Plant siting and economic potential of ocean thermal energy conversion in Indonesia a novel GIS-based methodology

Journal Article (2021)
Authors

Jannis Langer (TU Delft - Energy and Industry)

Aida Astuti Cahyaningwidi (Student TU Delft)

Charis Chalkiadakis (International Institute for Geo-Information Science and Earth Observation (ITC))

Jaco Quist (TU Delft - Energy and Industry)

O.A.C. Hoes (TU Delft - Water Resources)

K Blok (TU Delft - Energy and Industry)

Research Group
Energy and Industry
Copyright
© 2021 J.K.A. Langer, Aida Astuti Cahyaningwidi, Charis Chalkiadakis, J.N. Quist, O.A.C. Hoes, K. Blok
To reference this document use:
https://doi.org/10.1016/j.energy.2021.120121
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 J.K.A. Langer, Aida Astuti Cahyaningwidi, Charis Chalkiadakis, J.N. Quist, O.A.C. Hoes, K. Blok
Research Group
Energy and Industry
Volume number
224
DOI:
https://doi.org/10.1016/j.energy.2021.120121
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Abstract

Indonesia strives for a renewable energy share of 23% by 2025. One option to contribute to this goal is Ocean Thermal Energy Conversion (OTEC). Despite a global theoretical potential of up to 30 TW, its economically deployable share remains unknown. This paper proposes a novel methodology, which enables to determine OTEC's economic potential for any regional scope considering technical, economic and natural variables. The methodology was tested for 100 MWe OTEC in Indonesia on a provincial and national level. Against a regionally variable electricity tariff of 6.67–18.14 US$ct.(2018)/kWh, the national economic potential is 0–2 GWe with a Levelized Cost of Electricity (LCOE) as low as 15.6 US$ct.(2018)/kWh. With an annual electricity production of 0–16 TWh, OTEC could provide up to 6% of Indonesia's electricity demand in 2018. The capacity factor, capital expenses and discount rate are the most sensitive variables of the LCOE on average. A nationally uniform feed-in tariff of 18 US$ct.(2018)/kWh or more could increase the economic potential significantly. The proposed methodology can be a helpful quick-scan tool for determining economically interesting OTEC sites for follow-up in-depth feasibility studies. Limitations are discussed and future research, amongst others upscaling scenarios with cost reducing effects like technological learning, is recommended.