Projects per year
Personal profile
Research Interests
- Data-driven and physics-based modeling and calibration of integrated energy systems
- Energy efficient control and operation of industrial HVAC systems
- Smart and low carbon buildings, communities and industrial parks
Personal profile
Dr. Zhang has international and interdisciplinary experience in both building and urban energy systems and data science. He obtained his Bachelor's degree in the field of building services engineering at the University of Nottingham. After that, he completed his Ph.D. with a focus on reinforcement learning-based HVAC control from Carnegie Mellon University in 2019. During his Ph.D., he was also a visiting researcher at the National University of Singapore, where he conducted research on Bayesian calibration of building energy models. Before joining UNNC in 2020, Dr. Zhang worked as a senior algorithm engineer in Alibaba Cloud. In Alibaba, he was responsible for the development of the data intelligence algorithms for city-level energy systems, including district heating/cooling systems and water systems.
Currently, Dr. Zhang’s research focuses on the fusion of artificial intelligence and integrated energy systems at community and urban scale. His research covers various aspects of artificial intelligence, including deep learning, reinforcement learning, Bayesian methods, etc. The models and algorithm he developed has been implemented and validated in real-life commercial projects.
Teaching
- Architectural Engineering Design 1 (ABEE1025)
- Research Project (ABEE3023)
- Smart Energy Systems
Education/Academic qualification
PhD, Building Performance and Diagnostics, Carnegie Mellon University
Aug 2016 → Dec 2019
Award Date: 18 Dec 2019
Master, Building Performance and Dianostics, Carnegie Mellon University
Aug 2014 → May 2016
Award Date: 15 May 2016
Bachelor, Architectural Environment Engineering
Sept 2010 → Jul 2014
Award Date: 7 Jul 2014
Person Types
- Staff
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Network
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Study and demonstration of low carbon design and optimization of integrated energy systems in communities
Zhang, Z., Hong, Y., Xi, W., Shao, J., Deng, W., Zhou, T., Xia, L., Lun, I. Y. F. & Lu, J.
1/07/22 → 30/06/25
Project: Government Funded Projects › Vertical-Ningbo Municipal Government Funded Projects
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Application and Implementation of AI Algorithm in HVAC
15/10/20 → 14/10/23
Project: Contract Projects › Horizontal-Contract Projects out of Zhejiang Province
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Altas and technology proposals for ultra-low energy building of villages in Ningbo
Deng, W., Zhou, T., Zhang, Z. & Xie, J.
15/09/22 → 31/01/23
Project: Contract Projects › Horizontal-Ningbo Municipal Contract Projects
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Dynamic simulation and analysis for heating and air-conditioning energy load of old communities in Ningbo – a case study of Huamao Teachers’ Apartment of Zhonggongmiao subdistrict
Zhang, Z., Deng, W. & Zhou, T.
1/08/22 → 1/05/23
Project: Contract Projects › Horizontal-Ningbo Municipal Contract Projects
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Product development and application of physics-based+data-driven hybrid energy modeling for industrial HVAC systems
1/03/22 → 30/06/22
Project: Contract Projects › Horizontal-Contract Projects out of Zhejiang Province
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Influence of an integrated value-based asset condition assessment in built asset management
Ye, Z., Kapogiannis, G., Tang, S., Zhang, Z., Jimenez-Bescos, C. & Yang, T., 2023, (Accepted/In press) In: Construction Innovation.Research output: Journal Publication › Article › peer-review
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An urban-level prediction of lockdown measures impact on the prevalence of the COVID-19 pandemic
Pourroostaei Ardakani, S., Xia, T., Cheshmehzangi, A. & Zhang, Z., 5 Sept 2022, In: Genus. 78, 1, 28.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus) -
A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings
Lei, Y., Zhan, S., Ono, E., Peng, Y., Zhang, Z., Hasama, T. & Chong, A., 15 Oct 2022, In: Applied Energy. 324, 18 p., 119742.Research output: Journal Publication › Article › peer-review
13 Citations (Scopus) -
End-to-end deep reinforcement learning control for HVAC systems in office buildings
Zhong, X., Zhang, Z., Zhang, R. & Zhang, C., 4 Jun 2022, In: Designs. 6, 3, 21 p., 52.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus) -
Energy efficient operation optimization of building air-conditioners via simulator-assisted asynchronous reinforcement learning
Zhang, W. & Zhang, Z., 2022, In: IOP Conference Series: Earth and Environmental Science. 1048, 1, 012006.Research output: Journal Publication › Conference article › peer-review
Open Access1 Citation (Scopus)