC Control Loop Performance Assessment I: Methodology (1587-RP). Science and Technology for the Built Environment. https://doi.org/10.1080/23744731.2018.1556055
  55. Pang, Z. and Z. D. O’Neill. 2018. Uncertainty Quantification and Sensitivity Analysis of The Domestic Hot Water Usage in Hotels. Applied Energy. 232 (2018):424-442. https://doi.org/10.1016/j.apenergy.2018.09.221
  56. Li Y.  and Z. D. O’Neill. 2018. A Critical Review of Fault Modeling of HVAC Systems in Buildings, Building Simulation: An International Journal. https://doi.org/10.1007/s12273-018-0458-4. -Invited Paper: 10 Years Anniversary.
  57. Pang Z., X. Peng, Z. D. O’Neill, et al. 2018. Application of Mobile Positioning Occupancy Data for Building Energy Model Calibration: An Engineering Case Study. Building and Environment. 141: 1-15.
  58. Zhou, S., Z. D. O’Neill and C.R. O’Neill. 2018. A Review of Leakage Detection Methods for District Heating Networks. Applied Thermal Engineering. 137(2018):567-574. https://doi.org/10.1016/j.applthermaleng.2018.04.010
  59. Carpenter, J., K. A. Woodbury, and Z. D. O’Neill. 2018. Using Change-Point and Gaussian Process Models to Create Baseline Energy Models in Industrial Facilities: A Comparison. Applied Energy. 213:415-425. https://doi.org/10.1016/j.apenergy.2018.01.043
  60. Niu, F., Z. D. O’Neill and C.R. O’Neill. 2018. Data-Driven Based Estimation of HVAC Energy Consumption with An Improved Fourier Series Decomposition in a University Dormitory. https://doi.org/10.1007/s12273-018-0431-2 . Building Simulation: An International Journal.
  61. Golden, A., K. A. Woodbury, J. Carpenter and Z. D. O’Neill. 2017. Change Point and Degree Day Baseline Regression Models in Industrial Facilities. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2017.03.024
  62. O’Neill, Z. D. and Niu. 2017. Uncertainty and Sensitivity Analysis of Spatio-temporal Occupant Behaviors on Residential Building Energy Performance Utilizing Karhunen-Loève Expansion. Building and Environment. 115 (2017): 157-172. http://dx.doi.org/10.1016/j.buildenv.2017.01.025
  63. Cetin, K. S. and Z. D. O’Neill. 2017. Smart Meters and Smart Devices in Buildings: A Review of Recent Progress & Their Influence on Electricity Use and Peak Demand. Current Sustainable/Renewable Energy Reports. 4(1):1-7. https://doi.org/10.1007/s40518-017-0063-7
  64. O’Neill, Z. D., Li and K. Williams. 2016. HVAC Control Loop Performance Assessment: A Critical Review (1587-RP).  Science and Technology for the Built Environment. 23(4): 619-636. http://dx.doi.org/10.1080/23744731.2016.1239466
  65. Chaudhary, G., J. New, J. Sanyal, P. Im, Z. D. O’Neill and V.l Garg. 2016. Evaluation of “Autotune” Calibration against Manual Calibration of Building Energy Models. Applied Energy. 82:115-134. http://dx.doi.org/10.1016/j.apenergy.2016.08.073
  66. Niu, F., X. Liu and Z. D. O’Neill. 2016. Model-Based Energy Comparison Performance Analysis of Pumping System performance with Different Control Logics. ASHRAE Transactions.122 (2): 173-185.
  67. Zhang, D., S. Li, M. Sun and Z. D. O’Neill. 2016. An Optimal and Learning-Based Demand Response and Home Energy Management System. IEEE Transactions on Smart Grid. 7(4): 1790-1801.
  68. O’Neill, Z. D. and C. R. O’Neill. 2016. Development of a Probabilistic Model for Estimating Building Energy Performance. Applied Energy. 164 (2016) 650–658. doi.org/10.1016/j.apenergy.2015.12.015.
  69. Li, P., D. Vrabie, D. Li, S. Bengea, S. Mijanovic and Z. D. O’Neill. 2015. Simulation and Experimental Demonstration of Model Predictive Control in a Building HVAC System. Science and Technology for the Built Environment. 21(6):721-732. DOI: 10.1080/23744731.2015.1061888.
  70. Zhang, Y., Z. D. O’Neill, B. Dong and G. Augenbroe. 2015. Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance. Building and Environment. 86 (2015): 177-190. doi:10.1016/j.buildenv.2014.12.023.
  71. O’Neill, Z.D. and S. Narayanan. 2014. Model Based Estimation of Cold Room Temperatures in Supermarket Refrigeration System. Applied Thermal Engineering. 73(2014):819-830 DOI: 10.1016/j.applthermaleng.2014.08.038.
