HR job title
- Associate Professor
- Contact Info
O'Neill, Zheng Associate Professor
Positions
- Associate Professor, Mechanical Engineering, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
- Overview
- Publications
- Research
- Teaching
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Li, H., Johra, H., Pereira, F., Hong, T., Le Dreau, J., Maturo, A., ... Dong, B.
(2023).
Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives. 343, 121217-121217.
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Chen, Z., O'Neill, Z., Wen, J., Pradhan, O., Yang, T., Lu, X., ... Herr, T.
(2023).
A review of data-driven fault detection and diagnostics for building HVAC systems. APPLIED ENERGY.
339, 121030-121030.
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Fu, Y., Xu, S., Zhu, Q. i., ONeill, Z., & Adetola, V.
(2023).
How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system. Energy.
273, 127073-127073.
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Pang, Z., Lu, X., & O'Neill, Z.
(2023).
Quantification of how mechanical ventilation influences the airborne infection risk of COVID-19 and HVAC energy consumption in office buildings. Building Simulation.
16(5), 713-732.
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Pang, Z., Koolbeck, M., Zhou, X., & O'Neill, Z. D.
(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.
29(4), 402-423.
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Lu, X., Fu, Y., & O'Neill, Z.
(2023).
Benchmarking high performance HVAC Rule-Based controls with advanced intelligent Controllers: A case study in a Multi-Zone system in Modelica. Energy and Buildings.
284, 112854-112854.
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Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., ... O'Neill, Z.
(2023).
A critical review of cyber-physical security for building automation systems. Annual Review in Automatic Programming.
55, 237-254.
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Huang, J., Yoon, H., Wu, T., Candan, K. S., Pradhan, O., Wen, J., & O'Neill, Z.
(2023).
Eigen-Entropy: A metric for multivariate sampling decisions. 619, 84-97.
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Pang, Z., Lu, X., Hu, P., O'Neill, Z., & Wang, Q.
(2023).
SIREN - smart ventilation for infection risk mitigation and HVAC energy efficiency: a case study amid the COVID-19 pandemic. Journal of Building Performance Simulation.
ahead-of-print(ahead-of-print), 1-29.
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Feng, F., Fu, Y., Yang, Z., & O'Neill, Z.
(2022).
Enhancement of phase change material hysteresis model: A case study of modeling building envelope in EnergyPlus. 276, 112511-112511.
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HUANG, J., YOON, H., PRADHAN, O., WU, T., WEN, J., O'NEILL, Z., & Candan, K.
(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.
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O'Neill, Z., & Wen, J.
(2022).
Artificial intelligence in smart buildings. Science and Technology for the Built Environment.
28(9), 1115-1115.
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Lu, X., Pang, Z., Fu, Y., & Neill, Z. O.
(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.
223, 109455-109455.
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Lu, X., Bhattacharya, S., Sharma, H., Adetola, V., & O'Neill, Z.
(2022).
Sensor impact evaluation in commercial buildings: The case of occupancy-centric controls. Energy and Buildings.
267, 112134-112134.
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Yang, T., Bandyopadhyay, A., O'Neill, Z., Wen, J., & Dong, B.
(2022).
From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control. Building Simulation.
15(6), 913-932.
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Lu, X., Pang, Z., Fu, Y., & O'Neill, Z.
(2022).
The nexus of the indoor CO2 concentration and ventilation demands underlying CO2-based demand-controlled ventilation in commercial buildings: A critical review. BUILDING AND ENVIRONMENT.
218, 109116-109116.
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Huang, J., Wen, J., Yoon, H., Pradhan, O., Wu, T., O'Neill, Z., & Candan, K. S.
(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, 111872-111872.
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Chu, Y., Mitra, D., O'neill, Z., & Cetin, K.
(2022).
Influential variables impacting the reliability of building occupancy sensor systems: A systematic review and expert survey. Science and Technology for the Built Environment.
28(2), 200-220.
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Fu, Y., Neill, Z. O., Wen, J., Pertzborn, A. T., & Bushby, S.
(2022).
Utilizing commercial heating, ventilating, and air conditioning systems to provide grid services: A review. APPLIED ENERGY.
307, 118133-118133.
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Zhang, R., Kong, M., Dong, B., O'Neill, Z., Cheng, H., Hu, F., & Zhang, J.
(2022).
Development of a testing and evaluation protocol for occupancy sensing technologies in building HVAC controls: A case study of representative people counting sensors. BUILDING AND ENVIRONMENT.
208, 108610-108610.
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Kong, M., Dong, B., Zhang, R., & O'Neill, Z.
(2022).
HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study. APPLIED ENERGY.
306, 117987-117987.
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Awada, M., Becerik-Gerber, B., White, E., Hoque, S., O'Neill, Z., Pedrielli, G., Wen, J., & Wu, T.
(2022).
Occupant health in buildings: Impact of the COVID-19 pandemic on the opinions of building professionals and implications on research. BUILDING AND ENVIRONMENT.
207, 108440-108440.
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Lu, X., Fu, Y., O'Neill, Z., & Wen, J.
(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, 111448-111448.
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Ye, Z., O’Neill, Z., & Hu, F.
(2021).
Hardware-Based Emulator with Deep Learning Model for Building Energy Control and Prediction Based on Occupancy Sensors’ Data. Information.
12(12), 499-499.
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Fu, Y., O'Neill, Z., Yang, Z., Adetola, V., Wen, J., Ren, L., ... Wu, T.
(2021).
Modeling and evaluation of cyber-attacks on grid-interactive efficient buildings. APPLIED ENERGY.
303, 117639-117639.
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Fu, Y., O’Neill, Z., & Adetola, V.
(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.
