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Journal Publications

  1. Zhou, Y*., Zheng, S., Lei, J., & Zi, Y. (2023). A cross-scale modelling and decarbonisation quantification approach for navigating Carbon Neutrality Pathways in China. Energy Conversion and Management, 297, 117733.

  2. Liu, Z., Zhou, Y*., Yan, J., & Tostado-Véliz, M. (2023). Frontier ocean thermal/power and solar PV systems for transformation towards net-zero communities. Energy, 284, 128362.

  3. Zhou, Y*., Liu, X., & Zhao, Q. (2023). A stochastic vehicle schedule model for demand response and grid flexibility in a renewable-building-e-transportation-microgrid. Renewable Energy, 119738.

  4. Zheng, X., & Zhou, Y*. (2023). Dynamic heat-transfer mechanism and performance analysis of an integrated Trombe wall with radiant cooling for natural cooling energy harvesting and air-conditioning. Energy, 129649.

  5. Pan, D., Yu, X., & Zhou, Y*. (2023). Cradle-to-grave lifecycle carbon footprint analysis and frontier decarbonization pathways of district buildings in subtropical Guangzhou, China. Journal of Cleaner Production, 416, 137921.

  6. Liu, Z., Zhang, X., Sun, Y*., & Zhou, Y*. (2023). Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—A state-of-the-art review. Energy and Buildings, 113436.

  7. Song A., Zhou Y.*. A hierarchical control with thermal and electrical synergies on battery cycling ageing and energy flexibility in a multi-energy sharing network. Renewable Energy. 2023 Aug 1;212:1020-37.

  8. Song A., Zhou Y.*. Advanced cycling ageing-driven circular economy with E-mobility-based energy sharing and lithium battery cascade utilisation in a district community. Journal of Cleaner Production. 2023 Jun 13:137797.

  9. Zhou Y.*. Worldwide carbon neutrality transition? Energy efficiency, renewable, carbon trading and advanced energy policies. Energy Reviews. 2023 May 19:100026.

  10. Liu Z., Xie M., Zhou Y.*, He Y., Zhang L., Zhang G., Chen D. A state-of-the-art review on shallow geothermal ventilation systems with thermal performance enhancement system classifications, advanced technologies and applications. Energy and Built Environment. 2023 Apr 1;4(2):148-68.

  11. Zhou Y.*. Uncertainty-Based Battery Sizing in District Energy Community with Distributed Renewable Systems. In Solar Energy: Advancements and Challenges 2023 Mar 8 (pp. 19-38). River Publishers.

  12. Xu G., Li X., Fu J., Zhou Y., Xia X., Zi Y*. Environmental life cycle assessment of CO2-filled triboelectric nanogenerator toward Carbon Neutrality. Energy & Environmental Science 2023, DOI: 10.1039/D2EE04119G

  13. Zheng X., Zhou Y.*. A three-dimensional unsteady numerical model on a novel aerogel-based PV/T-PCM system with dynamic heat-transfer mechanism and solar energy harvesting analysis. Applied Energy 2023, 338, 120899

  14. Zhou Y.*, Lund P.D. Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration. Renewable Energy 2023, 207, 177-193

  15. Zhou Y.*, Liu Z. A cross-scale‘material-component-system’ framework for transition towards zero-carbon buildings and districts with low, medium and high-temperature phase change materials. Sustainable Cities and Society 2022, 104378

  16. Zhou Y.*. A dynamic self-learning grid-responsive strategy for battery sharing economy—multi-objective optimisation and posteriori multi-criteria decision making. Energy 2023.

  17. Zhou L., Zhou Y.*. Study on thermo-electric-hydrogen conversion mechanisms and synergistic operation on hydrogen fuel cell and electrochemical battery in energy flexible buildings. Energy Conversion and Management 2023.

  18. Zhou Y.*. Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimization. Renewable Energy 2023.

  19. Zhou Y.*. Climate change adaptation with energy resilience in energy districts—A state-of-the-art review. Energy and Buildings 2023, 279, 112649.

  20. Zhou Y.*. Incentivising multi-stakeholders’ proactivity and market vitality for spatiotemporal microgrids in Guangzhou-Shenzhen-Hong Kong Bay Area. Applied Energy 2022, 328, 120196.