  72. Dong B., Z. D. O’Neill, D Luo and T. Bailey. 2014. Development and Calibration of an On-line Energy Model for Campus Buildings. Energy and Buildings. Volume (76):316-327. DOI: 10.1016/j.enbuild.2014.02.064.
  73. Dong B., Z. D. O’Neill and Z. Li. 2014. A BIM Enabled Information Infrastructure for Building Energy Fault Detection and Diagnostics. Automation in Construction. Volume (44):197-211. (IF: 2.919)
  74. O’Neill, Z. D., X. Pang, M. Shashanka, P. Haves and T. Bailey. 2014. Model-Based Real-time Whole Building Energy Performance Monitoring and Diagnostics. Journal of Building Performance Simulation. 7(2):83-89. DOI:10.1080/19401493.2013.777118.
  75. Li, S., D. Zhang, A. Roget and Z. D. O’Neill. 2013. Integrating Home Energy Simulation and Dynamic Electricity Price for Demand Response Study. IEEE Transactions on Smart Grid. Volume PP(99): 1-10. DOI: 10.1109/TSG.2013.2279110.
  76. O’Neill, Z. D., T. Bailey, B. Dong, M, Shashanka and D. Luo. 2013. Advanced Building Energy Management Systems Demonstration for Department of Defense Buildings. Annals of the New York Academy of Sciences. 1295(2013):44-53. DOI 10.1111/nyas.12188.
  77. O’Neill, Z. D. and B. 2013. Leveraging the Analysis of Parametric Uncertainty for Building Energy Model Calibration. Building Simulation: An International Journal. 6(4):365-377.DOI 10.1007/s12273-013-0125-8. (Best Paper Award for 2013)
  78. Dong B., M. Gorbounov, S. Yuan, T. Wu, A. Srivastav, T. Bailey and Z. D. O’Neill. 2013. Integrated Energy Performance Modeling for A Retail Store Building. Building Simulation: An International Journal. DOI: 10.1007/s12273-013-0109-8.
  79. Sun, B., P. Luh, Q. Jia, Z. D. O’Neill and F. Song. 2013. Building Energy Doctors: An SPC and Kalman Filter-based Method for System-Level Fault Detection in HVAC Systems. IEEE Transactions on Automation Science and Engineering. 99: 1-15. DOI: 10.1109/TASE.2012.2226155
  80. Eisenhower, B., Z. D. O’Neill, S. Narayanan, V. A. Fonoberov and I. Mezic´. 2012. A Methodology for Meta-model Based Optimization in Building Energy Models. Energy and Buildings. 47:292-302 DOI:10.1016/j.enbuild.2011.12.001.
  81. Eisenhower, B., Z. D. O’Neill, V. Fonoberov and I. Mezic´. 2012. Uncertainty and Sensitivity Decomposition of Building Energy Models. Journal of Building Performance Simulation. 5(3): 171-184. DOI: 10.1080/19401493.2010.549964.
  82. Sun, B., P. Luh and Z. D. O’Neill. 2011. SPC and Kalman Filter-based Fault Detection and Diagnosis for an Air-cooled Chiller. Frontiers of Electrical and Electronic Engineering in China, 6(3):412-423.DOI: 10.1007/s11460-011-0164-9.
  83. O’Neill, Z. D. and J. D. Spitler. 2006. Performance Analysis of Single U-tube and Standing Column Well Ground Heat Exchangers. ASHRAE Transactions, 112(2): 633–643.
  84. Deng, Z., J. Rees and J. D. Spitler. 2005. A Model for Annual Simulation of Standing Column Well Ground Heat Exchangers. HVAC&R Research, Vol. (11)4:637–655.
  85. Orio, C. D., C.N. Johnson, S. J. Rees, Z. Deng and J. D. Spitler. 2005. A Survey of Standing Column Well Installation in North America. ASHRAE Transactions, 111(2): 109–121.
  86. Rees, S. J., Z. Deng and J. D. Spitler. 2004. A Study of Geothermal Heat Pump and Standing Column Well Performance. ASHRAE Transactions, 110(1):3–13.
  87. Deng, Z. and Q, Li 1999. Performance Analysis of Heat Reclaim Ventilation System. Building Energy & Environment. Vol. 18.