250, 111263-111263.
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Pang, Z., Chen, Y., Zhang, J., O’Neill, Z., Cheng, H., & Dong, B.
(2021).
Quantifying the nationwide HVAC energy savings in large hotels: the role of occupant-centric controls. Journal of Building Performance Simulation.
14(6), 749-769.
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Feng, F., Kunwar, N., Cetin, K., & O'Neill, Z.
(2021).
A critical review of fenestration/window system design methods for high performance buildings. Energy and Buildings.
248, 111184-111184.
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Pang, Z., Hu, P., Lu, X., Wang, Q., & O'Neill, Z.
(2021).
A Smart CO2-Based Ventilation Control Framework to Minimize the Infection Risk of COVID-19 In Public Buildings. 17.
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Li, Y., O'Neill, Z., Zhang, L., Chen, J., Im, P., & DeGraw, J.
(2021).
Grey-box modeling and application for building energy simulations-A critical review. Renewable and Sustainable Energy Reviews.
146, 111174-111174.
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Ye, Y., Chen, Y., Zhang, J., Pang, Z., O’Neill, Z., Dong, B., & Cheng, H.
(2021).
Energy-saving potential evaluation for primary schools with occupant-centric controls. APPLIED ENERGY.
293, 116854-116854.
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Lu, X., Adetola, V., & O'Neill, Z.
(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, 110995-110995.
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Pang, Z., Chen, Y., Zhang, J., O'Neill, Z., Cheng, H., & Dong, B.
(2021).
How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study. APPLIED ENERGY.
283, 116251-116251.
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Kong, M., Dong, B., Zhang, R., & O’Neill, Z.
(2021).
HVAC Energy Savings and IEQ for Occupancy-Based Control by Side-by-Side Experimental Study
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Pang, Z., Becerik-Gerber, B., Hoque, S., O’Neill, Z., Pedrielli, G., Wen, J., & Wu, T.
(2021).
How Work From Home Has Affected the Occupant's Well-Being in the Residential Built Environment: An International Survey Amid the Covid-19 Pandemic. ASME Journal of Engineering for Sustainable Buildings and Cities.
2(4),
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Xu, S., Fu, Y., Wang, Y., O'Neill, Z., & Zhu, Q.
(2021).
Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control. arXiv-2106.
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Awada, M., Becerik-Gerber, B., Hoque, S., O'Neill, Z., Pedrielli, G., Wen, J., & Wu, T.
(2021).
Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic. BUILDING AND ENVIRONMENT.
188, 107480-107480.
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Fu, Y., O'Neill, Z., Wen, J., Pertzborn, A., & Bushby, S. T.
(2021).
Utilizing commercial heating, ventilating, and air conditioning systems to provide grid services: A review. APPLIED ENERGY.
118133.
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Wen, J., Becerik-Gerber, B., O'Neill, Z., & Hoque, S.
(2021).
Well-being in the Built Environment. 1-5.
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Pang, Z., Chen, Y., Zhang, J., O'Neill, Z., Cheng, H., & Dong, B.
(2020).
Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates. APPLIED ENERGY.
279, 115727-115727.
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Pang, Z., Niu, F., & O'Neill, Z.
(2020).
Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons. Renewable Energy.
156, 279-289.
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Lu, X., O'Neill, Z., Li, Y., & Niu, F.
(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, 114638-114638.
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Lu, X., Yang, T., O'Neill, Z., Zhou, X., & Pang, Z.
(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). 27(2), 139-157.
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O'Neill, Z. D., Le, Y., Cheng, H. C., Zhou, X., & Taylor, S. T.
(2020).
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.
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Ye, Z., Hu, F., Zhang, L., Chu, Z., & O'Neill, Z.
(2020).
A Low-Cost Experimental Testbed for Energy-Saving HVAC Control Based on Human Behavior Monitoring. 2(1), 33-55.
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O'Neill, Z. D., Li, Y., Cheng, H. C., Zhou, X., & Taylor, S. T.
(2020).
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.
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Pang, Z., Fan, F., & O'Neill, Z.
(2020).
Investigation of the Impacts of COVID-19 on the Electricity Consumption of a University Dormitory Using Weather Normalization
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Pang, Z., Zhang, J., Chen, Y., Cheng, H., O’Neill, Z., & Dong, B.
(2020).
Nationwide Energy Saving Analysis for Office Buildings with Occupant Centric Building Controls. ASHRAE Transactions.
126(2),
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Pang, Z., Chen, Y., Zhang, J., O'Neill, Z., Cheng, H., & Dong, B.
(2020).
Nationwide energy saving potential evaluation for office buildings with occupant-based building controls. ASHRAE Transactions.
126, 273-281.
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Lu, X., Feng, F., & O'Neill, Z.
(2020).
Occupancy sensing in buildings through social media from semantic analysis
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Pang, Z., O'Neill, Z., Li, Y., & Niu, F.
(2020).
The role of sensitivity analysis in the building performance analysis: A critical review. Energy and Buildings.
209, 109659-109659.
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Pang, Z., O'Neill, Z., Li, Y., & Niu, F.
(2020).
The role of sensitivity analysis in the building performance analysis: A critical review. Energy and Buildings.
209, 109659.
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Ye, Z., Hu, F., Zhang, L., Chu, Z., & O'Neill, Z.
(2020).
A Low-Cost Experimental Testbed for Energy-Saving HVAC Control Based on Human Behavior Monitoring. International Journal of Cyber-Physical Systems.
2(1), 33-55.
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Liu, R., Li, Y., O'Neill, Z. D., & Zhou, X.
(2019).
Development of control quality factor for HVAC control loop performance assessment-II: Field testing and results (ASHRAE RP-1587). Science and Technology for the Built Environment.