  21. Zhou Y.*. Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation. Renewable & Sustainable Energy Reviews 2022, 162,112444.  DOI:https://doi.org/10.1016/j.rser.2022.112444.

  22. Zhou Y.*.  A multi-stage supervised learning optimisation approach on an aerogel glazing system with stochastic uncertainty. Energy 2022, 258, 124815. DOI: https://doi.org/10.1016/j.energy.2022.124815.

  23. Zhou Y.*. Advances in energy flexible buildings–perspectives and challenges, Energy and AI 2022;21:100187. DOI: https://doi.org/10.1016/j.egyai.2022.100187.

  24. Zhou Y.*. Low-carbon transition in smart city with sustainable airport energy ecosystems and hydrogen-based renewable-grid-storage-flexibility," Energy Reviews 2022;1: 100001. DOI: https://doi.org/10.1016/j.enrev.2022.100001.

  25.  Liu J., Zhou Y., Yang H.,  Wu H. Net-zero energy management and optimization of commercial building sectors with hybrid renewable energy systems integrated with energy storage of pumped hydro and hydrogen taxis, Applied Energy 2022;321: 119312. DOI: https://doi.org/10.1016/j.apenergy.2022.119312.

  26.  Xie M. ,  Qiu Y.,  Liang Y., Zhou Y. , Liu Z. ,  Zhang G." Policies, applications, barriers and future trends ofbuilding information modeling technology for building sustainability and informatization in China," Energy Reports 2022;8: 7107-7126. DOI: https://doi.org/10.1016/j.egyr.2022.05.008.

  27. Liu, Z., Sun, Y., Xing, C., Liu, J., He, Y., Zhou Y.,  Zhang, G. "Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives, " Energy and AI 2022;10: 100195. DOI: https://doi.org/10.1016/j.egyai.2022.100195.

  28. Zhou Y*, "Ocean energy applications for coastal communities with artificial intelligence–a state-of-the-art review". Energy and AI 2022;10:100189. DOI: https://doi.org/10.1016/j.egyai.2022.100189.

  29. Zhou Y*, "A regression learner-based approach for battery cycling ageing prediction―advances in energy management strategy and techno-economic analysis," Energy 2022, DOI : https://doi.org/10.1016/j.energy.2022.124668.

  30. He Y. , Zhou Y*,  Liu J.,  Liu Z.,  Zhang G. An inter-city energy migration framework for regional energy balance through daily commuting fuel-cell vehicles, Applied Energy 2022,324, 119714.  DOI: https://doi.org/10.1016/j.apenergy.2022.119714.,"

  31. Zhou Y*,Energy sharing and trading on a novel spatiotemporal energy network in Guangdong-Hong Kong-Macao Greater Bay Area,” Applied Energy 2022, 318, 119131.DOI: https://doi.org/10.1016/j.apenergy.2022.119131.

  32. He, Y., Zhou Y*, Yuan, J., Liu, Z., Wang, Z., Zhang, G Transformation towards a carbon-neutral residential community with hydrogen economy and advanced energy management strategies,” Energy Conversion and Management 2021, 249, 114834DOI: https://doi.org/10.1016/j.enconman.2021.114834

  33. Zhou Y*,Artificial neural network-based smart aerogel glazing in low-energy buildings: A state-of-the-art review,” Iscience 2021, 24, 103420. DOI: https://doi.org/10.1016/j.isci.2021.103420

  34. Liu Z, Xie M, Zhou Y*, Y He, L Zhang, G Zhang, D Chen., “A state-of-the-art review on shallow geothermal ventilation systems with thermal performance enhancement system classifications, advanced technologies and applications,” Energy and Built Environment 2021. DOI: https://doi.org/10.1016/j.enbenv.2021.10.003

  35. Zhou Y, Cao S,  Hensen J.L.M.,An energy paradigm transition framework from negative towards positive district energy sharing networks—battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings interactions, uncertainty and sensitivity analysis,” Applied Energy 2021, 288,116606. DOI: https://doi.org/10.1016/j.apenergy.2021.116606

