Performance enhancing solar energy absorber with structure optimization and absorption prediction with KNN regressor model

被引:5
作者
Armghan, Ammar [1 ]
Htay, Mya Mya [2 ]
Alsharari, Meshari [1 ]
Aliqab, Khaled [1 ]
Surve, Jaymit [3 ]
Patel, Shobhit K. [4 ]
机构
[1] Jouf Univ, Coll Engn, Dept Elect Engn, Sakaka 72388, Saudi Arabia
[2] Marwadi Univ, Dept Informat & Commun Technol, Rajkot 360003, Gujarat, India
[3] Marwadi Univ, Dept Elect Engn, Rajkot 360003, Gujarat, India
[4] Marwadi Univ, Dept Comp Engn, Rajkot 360003, Gujarat, India
关键词
KNN Regressor; Solar Energy; Absorption; Solar spectrum; Machine Learning; Optimization; FUTURE;
D O I
10.1016/j.aej.2023.10.017
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We used the honeycomb resonator structure and explored its absorptance response in the visible, ultraviolet, to mid-infrared regions. In this solar spectrum range, the average absorption is greater than 90%. In addition, the spectral absorption is 97.69%, 96.35%, 94.45%, and 96.11% in the respective solar spectrum regions, respectively. In this work, we observed the highest absorption response of the solar spectrum. Further, the KNN regressor model is employed for behavior prediction of the proposed absorber structure and results indicate this model highly predicts the absorption values for lower K values. This proposed model due to its ideal characteristics can be employed for a vast range of applications including performance improvement of solar cells, thermophotovoltaics, and many more.
引用
收藏
页码:531 / 540
页数:10
相关论文
共 37 条
  • [1] [Anonymous], 2016, Choice Rev., V53, DOI [10.5860/choice.195318, DOI 10.5860/CHOICE.195318]
  • [2] Refractory material inspired ultra-wideband solar absorber for thermoelectric photovoltaic performance enhancement with ML inspired prediction
    Armghan, Ammar
    Jonas, Muheki
    Surve, Jaymit
    Patel, Shobhit K.
    Aliqab, Khaled
    Alsharari, Meshari
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2023, 73 : 461 - 472
  • [3] Graphene Multi-Frequency Broadband and Ultra-Broadband Terahertz Absorber Based on Surface Plasmon Resonance
    Chen, Zihao
    Cai, Pinggen
    Wen, Qiye
    Chen, Hao
    Tang, Yongjian
    Yi, Zao
    Wei, Kaihua
    Li, Gongfa
    Tang, Bin
    Yi, Yougen
    [J]. ELECTRONICS, 2023, 12 (12)
  • [4] On the Influence of Air Mass Origin on Low-Cloud Properties in the Southeast Atlantic
    Fuchs, Julia
    Cermak, Jan
    Andersen, Hendrik
    Hollmann, Rainer
    Schwarz, Katharina
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (20) : 11076 - 11091
  • [5] Gangwar K., 2014, Adv. Electron. Electr. Eng., V4, P97
  • [6] Refractory Ultra-Broadband Perfect Absorber from Visible to Near-Infrared
    Gao, Huixuan
    Peng, Wei
    Chu, Shuwen
    Cui, Wenli
    Liu, Zhi
    Yu, Li
    Jing, Zhenguo
    [J]. NANOMATERIALS, 2018, 8 (12):
  • [7] Solar energy: Potential and future prospects
    Kabir, Ehsanul
    Kumar, Pawan
    Kumar, Sandeep
    Adelodun, Adedeji A.
    Kim, Ki-Hyun
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 82 : 894 - 900
  • [8] Triple-Band Surface Plasmon Resonance Metamaterial Absorber Based on Open-Ended Prohibited Sign Type Monolayer Graphene
    Lai, Runing
    Shi, Pengcheng
    Yi, Zao
    Li, Hailiang
    Yi, Yougen
    [J]. MICROMACHINES, 2023, 14 (05)
  • [9] Cobalt phosphate-modified barium-doped tantalum nitride nanorod photoanode with 1.5% solar energy conversion efficiency
    Li, Yanbo
    Zhang, Li
    Torres-Pardo, Almudena
    Gonzalez-Calbet, Jose M.
    Ma, Yanhang
    Oleynikov, Peter
    Terasaki, Osamu
    Asahina, Shunsuke
    Shima, Masahide
    Cha, Dongkyu
    Zhao, Lan
    Takanabe, Kazuhiro
    Kubota, Jun
    Domen, Kazunari
    [J]. NATURE COMMUNICATIONS, 2013, 4
  • [10] Tunable smart mid infrared thermal control emitter based on phase change material VO2 thin film
    Liang, Shiri
    Xu, Feng
    Li, Wenxin
    Yang, Wenxing
    Cheng, Shubo
    Yang, Hua
    Chen, Jing
    Yi, Zao
    Jiang, Peipei
    [J]. APPLIED THERMAL ENGINEERING, 2023, 232