IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v192y2020ics0360544219323035.html
   My bibliography  Save this article

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

Author

Listed:
  • Zhou, Yuekuan
  • Zheng, Siqian
  • Zhang, Guoqiang

Abstract

The widespread application of advanced renewable systems with optimal design can promote the cleaner production, reduce the carbon dioxide emission and realise the renewable and sustainable development. In this study, a phase change material integrated hybrid system was demonstrated, involving with advanced energy conversions and multi-diversified energy forms, including solar-to-electricity conversion, active water-based and air-based cooling, and distributed storages. A generic optimization methodology was developed by integrating supervised machine learning and heuristic optimization algorithms. Multivariable optimizations were systematically conducted for widespread application purpose in five climatic regions in China. Results showed that, the energy performance is highly dependent on mass flow rate and inlet cooling water temperature with contribution ratios at around 90% and 7%. Furthermore, compared to Taguchi standard orthogonal array, the machine-learning based optimization can improve the annual equivalent overall output energy from 86934.36 to 90597.32 kWh (by 4.2%) in ShangHai, from 86335.35 to 92719.07 (by 7.4%) in KunMing, from 87445.1 to 91218.3 (by 4.3%) in GuangZhou, from 87278.24 to 88212.83 (by 1.1%) in HongKong, and from 87611.95 to 92376.46 (by 5.4%) in HaiKou. This study presents optimal design and operation of a renewable system in different climatic regions, which are important to realise renewable and sustainable buildings.

