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Pinch Analysis Methodology for Trigeneration with Energy Storage System Design

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130429" target="_blank" >RIV/00216305:26210/18:PU130429 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3303/CET1870315" target="_blank" >http://dx.doi.org/10.3303/CET1870315</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3303/CET1870315" target="_blank" >10.3303/CET1870315</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pinch Analysis Methodology for Trigeneration with Energy Storage System Design

  • Original language description

    Rising energy prices, as well as environmental pollution and depletion of fossil fuel, have increased the need to find alternative energy sources and improve the efficiency of current energy systems. Conventional power plants only use an average thermal efficiency of 30 - 35 % to produce power while the remaining energy is dissipated to the environment. The thermal efficiency can be increased to 80 - 90 % by reusing the waste heat for other applications, such as heating and cooling. A trigeneration system is a technology that can produce power, heating and cooling from a single energy source. Pinch Analysis is a methodology that can help users optimise energy, water and other resources. This paper proposes a novel methodology for developing a Trigeneration Cascade Table (TriGenCT) with energy storage system based on the Pinch Analysis algebraic technique. There are five parts for developing TriGenCT which are data extraction, Single Utility Problem Table Algorithm, Multiple Utility Problem Table Algorithm, Total Site Problem Table Algorithm and TriGenCT with energy storage system. The usage of trigeneration system with storage can save energy up to 202 GWh/y. The development of a TriGenCT with energy storage system can be very useful for engineers and managers to optimize the design of trigeneration systems as well as energy storage systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20402 - Chemical process engineering

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Chemical Engineering Transactions

  • ISBN

    978-88-95608-67-9

  • ISSN

    2283-9216

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1885-1890

  • Publisher name

    Italian Association of Chemical Engineering - AIDIC

  • Place of publication

    Neuveden

  • Event location

    Prague

  • Event date

    Aug 25, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article