25(7), 873-888.
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Li, Y., O'Neill, Z. D., & Zhou, X.
(2019).
Development of control quality factor for HVAC control loop performance assessment IMethodology (ASHRAE RP-1587). Science and Technology for the Built Environment.
25(5), 656-673.
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Wang, L., Mcmorrow, G., Zhou, X., & O'Neill, Z. D.
(2019).
Assessing the validity, reliability, and practicality of ASHRAE's performance measurement protocols (ASHRAE Research Project 1702). Science and Technology for the Built Environment.
25(4), 464-487.
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Pang, Z., & O'Neill, Z.
(2019).
A Case Study of Sensitivity Analysis of the Domestic Hot Water System in Large Hotels. ASHRAE Transactions.
125.
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Feng, F., Li, Z., & O'Neill, Z.
(2019).
A Real-Time Platform for Assessment of Chiller-Side Demand Response Strategies. ASHRAE Transactions.
125(2),
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Dong, B., Prakash, V., Feng, F., & O'Neill, Z.
(2019).
A review of smart building sensing system for better indoor environment control. Energy and Buildings.
199, 29-46.
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Dong, B., Prakash, V., Feng, F., & O'Neill, Z.
(2019).
A review of smart building sensing system for better indoor environment control. Energy and Buildings.
199, 29-46.
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Li, Y., & O'Neill, Z.
(2019).
An innovative fault impact analysis framework for enhancing building operations. Energy and Buildings.
199, 311-331.
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Li, Y., & O'Neill, Z.
(2019).
An innovative fault impact analysis framework for enhancing building operations. Energy and Buildings.
199, 311-331.
-
Wang, L., Mcmorrow, G., Zhou, X., & O'Neill, Z. D.
(2019).
Assessing the validity, reliability, and practicality of ASHRAE’s performance measurement protocols (ASHRAE Research Project 1702). Science and Technology for the Built Environment.
25(4), 464-487.
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Li, Y., O'Neill, Z. D., & Zhou, X.
(2019).
Development of control quality factor for HVAC control loop performance assessment I—Methodology (ASHRAE RP-1587). Science and Technology for the Built Environment.
25(5), 656-673.
-
Liu, R., Li, Y., O’Neill, Z. D., & Zhou, X.
(2019).
Development of control quality factor for HVAC control loop performance assessment—II: Field testing and results (ASHRAE RP-1587). Science and Technology for the Built Environment.
25(7), 873-888.
-
Pang, Z., Chen, Y., Metzger, C. E., Dymond, C., & Zhang, J.
(2019).
Maximize the energy performance of the ductless heat pump in residential buildings with existing ac equipment
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Qian, D., Li, Y., Niu, F., & O'Neill, Z.
(2019).
Nationwide savings analysis of energy conservation measures in buildings. Energy Conversion and Management.
188, 1-18.
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Qian, D., Li, Y., Niu, F., & O'Neill, Z.
(2019).
Nationwide savings analysis of energy conservation measures in buildings. Energy Conversion and Management.
188, 1-18.
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Li, Y., & O’Neill, Z.
(2019).
Simulation based Fault Impact Analysis for the Secondary School in the US. ASHRAE Transactions.
125(2),
-
Pang, Z., & O'Neill, Z.
(2018).
Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels. APPLIED ENERGY.
232, 424-442.
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Li, Y., & O'Neill, Z.
(2018).
A critical review of fault modeling of HVAC systems in buildings. Building Simulation.
11(5), 953-975.
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Niu, F., O'Neill, Z., & O'Neill, C.
(2018).
Data-driven based estimation of HVAC energy consumption using an improved Fourier series decomposition in buildings. Building Simulation.
11(4), 633-645.
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Zhou, S., O'Neill, Z., & O'Neill, C.
(2018).
A review of leakage detection methods for district heating networks. Applied Thermal Engineering.
137, 567-574.
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Pang, Z., Xu, P., O'Neill, Z., Gu, J., Qiu, S., Lu, X., & Li, X.
(2018).
Application of mobile positioning occupancy data for building energy simulation: An engineering case study. BUILDING AND ENVIRONMENT.
141, 1-15.
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Carpenter, J., Woodbury, K. A., & O'Neill, Z.
(2018).
Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison. APPLIED ENERGY.
213, 415-425.
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Carpenter, J., Woodbury, K. A., & O'Neill, Z.
(2018).
Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison. APPLIED ENERGY.
213, 415-425.
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O'Neill, Z., Li, Y., & Williams, K.
(2017).
HVAC control loop performance assessment: A critical review (1587-RP). Science and Technology for the Built Environment.
23(4), 619-636.
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O'Neill, Z., & Niu, F.
(2017).
Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion. BUILDING AND ENVIRONMENT.
115, 157-172.
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Cetin, K. S., & ONeill, Z.
(2017).
Smart Meters and Smart Devices in Buildings: a Review of Recent Progress and Influence on Electricity Use and Peak Demand. Current Sustainable/Renewable Energy Reports.
4(1), 1-7.
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Golden, A., Woodbury, K., Carpenter, J., & O'Neill, Z.
(2017).
Change point and degree day baseline regression models in industrial facilities. Energy and Buildings.
144, 30-41.
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Golden, A., Woodbury, K., Carpenter, J., & O’Neill, Z.
(2017).
Change point and degree day baseline regression models in industrial facilities. Energy and Buildings.
144, 30-41.
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Cetin, K. S., & O’Neill, Z.
(2017).
Smart meters and smart devices in buildings: A review of recent progress and influence on electricity use and peak demand. Current Sustainable/Renewable Energy Reports.
4(1), 1-7.
