A fuzzy multi-criteria decision-making model for trigeneration system

被引:155
|
作者
Wang, Jiang-Jiang [1 ]
Jing, You-Yin [1 ]
Zhang, Chun-Fa [1 ]
Shi, Guo-Hua [1 ]
Zhang, Xu-Tao [1 ]
机构
[1] N China Elect Power Univ, Sch Energy, Baoding 071003, Hebei Province, Peoples R China
关键词
Trigeneration system; Fuzzy multi-criteria decision making; Analytical hierarchy process (AHP);
D O I
10.1016/j.enpol.2008.07.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
The decision making for trigeneration systems is a compositive project and it should be evaluated and compared in a multi-criteria analysis method. This paper presents a fuzzy multi-criteria decision-making model (FMCDM) for trigeneration systems selection and evaluation. The multi-criteria decision-making methods are briefly reviewed combining the general decision-making process. Then the fuzzy set theory, weighting method and the FMCDM model are presented. Finally, several kinds of trigeneration systems, whose dynamical sources are, respectively stirling engine, gas turbine, gas engine and solid oxide fuel cell, are compared and evaluated with a separate generation system. The case for selecting the optimal trigeneration system applied to a residential building is assessed from the technical, economical, environmental and social aspects, and the FMCDM model combining analytic hierarchical process is applied to the trigeneration case to demonstrate the decision-making process and effectiveness of proposed model. The results show that the gas engine plus lithium bromide absorption water heater/chiller unit for the residential building is the best scheme in the five options. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3823 / 3832
页数:10
相关论文
共 50 条
  • [21] Healthcare Sustainability Evaluation Using a Hybrid Fuzzy Multi-Criteria Decision-Making Model
    Erjaee, Asma
    Hendiani, Sepehr
    Moradi, Shohreh
    Bagherpour, Morteza
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2022, 24 (02) : 1182 - 1202
  • [22] A fuzzy AHP based multi-criteria decision-making model to select a cloud service
    Seo, K.K. (kwangkyu@smu.ac.kr), 1600, Science and Engineering Research Support Society (08):
  • [23] Healthcare Sustainability Evaluation Using a Hybrid Fuzzy Multi-Criteria Decision-Making Model
    Asma Erjaee
    Sepehr Hendiani
    Shohreh Moradi
    Morteza Bagherpour
    International Journal of Fuzzy Systems, 2022, 24 : 1182 - 1202
  • [24] A multi-criteria decision-making model to increase productivity: AHP and fuzzy AHP approach
    Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
    不详
    Int. J. Intell. Syst. Technol. Appl., 2013, 3-4 (207-229):
  • [25] Evaluation of Sports Center Performance Using a Fuzzy Multi-Criteria Decision-Making Model
    Wang, Chen-Yang
    JOURNAL OF TESTING AND EVALUATION, 2015, 43 (06) : 1372 - 1382
  • [26] A stochastic fuzzy multi-criteria decision-making model for optimal selection of clean technologies
    Promentilla, Michael Angelo B.
    Janairo, Jose Isagani B.
    Yu, Derrick Ethelbhert C.
    Pausta, Carla Mae J.
    Beltran, Arnel B.
    Huelgas-Orbecido, Aileen P.
    Tapia, John Frederick D.
    Aviso, Kathleen B.
    Tan, Raymond R.
    JOURNAL OF CLEANER PRODUCTION, 2018, 183 : 1289 - 1299
  • [27] Streamlining apartment provider evaluation: A spherical fuzzy multi-criteria decision-making model
    Nguyen, Phi -Hung
    Tran, Thu-Hien
    Nguyen, Lan-Anh Thi
    Pham, Hong-Anh
    Pham, Mai-Anh Thi
    HELIYON, 2023, 9 (12)
  • [28] Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments
    Karsak, EE
    Tolga, E
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2001, 69 (01) : 49 - 64
  • [29] A Spherical Fuzzy Multi-Criteria Decision-Making Model for Industry 4.0 Performance Measurement
    Ozdemir, Yavuz Selim
    AXIOMS, 2022, 11 (07)
  • [30] A fuzzy multi-criteria decision making model for supplier rating
    Lee, Hsuan-Shih
    2005 ICSC Congress on Computational Intelligence Methods and Applications (CIMA 2005), 2005, : 282 - 287