Optimal design of hybrid grid-connected photovoltaic/wind/battery sustainable energy system improving reliability, cost and emission
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU145540" target="_blank" >RIV/00216305:26210/22:PU145540 - isvavai.cz</a>
Result on the web
<a href="https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0360544222015821" target="_blank" >https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0360544222015821</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.energy.2022.124679" target="_blank" >10.1016/j.energy.2022.124679</a>
Alternative languages
Result language
angličtina
Original language name
Optimal design of hybrid grid-connected photovoltaic/wind/battery sustainable energy system improving reliability, cost and emission
Original language description
In this paper, the optimal designing framework for a grid-connected photovoltaic-wind energy system with battery storage (PV/Wind/Battery) is performed to supply an annual load considering vanadium redox battery (VRB) storage and lead-acid battery (LAB) to minimise the cost of system lifespan (CSLS) including the cost of components, cost of purchasing power from the grid and cost of CO2 emissions and the reliability constraint is defined as energy not supplied probability (ENSP). The optimal configuration of the system is found via an artificial electric field algorithm (AEFA). The capability of the design framework with the VRB is evaluated on sizing, CSLS, ENSP and cost of energy (COE) and in achieving a reliable and economical energy system in comparison with design based on the LAB. The results demonstrated that the CSLS (0.7–1%) and COE (0.87–1.2%) are reduced and reliability (7–10%) is improved more in the grid-connected designing framework for 1% of maximum ENSP (ENSPmax = 1%) in comparison with the stand-alone framework due to power purchasing capability from the grid and minimising the CO2 emission. The results cleared that the CSLS (32.7%), and COE (32.8%) are decreased and reliability (2–4.3%) is improved more for ENSPmax = 1% in system design with VRB than the system design using LAB storage due to higher depth of discharge and further efficiency. The results proved that increasing the ENSP constraint causes decreases in the CSLS and COE and enhances the reliability. The better performance of the proposed multi-criteria design framework via the AEFA is confirmed in comparison with the particle swarm optimisation (PSO) and grey wolf optimiser (GWO) to obtain the best configuration of the hybrid system with the lowest CSLS and COE and more reliability.
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy
ISSN
0360-5442
e-ISSN
1873-6785
Volume of the periodical
neuveden
Issue of the periodical within the volume
257
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
124679-124679
UT code for WoS article
000853698300004
EID of the result in the Scopus database
2-s2.0-85134470993