Techno-Economic Assessment (TEA) and Sensitivity Analysis of Geothermal Power in Oman Using SAM (System Advisor Model)
SAMを用いたオマーンにおける地熱発電の技術経済評価と感度分析 (AI 翻訳)
Marzouk OA
🤖 gxceed AI 要約
日本語
オマーンでは未利用の地熱エネルギーについて、30MWのバイナリサイクル発電所を想定し、NRELのSAMツールを用いて技術経済評価を実施。LCOEは8.68セント/kWhと試算され、太陽光発電の約3倍のコストとなるが、発電効率は太陽光の5倍。感度分析と回帰モデルにより投資判断への知見を提供。
English
This study presents a techno-economic assessment of a 30 MW geothermal power plant in Oman using SAM. The LCOE is estimated at 8.68 cents/kWh, higher than solar PV tariffs, but the specific electricity generation is about five times that of PV. Sensitivity analysis and regression models support decision-making for geothermal investment.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
オマーン固有の分析であり、日本への直接的な示唆は限定的だが、未利用再生可能エネルギー（地熱）の経済性評価手法として参考になる。日本でも地熱資源の活用が進む中、LCOE比較や感度分析の枠組みは応用可能。
In the global GX context
While focused on Oman, this paper provides a methodology for techno-economic assessment of geothermal energy using SAM, applicable to other regions. It highlights cost competitiveness compared to solar PV and can inform energy transition strategies in countries with geothermal potential.
👥 読者別の含意
🔬研究者:Provides a detailed TEA framework for geothermal power using SAM, useful for renewable energy system modelers.
🏢実務担当者:Offers cost benchmarks and sensitivity insights for geothermal project developers in hot arid regions.
🏛政策担当者:Demonstrates the economic viability landscape of geothermal vs solar, aiding energy policy decisions in resource-rich countries.
📄 Abstract（原文）
The Sultanate of Oman enjoys plenty of solar energy and wind energy; both have been exploited successfully in the country. However, geothermal energy has not been exploited yet in Oman. This natural heat source deserves more studies to assess its technical potential and economic feasibility compared to other electricity generation technologies in Oman. The current study fills this gap by presenting a techno-economic assessment (TEA) of a small 30-MW geothermal power plant in Oman, operating on a binary (two-fluid) cycle, with a drilling depth of 2 km. The analysis was performed using the renowned software tool SAM (System Advisor Model) of the United States National Renewable Energy Laboratory (NREL). The current results suggest a levelized cost of energy (LCOE) of 8.68 cents/kWh (0.0868 US$/kWh) or 33.4 baisa/kWh (0.0334 OMR/kWh). When compared with electricity tariff or solar photovoltaic (PV) power purchase agreement (PPA) rates in Oman, it was found that geothermal-based electricity is too expensive. Furthermore, the estimated geothermal LCOE is more than three times the LCOE value of self-owned photovoltaic (PV) power systems in Oman, which is around 10 baisa/kWh (0.010 OMR/kWh). The estimated first-year electricity generation for the geothermal power plant model is 261.268 GWh/year, leading to a specific electricity generation of 8,709 kWh/kW/year. This is about five times the specific power generation from PV power plants. The study is augmented by sensitivity analyses and regression models to help understand the impact of multiple input parameters. The study provides novel results regarding decision-making for geothermal power investment in Oman.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202605.0188.v1first seen 2026-05-14 21:23:13
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