  36. Liu J, Yang H, Zhou Y, Peer-to-peer trading optimizations and complementary operation on diversified net-zero energy community integrated with hydrogen vehicle and battery vehicle storage, Applied Energy 2021, 302, 117578. DOI: https://doi.org/10.1016/j.apenergy.2021.117578.  (Best paper award by CUE 2020: Applied Energy Symposium)

  37. He, Y., Zhou Y*., Wang, Z., Liu, J., Liu, Z., Zhang, G.Quantification on fuel cell degradation and techno-economic analysis of a hydrogen-based grid-interactive residential energy sharing network with fuel-cell-powered vehicles Applied Energy 2021, 303, 117444. DOI: https://doi.org/10.1016/j.apenergy.2021.117444

  38. Liu J,  Yang H, Zhou Y, “Peer-to-peer energy trading of zero-energy communities with hybrid renewable energy systems integrating hydrogen vehicle storage,” Applied Energy 2021, 298, 117206. DOI: https://doi.org/10.1016/j.apenergy.2021.117206

  39. Qin D, Liu Z, Y Zhou*, Z Yan, D Chen, G Zhang., “Dynamic performance of a novel air-soil heat exchanger coupling with diversified energy storage components—modelling development, experimental verification, parametrical design and robust operation,” Renewable Energy 2021, 167, 542-557. DOI:https://doi.org/10.1016/j.renene.2020.11.113

  40. Z Liu, P Sun, M Xie, Y Zhou*, Y He, G Zhang, D Chen, S Li, Z Yan, D Qin, “Multivariant optimization and sensitivity analysis of an experimental vertical earth-to-air heat exchanger system integrating phase change material with Taguchi method,” Renewable Energy 2021, 173, 404-414. DOI: https://doi.org/10.1016/j.renene.2021.03.106

  41. Zhou Y., Zheng, S, Zhang G, “Machine learning-based optimal design of a phase change material integrated renewable system with on-site PV, radiative cooling and hybrid ventilations—study of modelling and application in five climatic regions,” Energy 2020, 192, 116608.DOI: https://doi.org/10.1016/j.energy.2019.116608 (1% ESI highly cited paper)

  42. Zhou Y*., Zheng, S, Zhang G, “Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ uncertainties,” Renewable Energy 2020, 151, 403-418. DOI: https://doi.org/10.1016/j.renene.2019.11.037 (1% ESI highly cited paper)

  43. Tang L, Zhou Y*., Zheng, S, Zhang G, “Exergy-based optimisation of a phase change materials integrated hybrid renewable system for active cooling applications using supervised machine learning method,” Solar Energy, 2020, 195: 514-526.  (1% ESI highly cited paper)

  44. Zhou Y*, Zheng S, Liu Z, Wen T, Ding Z, Yan J, Zhang G.Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optimisations: A state-of-the-art review,” Renewable & Sustainable Energy Reviews 2020, 130, 109889. DOI: https://doi.org/10.1016/j.rser.2020.109889

  45. Zhou Y, Zheng S. Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities. Applied Energy 2020, 262, 114416. DOI: https://doi.org/10.1016/j.apenergy.2019.114416

  46. Zhou Y., Cao S, Hensen J.L.M., Hasan A. Heuristic battery-protective strategy for energy management of an interactive renewables–buildings–vehicles energy sharing network with high energy. Energy Conversion and Management 2020, 214, 112891. DOI: https://doi.org/10.1016/j.enconman.2020.112891

  47. Zhou Y., Cao S, R Kosonen, M Hamdy. Multi-objective optimisation of an interactive buildings-vehicles energy sharing network with high energy flexibility using the Pareto archive NSGA-II algorithm. Energy Conversion and Management 2020, 218, 113017. DOI: https://doi.org/10.1016/j.enconman.2020.113017.

  48. Zhou Y., Cao S. Coordinated multi-criteria framework for cycling aging-based battery storage management strategies for positive building–vehicle system with renewable depreciation: Life-cycle based techno-economic feasibility study. Energy Conversion and Management 2020, 226, 113473. DOI: https://doi.org/10.1016/j.enconman.2020.113473.

