Cited by 58Wind Energy Research and DevelopmentRenewable Energy and SustainabilityWave and Wind Energy Systems

Life cycle cost-benefit analysis of offshore wind energy under the climatic conditions in Southeast Asia – Setting the bottom-line for deployment

Nian, Victor, Liu, Yang, Zhong, Sheng·2019·Applied Energy

Integrity signals

Registry

Crossref · 10.1016/j.apenergy.2018.10.042

Cites

61 of 61 references verified0 citation errors · 0 not checkable

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  • The LCOE of an offshore wind farm in Singapore is 32 cents/kilowatt-hour, which is higher compared to solar photovoltaics, which cost approximately 12 cents/kilowatt-hour.

    “the study found that the LCOE of an offshore wind farm is 32 cents/ kilowatt-hour, which is higher compared to solar photovoltaics, which cost approximately 12 cents/kilowatt-hour (Nian et al., 2019).”

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Authors
Nian, V., Liu, Y., & Zhong, S.
Affiliations
National University of Singapore (SG)
Corresponding author
Nian, Victor
Venue
Applied Energy
Publisher
Elsevier BV
Published
2019-01
Volume
233-234
Pages
1003-1014
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2899753194
Cited by
58
References
61
Citations by year
2026: 5 · 2025: 6 · 2024: 5 · 2023: 6 · 2022: 11 · 2021: 14 · 2020: 7 · 2019: 4
FWCI
5.08
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Wind Energy Research and Development
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable Energy and Sustainability
  • Physical Sciences › Engineering › Ocean Engineering › Wave and Wind Energy Systems
Keywords
offshore wind energy, life-cycle cost-benefit analysis, Southeast Asia, wind turbine design, cost of wind energy, renewable energy deployment, electricity decarbonization, tropical climate

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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