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Zhang, D., Li, S., Sun, M., & O'Neill, Z.
(2016).
An Optimal and Learning-Based Demand Response and Home Energy Management System. IEEE Transactions on Smart Grid.
7(4), 1790-1801.
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Niu, F., Liu, X., & O'Neill, Z.
(2016).
A Simulation-Based Study on Different Control Strategies for Variable-Speed Pumps in Distributed Ground-Source Heat Pump Systems. ASHRAE Transactions.
122, 173-185.
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Carpenter, J., Woodbury, K., & O’Neill, Z.
(2016).
A comparison of Gaussian process regression and change-point regression for the baseline model in industrial facilities. 6(1),
-
O'Neill, Z., & O'Neill, C.
(2016).
Development of a probabilistic graphical model for predicting building energy performance. APPLIED ENERGY.
164, 650-658.
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O’Neill, Z., & O’Neill, C.
(2016).
Development of a probabilistic graphical model for predicting building energy performance. APPLIED ENERGY.
164, 650-658.
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Chaudhary, G., New, J., Sanyal, J., Im, P., O'Neill, Z., & Garg, V.
(2016).
Evaluation of "Autotune" calibration against manual calibration of building energy models. APPLIED ENERGY.
182, 115-134.
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Chaudhary, G., New, J., Sanyal, J., Im, P., O’Neill, Z., & Garg, V.
(2016).
Evaluation of “Autotune” calibration against manual calibration of building energy models. APPLIED ENERGY.
182, 115-134.
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O'Neill, Z., Li, Y., & Williams, K.
(2016).
HVAC Control Loop Performance Assessment: A Critical Review (1587-RP). 00-00.
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Qian, D., Niu, F., Kavanaugh, S., & O'Neill, Z.
(2016).
Investigation on A Ground Source Heat Pump System Integrated With Renewable Sources
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Niu, F., Liu, X., & O'neill, Z.
(2016).
Model-Based Energy Comparison Performance Analysis of Pumping System performance with Different Control Logics. ASHRAE Transactions.
122(2), 173-185.
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Niu, F., O'Neill, Z., Zhou, X., & Qian, D.
(2016).
Model-based optimal control of variable air volume terminal box
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Li, Y., O'Neill, Z., & Niu, F.
(2015).
Evaluating Control Performance on Building HVAC Controllers. 14, 967.
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Li, P., Vrabie, D., Li, D., Bengea, S. C., Mijanovic, S., & O’Neill, Z. D.
(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.
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Zhang, Y., O'Neill, Z., Dong, B., & Augenbroe, G.
(2015).
Comparisons of inverse modeling approaches for predicting building energy performance. BUILDING AND ENVIRONMENT.
86, 177-190.
-
Zhang, Y., O'Neill, Z., Dong, B., & Augenbroe, G.
(2015).
Comparisons of inverse modeling approaches for predicting building energy performance. BUILDING AND ENVIRONMENT.
86, 177-190.
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Li, P., Vrabie, D., Li, D., Bengea, S. C., Mijanovic, S., & O’Neill, Z. D.
(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.
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O'Neill, Z., Pang, X., Shashanka, M., Haves, P., & Bailey, T.
(2014).
Model-based real-time whole building energy performance monitoring and diagnostics. Journal of Building Performance Simulation.
7(2), 83-99.
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Li, S., Zhang, D., Roget, A. B., & O'Neill, Z.
(2014).
Integrating Home Energy Simulation and Dynamic Electricity Price for Demand Response Study. 5(2), 779-788.
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Dong, B., O'Neill, Z., & Li, Z.
(2014).
A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics. Automation in Construction.
44, 197-211.
-
Dong, B., O'Neill, Z., Luo, D., & Bailey, T.
(2014).
Development and calibration of an online energy model for campus buildings. Energy and Buildings.
76, 316-327.
-
Dong, B., O’Neill, Z., Luo, D., & Bailey, T.
(2014).
Development and calibration of an online energy model for campus buildings. Energy and Buildings.
76, 316-327.
-
O'Neill, Z.
(2014).
Development of a probabilistic graphical energy performance model for an office building. ASHRAE Transactions.
120(2),
-
O'Neill, Z., & Narayanan, S.
(2014).
Model-based estimation of cold room temperatures in a supermarket refrigeration system. Applied Thermal Engineering.
73(1), 819-830.
-
O'Neill, Z., & Narayanan, S.
(2014).
Model-based estimation of cold room temperatures in a supermarket refrigeration system. Applied Thermal Engineering.
73(1), 819-830.
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Sun, B., Luh, P. B., Jia, Q., O'Neill, Z., & Song, F.
(2014).
Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems. 11(1), 215-229.
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ONeill, Z., & Eisenhower, B.
(2013).
Leveraging the analysis of parametric uncertainty for building energy model calibration. Building Simulation.
6(4), 365-377.
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Dong, B., Gorbounov, M., Yuan, S., Wu, T., Srivastav, A., Bailey, T., & O'Neill, Z.
(2013).
Integrated energy performance modeling for a retail store building. Building Simulation.
6(3), 283-295.
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O'Neill, Z., Bailey, T., Dong, B., Shashanka, M., & Luo, D.
(2013).
Advanced building energy management system demonstration for Department of Defense buildings. Annals of the New York Academy of Sciences.
1295(1), 44-53.
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O'Neill, Z., Bailey, T., Dong, B., Shashanka, M., & Luo, D.
(2013).
Advanced building energy management system demonstration for Department of Defense buildings. Annals of the New York Academy of Sciences.
1295(1), 44-53.
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O'Neill, Z., & Song, F.
(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.
11(1), 215-229.
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Li, P., O'Neill, Z. D., & Braun, J. E.
