Data underlying the paper "How offshore wind could become economically attractive in low-resource regions like Indonesia"

doi: 10.4121/19625259.v1
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: 10.4121/19625259
Datacite citation style:
Jannis Langer; Simanjuntak, Sergio; Pfenninger, Stefan; Laguna, Antonio Jarquin; Lavidas, George et. al. (2022): Data underlying the paper "How offshore wind could become economically attractive in low-resource regions like Indonesia". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19625259.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The datasets used to report the results in the paper 

"How offshore wind could become economically attractive in low-resource regions like Indonesia". It consists of a ESRI shapefile and accompanying csv file showing techno-economically feasible sites for offshore wind in Indonesia, as well as a matlab file storing the 20-years, hourly wind speed profiles across Indonesia.

history
  • 2022-07-21 first online, published, posted
publisher
4TU.ResearchData
format
.shp, .csv, .mat
funding
  • W 482.19.509
  • 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;
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Process & Energy;
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering;
Institute Technology of Bandung (ITB), School of Architecture, Planning and Policy Development

DATA

files (11)