 

Refereed Conference Publications (101)

  1. Pang, Z., B. Smith-Cortez, Z. Yang and Z. O’Neill. 2023. Field Testing of the Energy-Saving Potential of an Occupancy Presence Sensing System in an Apartment Unit (TA-23-C001). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  2. Chen, Z., Y. Li, J. Wen, A. Pertzborn, W.V. Payne, G. Grajewski, L.C. Lo and Z. O’Neill, S. Bushby. 2023. A Simulation Framework for Analyzing the Impact of Stochastic Occupant Behaviors on Demand Flexibility in Typical Commercial Buildings (TA-23-C004). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  3. Choi, Y., Z. O’Neill and S. Yang. 2023. Potentials of Direct Air Capture (DAC) of CO2 in a Dedicated Outside Air System (DOAS) (TA-23-A001). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  4. Wei, M., F. Feng, M. Liu, Y. Fu, Z. Yang and Z. O’Neill. 2023. Data-Driven Model to Capture Building Dynamics during Different Patterns of Power Outages (TA-23-C031). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  5. Choi, Y.,  X. Lu, Z. O’Neill and Z. Pang. 2023. Modeling and Simulation of Dedicated Outdoor Air System (DOAS) with a Passive Desiccant Wheel: A Case Study in EnergyPlus (TA-23-C037). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  6. Smith-Cortez, B.,  Z. Yang and Z. O’Neill. 2023. Demonstrations of Geo-Fencing Occupancy-Based Control in Smart and Connected Homes (TA-23-A007). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  7. Firsich T. and Z. O’Neill. 2023. Leveraging IOT Retrofits to Integrate Existing Buildings into the Realm of Smart Homes (TA-23-A008). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  8. Liu, M., Y. Fu and Z. O’Neill. 2023. Model Free Control for Non-Uniform Indoor Environment Using Reinforcement Learning (TA-23-A013). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  9. Jia, W., Z. Yang, M. Liu, Y. Fu and Z. O’Neill. 2023. Model-Based Characterization of Heat Pump – Energy Storage Systems for Grid-Interactive Services (TA-23-C096). 2023 ASHRAE Annual Conference. Tampa, FL, June 24-28, 2023.
  10. Yang, T., Z. O’Neill, R. Kimball, J. Wen, Y. Fu. 2023. An Adaptive Model-Predictive Control Informed Rule-Based Control for Residential Cooling Operations Under Extreme Weather Events (AT-23-C038). 2023 ASHRAE Winter Conference Meeting. Atlanta, GA. February 4-8, 2023.
  11. Wei, M., Z. O’Neill, W. Jia, Y. Fu, Z. Yang. 2023. Energy Management and Control System for a PV-Battery System to Improve Residential Building Resiliency Under Extreme Weather Conditions (AT-23-C037). 2023 ASHRAE Winter Conference Meeting. Atlanta, GA. February 4-8, 2023.
  12. Li, G., Z. Yang, Y. Fu, Z. O’Neill, C. Parikh, L. Ren. 2023. Development of a Hardware-in-the-Loop Testbed for Cyber-Physical Security in Smart Buildings (AT-23-C045). 2023 ASHRAE Winter Conference Meeting. Atlanta, GA. February 4-8, 2023.
  13. Chu, M., Y. Fu, Z. O’Neill. 2023. Maximum-Impact Adversary Design for Network-Based Control System: Case Study on Grid-Interactive Efficient Buildings (AT-23-C048). 2023 ASHRAE Winter Conference Meeting. Atlanta, GA. February 4-8, 2023. (Best Student Paper – Master Level-Award)
  14. Feng, F., Z. O’Neill, Y. Fu, Z. Yang. 2023. Enhancement of Energyplus Phase Change Material Hysteresis Model to Simulate Grid-Interactive Efficient Buildings (AT-23-C088). 2023 ASHRAE Winter Conference Meeting. Atlanta, GA. February 4-8, 2023.
  15. Xu, S., Y. Fu, Y. Wang, Z. Yang, Z. O’Neill, Z. Wang and Qi Zhu. 2022. Accelerate Online Reinforcement Learning for Building HVAC Control with Heterogeneous Expert Guidances. ACM BuildSys 2022. November 9-10, 2022. Boston, MA.
  16. Kimball, R., J. Wen, Z. O’Neill, T. Yang, Y. Cheng. 2022. Developing Learning-Based Models for Occupant Centric Control. 7th International High-Performance Buildings Conferences. West Lafayette, IN. July 10 – 14, 2022.
  17. Pradhan, O., D.  Hälleberg, Z. Chen, J. Wen, T. Wu, K. S. Candan and Z. O’Neill. 2022. Lagged-kNN Based Data Imputation Approach for Multi-Stream Building Systems Data. 7th International High-Performance Buildings Conferences. West Lafayette, IN. July 10 – 14, 2022.
  18. Lu, X., Y. Fu, S. Xu, Q Zhu, Z. O’Neill. 2022. Comparison Study of High-Performance Rule-based HVAC Control with Deep Reinforcement Learning-based Control in a Multi-zone VAV System. 7th International High-Performance Buildings Conferences. West Lafayette, IN. July 10 – 14, 2022. (Best Student Paper Award – Finalist)
  19. Chen, Z., J. Wen, S. Bushby, C. Calfa, Y. Fu, G. Grajewski, Y. Li, J. Lo, Z. O’Neill, W. Payne, A. Pertzborn, and Z. Yang. 2022. Development of a Hardware-in-the-Loop Testbed for Laboratory Performance Verification of Flexible Building Equipment in Typical Commercial Buildings (TO-22-C027). 2022 ASHRAE Annual Meeting. Toronto, ON. June 25-29, 2022.