(2013).
Development of Control-Oriented Models for Model Predictive Control in Buildings. ASHRAE Transactions.
119(2),
-
Adetola, V., Ahuja, S., Bailey, T., Dong, B., Khawaja, T., Luo, D., O’Neill, Z., & Shashanka, M.
(2013).
ESTCP Project EW-201015
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Li, S., Zhang, D., Roget, A. B., & O'Neill, Z.
(2013).
Integrating home energy simulation and dynamic electricity price for demand response study. IEEE Transactions on Smart Grid.
5(2), 779-788.
-
Dong, B., & O’Neill, Z.
(2013).
Real-Time Building Energy Modeling and Fault Detection and Diagnostics for a DoD Building
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Eisenhower, B., O'Neill, Z., Narayanan, S., Fonoberov, V. A., & Mezic, I.
(2012).
A methodology for meta-model based optimization in building energy models. Energy and Buildings.
47, 292-301.
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O'Neill, Z., Eisenhower, B., Fonoberov, V., & Bailey, T.
(2012).
Calibration of a Building Energy Model Considering Parametric Uncertainty. ASHRAE Transactions.
118(2), 189-196.
-
Otto, K., Eisenhower, B., O'Neill, Z., Yuan, S., Mezic, I., & Narayanan, S.
(2012).
Prioritizing building system energy failure modes using whole building energy simulation. 5(1), 545-553.
-
Eisenhower, B., O'Neill, Z., Fonoberov, V. A., & Mezic, I.
(2012).
Uncertainty and sensitivity decomposition of building energy models. Journal of Building Performance Simulation.
5(3), 171-184.
-
Eisenhower, B., O'Neill, Z., Fonoberov, V. A., & Mezić, I.
(2012).
Uncertainty and sensitivity decomposition of building energy models. Journal of Building Performance Simulation.
5(3), 171-184.
-
Eisenhower, B., O’Neill, Z., Narayanan, S., Fonoberov, V. A., & Mezić, I.
(2012).
A methodology for meta-model based optimization in building energy models. Energy and Buildings.
47, 292-301.
-
Bailey, T., O'Neill, Z., Shashanka, M., Haves, P., Pang, X., & Bhattacharya, P.
(2011).
Automated Continuous Commissioning of Commercial Buildings
-
Sun, B., Luh, P. B., & O’Neill, Z.
(2011).
SPC and Kalman filter-based fault detection and diagnosis for an air-cooled chiller. 6(3), 412-423.
-
Bailey, T., O’Neill, Z., Shashanka, M., Haves, P., Pang, X., & Bhattacharya, P.
(2011).
Automated Continuous Commissioning of Commercial Buildings ESTCP Project SI-0929
-
Li, Z., & Augenbroe, G.
(2011).
Database supported BACnet data acquisition system for building energy diagnostics
-
Bailey, T., O’Neill, Z., Shashanka, M., Haves, P., Pang, X., & Bhattacharya, P.
(2011).
ESTCP Project EW-200929
-
O'Neill, Z., Eisenhower, B., Yuan, S., Bailey, T., Narayanan, S., & Fonoberov, V.
(2011).
Modeling and Calibration of Energy Models for a DoD Building. ASHRAE Transactions.
117(2), 358-365.
-
O'Neill, Z., Shashanka, M., Pang, X., Bhattacharya, P., Bailey, T., & Haves, P.
(2011).
Real time model-based energy diagnostics in buildings
-
Sun, B., Luh, P. B., & O’Neill, Z.
(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.
-
O'Neill, Z., Narayanan, S., & Brahme, R.
(2010).
Model-based thermal load estimation in buildings. 4(1), 474-481.
-
Yuan, S., & O'Neill, Z.
(2008).
Testing and validating an equation-based dynamic building program with ASHRAE standard method of test. 3(1), 45-52.
-
O'Neill, Z. D., Spitler, J. D., & Rees, S. J.
(2006).
Performance analysis of standing column well ground heat exchanger systems. ASHRAE Transactions.
112(2), 633-+.
-
Spitler, J. D., Rees, S. J., Deng, Z., Chiasson, A., Orio, C. D., & Johnson, C.
(2002).
R&D studies applied to standing column well design
-
Pang, Z., & O’Neill, Z.
A comparison study of various sensitivity analysis methods in building applications
-
Ahuja, S., & Bailey, T.
AN INTEGRATED INFRASTRUCTURE FOR REAL-TIME BUILDING ENERGY MODELING AND FAULT DETECTION AND DIAGNOSTICS
-
Wen, O., Chen, Y., Wu, P. T., & O’Neill, Z.
Dynamic Bayesian Network for Fault Diagnosis
-
Li, H., Johra, H., Pereira, F., Hong, T., Le Dreau, J., Maturo, A., ... Dong, B.
(2023).
Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives. 343, 121217-121217.
-
book
-
Deng, Z.
(2004).
Modeling of standing column wells in ground source heat pump systems. Oklahoma State University.
-
Deng, Z.
(2004).
Modeling of standing column wells in ground source heat pump systems. Oklahoma State University.
-
chapter
-
O’Neill, Z., Pang, X., Haves, P., Shashanka, M., & Bailey, T.
(2021).
Model-based Real-time Whole Building Energy Performance Monitoring and Diagnostics. Automated Diagnostics and Analytics for Buildings.
(pp. 205-225).
Taylor & Francis.
-
O’Neill, Z., Pang, X., Haves, P., Shashanka, M., & Bailey, T.
(2021).
Model-based Real-time Whole Building Energy Performance Monitoring and Diagnostics. Automated Diagnostics and Analytics for Buildings.
(pp. 205-225).
River Publishers.
