Systematic retrofit procedure for resource conservation network based on pinch analysis technique

被引:3
|
作者
Foo, Dominic C. Y. [1 ]
机构
[1] Univ Nottingham, Dept Chem & Environm Engn, Ctr Excellence Green Technol, Semenyih 43500, Selangor, Malaysia
关键词
Water minimisation; Process integration; Nearest neighbour algorithm; Process retrofit; Existing network; CASCADE ANALYSIS TECHNIQUE; HEAT-EXCHANGER NETWORKS; WATER NETWORK; FLOW-RATE; OPTIMIZATION; DESIGN;
D O I
10.1007/s10098-018-1603-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Over the past two decades, various process integration tools have been developed for the synthesis of material resource conservation network (RCN), ranging from pinch analysis and mathematical programming techniques. Note, however, that most of these techniques were developed for grassroots design problems. In other words, the process plants are still at the design stage where the RCN does not exist yet. The grassroots design techniques are not directly applicable for existing process plants that are in operation. For the latter, some degrees of resource conservation may have been in place, though the RCNs of these process plants may not be designed systematically. Hence, this calls for the development of a systematic retrofit procedure in order to reduce both fresh resource and waste discharge flowrates for the process plants. In this work, a three-step procedure based on pinch analysis is proposed for the retrofit of existing RCNs, focusing on direct reuse/recycle scheme for single contaminant problems. A new analysis tool known as the load-flowrate diagram is proposed for the analysis of impurity load received by the material sinks. This tool helps to identify suitable sinks where unutilised sources may be recovered to. Besides, a revised nearest neighbour algorithm is proposed for the revamping of sink-source matches in the RCN. Several literature examples involving water and hydrogen networks are solved to elucidate the newly proposed procedure.
引用
下载
收藏
页码:2255 / 2273
页数:19
相关论文
共 50 条
  • [31] Systematic Planning and Ecosystem-Based Management as Strategies to Reconcile Mangrove Conservation with Resource Use
    Borges, Rebecca
    Ferreira, Alexander C.
    Lacerda, Luiz D.
    FRONTIERS IN MARINE SCIENCE, 2017, 4
  • [32] A CONSERVATION LAW BASED APPROXIMATE ANALYSIS FOR A CLASS OF SIMULTANEOUS RESOURCE POSSESSION PROBLEMS
    KAUFMAN, JS
    WANG, YT
    PERFORMANCE EVALUATION, 1989, 10 (04) : 263 - 280
  • [33] Gossiping for resource discovering: An analysis based on complex network theory
    Ferretti, Stefano
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2013, 29 (06): : 1631 - 1644
  • [34] A two-step resource allocation procedure for LTE-based cognitive radio network
    Asheralieva, Alia
    Mahata, Kaushik
    COMPUTER NETWORKS, 2014, 59 : 137 - 152
  • [35] Neural Network Based Sensitivity Analysis of Natural Resource Models
    Kralisch, S.
    Fink, M.
    Beckstein, C.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 2498 - 2504
  • [36] Network Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review
    Rashmeet Toor
    Inderveer Chana
    Archives of Computational Methods in Engineering, 2021, 28 : 1689 - 1711
  • [37] An Exhibition Booth Layout Allocation Procedure Based on Social Network Analysis
    Jeong, Yoon Jeong
    Moon, Hyun Sil
    Kim, Jae Kyeong
    2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA 2013), 2013,
  • [38] Network Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review
    Toor, Rashmeet
    Chana, Inderveer
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2021, 28 (03) : 1689 - 1711
  • [39] A Bayesian-network-based quantum procedure for failure risk analysis
    Gines Carrascal
    Guillermo Botella
    Alberto del Barrio
    David Kremer
    EPJ Quantum Technology, 2023, 10
  • [40] A Bayesian-network-based quantum procedure for failure risk analysis
    Carrascal, Gines
    Botella, Guillermo
    del Barrio, Alberto
    Kremer, David
    EPJ QUANTUM TECHNOLOGY, 2023, 10 (01)