Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
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)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Cleaner Production
ISSN
0959-6526
e-ISSN
1879-1786
Volume of the periodical
neuveden
Issue of the periodical within the volume
283
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
124207-124207
UT code for WoS article
000609031600016
EID of the result in the Scopus database
2-s2.0-85092913331