  49. Zhou Y, Zheng S. Machine learning-based multi-objective optimisation of an aerogel glazing system using NSGA-II—study of modelling and application in the subtropical climate Hong Kong. Journal of Cleaner Production 2020,253, 119964. DOI: https://doi.org/10.1016/j.jclepro.2020.119964.

  50. Zhou Y., Zheng, S. Stochastic uncertainty-based optimisation on an aerogel glazing building in China using supervised learning surrogate model and a heuristic optimisation algorithm. Renewable Energy 2020, 155, 810-216. DOI: https://doi.org/10.1016/j.renene.2020.03.122.

  51. Zhou Y., Zheng, S. Climate adaptive optimal design of an aerogel glazing system with the integration of a heuristic teaching-learning-based algorithm in machine learning-based optimization. Renewable Energy, 2020. 153, 375-391.DOI: https://doi.org/10.1016/j.renene.2020.01.133

  52. Zhou Y*, Zheng, S, Zhang G. A review on cooling performance enhancement for phase change materials integrated systems—flexible design and smart control with machine learning applications. Building and Environment 2020, 174, 106786. DOI: https://doi.org/10.1016/j.buildenv.2020.106786.

  53. Zhou Y., Zheng, S, Zhang G. A state-of-the-art-review on phase change materials integrated cooling systems for deterministic parametrical analysis, stochastic uncertainty-based design, single and multi-objective optimisations with machine learning applications. Energy and Buildings 2020, 220, 110013. DOI: https://doi.org/10.1016/j.enbuild.2020.110013.

  54. Zhou Y., Zheng, S. Multi-level uncertainty optimisation on phase change materials integrated renewable systems with hybrid ventilations and active cooling. Energy 2020, 202, 117747. DOI: https://doi.org/10.1016/j.energy.2020.117747.

  55. Zhou Y., Zheng S. Uncertainty study on thermal and energy performances of a deterministic parameters based optimal aerogel glazing system using machine-learning method. Energy, 2020. DOI: https://doi.org/10.1016/j.energy.2019.116718.

  56. Alabi TM, Lu L, Yang Z, Zhou Y. A novel optimal configuration model for a zero-carbon multi-energy system (ZC-MES) integrated with financial constraints. Sustainable Energy, Grids and Networks 2020, 23, 100381. DOI: https://doi.org/10.1016/j.segan.2020.100381.

  57. L Tang, Z Liu, Y Zhou*, D Qin, G Zhang. Study on a dynamic numerical model of an underground air tunnel system for cooling applications—experimental validation and multi-dimensional parametrical analysis. Energies 2020. DOI: 10.3390/en13051236.

  58. Zhou Y., Cao S. Quantification of energy flexibility of residential net-zero-energy buildings involved with dynamic operations of hybrid energy storages and diversified energy conversion strategies. Sustainable Energy, Grids and Networks 2020, 21, 100304. DOI: https://doi.org/10.1016/j.segan.2020.100304.

  59. Zhou Y., Cao S, Hensen J.L.M., Lund P.D. Energy integration and interaction between buildings and vehicles: a state-of-the-art review. Renewable and Sustainable Energy Reviews 2019, 114, 109337. DOI: https://doi.org/10.1016/j.rser.2019.109337.

  60. Zhou Y, Sunliang Cao. Energy flexibility investigation of advanced grid-responsive energy control strategies with the static battery and electric vehicles: A case study of a high-rise office building in Hong Kong. Energy Conversion and Management. 2019, 199, 111888. DOI: https://doi.org/10.1016/j.enconman.2019.111888.

  61. Zhou Y*., Zheng, S, Zhang G. Artificial neural network based multivariable optimization of a hybrid system integrated with phase change materials, active cooling and hybrid ventilations. Energy Conversion and Management 2019, 197, 111859. DOI: https://doi.org/10.1016/j.enconman.2019.111859.

  62. J Yan, L Lu, T Ma, Zhou Y., CY Zhao. Thermal management of the waste energy of a stand-alone hybrid PV-wind-battery power system in Hong Kong. Energy Conversion and Management 2020, 203, 112261. DOI: https://doi.org/10.1016/j.enconman.2019.112261.

