Extended Electric System Cascade Analysis (ESCA) for optimal power system targeting considering generation flexibility and heat rate factor

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU134504" target="_blank" >RIV/00216305:26210/19:PU134504 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.egypro.2019.01.810" target="_blank" >http://dx.doi.org/10.1016/j.egypro.2019.01.810</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.egypro.2019.01.810" target="_blank" >10.1016/j.egypro.2019.01.810</a>

Result language

angličtina

Original language name

Extended Electric System Cascade Analysis (ESCA) for optimal power system targeting considering generation flexibility and heat rate factor

Original language description

In order to cater for fluctuating energy demand, power plants are designed either as base power plant or peak power plant. The advantage of base power plant is that due to its constant power generation, the power plant has a higher efficiency. To optimize and design a power plant, many previous study has been conducted. Among the studies, Power Pinch tool named Electric System Cascade Analysis (ESCA) was applied to design an optimal power system. ESCA analysis is conducted by assuming that the power plant generates constant power as it is more efficient. However, further analysis using ESCA shows that with a minimal power plant capacity would result in a trade-off that the energy storage system would be larger and leads to higher energy charging and discharging tendency (result in higher energy lost). Considering the time change of heat rate with the corresponding load factor, this study incorporates new algorithm for flexible power generation into the existing ESCA methodology. To validate the new algorithm, an off-grid distributed energy generation system is mathematically modelled and solved. The result from the new algorithm is compared with that of the mathematical model. The comparison of optimal generator capacity shows a difference of 5.71%. The similarity of the result hence validates that the new algorithm is suitable.

Czech name

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Czech description

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Type

D - Article in proceedings

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

Article name in the collection

INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS

ISBN

—

ISSN

1876-6102

e-ISSN

—

Number of pages

8

Pages from-to

4190-4197

Publisher name

Elsevier Ltd

Place of publication

ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, P

Event location

Hong Kong

Event date

Aug 22, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000471031704085