  20. Calfa, C., Z. Yang, Y. Fu, Z. O’Neill, J. Wen, and Z. Chen. 2022. Development of a Water Source Heat Pump Hardware-in-the-Loop (HIL) Testing Facility for Smart Building Applications (TO-22-C028). 2022 ASHRAE Annual Meeting. Toronto, ON. June 25-29, 2022.  (Best Student Paper – Doctoral Level-Award)
  21. Firsich, T., Z. Yang, F. Feng, and Z. O’Neill. 2022.  Texas A&M Smart and Connected Homes Testbed (TAM-SCHT): An Evaluation and Demonstration Platform for Smart & Grid-interactive Technologies (TO-22-C031). 2022 ASHRAE Annual Meeting. Toronto, ON. June 25-29, 2022.  (Best Poster and Presentation Award)
  22. Li, G., Y. Fu, A. Pertzborn, Z. O’Neill, and J. Wen. 2022. Demand Flexibility Evaluation for Building Energy Systems with Thermal Energy Storages Using Model Predictive Control (TO-22-C076). 2022 ASHRAE Annual Meeting. Toronto, ON. June 25-29, 2022.
  23. Pang, Z., Z. O’Neill, J. Zhang, H. Cheng, Y. Chen, and B. Dong. 2022. Monetary Savings of Occupancy-Centric Control in Commercial Buildings (TO-22-C062). 2022 ASHRAE Annual Meeting. Toronto, ON. June 25-29, 2022.
  24. Yang, T., A. Bandyopadhyay, Z. O’Neill, J. Wen, and A. Rogers. 2022. Comparisons of Fault Detection and Diagnostic Methods for Residential Vapor Compression Cycle Systems (TO-22-C072). 2022 ASHRAE Annual Meeting. Toronto, ON. June 25-29, 2022.
  25. Chen, Z., J. Wen, S. Bushby, J. Lo, Z. O’Neill, W. Payne, A. Pertzborn, C. Calfa, Y. Fu, G. Grajewski, Y. Li, and Z. Yang. An Analysis of the Hybrid Internal Mass Modeling Approach in EnergyPlus. 12th eSim Building Simulation Conference. Ottawa, Canada, June 22-23, 2022.
  26. Chu, M., X. Lu, Y. Fu, Z. O’Neill and J. Wen. 2022. A Modelica-based Simulation Study for Dynamic HVAC System Performance Degradation: A Case Study of Fouling Faults. 12th eSim Building Simulation Conference. Ottawa, Canada, June 22-23, 2022.
  27. Fu, Y, Z. O’Neill, J. Wen and V. Adetola. 2021. Evaluating the Impact of Cyber-Attacks on Grid-Interactive Efficient Buildings. Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE2021), November 1-5, 2021, Virtual, Online.
  28. Fu, Y, S. Xu. Wang, Q. Zhu and Z. O’Neill. 2021. Containerized Framework for Building Control Performance Comparisons: Model Predictive Control vs Deep Reinforcement Learning Control. The 1st ACM SIGEnergy Workshop on Fair, Accountable, Transparent, and Ethical (FATE) AI for Smart Environments and Energy Systems (FATESys). November 17-18, 2021. Coimbra, Portugal.
  29. Pradhan, O., J. Wen, Y. Chen, X. Lu, M. Chu, Y. Fu, Z.  O’Neill, T. Wu, and K.S. Candan. 2021. Dynamic Bayesian Network-Based Fault Diagnosis for ASHRAE Guideline 36: High Performance Sequence of Operation for HVAC. The 1st ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities. November 17-18, 2021. Coimbra, Portugal.
  30. Xu, S., Y. Fu, Wang, Z. O’Neill and Qi Zhu. 2021. Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control. ACM BuildSys 2021. November 17-18, 2021. Coimbra, Portugal.
  31. Li, G., Y. Fu, A. Pertzborn, J. Wen, and Z. O’Neill. 2021. An Ice Storage Tank Modelica Model: Implementation and Validation. In Proceedings of the 14th International Modelica Conference, pp. 177-185. September 20–24, 2021.
  32. Pang, Z., P. Hu, X. Lu, Q. Wang and Z. O’Neill. 2021. A Smart CO2-Based Ventilation Control Framework to Minimize the Infection Risk of COVID-19 In Public Buildings. In Proceedings of the 17th Building Simulation 2021 Conference. Bruges, Belgium. September 1-3, 2021. (Best Student Paper)
  33. Fu, Y., X. Lu and Z. O’Neill. 2021. Functional mock-up unit based generic threat injection framework for efficient and resilient buildings. In Proceedings of the 17th Building Simulation 2021 Conference. Bruges, Belgium. September 1-3, 2021
  34. Huang, J., Yoon, O. Pradhan, T. Wu, J. Wen and  Z. O’Neill, Automatic Fault Detection Baseline Construction for Building HVAC Systems using Joint Entropy and Enthalpy, Proc. 2021 IISE Ann. Conf.
