Enhanced automated targeting model for multi-period energy planning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU143859" target="_blank" >RIV/00216305:26210/20:PU143859 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.aidic.it/cet/20/81/102.pdf" target="_blank" >https://www.aidic.it/cet/20/81/102.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET2081102" target="_blank" >10.3303/CET2081102</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced automated targeting model for multi-period energy planning

Popis výsledku v původním jazyce

The shortage of non-renewable power supplies and critical environmental issues such as climate change, urban sprawl, ozone layer depletion and excessive carbon emission are the main driving forces that urged many countries and non-profit organisations fully committed to seeking more sustainable energy sources and energy planning. Various Process Integration techniques have been developed, extended and utilized in the energy planning sector. Based on the literature review, the use of time-sliced based models in energy integration is still limited. This paper aims to develop time-sliced models that can be applied into an energy integration model that promises higher energy efficiency in power generation energy planning. To accomplish this, a two-stage framework involving (i) targeting and (ii) scheduling is proposed. The targeting step is to determine the minimum amount of renewable energy sources needed to meet the carbon emission limit whereas the scheduling step is to discover the optimal scheduling of introduced renewable energy sources to mitigate the total electricity bill. It is proposed that with the aid of adequate planning, the economic benefit of utilising renewable energy can be realized. A case study in Malaysia that incorporates an actual billing system is used to demonstrate the effectiveness of the model in reducing both carbon emission and energy cost simultaneously. With the use of the proposed framework and developed model, 46.9 % of electricity bill can be reduced while emission is reduced by 40 % compared to the initial emission.

Název v anglickém jazyce

Enhanced automated targeting model for multi-period energy planning

Popis výsledku anglicky

The shortage of non-renewable power supplies and critical environmental issues such as climate change, urban sprawl, ozone layer depletion and excessive carbon emission are the main driving forces that urged many countries and non-profit organisations fully committed to seeking more sustainable energy sources and energy planning. Various Process Integration techniques have been developed, extended and utilized in the energy planning sector. Based on the literature review, the use of time-sliced based models in energy integration is still limited. This paper aims to develop time-sliced models that can be applied into an energy integration model that promises higher energy efficiency in power generation energy planning. To accomplish this, a two-stage framework involving (i) targeting and (ii) scheduling is proposed. The targeting step is to determine the minimum amount of renewable energy sources needed to meet the carbon emission limit whereas the scheduling step is to discover the optimal scheduling of introduced renewable energy sources to mitigate the total electricity bill. It is proposed that with the aid of adequate planning, the economic benefit of utilising renewable energy can be realized. A case study in Malaysia that incorporates an actual billing system is used to demonstrate the effectiveness of the model in reducing both carbon emission and energy cost simultaneously. With the use of the proposed framework and developed model, 46.9 % of electricity bill can be reduced while emission is reduced by 40 % compared to the initial emission.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20402 - Chemical process engineering

Projekt

<a href="/cs/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategické partnerství pro environmentální technologie a produkci energie</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Chemical Engineering Transactions

ISSN

2283-9216

e-ISSN

—

Svazek periodika

81

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

6

Strana od-do

607-612

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85092034873