EVALUATION OF ULUMBU GEOTHERMAL DEVELOPMENT DRILLING PLAN OF UNIT 5 (20 MW) THROUGH EXPECTED MONETARY VALUE ANALYSIS
This study examines the development of the Ulumbu geothermal field in Flores, Indonesia, managed by PT PLN (Persero) as a renewable energy source. Currently, the field has four operational geothermal power plant units (PLTP) with a total capacity of 10 MW, utilizing steam from the existing well,...
Saved in:
Main Author: | |
---|---|
Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/87898 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | This study examines the development of the Ulumbu geothermal field in Flores,
Indonesia, managed by PT PLN (Persero) as a renewable energy source. Currently,
the field has four operational geothermal power plant units (PLTP) with a total
capacity of 10 MW, utilizing steam from the existing well, ULB-2. A feasibility study
estimates the field's potential power output at 78.1 MW, a capacity acknowledged
in Indonesia’s Ministry of Energy and Mineral Resources’ 2021–2030 Electricity
Supply Business Plan (RUPTL). According to RUPTL, there are plans to develop
PLTP Units 5 and 6, each with a capacity of 20 MW, bringing the total projected
power output from the field to 50 MW.
This research focuses on the initial stages of developing PLTP Unit 5 (20 MW),
which includes drilling ten wells: five production wells, two contingency wells, and
three reinjection wells. The project faces two potential drilling locations: (1)
Lungar, which is suspected to hold greater geothermal potential but has not been
confirmed through drilling, and (2) Wewo, which already has productive wells. To
identify the optimal drilling location, this study employs an Expected Monetary
Value (EMV) analysis on two alternative decision trees, considering both the
Probability of Success (POS) and financial impact as measured by Net Present
Value (NPV).
Initial calculations by consultants showed negative EMV values for both
alternatives: -6.618 million USD for Wewo and -8.852 million USD for Lungar.
Factors potentially influencing these negative results include low electricity sales
prices, low well capacity, and high investment costs. Further analysis, taking these
factors into account, yielded positive EMV values for both options: 23.34-28.00
million USD for drilling in Lungar first and 29.97-31.96 million USD for drilling
in Wewo first. Based on these results, drilling in Wewo is recommended due to its
higher EMV value and lower resource uncertainty risk.
The study also highlights project challenges and risks, particularly concerning the
long-term sustainability of the Wewo reservoir. Pressure and flow rate data from
the existing ULB-2 well suggest the potential for a long-term decline in power output capacity. To avoid overestimating well capacity, the production capacity is
conservatively estimated at 5 MW per well. With an assumed drilling success rate
of 70%, a minimum of five productive wells, along with two contingency wells,
would be required to reach the 20 MW target capacity. Additionally, the electricity
price used for NPV and economic analysis calculations is thought to be a key factor
behind the initial negative EMV results. A higher electricity price assumption could
significantly improve the project’s economic viability.
Ultimately, this study concludes that the development of PLTP Ulumbu Unit 5 is
feasible, with Wewo as the preferred drilling location. This option yields the highest
EMV and poses more manageable risks. In addition, considering the possibility of
obtaining a larger well capacity, for example 8 MW/well, a higher EMV-2 value of
39.94-44.08 million USD for the development of Unit 5 (20 MW) is produced,
indicating that there is a possibility of producing a more profitable project
feasibility. This study recommends further studies related to the well drilling POS
based on geological risk analysis, including changes to the detailed scenario of the
decision tree, optimizing Capital Expenditure with more optimal technology, and
conducting further EMV calculations using the Monte Carlo probabilistic method.
The EMV analysis and optimal decision tree selection aim to provide a basis for
more informed decision-making in the Ulumbu geothermal field's development and
similar geothermal projects. |
---|