  35. Pradhan, O., J. Wen, Y. Chen, T. Wu and Z. O’Neill. 2021. Dynamic Bayesian Network for Fault Diagnosis. ASHRAE 2021 Annual Conference. June 28 – July1 2021. Originally Phoenix, AZ. Online due to COVID-19.
  36. Pang, Z., F. Feng and Z. O’Neill. 2021. Investigation of the Impacts of COVID-19 on the Electricity Consumption of a University Dormitory Using Weather Normalization, ASHRAE 2021 Annual Conference. June 28 – July1 2021. Originally Phoenix, AZ. Online due to COVID-19.
  37. Xu, S., Y. Wang, Y. Z. Wang, Z. O’Neill and Q. Zhu. 2020. One for Many: Transfer Learning for Building HVAC Control. ACM BuildSys 2020. November 14, 2020.
  38. Lu, X., Z. D. O’Neill, X. Zhou, and T. Yang. 2020. Energy and Ventilation Performance Analysis for CO2-based Demand-Controlled Ventilation in Multiple Zone VAV systems with Multiple Recirculation Paths. 2020 ASHRAE Building Performance Analysis Conference and SimBuild, Chicago, IL. August 12 – 14, 2020.
  39. Pang, Z., Y. Chen, J. Zhang, Z.D. O’Neill, and Y. Xie. 2020. Development of Baseline Building Energy Models for the Advanced Occupant-Centric Building Control Research in the Various U.S. Climates. 2020 ASHRAE Building Performance Analysis Conference and SimBuild, Chicago, IL. August 12 – 14, 2020.
  40. Pang, Z., Y. Chen, Z. D. O’Neill, J. Zhang, H. Cheng, and B. Dong. 2020. Nationwide Energy Saving Analysis for Office Buildings with Occupant Centric Building Controls. 2020 ASHRAE Annual Virtual Meeting. Austin, TX. June 27 – July 1, 2020.
  41. Qian, D., X. Liu, and Z. D. O’Neill. 2020. A Simulation-based Investigation On the Performance Of A Hybrid Ground Source Heat Pump System Integrated With Thermal Energy Storage. 2020 ASHRAE Annual Virtual Meeting. Austin, TX. June 27 – July 1, 2020.
  42. Ye, Z., L. Zhang, Z. Chu, Z. D. O’Neill, and F. Hu. 2020. Hardware-Based Emulator for Building Energy Cyber-Physical Control with Occupancy Sensing. The 17th International Conference on Information Technology: New Generations. ITNG 2020. Las Vegas, NV, USA. April 5 – 8, 2020,
  43. Lu, X., F. Feng, and Z. D. O’Neill. 2020. Occupancy Sensing in Buildings through Social Media from Semantic Analysis. 2020 ASHRAE Winter Meeting. Orlando, FL. February 1 – 5, 2020.
  44. Pang, Z., Y. Chen, J. Zhang, Z. D. O’Neill, H. Cheng, and B. Dong. 2020. Nationwide Energy Saving Potential Evaluation for Office Buildings with Occupancy-Based Building Controls. 2020 ASHRAE Winter Meeting. Orlando, FL. February 1 – 5, 2020.
  45. Lu, X., F. Feng, and Z. D. O’Neill. 2019. Acquisition of Typical Occupancy Schedules for Commercial Buildings from Social Networks. In Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization (UrbSys’19). ACM, New York, NY, USA, 77-81. DOI: https://doi.org/10.1145/3363459.3363537.
  46. Pang, Z. and Z. D. O’Neill. 2019. A Comparative Study of Various Sensitivity Analysis Methods in Building Application. The 16th International Building Performance Simulation Association Conference and Exhibition. Rome, Italy. September 2-4, 2019.
  47. Pang, Z., Y. Chen, C. Metzger, C. Dymond, Z.  D. O’Neill and J. Zhang. 2019. Maximizing The Use Of Ductless Heat Pump Systems In Residential Buildings With Existing HVAC Equipment In EnergyPlus. The 16th International Building Performance Simulation Association Conference and Exhibition. Rome, Italy. September 2-4, 2019.
  48. Li, Y. and Z. D. O’Neill. 2019. Simulation Based Fault Impact Analysis for the Secondary School in the U.S. 2019 ASHRAE Annual Meeting. Kansas City, MO. Jun 22–26, 2019.
  49. Feng, F., Z. D. O’Neill and P. Xu. 2019. An Automated Method to Identify The Expert Systems for Supervisory Controls in Building Systems. 2019 ASHRAE Annual Meeting. Kansas City, MO. Jun 22–26, 2019.
