Costs and environmental impacts multi-objective heat exchanger networks synthesis using a meta-heuristic approach

被引:24
|
作者
Pavao, L. V. [1 ]
Costa, C. B. B. [1 ]
Ravagnani, M. A. S. S. [1 ]
Jimenez, L. [2 ]
机构
[1] Univ Estadual Maringa, Dept Chem Engn, Av Colombo 5790, BR-87020900 Maringa, Parana, Brazil
[2] Univ Rovira & Virgili, Dept Engn Quim, Av Paisos Catalans 26, E-43007 Tarragona, Spain
关键词
Life cycle assessment; Multi-objective optimization; Pareto solutions; Heat exchanger networks; Meta-heuristics; LIFE-CYCLE ASSESSMENT; PROCESS OPTIMIZATION; PRESSURE RECOVERY; EQUIPMENT DESIGN; STREAM SPLITS; ENERGY; INTEGRATION; ALGORITHM; RETROFIT; DECOMPOSITION;
D O I
10.1016/j.apenergy.2017.06.015
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
Heat Exchanger Network (HEN) synthesis approaches based on total annual costs (TAC) optimization can reduce CO2 emissions and electricity used in plants, since the use of utilities is reduced with a cost optimal design. However, environmental impacts (El) are not explicitly addressed in such methods. Life cycle assessment (LCA) metrics can quantify El and can be used as objective function. This work proposes a meta-heuristic approach to perform a multi-objective optimization (MOO) of TAC and EI in medium and large-scale HEN. The method developed efficiently achieves near-Pareto fronts for four industrial-size case studies. Optimal-TAC and optimal-EI solutions, as well as configurations with low El but still competitive TAC are presented. Cost-optimal solutions reported in the literature are compared with non-dominated solutions obtained in this work with similar TAC. In all cases, the approach developed is able to achieve solutions with remarkably lower El, demonstrating the importance of multi criteria optimization in HEN synthesis. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:304 / 320
页数:17
相关论文
共 50 条
  • [31] A new meta-heuristic programming for multi-objective optimal power flow
    Fatima Daqaq
    Mohammed Ouassaid
    Rachid Ellaia
    Electrical Engineering, 2021, 103 : 1217 - 1237
  • [32] Annealing-tabu PAES: a multi-objective hybrid meta-heuristic
    Alcayde, A.
    Banos, R.
    Gil, C.
    Montoya, F. G.
    Moreno-Garcia, J.
    Gomez, J.
    OPTIMIZATION, 2011, 60 (12) : 1473 - 1491
  • [33] Multi-Objective Meta-Heuristic Approach supported by an Improved Local Search Strategy for the Design and Planning of Supply Chain Networks
    Chibeles-Martins, Nelson
    Pinto-Varela, Tania
    Barbosa-Povoa, Ana Paula
    Novais, A. Q.
    24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, 2014, 33 : 313 - 318
  • [34] Solving the multi-objective bike routing problem by meta-heuristic algorithms
    Nunes, Pedro
    Moura, Ana
    Santos, Jose
    INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2023, 30 (02) : 717 - 741
  • [35] Multi-objective Service Function Chain placement in 5G cellular networks based on meta-heuristic approach
    Bezerra, Diego de Freitas
    Santos, Guto Leoni
    Rocha, elisson da Silva
    Moreira, Andre
    Sadok, Djamel F. H.
    Kelner, Judith
    Goncalves, Glauco Estacio
    Mehta, Amardeep
    Marquezini, Maria Valeria
    Endo, Patricia Takako
    SIMULATION MODELLING PRACTICE AND THEORY, 2024, 133
  • [36] A MULTI-OBJECTIVE APPROACH WITH A RESTART META-HEURISTIC FOR THE LINEAR DYNAMICAL SYSTEMS INVERSE MATHEMATICAL PROBLEM
    Ryzhikov, Ivan
    Brester, Christina
    Semenkin, Eugene
    INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, 2018, 10 (01): : 93 - 102
  • [37] A Multi-Objective Optimal Power Flow Control of Electrical Transmission Networks Using Intelligent Meta-Heuristic Optimization Techniques
    Diab, Hatem
    Abdelsalam, Mahmoud
    Abdelbary, Alaa
    SUSTAINABILITY, 2021, 13 (09)
  • [39] Multi-Objective Network Reconfiguration with Optimal DG Output Using Meta-Heuristic Search Algorithms
    Badran, Ola
    Mokhlis, Hazlie
    Mekhilef, Saad
    Dahalan, Wardiah
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (06) : 2673 - 2686
  • [40] Energy Efficient Scheduling on Heterogeneous Federated Clusters using a Fuzzy Multi-Objective Meta-heuristic
    Gabaldon, E.
    Vila, S.
    Guirado, F.
    Lerida, J. L.
    Planes, J.
    2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2017,