-
Ye, Z., O’Neill, Z., Zhang, L., Hu, F., & Chu, Z.
(2020).
Hardware-Based Emulator for Building Energy Cyber-Physical Control with Occupancy Sensing. Advances in Intelligent Systems and Computing.
17th International Conference on Information TechnologyNew Generations (ITNG 2020).
(pp. 493-499).
Springer Nature.
-
O’Neill, Z., Pang, X., Haves, P., Shashanka, M., & Bailey, T.
(2021).
Model-based Real-time Whole Building Energy Performance Monitoring and Diagnostics. Automated Diagnostics and Analytics for Buildings.
(pp. 205-225).
Taylor & Francis.
-
conference paper
-
Li, G., O'Neill, Z., Wen, J., Pradhan, O., Ren, L., Wu, T., ... Zhu, Q. i.
(2023).
CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings. 307-309.
-
Pradhan, O., Wen, J., Chu, M., & O'Neill, Z.
(2023).
Dynamic Bayesian Networks for Fault Prognosis. 296-297.
-
Firsich, T., Yang, Z., & ONeill, Z.
(2023).
Development of a Modelica Model for the Texas A&M Smart and Connected Homes Testbed. 120-127.
-
Xu, S., Fu, Y., Wang, Y., Yang, Z., O'Neill, Z., Wang, Z., & Zhu, Q. i.
(2022).
Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. 89-98.
-
Fu, Y., Xu, S., Zhu, Q. i., & O'Neill, Z.
(2021).
Containerized Framework for Building Control Performance Comparisons: Model Predictive Control vs Deep Reinforcement Learning Control. 276-280.
-
Pradhan, O., Wen, J., Chen, Y., Lu, X., Chu, M., Fu, Y., ... Candan, K. S.
(2021).
Dynamic Bayesian Network-Based Fault Diagnosis for ASHRAE Guideline 36: High Performance Sequence of Operation for HVAC Systems. 365-368.
-
Xu, S., Fu, Y., Wang, Y., O'Neill, Z., & Zhu, Q. i.
(2021).
Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control with Model-assisted Learning. 1-10.
-
Fu, Y., O’Neill, Z., Wen, J., & Adetola, V.
(2021).
EVALUATING THE IMPACT OF CYBER-ATTACKS ON GRID-INTERACTIVE EFFICIENT BUILDINGS
-
Li, G., Fu, Y., Pertzborn, A., Wen, J., & Oneill, Z.
(2021).
An Ice Storage Tank Modelica Model: Implementation and Validation. 177-185.
-
Li, G., Fu, Y., Pertzborn, A., Wen, J., & O’neill, Z.
(2021).
An Ice Storage Tank Modelica Model: Implementation and Validation. 177-185.
-
Huang, J., Wu, T., Yoon, H., Pradhan, O., Wen, J., & O'Neill, Z.
(2021).
Automatic Fault Detection Baseline Construction for Building HVAC Systems using Joint Entropy and Enthalpy. 536-541.
-
Fu, Y., Xu, S., Zhu, Q., & O'Neill, Z.
(2021).
Containerized framework for building control performance comparisons: model predictive control vs deep reinforcement learning control. 276-280.
-
Pradhan, O., Wen, J., Chen, Y., Lu, X., Chu, M., Fu, Y., ... Candan, K. S.
(2021).
Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systems. 365-368.
-
Xu, S., Fu, Y., Wang, Y., O'Neill, Z., & Zhu, Q.
(2021).
Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning. 1-10.
-
Xu, S., Wang, Y., Wang, Y., O'Neill, Z., & Zhu, Q. i.
(2020).
One for Many. 230-239.
-
O'Neill, Z.
(2020).
(Category C): Simulation, Testing and Evaluation of Occupancy Sensor Systems
-
Qian, D., Liu, X., & O'Neill, Z.
(2020).
A Simulation-Based Investigation on the Performance of a Hybrid Ground Source Heat Pump System Integrated with Thermal Energy Storage. ASHRAE Transactions.
214-223.
-
Pang, Z., & O'Neill, Z.
(2020).
A comparison study of various sensitivity analysis methods in building applications. 4498-4506.
-
O’Neill, Z.
(2020).
Development of Control Quality Factor for HVAC Control Loop Performance Assessment (ASHRAE RP-1587)
-
Pang, Z., Chen, Y., Zhang, J., O'Neill, Z., & Xie, Y.
(2020).
Development of baseline building energy models for the advanced occupant-centric building control research in the various US Climates. 526-534.
-
Lu, X., Yang, T., O'Neill, Z., & Zhou, X.
(2020).
ENERGY AND VENTILATION PERFORMANCE ANALYSIS FOR CO2-BASED DEMAND-CONTROLLED VENTILATION IN MULTIPLE ZONE VAV SYSTEMS WITH MULTIPLE RECIRCULATION PATHS. 308-316.
-
Ye, Z., O’Neill, Z., Zhang, L., Hu, F., & Chu, Z.
(2020).
Hardware-Based Emulator for Building Energy Cyber-Physical Control with Occupancy Sensing. 493.
-
Pang, Z., Chen, Y., Metzger, C., Dymond, C., O'Neill, Z., & Zhang, J.
(2020).
Maximizing The Use Of Ductless Mini-split Systems In Residential Buildings With Existing HVAC Equipment In EnergyPlus. 2026-2033.
-
Pang, Z., Chen, Y., O'Neill, Z., Zhang, J., Cheng, H., & Dong, B.
(2020).
Nationwide Energy Saving Analysis for Office Buildings with Occupant Centric Building Controls. ASHRAE Transactions.
224-232.
-
Lu, X., Feng, F., & O'Neill, Z.
(2020).