  50. Feng, F. and Z. D. O’Neill. 2019. Identifying Models of HVAC Systems Using ARIMAX. 2019 ASHRAE Annual Meeting. Kansas City, MO.  Jun 22–26, 2019.
  51. Pang, Z., and Z. D. O’Neill. 2019. A Case Study of Sensitivity Analysis of The Domestic Hot Water System in Large Hotels, 2019 ASHRAE Winter Meeting. Atlanta, GA.  Jan 12–16, 2019
  52. Qian, D., and Z. D. O’Neill. 2018. Modelica-Based Dynamic Modeling of a Solar-Powered Ground Source Heat Pump System: A Preliminary Case Study. American Modelica Conference 2018. Cambridge, MA, October 9-10, 2018.
  53. Liu, L., Z. Hao, F. Niu and Z. D. O’Neill. 2018. Energy Modeling and Calibration of a Mixed-use Building with Laboratories, Offices, and Classrooms. 2018 ASHRAE Building Performance Analysis Conference and SimBuild, Chicago, IL. September 26-28, 2018.
  54. Hao, Z. and Z. D. O’Neill. 2018. Model-based Estimation of Building Infiltration. 2018 ASHRAE Building Performance Analysis Conference and SimBuild, Chicago, IL. September 26-28, 2018.
  55. Qian, D., Z. Pang and Z. D. O’Neill. 2018. Evaluation of Low-cost Particulate Matter (PM) Sensors: A Preliminary Investigation, 2018 ASHRAE Annual Meeting. Houston, TX.  Jun 23–27, 2018.
  56. Li, Y., F. Niu, D. Qian, and Z. D. O’Neill. 2018. Nationwide Energy Savings Analysis of Radiant Floor System for Commercial Buildings, 2018 ASHRAE Annual Meeting. Houston, TX. June 23–27, 2018.
  57. Pang, Z., X. Peng and Z. D. O’Neill. 2018. Application of Mobile-internet-based Occupancy Data in Building Energy Model Calibration: A Case Study, 2018 ASHRAE Annual Meeting. Houston, TX. Jun 23–27, 2018.
  58. Carpenter, J., K. A. Woodbury, and Z. D. O’Neill. 2018. Calculating Energy Savings on Air Conditioners in Industrial Facilities Using Simple Physics, 2018 ASHRAE Annual Meeting. Houston, TX. Jun 23–27, 2018.
  59. Qian, D., Y. Li, F. Nu and Z. D. O’Neill. 2018. Nationwide Savings Analysis of A Variety of Energy Conservation Measures. 2018 ASHRAE Winter Meeting. Chicago, IL.  Jan 20–24, 2018.
  60. Niu, F. and Z. D. O’Neill. 2017. Recurrent Neural Network based Deep Learning Solar Radiation Prediction. The 15th International Building Performance Simulation Association Conference and Exhibition. San Francisco, August 7–9, 2017.
  61. O’Neill, Z. D., Henry and C. R. O’Neill. 2017. Development of A Hardware-in-the-loop Framework with Modelica for Energy Efficient Buildings. 2017 ASHRAE Winter Meeting. Las Vegas, NV.  January 28–February 1, 2017.
  62. O’Neill, Z. D. and A. Henry. 2016. Development of a Hardware-in-the-loop Framework with Modelica for Energy Efficient Buildings: Poster Abstract. Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments. Page 223-224. November 15-17, 2016, Stanford, CA, USA.
  63. Niu, F., Z. D. O’Neill, X. Zhou and D. Qian. 2016.  Model-based Optimal Control of a Building HVAC System. International Compressor Engineering, Refrigeration and Air Conditioning, and High Performance Buildings Conferences. West Lafayette, IN. July 11 – 14, 2016.
  64. Qian, D., F. Niu, S. Kavanaugh and Z. D. O’Neill. 2016. Investigation on A Ground Source Heat Pump System Integrated with Renewable Sources. International Compressor Engineering, Refrigeration and Air Conditioning, and High Performance Buildings Conferences. West Lafayette, IN. July 11 – 14, 2016.
  65. Sterling, R., T. Mueller, A. Andriamamonjy, A. Giretti, M. Bonvini, Z. D. O’Neill, M. Wetter, M.V. Cavey, A. Costa1, G. Boehme, W. Zuo, R. Klein, B. Dong and M.M. Keane. 2016. IEA annex 60 activity 2.3: model use during operation, approach and case studies. Proceedings of the Building Simulation and Optimization 2016 Conference, September 12-14, Newcastle, UK.
  66. Carpenter, J., K.A. Woodbury and Z. D. O’Neill. 2016. A Comparison of Gaussian Process Regression and Chang-point Regression for the Baseline Model in Industrial Facilities. ASHRAE and IBPSA-USA SimBuild 2016. Building Performance Modeling Conference. Salt Lake City, UT. August 8-12, 2016.
