Integration of Diesel Plant into Hybrid Power System Using Numerical Probabilistic Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU134435" target="_blank" >RIV/00216305:26210/19:PU134435 - isvavai.cz</a>

Result on the web

<a href="https://www.cetjournal.it/index.php/cet/article/view//CET1972047" target="_blank" >https://www.cetjournal.it/index.php/cet/article/view//CET1972047</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET1972047" target="_blank" >10.3303/CET1972047</a>

Result language

angličtina

Original language name

Integration of Diesel Plant into Hybrid Power System Using Numerical Probabilistic Approach

Original language description

Integrating existing diesel station with renewable energy (RE) technologies into a hybrid system has been an attractive solution towards mitigating greenhouse gases emissions problem of diesel power system. Apart from offering cleaner power supply, hybrid systems could also contribute towards reduction of diesel fuel cost. Application of insight-based Power Pinch Analysis (PoPA) method to integrate diesel plants and RE systems with the aim to minimise total generation and runtime of diesel generator has been proposed. This work utilises an extended PoPA tool called the Probability-Power Pinch Analysis (P-PoPA) to achieve the supplementation of RE technologies with existing diesel system. P-PoPA can provide accurate results as those established from the PoPA approach within a shorter time of analysis as it eliminates the manual matching of power sources and demands step. Correction factors based on all possible routes from the RE sources and the diesel generator to the demands are computed to determine the minimum diesel power target for the integrated system. Result of an illustrative case study shows that 31 % saving in the diesel fuel requirement can be achieved after the integration of the existing diesel plant with RE systems. The result of the P-PoPA method is accurate with an only 0.61 % difference to the result targeted using the conventional PoPA technique.

Czech name

—

Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

20402 - Chemical process engineering

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

2019

Confidentiality

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

Name of the periodical

Chemical Engineering Transactions

ISSN

2283-9216

e-ISSN

—

Volume of the periodical

neuveden

Issue of the periodical within the volume

72

Country of publishing house

IT - ITALY

Number of pages

6

Pages from-to

277-282

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85061432213