Langer_et_al_Practical_OTEC_Sites_Indonesia.csv (150.93 kB)

Data underlying the paper: Plant siting and economic potential of ocean thermal energy conversion in Indonesia - A novel GIS-based methodology

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posted on 20.01.2021, 15:20 by Jannis Langer, Aida Astuti Cahyaningwidi, charalampos chalkiadakis, Jaco Quist, Olivier Hoes, Kornelis Blok
This dataset lists all sites that are practically suitable for OTEC deployment in Indonesia based on seawater temperature difference, water depths and marine protected areas.

The columns of the dataset are as follows:

Prov_Start, Long_Start, and Lat_Start described the province, longitude and latitude of the site for OTEC deployment in the ocean.

Prov_End, Long_End, and Lat_End describe the province, longitude, and latitude of the connection point on land to which the power lines of the OTEC plant are assumed to be connected.

Distance describes the linear distance between OTEC plant and onshore connection point.

Temperature describes the seawater temperature difference between warm surface water (depth 0 m) and cold deep-sea water (depth 1,000 m) and reflect the average temperature difference from 21 August 2013 00:00 until 27 November 2018. The resolution of the data is 24 hours.

Depth describes the water depth with a negative sign, meaning that -1 means a water depth of 1m.

BPP represents the Basic Cost of Electricity Production in Indonesia, a metric that is used to calculate the feed-in tariff for the produced OTEC power. IMPORTANT, the feed-in tariff is not equal to BPP, but instead 85% of the BPP.

LCOE_HC and LCOE_LC describe the calculated Levelised Cost of Electricity based on High-Cost (HC) and Low-Cost (LC) assumptions for the OTEC plant.

Eco_Pot_HC and Eco_Pot_LC describe the economic potential of the OTEC plant at the given location. If the LCOE is equal or lower than 85% of the BPP, its economic potential equals the nominal size of the plant, in this study 100 MW. If the LCOE is higher than 85% of BPP, the economic potential is 0.


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Time coverage

21 August 2013 - 27 November 2018






TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services; University of Twente, Faculty of Geo-Information Science and Earth Observations, Department of Geo-Information Processing; TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management