General

Kang, Xuyuan, Ph.D., Associate Professor

School of Space Exploration, University of Chinese Academy of Sciences

Email: kangxuyuan@ucas.ac.cn

Address: East Campus, University of Chinese Academy of Sciences, No. 1 Yanqihu East Road, Huairou District, Beijing, 101408

Research Areas

  • Thermal Process and Control of Built Environment
  • Simulation and Optimization of Energy Systems
  • AI in Built Environment and Energy Managements
  • Building Performance Simulation

Education

Ph.D. School of Architecture, Tsinghua University, 2018 - 2023

Bachelor School of Architecture, Tsinghua University, 2014 - 2018

Experience

Postdoctoral Researcher School of Architecture, Tsinghua University, 2023 - 2026

Associate Professor School of Space Exploration, University of Chinese Academy of Sciences, 2026 - now

Selected Publications

[1] Kang X., Wang., Liu Z., Wu Y., Liu X., Yan D.* (2025). Building microgrid profile scheduler (BMPS): A web-based open tool for operation profile dispatching towards flexible energy system design and control. Energy and Buildings, 348: 116458.

[2] Kang X., Wang X., Liu Z., Wu Y., Liu X., Yan D.* (2025). Capacity optimization and carbon-effective assessment of building micro-grids integrating PV, EV, and energy storages. Sustainable Cities and Society, 130: 106566.

[3] Kang X., Chen H., Dou Z., Wang X., Liu Z., Zhang C., Jia K., Yan D.* (2024). A district-level building electricity use profile simulation model based on probability distribution inferences. Sustainable Cities and Society, 115: 105822.

[4] Kang X., Xu H., Wang X., Chen S., Liu Z., Wang Y., Yan D.* (2024). Distribution and correlation analysis of typical features of electricity use profiles in non-residential buildings. Journal of Building Engineering, 95: 110025.

[5] Kang X., Wang X., An J., Yan D.* (2023). A novel physical-feature-based approach for stochastic simulation of typical building electricity use profiles. Energy and Buildings, 302: 113742.

[6] Kang X., An J., Yan D.* (2023). A systematic review of building electricity use profile models. Energy and Buildings, 281: 112753.

[7] Kang X., Wu Y., Yan D.*, Zhu Y., Yao Y., Sun H. (2022). A novel approach for occupants' horizontal and vertical movement modeling in non-residential buildings using immersive virtual environment (IVE). Sustainable Cities and Society, 87: 104193.

[8] Kang X., Wang X., An J., Yan D.* (2022). A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings. Energy and Buildings, 275: 112478.

[9] Kang X., Yan D.*, Xie X., An J., Liu Z. (2022). Co-simulation of dynamic underground heat transfer with building energy modeling based on equivalent slab method. Energy and Buildings, 256:111728.

[10] Kang X., Yan D.*, An J., Jin Y., Sun H. (2021). Typical weekly occupancy profiles in non-residential buildings based on mobile positioning data. Energy and Buildings, 250:111264.

[11] Wang X., Liu X., Kang X.*, Xiao F., Yan D.* (2025). Prediction-based control of energy storage systems using dynamic accuracy weighting. Advances in Applied Energy, 20:100246.

[12] Wang X., Xu H., Fan C., Tan S., Kang X.*, Shi Y., Yan D.* (2025). Leveraging reinforcement learning for optimal control of chiller plant with complex hydraulic and thermodynamic characteristics. Energy and Buildings, 344:116037.

[13] Zhou Y., Geng R., Kang X.*, Xu H., Wang X., Li R., Yan D.* (2025). A novel interpolation method for high temporal-resolution electricity usages based on volatility quantification and pattern extraction. Energy and Buildings, 346:116174.

[14] Yan D., Zhou X., An J., Kang X., et al. (2022). DeST 3.0: A new-generation building performance simulation platform. Building Simulation, 15(11): 1849–1868.

[15] Fan C., Yan D., Xiao F., Li A., An J., Kang X.. (2020). Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches. Building Simulation, 14(1): 3–24.

[16] Dong B., Markovic R., Carlucci S., ..., Kang X.. (2022). A guideline to document occupant behavior models for advanced building controls. Building and Environment, 219: 109195.

Research Projects

  • Youth Science Fund of National Natural Science Foundation of China, PI, 2025.01 - 2027.12
  • National Support Program Level-B for Postdoctoral Fellowship, PI, 2023.09 - 2025.09
  • Special Support Fund of China Postdoctoral Science Foundation, PI, 2025.06 - 2026.06
  • General Project of China Postdoctoral Science Foundation, PI, 2024.09 - 2026.06
  • Shuimu Tsinghua Scholar Support Project, PI, 2023.09 - 2025.09
  • EU-China BRIDGE project (Co-funded by HORIZON of EU and National Key R&D Program of China), Project Coordinator, 2023.12 - 2026.11
  • National Key R&D Program of China, Project Coordinator, 2017.07 - 2021.06
  • International Cooperative Fund of National Natural Science Foundation of China, Co-PI, 2026.01 - 2029.12
  • IEA EBC Annex 96, Subtask B & C Participant, 2025.07 - 2028.06
  • IEA EBC Annex 79, Subtask B Participant, 2018.07 - 2023.06

Links

  • Web of Science: https://webofscience.clarivate.cn/wos/author/record/AAF-2037-2019
  • Scopus: https://www.scopus.com/authid/detail.uri?authorId=57207956892
  • Google Scholar: https://scholar.google.com/citations?user=tiQ4sNAAAAAJ&hl=en
  • ResearchGate: https://www.researchgate.net/profile/Xuyuan-Kang
  • LinkedIn: https://www.linkedin.com/in/xuyuan-kang-981846210/
  • ORCID: https://orcid.org/0000-0002-7809-8218

Academic Activities

  • 2024.07 - now, Youth Editorial Board Member of Building Simulation journal
  • 2025.09 - now, Guest Editor of Energy and Buildings journal
  • 2025.06 - now, Member of ASHRAE TC 7.10
  • 2023.11 - now, Member of Building Simulation Committee of China Simulation Association