P-graph for Optimising Industrial Symbiotic Networks

被引:6
作者
Aviso, Kathleen B. [1 ]
Chiu, Anthony S. F. [2 ]
Yu, Krista Danielle S. [3 ]
Promentilla, Michael Angelo B. [1 ]
Razon, Luis F. [1 ]
Ubando, Aristotle T. [4 ]
Sy, Charlle L. [2 ]
Tan, Raymond R. [1 ]
机构
[1] De La Salle Univ, Chem Engn Dept, Manila, Philippines
[2] De La Salle Univ, Ind Engn Dept, Manila, Philippines
[3] De La Salle Univ, Sch Econ, Manila, Philippines
[4] De La Salle Univ, Mech Engn Dept, Manila, Philippines
来源
PRES15: PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION | 2015年 / 45卷
关键词
OPTIMAL OPERATIONAL ADJUSTMENT; PROCESS INOPERABILITY;
D O I
10.3303/CET1545225
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Industrial symbiosis (IS) intends to reduce the consumption of resources as well as reduce the generation of waste streams through utilising by-products of other firms as raw materials of another firm. Mathematical optimisation models have been developed for identifying the optimal design of by-product exchange and utilisation to maximise the benefits of IS networks. However, these models are unable to provide alternative network structures which may have other desirable qualities such as a simpler design, but may be sub-optimal in their realisation of the objective function. Process graph (P-graph) theory is an alternative approach based on graph theory for optimising networks. It has been primarily used for the design and optimisation of process networks, but may be applied to structurally analogous systems. This work thus proposes the development of a P-graph approach for the optimization of IS networks. The methodology is demonstrated using a case study involving a combination of retrofit and grassroots design scenarios, representing existing as well as new plants within an eco-industrial park. The P-graph model is able to provide a graphical representation of the optimal IS system, as well as alternative near-optimal network designs.
引用
收藏
页码:1345 / 1350
页数:6
相关论文
共 13 条
  • [1] [Anonymous], SCI AM
  • [2] Designing eco-industrial water exchange networks using fuzzy mathematical programming
    Aviso, Kathleen B.
    Tan, Raymond R.
    Culaba, Alvin B.
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2010, 12 (04) : 353 - 363
  • [3] Bi-level fuzzy optimization approach for water exchange in eco-industrial parks
    Aviso, Kathleen B.
    Tan, Raymond R.
    Culaba, Alvin B.
    Cruz, Jose B., Jr.
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2010, 88 (01) : 31 - 40
  • [4] Benjamin M.F.D., 2014, CLEAN TECHNOL ENVIR, V17, P935
  • [5] Uncovering industrial symbiosis
    Chertow, Marian R.
    [J]. JOURNAL OF INDUSTRIAL ECOLOGY, 2007, 11 (01) : 11 - 30
  • [6] Flowrate Targeting for Interplant Hydrogen Networks
    Deng, Chun
    Zhou, Yuhang
    Li, Yantao
    Feng, Xiao
    [J]. PRES 2014, 17TH CONFERENCE ON PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION, PTS 1-3, 2014, 39 : 19 - +
  • [7] GRAPH-THEORETIC APPROACH TO PROCESS SYNTHESIS - AXIOMS AND THEOREMS
    FRIEDLER, F
    TARJAN, K
    HUANG, YW
    FAN, LT
    [J]. CHEMICAL ENGINEERING SCIENCE, 1992, 47 (08) : 1973 - 1988
  • [8] Haimes Y.Y., 2001, J. Infrastruct. Syst., V7, P1, DOI [DOI 10.1061/(ASCE)1076-0342(2001)7:1(1), 10.1061/(ASCE)1076-0342(2001)7:1(1), 10.1061/(ASCE)1076-0342(2001)7:1(1, DOI 10.1061/(ASCE)1076-0342(2001)7:1(1]
  • [9] Kaplan S., RISK ANAL, V1, P11, DOI [10.1111/j.1539-6924.1981.tb01350.x, DOI 10.1111/J.1539-6924.1981.TB01350.X]
  • [10] Optimal operational adjustment in multi-functional energy systems in response to process inoperability
    Kasivisvanathan, Harresh
    Barilea, Ivan Dale U.
    Ng, Denny K. S.
    Tan, Raymond R.
    [J]. APPLIED ENERGY, 2013, 102 : 492 - 500