Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 698

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Review of the current status, technology and future trends of offshore wind farms

Díaz, H., Guedes Soares, C.·2020·Ocean Engineering

Abstract

Abstract The present paper provides an overview of the current state and future trends of the offshore wind farms worldwide along with the technological challenges, especially the wind farm layout and the main components. First, this paper provides a review of the operative wind farms, main components characteristics and the wind farms dimensions. This is followed by a correlation analysis between offshore wind farm layout parameters such as the number of turbines, the installed capacity, the distance from shore and the water depth. Moreover, the present paper reviews the available data regarding the future projects’ portfolio. The evolution of offshore wind technology related to the pre- and under-construction projects is discussed. The data showed an increase in the wind farm dimensions and the capacity of the turbines for wind power generation more in line with that from other energy resources, which is, thereby, enhancing the potential and attractiveness of offshore wind industry for future investors. Finally, a discussion of future previsions related to offshore wind farm layout and capacity concludes the paper.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.oceaneng.2020.107381

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 698

Metadata

Authors
Díaz, H., & Guedes Soares, C.
Venue
Ocean Engineering
Publisher
Elsevier BV
Published
2020-08
Volume
209
Pages
107381
ISSN
0029-8018 (ISSN-L)
OpenAlex
W3034467175
Cited by
698
References
10
FWCI
40.69
Type
journal article
Language
en
Open access
closed

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Review of the current status, technology and future trends of offshore wind farms. https://app.cochat.ai/papers/10.1016/j.oceaneng.2020.107381
The paper
Díaz, H., & Guedes Soares, C. (2020). Review of the current status, technology and future trends of offshore wind farms. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2020.107381

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.