Experimental, numerical, and machine learning study of vertical thermal energy storage filling with novel hybrid nano- and bio-based phase change material

被引:2
|
作者
Abdolahimoghadam, Mohammad [1 ]
Rahimi, Masoud [1 ,2 ]
机构
[1] Razi Univ, Fac Engn, Dept Chem Engn, Kermanshah, Iran
[2] Razi Univ, Adv Chem Engn Res Ctr, CFD Res Div, Kermanshah, Iran
关键词
Bio-PCM; Bio-nPCM; TES; Experiment; Modeling; ANN; DETERMINING OPTIMAL FORMULATIONS; OPERATING-CONDITIONS; OPTIMIZATION; PCM;
D O I
10.1016/j.est.2024.114815
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this project, an experimental-designed vertical double-tube thermal energy storage (TES) system was employed to analyze the storing and releasing of energy by a novel bio-based phase change material (bio-PCM) and nano-based bio-PCM (bio-nPCM). The evaluation encompassed testing of the bio-PCM, comprising coconut oil and beeswax, and the bio-nPCM, incorporating 2 wt% Gr-Cu hybrid nanoparticles. Furthermore, a machine learning model based on an artificial neural network (ANN) was developed, utilizing 1566 data and 200 distinct structures. The outcomes of the experiments, in comparison with the contours of temperature, liquid fraction, and streamline derived from the modeling, demonstrated that natural convection primarily influences the melting of both bio-PCM and bio-nPCM. Whereas, conduction heat transfer was the dominant factor during the solidification. During the melting, both materials' temperatures revealed non-linear and stepwise changes in the gravity direction. Although bio-PCM's temperature changes were linear and layered in the solidification, for the bio-nPCM, the temperature reductions occurred non-linearly and step-wisely due to enhanced thermal conductivity. Also, the nanoparticles' introduction accelerated the melting and solidification rates by 67.59 % and 56.32 %, respectively. An ANN was developed based on inputs including seven different datasets of characteristics of both PCMs. Multilayer perceptron-based ANN, comprised two hidden layers and housing 20 and 15 neurons. The melting's liquid fraction and time were predicted with errors of +4.55 % and + 0.023 %, respectively. Also, the estimation of solidification's liquid fraction and time had errors of +2.3 % and + 0.013 %, respectively. The outcomes of this research provide a strategic framework for reducing the reliance on petroleum-based PCMs within renewable energy systems. Furthermore, integrating machine learning results offers an avenue for optimizing energy storage and release in TES systems.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Hybrid nano improved phase change material for latent thermal energy storage system: Numerical study
    Benlekkam, Mohamed Lamine
    Nehari, Driss
    ARCHIVE OF MECHANICAL ENGINEERING, 2022, 69 (01) : 77 - 98
  • [2] New hybrid nano- and bio-based phase change material containing graphene-copper particles hosting beeswax-coconut oil for solar thermal energy storage: Predictive modeling and evaluation using machine learning
    Abdolahimoghadam, Mohammad
    Rahimi, Masoud
    ENERGY, 2024, 307
  • [3] Nano-Ag modified bio-based shape-stable phase change material for thermal energy storage
    Ma, Yan
    Zou, Minming
    Chen, Wenjing
    Xiao, Shikun
    Luo, Wenxing
    Zhou, Jiatao
    Che, Yinhui
    Zu, Shuai
    Li, Qinglin
    Jiang, Xiongxin
    Hu, Xiaowu
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (15) : 23056 - 23068
  • [4] Novel bio-based phase change materials with high enthalpy for thermal energy storage
    Liu, Lu
    Fan, Xiaoqiao
    Zhang, Yuang
    Zhang, Shufen
    Wang, Wentao
    Jin, Xin
    Tang, Bingtao
    APPLIED ENERGY, 2020, 268
  • [5] Optimal control of a bio-based phase change material thermal energy storage for demand response
    Nunna, Aneesh Chandra
    Galteland, Olav
    Georges, Laurent
    Zong, Yi
    ENERGY CONVERSION AND MANAGEMENT, 2025, 326
  • [6] Novel Bio-Based Pomelo Peel Flour/Polyethylene Glycol Composite Phase Change Material for Thermal Energy Storage
    Zhang, Hai-Chen
    Kang, Ben-hao
    Sheng, Xinxin
    Lu, Xiang
    POLYMERS, 2019, 11 (12)
  • [7] Experimental and theoretical study for suitability of hybrid nano enhanced phase change material for thermal energy storage applications
    Kalbande, Vednath P.
    Fating, Ganesh
    Mohan, Man
    Rambhad, Kishor
    Sinha, Agnivesh Kumar
    JOURNAL OF ENERGY STORAGE, 2022, 51
  • [8] Microencapsulated bio-based phase change material-micro concrete composite for thermal energy storage
    Parameshwaran, R.
    Naresh, R.
    Ram, V. Vinayaka
    Srinivas, P. V.
    JOURNAL OF BUILDING ENGINEERING, 2021, 39
  • [9] Experimental and numerical research on thermal performance of a novel thermal energy storage unit with phase change material
    Lin, Wenzhu
    Ling, Ziye
    Fang, Xiaoming
    Zhang, Zhengguo
    APPLIED THERMAL ENGINEERING, 2021, 186
  • [10] Investigation of a novel bio-based phase change material hemp concrete for passive energy storage in buildings
    Sawadogo, Mohamed
    Benmahiddine, Ferhat
    Hamami, Ameur El Amine
    Belarbi, Rafik
    Godin, Alexandre
    Duquesne, Marie
    APPLIED THERMAL ENGINEERING, 2022, 212