Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems

被引:57
作者
Lin, Wenye [1 ]
Ma, Zhenjun [1 ]
Ren, Haoshan [1 ]
Gschwander, Stefan [2 ]
Wang, Shugang [3 ]
机构
[1] Univ Wollongong, SBRC, Wollongong, NSW 2522, Australia
[2] Fraunhofer Inst Solar Energy Syst ISE, D-79110 Freiburg, Germany
[3] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China
关键词
Phase change materials; Thermal energy storage; Experimental investigation; Mufti-objective optimisation; Decision-making; SORTING GENETIC ALGORITHM; GROUND HEAT-EXCHANGERS; PCM; DESIGN; PERFORMANCE; GENERATION; MODEL; TANK; UNIT;
D O I
10.1016/j.renene.2018.08.071
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Thermal energy storage (TES) using phase change materials (PCMs) is being widely considered as one of the alternative solutions for effective use of solar energy. This paper presents a multi-objective optimisation strategy for TES systems using PCMs for solar air systems, in which two performance indicators of average heat transfer effectiveness and effective PCM charging time were used as the conflicting objectives. The influence of the key design variables on the performance of an air-based PCM TES system was first experimentally investigated using Taguchi method, and the results were used to develop two performance models for optimisation. A genetic algorithm was used to search for an optimal Pareto front and a multi-criteria decision-making process was employed to determine the compromise optimal solutions. The results showed that the average heat transfer effectiveness of the PCM TES system can be improved from 44.25 to 59.29% while the effective PCM charging time increased from 4.53 to 6.11 h when using the solutions identified by the proposed strategy with the weighting factors of 0.5/0.5 for both objectives, in comparison to a baseline case. A further comparison showed that the optimal design identified by the proposed strategy outperformed the two designs identified using Taguchi method. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1116 / 1129
页数:14
相关论文
共 36 条
  • [1] Optimising PCM thermal storage systems for maximum energy storage effectiveness
    Amin, N. A. M.
    Belusko, M.
    Bruno, F.
    Liu, M.
    [J]. SOLAR ENERGY, 2012, 86 (09) : 2263 - 2272
  • [2] [Anonymous], RENEW SUSTAIN ENERGY
  • [3] [Anonymous], PROCESS ORIENTED ANA
  • [4] Bergman T., 2011, FUNDAMENTAL HEAT MAS, V7th
  • [5] Architecture: Architects of a low-energy future
    Butler, Declan
    [J]. NATURE, 2008, 452 (7187) : 520 - 523
  • [6] Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)
    Carlucci, Salvatore
    Cattarin, Giulio
    Causone, Francesco
    Pagliano, Lorenzo
    [J]. ENERGY AND BUILDINGS, 2015, 104 : 378 - 394
  • [7] Comparative Analysis of Multi-Criteria Decision-Making Methods for Seismic Structural Retrofitting
    Caterino, N.
    Iervolino, I.
    Manfredi, G.
    Cosenza, E.
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2009, 24 (06) : 432 - 445
  • [8] Numerical and experimental investigation of a PCM-based thermal storage unit for solar air systems
    Charvat, Pavel
    Klimes, Lubomir
    Ostry, Milan
    [J]. ENERGY AND BUILDINGS, 2014, 68 : 488 - 497
  • [9] Heat transfer performance and structural optimization design method of vertical phase change thermal energy storage device
    Chen, Chao
    Liang, Lu
    Zhang, Ye
    Chen, Ziguang
    Xie, Guangya
    [J]. ENERGY AND BUILDINGS, 2014, 68 : 679 - 685
  • [10] Experimental investigation on PCM cold storage integrated with ejector cooling system
    Chen, Xiangjie
    Worall, Mark
    Omer, Siddig
    Su, Yuehong
    Riffat, Saffa
    [J]. APPLIED THERMAL ENGINEERING, 2014, 63 (01) : 419 - 427