Occupancy Sensing in Buildings through Social Media from Semantic Analysis (OR-20-C031)
-
Xu, S., Wang, Y., Wang, Y., O'Neill, Z., & Zhu, Q.
(2020).
One for many: Transfer learning for building hvac control. 230-239.
-
Pang, Z., & O'Neill, Z.
(2019).
A Case Study of Sensitivity Analysis of the Domestic Hot Water System in Large Hotels. ASHRAE Transactions.
426-435.
-
Lu, X., Feng, F., & O'Neill, Z.
(2019).
Acquisition of Typical Occupancy Schedules for Commercial Buildings from Social Networks. 77-81.
-
Lu, X., Feng, F., & O'Neill, Z.
(2019).
Acquisition of Typical Occupancy Schedules for Commercial Buildings from Social Networks. 77-81.
-
O'Neill, Z.
(2019).
Advances in Heat Recovery
-
O'Neill, Z.
(2019).
Energy Savings from Demand Controlled Ventilation and the Impact of Sensor Error: Simulation Results from RP-1747
-
Feng, F., & O'Neill, Z.
(2019).
Identifying Models of HVAC Systems Using ARIMAX
-
Qian, D., & ONeill, Z.
(2019).
Modelica-Based Dynamic Modeling of a Solar-Powered Ground Source Heat Pump System: A Preliminary Case Study. 85-92.
-
Qian, D., & O’Neill, Z.
(2019).
Modelica-Based Dynamic Modeling of a Solar-Powered Ground Source Heat Pump System: A Preliminary Case Study. 85-92.
-
Li, Y., & O’Neill, Z.
(2018).
A critical review of fault modeling of HVAC systems in buildings. Building Simulation.
953-975.
-
Xu, P., O'neill, Z., & Pang, Z.
(2018).
Application of Mobile-Internet-Based Occupancy Data in Building Energy Model Calibration: A Case Study (HO-18-C014)
-
Niu, F., O’Neill, Z., & O’Neill, C.
(2018).
Data-driven based estimation of HVAC energy consumption using an improved Fourier series decomposition in buildings. 1-13.
-
Qian, D., Pang, Z., & O'Neill, Z.
(2018).
Evaluation of low-cost particulate matter (PM) sensors: a preliminary investigation
-
Qian, D., Li, Y., Niu, F., & O'neill, Z.
(2018).
Nationwide Savings Analysis of a Variety of Energy Conservation Measures (CH-18-C005)
-
Qian, D., Li, Y., Niu, F., & O'Neill, Z.
(2018).
Nationwide savings analysis of a variety of energy conservation measures
-
Liu, L., Hao, Z., Niu, F., & O'Neill, Z.
(2018).
ENERGY MODELING AND CALIBRATION OF A MIXED-USE BUILDING WITH LABORATORIES, OFFICES AND CLASSROOMS. 534-541.
-
Hao, Z., & O'Neill, Z.
(2018).
MODEL-BASED ESTIMATION OF BUILDING INFILTRATION. 37-44.
-
Niu, F., & O'Neill, Z.
(2017).
Recurrent Neural Network based Deep Learning for Solar Radiation Prediction. 7-9.
-
O'Neill, Z., & Henry, A.
(2016).
Development of a Hardware-in-the-loop Framework with Modelica for Energy Efficient Buildings. 223-224.
-
Sterling, R., Mueller, T., Andriamamonjy, R., Giretti, A., Bonvini, M., O'Neill, Z., ... Boehme, G.
(2016).
IEA Annex 60 activity 2.3: model use during operation, approach and case studies. 1-9.
-
O'Neill, Z., & Henry, A.
(2016).
Development of a Hardware-in-the-loop Framework with Modelica for Energy Efficient Buildings. 223-224.
-
Niu, F., O'Neill, Z., Zuo, W., & Li, Y.
(2015).
Assessment of Different Data-Driven Algorithms for Ahu Energy Consumption Predictions. 7-9.
-
Chen, Y., Hu, M., & ONeill, Z.
(2015).
A Collaborative Decision Model for Low Energy Building Design Optimization. v007t06a025-v007t06a025.
-
Chen, Y., Hu, M., & O’Neill, Z.
(2015).
A Collaborative Decision Model for Low Energy Building Design Optimization. V007T06A025.
-
Zhang, Y., O’Neill, Z., Wagner, T., & Augenbroe, G.
(2013).
An Inverse Model With Uncertainty Quantification To Estimate The Energy Performance Of An Office Building. 25-28.
-
Dong, B., O'Neill, Z., Luo, D., & Trevor, B.
(2013).
DEVELOPMENT AND CALIBRATION OF A REDUCED-ORDER ENERGY PERFORMANCE MODEL FOR A MIXED-USE BUILDING. 636-643.
-
Dong, B., Gorbounov, M., Yuan, S., Wu, T., Srivastav, A., Bailey, T., & O’Neill, Z.
(2013).
Integrated energy performance modeling for a retail store building. Building Simulation.
283-295.
-
O’Neill, Z., & Eisenhower, B.
(2013).
Leveraging the analysis of parametric uncertainty for building energy model calibration. Building Simulation.
365-377.
-
Zhang, Y., O'Neill, Z., Wagner, T., & Augenbroe, G.
(2013).
AN INVERSE MODEL WITH UNCERTAINTY QUANTIFICATION TO ESTIMATE THE ENERGY PERFORMANCE OF AN OFFICE BUILDING. 614-621.
-
Sun, B., Luh, P. B., O'Neill, Z., & Song, F.
(2011).
Building Energy Doctors: SPC and Kalman Filter-Based Fault Detection. 333-340.
