Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU138681" target="_blank" >RIV/00216305:26210/21:PU138681 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S0959652620342529?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0959652620342529?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jclepro.2020.124207" target="_blank" >10.1016/j.jclepro.2020.124207</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost

Popis výsledku v původním jazyce

In this paper, a comparative evaluation to optimal, cost-effective, and reliable designing of hybrid renewable and clean energy systems consisting of photovoltaic (PV), wind turbine (WT), tidal, and fuel cell (FC) energy (PV/WT/tidal/FC) with hydrogen storage (HS) is proposed. The determination of optimal system configuration is provided for three regions of Iran: Gorgan, Urmia, and Yazd with suitable weather conditions because of assessing the potential of renewable energy in these regions. The evaluation is based on real data regarding radiation, wind speed and water speed, with the objective of minimising the hybrid system net present cost (HSNPC) and satisfying the reliability constraint, i.e. the load deficit probability (LDP). A whale optimisation algorithm (WOA) with high convergence and accuracy speed is considered to determine the optimal configuration of the hybrid system with the minimum HSNPC and cost of energy (COE) that satisfies the LDP for different regions. In this study, seven different design combinations of hybrid systems are implemented. The optimal combination is determined for any region in view of the lowest cost and best reliability, as well as the contributions from renewable energy sources and storage systems. It has been also confirmed that the WOA is superior to particle swarm optimisation (PSO) for hybrid system optimisation. The results showed that optimal combination for all regions comprises a hybrid PV/WT/tidal/FC based HS. The COE values for Gorgan, Urmia, and Yazd are found to be $0.7789, $1.0864, and $0.4477, and the LDPs for these regions are 0.0090, 0.0093, and 0.0090. Moreover, the results clarified the additional contribution of tidal energy for the Gorgan and Yazd regions, the additional PV contribution to the Urmia region, and the reduced contributions related to WT sources. © 2020 Elsevier Ltd

Název v anglickém jazyce

Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost

Popis výsledku anglicky

In this paper, a comparative evaluation to optimal, cost-effective, and reliable designing of hybrid renewable and clean energy systems consisting of photovoltaic (PV), wind turbine (WT), tidal, and fuel cell (FC) energy (PV/WT/tidal/FC) with hydrogen storage (HS) is proposed. The determination of optimal system configuration is provided for three regions of Iran: Gorgan, Urmia, and Yazd with suitable weather conditions because of assessing the potential of renewable energy in these regions. The evaluation is based on real data regarding radiation, wind speed and water speed, with the objective of minimising the hybrid system net present cost (HSNPC) and satisfying the reliability constraint, i.e. the load deficit probability (LDP). A whale optimisation algorithm (WOA) with high convergence and accuracy speed is considered to determine the optimal configuration of the hybrid system with the minimum HSNPC and cost of energy (COE) that satisfies the LDP for different regions. In this study, seven different design combinations of hybrid systems are implemented. The optimal combination is determined for any region in view of the lowest cost and best reliability, as well as the contributions from renewable energy sources and storage systems. It has been also confirmed that the WOA is superior to particle swarm optimisation (PSO) for hybrid system optimisation. The results showed that optimal combination for all regions comprises a hybrid PV/WT/tidal/FC based HS. The COE values for Gorgan, Urmia, and Yazd are found to be $0.7789, $1.0864, and $0.4477, and the LDPs for these regions are 0.0090, 0.0093, and 0.0090. Moreover, the results clarified the additional contribution of tidal energy for the Gorgan and Yazd regions, the additional PV contribution to the Urmia region, and the reduced contributions related to WT sources. © 2020 Elsevier Ltd

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20704 - Energy and fuels

Projekt

<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Journal of Cleaner Production

ISSN

0959-6526

e-ISSN

1879-1786

Svazek periodika

neuveden

Číslo periodika v rámci svazku

283

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

124207-124207

Kód UT WoS článku

000609031600016

EID výsledku v databázi Scopus

2-s2.0-85092913331