  67. Carpenter, J., Z. D. O’Neill and K.A. Woodbury. 2016. Gaussian Process Baseline Regression Models in Industrial Facilities. 2016 ASHRAE Annual Meeting. St. Louis, MO. June 25–29, 2016.
  68. O’Neill, C.R. and Z. D. O’Neill. 2016. Field Investigations of Nanoscale Particle Dispersion and Deposition Emitted from 3D Printers in Ventilated Spaces. 2016 ASHRAE Annual Meeting. St. Louis, MO. June 25–29, 2016.
  69. Huang, S., M. Vande Cavey, R. Sterling, W. Zuo, L. Helsen, A. Giretti, M. Bonvini, Z.  D. O’Neill, M. Wetter, A. Costa, G. Boehme, R. Klein, B. Dong and M. M. Keane. 2016. IEA Annex 60 Activity 2.3: Model use during operation, approach and case studies. CLIMA 2016 – Proc. of the 12th REHVA World Congress, May 22-25, Aalborg, Denmark.
  70. Li, Y. and Z. D. O’Neill. 2016. An EnergyPlus/OpenStudio based Fault Simulator for Buildings. 2016 ASHRAE Winter Meeting. Orlando, FL. January 24–28, 2016.
  71. Niu, F. and Z. D. O’Neill. 2016. Bayesian Network Based HVAC Energy Consumption Prediction Using Improved Fourier Series Decomposition. 2016 ASHRAE Winter Meeting. Orlando, FL. January 24–28, 2016.
  72. Stering, R., A. Giretti, M. Bonvin, Z. D. O’Neill, et al. 2015. IEA Annex 60 Activity 2.3: Model Use During Operation, Approach and Case Studies. The 14th International Building Performance Simulation Association Conference and Exhibition. Hyderabad, India. December 7–9, 2015.
  73. Niu, F., Z. D. O’Neill, W. Zuo and Y. Li. 2015. Assessment of Different Data-driven Algorithms for AHU Energy Consumption Predictions. The 14th International Building Performance Simulation Association Conference and Exhibition. Hyderabad, India. December 7–9, 2015.
  74. Li, Y. and Z. D. O’Neill. 2015. Evaluating Control Performance of Building HVAC Controllers. The 14th International Building Performance Simulation Association Conference and Exhibition. Hyderabad, India. December 7–9, 2015.
  75. Li, T., G. Shao, S. Huang, W. Zuo and Z. D. O’Neill. 2015. Genetic Algorithm for Building Optimization – State-of-the-art Survey. The 3rd International Conference on Building Energy and Environment (COBEE). July 12-15, 2015. Tianjin, China.
  76. Chen, Y., M. Hu and Z. D. O’Neill. 2015. A Collaborative Decision Model for Low Energy Building Design Optimization. ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2015). Boston, MA. August 2-5, 2015.
  77. Qi, T., and Z. D. O’Neill. 2014. Inverse Modeling to Estimate the Effective Leakage Area in Buildings. 2014 ASHRAE/IBPSA-USA Building Simulation Conference. Atlanta, GA. September 10-12, 2014.
  78. O’Neill, Z. D.. Development of a Probabilistic Graphical Energy Performance Model for an Office Building.   2014 ASHRAE Annual Meeting. Seattle, WA.  June 28 –July 1, 2014.
  79. O’Neill, Z. D. and S. Narayanan. 2014. Model Based Estimation of Cold Room Temperatures in Supermarket Refrigeration System. 2014 ASHRAE Winter Meeting. New York City, NY.  January 18–22, 2014.
  80. Zhang, Y. , Z. D. O’Neill, G. Augenbroe and T. Wagner. 2013. Develop an Inverse Model with Uncertainty Quantification to Estimate the Energy Performance of an Office Building. The 13th International Building Performance Simulation Association Conference and Exhibition. Chambery, France. August 25–28, 2013.
  81. Dong, B., Z. D. O’Neill, D. Luo and T. Bailey. 2013. Development and Calibration of a Reduced-order Energy Performance Model for a Mixed-use Building. The 13th International Building Performance Simulation Association Conference and Exhibition. Chambery, France. August 25–28, 2013.
  82. Li, P., Z. D. O’Neill and J. Braun. 2013. Development of Control Oriented Models for Model Predictive Control in Buildings. 2013 ASHRAE Annual Meeting. Denver, CO.  June 23–27, 2013.
  83. Dong, B., Z. D. O’Neill, D. Luo, S. Ahuja and T. Bailey. 2012. An Integrated Infrastructure for Real-Time Building Energy Modeling and FDD. The Fifth National Conference of IBPSA-USA: SimBuild2012. Madison, Wisconsin. August 1–3, 2012.
