Performance of centralised trigeneration plant on sensitivity analysis of total site system

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU138706" target="_blank" >RIV/00216305:26210/20:PU138706 - isvavai.cz</a>

Result on the web

<a href="https://iopscience.iop.org/article/10.1088/1757-899X/991/1/012141" target="_blank" >https://iopscience.iop.org/article/10.1088/1757-899X/991/1/012141</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1757-899X/991/1/012141" target="_blank" >10.1088/1757-899X/991/1/012141</a>

Result language

angličtina

Original language name

Performance of centralised trigeneration plant on sensitivity analysis of total site system

Original language description

The progressive rising of high living standards and populations’ growth has led to increasing energy demands. This has led to the energy shortage gap in both developing and developed countries. Government is developing new technology to increase the thermal efficiency of existing power systems. Trigeneration is one of the innovations that can increase the performance of power systems by reusing waste energy for heating and cooling applications. Pinch Analysis (PA) is a methodology that has been commonly applied for more than 40 years to design and optimum configurations of various resource networks. Previous studies have been performed optimisation of trigeneration system in a Total Site system based on the PA method called Trigeneration System Cascade Analysis (TriGenSCA). However, the previous study does not consider the performance of the trigeneration system through overall sensitivity analysis of Total Site system. Overall sensitivity analysis of the Total Site system that includes industrial plant's maintenance shutdown and production changes affected the performance of the centralized trigeneration system to generate energy to be supplied to the demands. Through this analysis, the size of the trigeneration system and back-up system can be estimated taking into consideration data fluctuations probability. The methodology has been tested on the centralized nuclear trigeneration system in a Total Site system considering four industrial plants as a case study, leading to extra 3.1 MW of Low-Pressure Steam (LPS) and 7.15 MW of Hot Water (HW) are needed from the back-up system if Plant B is shut down as well as extra of 82.4 MW of HW is needed by the back-up system if Plant C is shut down. The size of the boiler and condensate system, hence, need to be improved to overcome the deficit energy as the Plants B and C are shut down. © 2020 Institute of Physics Publishing. All rights reserved.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20704 - Energy and fuels

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)

Publication year

2020

Confidentiality

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

Article name in the collection

IOP Conference Series: Materials Science and Engineering

ISBN

—

ISSN

1757-8981

e-ISSN

—

Number of pages

13

Pages from-to

012141-012141

Publisher name

IOP Publishing Ltd

Place of publication

neuveden

Event location

Kuala Lumpur

Event date

Aug 9, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000659997200141