Suggested Citation

  • Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2020. "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 clima," Energy, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323035
    DOI: 10.1016/j.energy.2019.116608
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219323035
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.116608?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M. & Lund, Peter D., 2019. "Energy integration and interaction between buildings and vehicles: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Ahmad, Tanveer & Chen, Huanxin & Huang, Ronggeng & Yabin, Guo & Wang, Jiangyu & Shair, Jan & Azeem Akram, Hafiz Muhammad & Hassnain Mohsan, Syed Agha & Kazim, Muhammad, 2018. "Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment," Energy, Elsevier, vol. 158(C), pages 17-32.
    3. Smith, Christopher J. & Forster, Piers M. & Crook, Rolf, 2014. "Global analysis of photovoltaic energy output enhanced by phase change material cooling," Applied Energy, Elsevier, vol. 126(C), pages 21-28.
    4. Li, Zhenpeng & Ma, Tao & Zhao, Jiaxin & Song, Aotian & Cheng, Yuanda, 2019. "Experimental study and performance analysis on solar photovoltaic panel integrated with phase change material," Energy, Elsevier, vol. 178(C), pages 471-486.
    5. Lin, Wenye & Ma, Zhenjun, 2016. "Using Taguchi-Fibonacci search method to optimize phase change materials enhanced buildings with integrated solar photovoltaic thermal collectors," Energy, Elsevier, vol. 106(C), pages 23-37.
    6. Peng, Jinqing & Lu, Lin & Yang, Hongxing & Ma, Tao, 2015. "Comparative study of the thermal and power performances of a semi-transparent photovoltaic façade under different ventilation modes," Applied Energy, Elsevier, vol. 138(C), pages 572-583.
    7. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2020. "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, Elsevier, vol. 151(C), pages 403-418.
    8. Zhao, Bin & Hu, Mingke & Ao, Xianze & Chen, Nuo & Xuan, Qingdong & Jiao, Dongsheng & Pei, Gang, 2019. "Performance analysis of a hybrid system combining photovoltaic and nighttime radiative cooling," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    9. Xiaohong Liu & Yuekuan Zhou & Chun-Qing Li & Yaolin Lin & Wei Yang & Guoqiang Zhang, 2019. "Optimization of a New Phase Change Material Integrated Photovoltaic/Thermal Panel with The Active Cooling Technique Using Taguchi Method," Energies, MDPI, vol. 12(6), pages 1-22, March.
    10. Liu, Zhengxuan & Yu, Zhun (Jerry) & Yang, Tingting & Roccamena, Letizia & Sun, Pengcheng & Li, Shuisheng & Zhang, Guoqiang & El Mankibi, Mohamed, 2019. "Numerical modeling and parametric study of a vertical earth-to-air heat exchanger system," Energy, Elsevier, vol. 172(C), pages 220-231.
    11. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2019. "Study on the energy performance enhancement of a new PCMs integrated hybrid system with the active cooling and hybrid ventilations," Energy, Elsevier, vol. 179(C), pages 111-128.
    12. Chow, T.T., 2010. "A review on photovoltaic/thermal hybrid solar technology," Applied Energy, Elsevier, vol. 87(2), pages 365-379, February.
    13. Souayfane, Farah & Biwole, Pascal Henry & Fardoun, Farouk & Achard, Patrick, 2019. "Energy performance and economic analysis of a TIM-PCM wall under different climates," Energy, Elsevier, vol. 169(C), pages 1274-1291.
    14. Lin, Wenye & Ma, Zhenjun & Ren, Haoshan & Gschwander, Stefan & Wang, Shugang, 2019. "Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems," Renewable Energy, Elsevier, vol. 130(C), pages 1116-1129.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liang Tang & Zhengxuan Liu & Yuekuan Zhou & Di Qin & Guoqiang Zhang, 2020. "Study on a Dynamic Numerical Model of an Underground Air Tunnel System for Cooling Applications—Experimental Validation and Multidimensional Parametrical Analysis," Energies, MDPI, vol. 13(5), pages 1-20, March.
    2. Zhou, Yuekuan & Zheng, Siqian, 2020. "Uncertainty study on thermal and energy performances of a deterministic parameters based optimal aerogel glazing system using machine-learning method," Energy, Elsevier, vol. 193(C).
    3. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    4. Li, Yiming & Liu, Che & Zhang, Lizhi & Sun, Bo, 2021. "A partition optimization design method for a regional integrated energy system based on a clustering algorithm," Energy, Elsevier, vol. 219(C).
    5. Gohar Gholamibozanjani & Mohammed Farid, 2021. "A Critical Review on the Control Strategies Applied to PCM-Enhanced Buildings," Energies, MDPI, vol. 14(7), pages 1-39, March.
    6. Alimohammadian, Mehdi & Dinarvand, Saeed & Mahian, Omid, 2022. "Innovative strategy of passive sub-ambient radiative cooler through incorporation of a thermal rectifier to double-layer nanoparticle-based coating," Energy, Elsevier, vol. 247(C).
    7. Zhang, Guiqing & Tian, Chenlu & Li, Chengdong & Zhang, Jun Jason & Zuo, Wangda, 2020. "Accurate forecasting of building energy consumption via a novel ensembled deep learning method considering the cyclic feature," Energy, Elsevier, vol. 201(C).
    8. Zhou, Yuekuan & Zheng, Siqian & Liu, Zhengxuan & Wen, Tao & Ding, Zhixiong & Yan, Jun & Zhang, Guoqiang, 2020. "Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    9. Zhou, Yuekuan & Zheng, Siqian, 2020. "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, Elsevier, vol. 153(C), pages 375-391.
