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Heat exchanger network synthesis with optimal waste heat recovery and multiple hot utilities.

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0201251" target="_blank" >RIV/00216305:26210/26:0201251 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0360544225016536" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360544225016536</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.energy.2025.136011" target="_blank" >10.1016/j.energy.2025.136011</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Heat exchanger network synthesis with optimal waste heat recovery and multiple hot utilities.

  • Popis výsledku v původním jazyce

    Approaches for Heat Exchanger Network (HEN) synthesis have become increasingly significant in recent years because of their potential role in saving energy and tackling climate change. Unlike existing methods that rely on introducing additional stages to accommodate multiple utility options, while often neglecting the potential of waste heat recovery, this work proposes a novel mathematical optimization methodology to tackle the HEN synthesis problem and bring energy benefits of waste heat recovery. The method aims to overcome the drawbacks in existing methods related to low computational efficiency resulting from numerous discrete combinations. An enhanced stage-wise superstructure is presented to automatically optimize selections of stages covering waste heat recovery or heat recovery in hot streams, and multiple hot utilities or heat recovery in cold streams, formulated as a mixed-integer nonlinear programming (MINLP) problem. Grand composite curve (GCC) is adopted to implement preliminary simplifications for the superstructure to solve large-scale HEN problems, by cutting the inappropriate utilities according to the pinch method and minimum temperature driving force to eliminate redundant combinations. The results show that the proposed approach can provide cost-efficient solutions with lower total annual cost (TAC) due to significant reductions in energy cost, compared with previous works. Specifically, the proposed approach achieves TAC savings of 14.5 %, 3.15 %, and 4.5 % for Case 1, Case 2, and Case 3.

  • Název v anglickém jazyce

    Heat exchanger network synthesis with optimal waste heat recovery and multiple hot utilities.

  • Popis výsledku anglicky

    Approaches for Heat Exchanger Network (HEN) synthesis have become increasingly significant in recent years because of their potential role in saving energy and tackling climate change. Unlike existing methods that rely on introducing additional stages to accommodate multiple utility options, while often neglecting the potential of waste heat recovery, this work proposes a novel mathematical optimization methodology to tackle the HEN synthesis problem and bring energy benefits of waste heat recovery. The method aims to overcome the drawbacks in existing methods related to low computational efficiency resulting from numerous discrete combinations. An enhanced stage-wise superstructure is presented to automatically optimize selections of stages covering waste heat recovery or heat recovery in hot streams, and multiple hot utilities or heat recovery in cold streams, formulated as a mixed-integer nonlinear programming (MINLP) problem. Grand composite curve (GCC) is adopted to implement preliminary simplifications for the superstructure to solve large-scale HEN problems, by cutting the inappropriate utilities according to the pinch method and minimum temperature driving force to eliminate redundant combinations. The results show that the proposed approach can provide cost-efficient solutions with lower total annual cost (TAC) due to significant reductions in energy cost, compared with previous works. Specifically, the proposed approach achieves TAC savings of 14.5 %, 3.15 %, and 4.5 % for Case 1, Case 2, and Case 3.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20402 - Chemical process engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Energy

  • ISSN

    0360-5442

  • e-ISSN

    1873-6785

  • Svazek periodika

    324

  • Číslo periodika v rámci svazku

    136011

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    20

  • Strana od-do

  • Kód UT WoS článku

    001470954400001

  • EID výsledku v databázi Scopus

    2-s2.0-105002293650