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Stacked ensemble learning approach for PCM-based double-pipe latent heat thermal energy storage prediction towards flexible building energy

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  • Liu, Yang
  • Sun, Yongjun
  • Gao, Dian-ce
  • Tan, Jiaqi
  • Chen, Yuxin

Abstract

Dynamic performance prediction of the PCM-based double-pipe latent heat thermal energy storage (LHTES) system plays an important role for building peak load shifting. This study presents a stacked ensemble learning framework for the phase change performance prediction of LHTES systems. The proposed model has a two-layer structure involving base and meta models: Regression Tree, Support Vector Regression and Linear Regression. Sensitivity analysis has been utilized for the feature extraction considering possible geometrical and physical parameters of LHTES systems with a fixed PCM volume that can store 0.94 kWh of energy within 255 min. Case studies show that the proposed model outperforms the base models in terms of both prediction accuracy and robustness. Compared with base models, the proposed model has a maximum 7.82% (charging) enhancement in Mean Absolute Percentage Error (MAPE) over all-range data sets and a maximum 16.43% enhancement in MAPE for the initial discharging stage, and has more stable predictive results within the high accuracy zone (accuracy > 95%) with a maximum 7.3% (charging) increase in the distribution density over all-range data sets and a maximum interquartile range reduction of 25.6% (middle discharging stage) in Mean Absolute Error. Application of the proposed model achieved more building peak load reduction.

Suggested Citation

  • Liu, Yang & Sun, Yongjun & Gao, Dian-ce & Tan, Jiaqi & Chen, Yuxin, 2024. "Stacked ensemble learning approach for PCM-based double-pipe latent heat thermal energy storage prediction towards flexible building energy," Energy, Elsevier, vol. 294(C).
    • Handle: RePEc:eee:energy:v:294:y:2024:i:c:s0360544224007278
    DOI: 10.1016/j.energy.2024.130955
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    References listed on IDEAS

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    1. Cui, Borui & Gao, Dian-ce & Xiao, Fu & Wang, Shengwei, 2017. "Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings," Applied Energy, Elsevier, vol. 201(C), pages 382-396.
    2. Shi, Jiaqi & Li, Chenxi & Yan, Xiaohe, 2023. "Artificial intelligence for load forecasting: A stacking learning approach based on ensemble diversity regularization," Energy, Elsevier, vol. 262(PB).
    3. Nie, Binjian & She, Xiaohui & Du, Zheng & Xie, Chunping & Li, Yongliang & He, Zhubing & Ding, Yulong, 2019. "System performance and economic assessment of a thermal energy storage based air-conditioning unit for transport applications," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Zastempowski, Maciej, 2023. "Analysis and modeling of innovation factors to replace fossil fuels with renewable energy sources - Evidence from European Union enterprises," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    5. Krašna, Marjan & Klemenčič, Eva & Kutnjak, Zdravko & Kralj, Samo, 2018. "Phase-changing materials for thermal stabilization and thermal transport," Energy, Elsevier, vol. 162(C), pages 554-563.
    6. Maturo, Anthony & Buonomano, Annamaria & Athienitis, Andreas, 2022. "Design for energy flexibility in smart buildings through solar based and thermal storage systems: Modelling, simulation and control for the system optimization," Energy, Elsevier, vol. 260(C).
    7. Wang, Wei & Chen, Jiayu & Huang, Gongsheng & Lu, Yujie, 2017. "Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution," Applied Energy, Elsevier, vol. 207(C), pages 305-323.
    8. Li, Shuang-Fei & Liu, Zhen-hua & Wang, Xue-Jiao, 2019. "A comprehensive review on positive cold energy storage technologies and applications in air conditioning with phase change materials," Applied Energy, Elsevier, vol. 255(C).
    9. Song, Yanlin & Zhang, Nan & Yuan, Yanping & Yang, Li & Cao, Xiaoling, 2019. "Prediction of the solid effective thermal conductivity of fatty acid/carbon material composite phase change materials based on fractal theory," Energy, Elsevier, vol. 170(C), pages 752-762.
    10. Shahsavar, Amin & Goodarzi, Abbas & Mohammed, Hayder I. & Shirneshan, Alireza & Talebizadehsardari, Pouyan, 2020. "Thermal performance evaluation of non-uniform fin array in a finned double-pipe latent heat storage system," Energy, Elsevier, vol. 193(C).
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