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Energy audit data for a resort island in the South China Sea

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dc.citedby4
dc.contributor.authorBasir Khan M.R.en_US
dc.contributor.authorJidin R.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorid55812128900en_US
dc.contributor.authorid6508169028en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2023-05-29T06:12:34Z
dc.date.available2023-05-29T06:12:34Z
dc.date.issued2016
dc.descriptionEnergy conservation; Renewable energy resources; Audit data; Energy audit; Load profiles; Load type; Optimal combination; Renewable energies; Resort island; South China; South China sea; Tioman; Diesel fuelsen_US
dc.description.abstractThe data consists of actual generation-side auditing including the distribution of loads, seasonal load profiles, and types of loads as well as an analysis of local development planning of a resort island in the South China Sea. The data has been used to propose an optimal combination of hybrid renewable energy systems that able to mitigate the diesel fuel dependency on the island. The resort island selected is Tioman, as it represents the typical energy requirements of many resort islands in the South China Sea. The data presented are related to the research article ". Optimal Combination of Solar, Wind, Micro-Hydro and Diesel Systems based on Actual Seasonal Load Profiles for a Resort Island in the South China Sea" [1]. � 2016 The Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.dib.2015.12.033
dc.identifier.epage491
dc.identifier.scopus2-s2.0-84953790513
dc.identifier.spage489
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84953790513&doi=10.1016%2fj.dib.2015.12.033&partnerID=40&md5=c72f78bdb176b0f37c47535219679ba2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22834
dc.identifier.volume6
dc.publisherElsevier Inc.en_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleData in Brief
dc.titleEnergy audit data for a resort island in the South China Seaen_US
dc.typeData Paperen_US
dspace.entity.typePublication
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