-
Eisenhower, B., O’Neill, Z., Narayanan, S., Fonoberov, V. A., & Mezic, I.
(2011).
A comparative study on uncertainty propagation in high performance building design. 14-16.
-
Sun, B., Luh, P. B., O'Neill, Z., & Song, F.
(2011).
Building energy doctors: SPC and Kalman filter-based fault detection. 333-340.
-
Eisenhower, B., Z. D. O’Neill, I. Mezic´.
(2011).
Impact of Uncertainty on High Performance Building Design
-
Pang, X., Bhattacharya, P., O’Neill, Z., Haves, P., Wetter, M., & Bailey, T.
(2011).
Real-time building energy simulation using EnergyPlus and the Building Controls Virtual Test Bed. 2890-2896.
-
Brahme, R., O’Neill, Z., Sisson, W., & Otto, K.
(2009).
Using existing whole building energy tools for designing net-zero energy buildings–challenges and workarounds. 9-16.
-
O’Neill, Z.
(2006).
Modeling of Standing Column Wells in Ground Source Heat Pump Systems
-
Li, G., O'Neill, Z., Wen, J., Pradhan, O., Ren, L., Wu, T., ... Zhu, Q. i.
(2023).
CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings. 307-309.
-
institutional repository document
-
Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., ... O'Neill, Z.
(2022).
A critical review of cyber-physical security for building automation systems
-
Li, G., Yang, Z., Fu, Y., Ren, L., O'Neill, Z., & Parikh, C.
(2022).
Development of a hardware-In-the-Loop (HIL) testbed for cyber-physical security in smart buildings
-
Lu, X., Pang, Z., Fu, Y., & O'Neill, Z.
(2022).
Advances in Research and Applications of Co2-Based Demand-Controlled Ventilation in Commercial Buildings: A Critical Review of Control Strategies and Performance Evaluation
-
Kong, M., Dong, B., Zhang, R., & ONeill, Z.
(2021).
HVAC Energy Savings and IEQ for Occupancy-Based Control by Side-by-Side Experimental Study
-
Kong, M., Dong, B., Zhang, R., & ONeill, Z.
(2021).
HVAC Energy Savings and IEQ for Occupancy-Based Control by Side-by-Side Experimental Study
-
Xu, S., Fu, Y., Wang, Y., O'Neill, Z., & Zhu, Q. i.
(2021).
Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control with Model-assisted Learning
-
Pang, Z., Feng, F., & O'Neill, Z.
(2020).
Investigation of the Impacts of COVID-19 on the Electricity Consumption of a University Dormitory Using Weather Normalization
-
Xu, S., Wang, Y., Wang, Y., O'Neill, Z., & Zhu, Q. i.
(2020).
One for Many: Transfer Learning for Building HVAC Control
-
Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., ... O'Neill, Z.
(2022).
A critical review of cyber-physical security for building automation systems
-
patent
-
O'neill, Z., Narayanan, S., Diebold, M., & Banaszuk, A.
(2015).
Model based system and method for estimating parameters and states in temperature controlled spaces
-
Fan, J., Mijanovic, S., Feng, Y., Fu, D., Shi, R., & O'neill, Z.
(2012).
System and method for controlling a refrigeration system
-
O'neill, Z., Narayanan, S., Diebold, M., & Banaszuk, A.
(2015).
Model based system and method for estimating parameters and states in temperature controlled spaces
-
report
-
Qian, D., O’neill, Z., & Liu, X.
(2020).
A Simulation-Based Investigation on the Performance of a Hybrid Ground Source Heat Pump System Integrated With Thermal Energy Storage
-
O'neill, Z., Narayanan, S., Diebold, M., & Banaszuk, A.
(2018).
System and procedure based on a model that makes estimate parameters and conditions in temperature controlled rooms
-
Sun, K., O'Neill, Z., Heo, Y., New, J. R., & Adams, M. B.
(2017).
What's New in Building Energy Model Calibration
-
Narayanan, S., Ahuja, S., Desai, N., O'Neill, Z., Peles, S., Surana, A., ... Fonoberov, V.
(2012).
A Systems Approach to High Performance Buildings: A Computational Systems Engineering R&D Program to Increase DoD Energy Efficiency
-
Bailey, T., O'Neill, Z., Shashanka, M., Haves, P., Pang, X., & Bhattacharya, P.
(2011).
Automated continuous commissioning of commercial buildings
-
Qian, D., O’neill, Z., & Liu, X.
(2020).
A Simulation-Based Investigation on the Performance of a Hybrid Ground Source Heat Pump System Integrated With Thermal Energy Storage
Research
principal investigator on
- Collaborative Research: AccelNet: An International Network of Networks for Well-being in the Built Environment (IN2WIBE) awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2019 - 2022
- PFI-RP: Data-Driven Services for High Performance and Sustainable Buildings awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2020 - 2021
- RAPID: Smart Ventilation Control May Reduce Infection Risk for COVID-19 in Public Buildings awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2020 - 2021
- Collaborative Research: Adaptive, Multi-Layered Fenestration Elements for Optimum Building Energy Performance and Occupant Comfort (Polycarpou, Andreas) awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2019 - 2021
Teaching
teaching activities
- AREN489 Sptp: Smart Bldg Tech Instructor
- MEEN437 Prin Bldg Energy Analy Instructor
- MEEN489 Sptp: Smart Building Techn Instructor
- MEEN491 Hnr-research Instructor
- MEEN684 Professional Internship Instructor
- MEEN684 Professional Internship Instructor
- MEEN685 Directed Studies Instructor
- MEEN691 Research Instructor
Background
education and training
awards and honors
Contact
first name
- Zheng
has last name
- O'Neill
Other
In the News
- zoneill@tamu.edu