Research article Topical Sections

Modeling and simulation of heat balance and internal heat recovery targets through a combination of stream specific minimum temperature difference and polynomial temperature coefficients of specific heat capacities using pinch analysis

  • Received: 11 April 2020 Accepted: 09 July 2020 Published: 17 July 2020
  • Existing heat balancing and energy targeting model in Pinch Analysis rely on use of interpolated values of specific heat capacities and global values of minimum temperature difference ∆Tmin, respectively. Even though this model is useful in estimation of the maximum internally recoverable heat recoverable in processing plants, it does not adequately represent the actual state properties of industrial processes. Specific heat capacities of fluids are polynomial functions of temperature of material under processing. The values of ∆Tmin also vary depending on the nature of the process stream under analysis.
    In this study, improvement to the heat balancing and energy targeting processes of pinch analysis was proposed. The study combined the use of stream specific values of ∆Tmin and polynomial temperature functions of specific heat capacities for heat targeting model. This was coded and executed using a PHP program. The model performance was tested using data from three thermochemical plants, Plant A, B and C, which process linear alkyl benzene sulphonic acid, dairy products and ethanol, respectively.
    The proposed method for heat balancing computed more heating requirements for plant A, B and C by 0.37%, 0.65% and 0.72% respectively, compared to the traditional method of heat balancing. The cooling loads for Plant A and B were less by 2.23% and 32.52% respectively, while for Plant C, they were more by 0.64%. The computed internally recoverable heat targets were more by 1.5%, 4.5% and 2.2% for Plants A, B and C. Simulations of the proposed model were carried out over a range of temperature targets, for different process streams. For gaseous process streams, heating and cooling load requirements were less. Reverse behavior was observed in liquid and steam containing streams, where the heating and cooling load requirements were more.

    Citation: Fenwicks S. Musonye, Hiram Ndiritu, Robert Kinyua. Modeling and simulation of heat balance and internal heat recovery targets through a combination of stream specific minimum temperature difference and polynomial temperature coefficients of specific heat capacities using pinch analysis[J]. AIMS Energy, 2020, 8(4): 652-668. doi: 10.3934/energy.2020.4.652

    Related Papers:

  • Existing heat balancing and energy targeting model in Pinch Analysis rely on use of interpolated values of specific heat capacities and global values of minimum temperature difference ∆Tmin, respectively. Even though this model is useful in estimation of the maximum internally recoverable heat recoverable in processing plants, it does not adequately represent the actual state properties of industrial processes. Specific heat capacities of fluids are polynomial functions of temperature of material under processing. The values of ∆Tmin also vary depending on the nature of the process stream under analysis.
    In this study, improvement to the heat balancing and energy targeting processes of pinch analysis was proposed. The study combined the use of stream specific values of ∆Tmin and polynomial temperature functions of specific heat capacities for heat targeting model. This was coded and executed using a PHP program. The model performance was tested using data from three thermochemical plants, Plant A, B and C, which process linear alkyl benzene sulphonic acid, dairy products and ethanol, respectively.
    The proposed method for heat balancing computed more heating requirements for plant A, B and C by 0.37%, 0.65% and 0.72% respectively, compared to the traditional method of heat balancing. The cooling loads for Plant A and B were less by 2.23% and 32.52% respectively, while for Plant C, they were more by 0.64%. The computed internally recoverable heat targets were more by 1.5%, 4.5% and 2.2% for Plants A, B and C. Simulations of the proposed model were carried out over a range of temperature targets, for different process streams. For gaseous process streams, heating and cooling load requirements were less. Reverse behavior was observed in liquid and steam containing streams, where the heating and cooling load requirements were more.


    加载中


    [1] Kemp IC (2011) Pinch analysis and process integration: a user guide on process integration for the efficient use of energy. Elsevier.
    [2] Linnhoff B, Kemp IC (2007) Pinch Analysis and Process Integration, a User Guide on Process Integration for the Efficient Use of Energy. Oxford University Press.
    [3] Klemeš JJ, Kravanja Z (2013) Forty years of heat integration: pinch analysis (PA) and mathematical programming (MP). Curr Opin Chem Eng 2: 461-474. doi: 10.1016/j.coche.2013.10.003
    [4] Abu-Nada E, Al-Hinti I, Al-Sarkhi A, et al. (2006) Thermodynamic modeling of spark-ignition engine: Effect of temperature dependent specific heats. Int Commun Heat Mass Transfer 33: 1264-1272. doi: 10.1016/j.icheatmasstransfer.2006.06.014
    [5] Al-Sarkhi A, Al-Hinti I, Abu-Nada E, et al. (2007) Performance evaluation of irreversible Miller engine under various specific heat models. Int Commun Heat Mass Transfer 34: 897-906. doi: 10.1016/j.icheatmasstransfer.2007.03.012
    [6] Fodor Z, Klemeš JJ, Varbanov P, et al. (2012) Total site targeting with stream specific minimum temperature difference. Chem Eng Trans 29: 2012.
    [7] Wilhelm E, Letcher T (2017) Enthalpy and Internal Energy: Liquids, Solutions and Vapours. Royal Society of Chemistry.
    [8] Doran PM (1995) Bioprocess engineering principles. Academic press.
    [9] Saleh J (2002) Fluid flow handbook. McGraw-Hill Professional.
    [10] Serth RW, Lestina T (2014) Process heat transfer: Principles, applications and rules of thumb. Academic press.
    [11] Rudtsch S (2002) Uncertainty of heat capacity measurements with differential scanning calorimeters. Thermochim Acta 382: 17-25.
    [12] Hayes RE, Mmbaga JP (2012) Introduction to Chemical Reactor Analysis. CRC Press.
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(512) PDF downloads(195) Cited by(0)

Article outline

Figures and Tables

Figures(9)  /  Tables(12)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog