Sensitivity of internal combustion generator capacity in standalone hybrid energy systems

dc.contributor.authorPerera, ATD
dc.contributor.authorWickremasinghe, DMIJ
dc.contributor.authorMahindarathna, DVS
dc.contributor.authorAttalage, RA
dc.contributor.authorPerera, KKCK
dc.contributor.authorBartholameuz, EM
dc.date.accessioned2023-02-17T05:19:34Z
dc.date.available2023-02-17T05:19:34Z
dc.date.issued2012
dc.description.abstractWith higher depletion rates of fossil fuels and the ever growing environmental concerns on Green House Gas (GHG) emissions it has become important to investigate the impact of Internal Combustion Generator (ICG) capacity in Hybrid Energy System (HES)s for standalone applications. In order to accomplish this objective HES modeling, simulation, and optimization was done for three different system configurations based on the renewable energy source. Both mono and multi objective optimization was carried out using Evolutionary Algorithm considering Levelized Energy Cost (LEC) and unmet load fraction as objective functions. Results clearly depicts that seasonable variation of renewable energy sources having a strong impact on system component selection under higher power supply reliability which gradually reduce with the increase of ICG capacity.en_US
dc.identifier.citationPerera, A. T. D., Wickremasinghe, D. M. I. J., Mahindarathna, D. V. S., Attalage, R. A., Perera, K. K. C. K., & Bartholameuz, E. M. (2012). Sensitivity of internal combustion generator capacity in standalone hybrid energy systems. Energy, 39(1), 403–411. https://doi.org/10.1016/j.energy.2011.12.039en_US
dc.identifier.databaseScienceDirecten_US
dc.identifier.doihttps://doi.org/10.1016/j.energy.2011.12.039en_US
dc.identifier.issn0360-5442en_US
dc.identifier.issue1en_US
dc.identifier.journalEnergyen_US
dc.identifier.pgnos403-411en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/20524
dc.identifier.volume39en_US
dc.identifier.year2012en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectHybrid renewable energy systemen_US
dc.subjectEvolutionary algorithmen_US
dc.subjectMulti objective optimizationen_US
dc.subjectDispatch strategyen_US
dc.titleSensitivity of internal combustion generator capacity in standalone hybrid energy systemsen_US
dc.typeArticle-Full-texten_US

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