  63. Zhou Y., Zheng S. , G. Zhang. Multivariable optimisation of a new PCMs integrated hybrid renewable system with active cooling and hybrid ventilations. Journal of Building Engineering 2019, 26, 100845. DOI: https://doi.org/10.1016/j.jobe.2019.1008458.

  64. Zheng S, Zhou Y*. Numerical Study on the Thermal and Optical Performances of an Aerogel Glazing System with the Multivariable Optimization Using an Advanced Machine Learning Algorithm. Advanced Theory and Simulations 2019 . DOI: https://onlinelibrary.wiley.com/doi/full/10.1002/adts.201900092 (inside front cover)

  65. Zhou Y., C.W. Yu. The year-round thermal performance of a new ventilated Trombe wall integrated with phase change materials in the hot summer and cold winter region of China. Indoor and Built Environment 2019. 28,195-216.

  66. Liu, X., Zhou Y.*, Li, C.-Q., Lin, Y., Yang, W., Zhang, G. Optimization of a new phase change material integrated photovoltaic/thermal panel with the active cooling technique using taguchi method. Energies 2019, 12(6), 1022

  67. Zhou Y, Zheng, S, Zhang G. Study on the energy performance enhancement of a new PCMs integrated hybrid system with the active cooling and hybrid ventilations. Energy 2019; 179: 111-128

  68. Zhou Y, Chuck W F, Zhang G. Study on heat-transfer mechanism of wallboards containing active phase change material and parameter optimisation with ventilation. Applied Thermal Engineering 2018, 144:1091-1108

  69.  Liu X., Zhou Y*.,  Zhang G.. Numerical study on cooling performance of a ventilated Trombe wall with phase change materials. Building Simulation 2018, 11(7):1-18

  70. Zhou Y., Zhun Yu, Jinan He, Shuisheng Li, Shenghui Ren, Yi He, Guoqiang Zhang, Study on the Model and Application of a New Structure Domestic Hot Water Tank Integrated with Phase Change Material, Building Science 2017; 33(2): 27-33

  71. Zhou Y., Zheng, S., Chen, H., Zhang, G. Thermal performance and optimized thickness of active shape-stabilized PCM boards for side-wall cooling and under-floor heating system. Indoor and Built Environment 2016, 25(8):1279-1295

Conference Proceedings and Book Chapters

  1. Zhou Y., S Cao. Investigation of the flexibility of a residential net zero energy building (NZEB) integrated with an electric vehicle in Hong Kong. Energy Procedia. 10th International Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong, China.

  2. Zhou Y*., X Liu, G Zhang, Performance of buildings integrated with a photovoltaic–thermal collector and phase change materials, Procedia Engineering 2017; 205:1337–1343.

  3. Zhou Y., Liu Z, Zheng S. Chapter 15 Influence of novel PCMs based strategies on building cooling performance. Book: Eco-efficient Materials for Reducing Cooling Needs in Buildings and Construction. Design, Properties and Applications, 2020. Woodhead Publishing Series in Civil and Structural Engineering (Publisher: ELSEVIER)

  4. Zhou Y. Chapter 8 Advanced renewable dispatch with machine-learning based hybrid demand-side controllerstate-of-the-art and a novel approach. Book: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies. 2022. (Publisher: ELSEVIER)

  5. Zhou Y. Chapter 9: A machine learning-based design approach on PCMs-PV systems with multilevel scenario uncertainty. Book: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies. 2022. (Publisher: ELSEVIER).    

  6. Zhou Y., Liu J. Chapter 10 Agent-based peer-to-peer energy trading between prosumers and consumers with cost-benefit business models. Book: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies. 2022. (Publisher: ELSEVIER)

  7. Zhou Y., Liu Z, Xing C. Chapter 13 Application of abandoned wells integrated with renewables. Book: Utilization of Thermal Potential of Abandoned Wells. 2022. (Publisher: ELSEVIER)

  8. Liu Z, Zeng C, Zhou Y., Xing C. Chapter 15 The main utilization forms and current developmental status of geothermal energy for building cooling/heating in developing countries. 2022. Book: Utilization of Thermal Potential of Abandoned Wells (Publisher: ELSEVIER)


For more details, please contact Dr. Yuekuan ZHOU via yuekuanzhou@ust.hk