    10. Zhou, Yuekuan & Zheng, Siqian, 2020. "Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities," Applied Energy, Elsevier, vol. 262(C).
    11. Ahmad, Tanveer & Zhang, Dongdong & Huang, Chao, 2021. "Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and energy policy applications," Energy, Elsevier, vol. 231(C).
    12. Qin, Di & Liu, Zhengxuan & Zhou, Yuekuan & Yan, Zhongjun & Chen, Dachuan & Zhang, Guoqiang, 2021. "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, Elsevier, vol. 167(C), pages 542-557.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Yuekuan & Zheng, Siqian, 2020. "Multi-level uncertainty optimisation on phase change materials integrated renewable systems with hybrid ventilations and active cooling," Energy, Elsevier, vol. 202(C).
    2. Zhou, Yuekuan & Zheng, Siqian & Liu, Zhengxuan & Wen, Tao & Ding, Zhixiong & Yan, Jun & Zhang, Guoqiang, 2020. "Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    3. Liang Tang & Zhengxuan Liu & Yuekuan Zhou & Di Qin & Guoqiang Zhang, 2020. "Study on a Dynamic Numerical Model of an Underground Air Tunnel System for Cooling Applications—Experimental Validation and Multidimensional Parametrical Analysis," Energies, MDPI, vol. 13(5), pages 1-20, March.
    4. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2020. "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, Elsevier, vol. 151(C), pages 403-418.
    5. Qin, Di & Liu, Zhengxuan & Zhou, Yuekuan & Yan, Zhongjun & Chen, Dachuan & Zhang, Guoqiang, 2021. "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, Elsevier, vol. 167(C), pages 542-557.
    6. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2019. "Study on the energy performance enhancement of a new PCMs integrated hybrid system with the active cooling and hybrid ventilations," Energy, Elsevier, vol. 179(C), pages 111-128.
    7. Liu, Zhengxuan & Sun, Pengchen & Xie, Mingjing & Zhou, Yuekuan & He, Yingdong & Zhang, Guoqiang & Chen, Dachuan & Li, Shuisheng & Yan, Zhongjun & Qin, Di, 2021. "Multivariant optimization and sensitivity analysis of an experimental vertical earth-to-air heat exchanger system integrating phase change material with Taguchi method," Renewable Energy, Elsevier, vol. 173(C), pages 401-414.
    8. Arkar, C. & Žižak, T. & Domjan, S. & Medved, S., 2020. "Dynamic parametric models for the holistic evaluation of semi-transparent photovoltaic/thermal façade with latent storage inserts," Applied Energy, Elsevier, vol. 280(C).
    9. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    10. Yu, Qinghua & Chen, Xi & Yang, Hongxing, 2021. "Research progress on utilization of phase change materials in photovoltaic/thermal systems: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    11. Ma, Tao & Li, Meng & Kazemian, Arash, 2020. "Photovoltaic thermal module and solar thermal collector connected in series to produce electricity and high-grade heat simultaneously," Applied Energy, Elsevier, vol. 261(C).
    12. Zhou, Yuekuan & Zheng, Siqian, 2020. "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, Elsevier, vol. 153(C), pages 375-391.
    13. Karami, Babak & Azimi, Neda & Ahmadi, Shahin, 2021. "Increasing the electrical efficiency and thermal management of a photovoltaic module using expanded graphite (EG)/paraffin-beef tallow-coconut oil composite as phase change material," Renewable Energy, Elsevier, vol. 178(C), pages 25-49.
    14. Liang, Ruobing & Pan, Qiangguang & Wang, Peng & Zhang, Jili, 2018. "Experiment research of solar PV/T cogeneration system on the building façade driven by a refrigerant pump," Energy, Elsevier, vol. 161(C), pages 744-752.
    15. Ljungdahl, V. & Taha, K. & Dallaire, J. & Kieseritzky, E. & Pawelz, F. & Jradi, M. & Veje, C., 2021. "Phase change material based ventilation module - Numerical study and experimental validation of serial design," Energy, Elsevier, vol. 234(C).
    16. Abdelhakim Hassabou & Rima J. Isaifan, 2022. "Simulation of Phase Change Material Absorbers for Passive Cooling of Solar Systems," Energies, MDPI, vol. 15(24), pages 1-17, December.
    17. Ren, Xiao & Li, Jing & Hu, Mingke & Pei, Gang & Jiao, Dongsheng & Zhao, Xudong & Ji, Jie, 2019. "Feasibility of an innovative amorphous silicon photovoltaic/thermal system for medium temperature applications," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    18. Kazemian, Arash & Khatibi, Meysam & Reza Maadi, Seyed & Ma, Tao, 2021. "Performance optimization of a nanofluid-based photovoltaic thermal system integrated with nano-enhanced phase change material," Applied Energy, Elsevier, vol. 295(C).
    19. Gohar Gholamibozanjani & Mohammed Farid, 2021. "A Critical Review on the Control Strategies Applied to PCM-Enhanced Buildings," Energies, MDPI, vol. 14(7), pages 1-39, March.
    20. Jouhara, H. & Milko, J. & Danielewicz, J. & Sayegh, M.A. & Szulgowska-Zgrzywa, M. & Ramos, J.B. & Lester, S.P., 2016. "The performance of a novel flat heat pipe based thermal and PV/T (photovoltaic and thermal systems) solar collector that can be used as an energy-active building envelope material," Energy, Elsevier, vol. 108(C), pages 148-154.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323035. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.