Data underlying the paper 'Introducing site selection flexibility to technical and economic onshore wind potential assessments: new method with application to Indonesia'
doi: 10.4121/19625385.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/19625385
doi: 10.4121/19625385
Datacite citation style:
Jannis Langer; Michiel Zaaijer; Jaco Quist; Kornelis Blok (2022): Data underlying the paper 'Introducing site selection flexibility to technical and economic onshore wind potential assessments: new method with application to Indonesia'. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19625385.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2022-11-21 (latest)
version 1 - 2022-04-29
This dataset contains the MATLAB data and code and shapefiles used to calculate, report, and discuss the onshore wind potentials with flexible site selection in Indonesia. We also provide a simple Excel workbook with an interactive carbon tax tool and aggregated potential table.
history
- 2022-04-29 first online
- 2022-11-21 published, posted
publisher
4TU.ResearchData
format
.shp, .csv, .mat, .xlsx
funding
- Regional Development Planning and Ideal Lifestyle of Future Indonesia - By Utilizing Advance Green Energy Technology and Trans/Inter-disciplinary Approaches (grant code 482.19.509) [more info...] Dutch Research Council
organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services
DATA
files (5)
-
4,469 bytesMD5:
c3a26618dfae87192194dbc5bdf730cc
README.txt -
114,317,196 bytesMD5:
2408914b012155808bff47ff1138948c
Code_and_Data.zip -
2,286,170,508 bytesMD5:
1189aeb86586d6e02d646d7295f36b9e
ERA5_Profiles.mat -
244,793,764 bytesMD5:
f26656fd68f126f69654c9358494a85b
Site_Suitability_Analysis.zip -
513,403 bytesMD5:
7a09667632319dde1ba513438f2efa23
Technical_and_Economic_Onshore_Wind_Potential_Indonesia_v2.0.xlsx - download all files (zip)
2,645,799,340 bytes unzipped