  84. Otto, K., B. Eisenhower, Z. D. O’Neill, I. Mezic´ and S. Narayanan. 2012. Prioritizing Building System Energy Failure Modes Using Whole Building Energy Simulation. The Fifth National Conference of IBPSA-USA: SimBuild2012. Madison, Wisconsin. August 1–3, 2012.
  85. O’Neill, Z. D., Eisenhower, V. Fonoberov and T. Bailey. 2012. Calibration of a Building Energy Model Considering Parametric Uncertainty. ASHRAE Transactions, 118(2):189-197. ASHRAE Annual Meeting. San Antonio, TX. Jun 23–27, 2012.
  86. O’Neill, Z. D., Shashanka, X. Pang, T. Bailey and P. Haves. 2011. Real Time Model-based Energy Diagnostics in Buildings. The 12th International Building Performance Simulation Association Conference and Exhibition. Sydney, Australia. November 14–17, 2011.
  87. Eisenhower, B., Z. D. O’Neill, I. Mezic´ and S. Narayanan. 2011. Impact of Uncertainty on High Performance Building Design. The 12th International Building Performance Simulation Association Conference and Exhibition. Sydney, Australia. November 14–17, 2011.
  88. Pang, X., P. Bhattacharya, Z. D. O’Neill, P. Haves, M, Wetter and T. Bailey. 2011. Real-time Whole Building Performance Monitoring and Fault Detection using EnergyPlus and the Building Controls Virtual Test Bed. The 12th International Building Performance Simulation Association Conference and Exhibition. Sydney, Australia. November 14–17, 2011.
  89. Li, Z., B. Dong and Z. D. O’Neill. 2011. Database Supported BACNet Data Acquisition System for Building Energy Diagnostics. The 11th International Conference for Enhanced Building Operations. New York City, NY. October 18–20, 2011.
  90. Sun, B., P. Luh and Z. D. O’Neill. 2011. Building Energy Doctors: SPC and Kalman Filter-Based Fault Detection and Diagnosis. The 7th IEEE International Conference on Automation Science and Engineering. Trieste, Italy. August 24–27, 2011.
  91. O’Neill, Z. D., B. Eisenhower, S. Yuan, T. Bailey, S. Narayanan and V. Fonoberov.2011. Modeling and Calibration of Energy Models for a DoD Building. ASHRAE Transactions, 117(2): 358-365. ASHRAE Annual Meeting. Montreal, Québec, Canada. June 25–29, 2011.
  92. O’Neill, Z. D., S. Narayanan and R. Brahme. 2010. Model-Based Load Estimation for Buildings. Fourth National Conference of IBPSA-USA: SimBuild2010. New York City, NY. August 11–13, 2010.
  93. Brahme, R., Z. D. O’Neill, W. Sisson and K. Otto. 2009. Using Existing Whole Building Energy Tools for Designing Net Zero Energy Buildings – Challenges and Workarounds. The 11th International Building Performance Simulation Association Conference and Exhibition. Glasgow, Scotland. July 27–30, 2009.
  94. Yuan, S. and Z. D. O’Neill. 2008. Testing and Validating an Equation Based Dynamic Building Program with ASHRAE Standard Method of Test. Third National Conference of IBPSA-USA: SimBuild2008. Berkeley, CA. July 30–August 1, 2008.
  95. O’Neill, Z. D. and J. D. Spitler. Modeling of Standing Column Wells in Ground Source Heat Pump Systems. The 10th International Conference on Thermal Energy Storage. Richard Stockton College, New Jersey. May 31–June 2, 2006.
  96. Deng, Z. and J.D. Spitler. Modeling and Parametric Study of Standing Column Well Systems. First National Conference of IBPSA-USA: SimBuild2004-Building Sustainability and Performance through Simulation. Boulder, CO. August 4–6, 2004. (Poster only)
  97. Deng, Z. and J. D. Spitler and S. J. Rees. A Simplified Model for Standing Column Well Systems. The Conference on the Clean Energy Plan for GYMS Engineering of Beijing 2008 Olympic Games. Beijing, China. July 6–8 2004.
  98. Deng, Z.. Modeling and Parametric Study of Standing Column Well Systems. 24th Oklahoma AIAA/ASME Symposium. Oklahoma City, OK. February 2004.
  99. Rees, S. J., Deng, Z., A. Chiasson and J. D. Spitler. 2001. Advanced in Modeling Standing Column Wells. 2001 International Ground Source Heat Pump Association Technical Conference, Stillwater, OK. May 2001.
  100. Deng, Z., Y. Zhao and Q. Li. 2001. Thermal Comfort Studies on the Hybrid System, Displacement Ventilation Symposium 2001 Technical Papers, Shanghai, China.
  101. Li, Q. and Deng, Z.. 1999. The Practical Application of Displacement Ventilation in China, Shanghai-Hong Kong HVAC Seminar’99 Technical Papers, Shanghai, China.