Multi-Criteria Site Suitability Assessment for Nearshore Floating Solar Photovoltaic Systems in the Gulf of Thailand: Integrating Hydrodynamic, Economic, and Environmental Factors
タイ湾における沿岸浮体式太陽光発電システムの多基準適地選定評価：流体力学的・経済的・環境的要因の統合 (AI 翻訳)
Kornpaphop Ruttanawijit, Taweesup Desua, Y. Tiaple
🤖 gxceed AI 要約
日本語
タイ湾の9沿岸県を対象に、浮体式太陽光発電（N-FPV）の適地をAHP-TOPSISとエントロピー重み付けで評価。日射量、波浪、風速、潮流、海岸侵食、系統近接性、産業需要を考慮し、ラヨン県とチョンブリ県が最適と判定。10MWpシステムのLCOEは0.096～0.111ドル/kWh（P50: 0.097～0.112ドル/kWh）で、20MWp規模で12～18%のコスト削減効果。0.12ドル/kWh以上のPPAが不可で、現行FIT（0.08ドル/kWh）では採算が取れず、炭素クレジットが追加収入源となる。
English
This study presents a macro-level site suitability assessment for nearshore floating solar PV (N-FPV) in the Gulf of Thailand using AHP-TOPSIS with entropy weighting. Nine coastal provinces are evaluated based on irradiance, wave height, wind, tidal range, current, coastal erosion, grid proximity, and industrial demand. Rayong and Chonburi emerge as tier-1 regions due to high irradiance (5.15–5.29 kWh/m²/day) and industrial infrastructure. The techno-economic analysis shows an LCOE of $0.096–0.111/kWh for a 10 MWp system, with costs reduced by 12–18% at 5–50 MWp scales. Corporate PPAs above $0.12/kWh are needed for profitability; the current feed-in tariff of $0.08/kWh yields negative returns, though carbon credits can supplement income.
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
本論文は、日本における洋上太陽光（浮体式）の導入検討にも応用可能な評価手法を提供する。特に、日本のEEZや港湾域での適地選定において、波浪・潮流・系統接続・産業需要等多軸の評価が必要であり、本手法の階層的アプローチは参考になる。また、FIT価格とPPA価格の乖離が事業性に与える影響を示唆しており、日本の再エネ海域利用法や系統増強計画にも示唆を与える。
In the global GX context
This paper contributes to the global dialogue on floating solar deployment in coastal areas. Its multi-criteria framework combining physical, environmental, and economic factors is transferable to other regions. The LCOE range ($0.096–0.111/kWh) and scale economy insights are valuable for project developers and policymakers. The finding that current feed-in tariffs are insufficient without carbon credits highlights the need for supportive policies such as PPA floors or carbon revenue mechanisms. The methodology is robust and can inform similar assessments in other Southeast Asian countries or island nations.
👥 読者別の含意
🔬研究者:The integrated AHP-TOPSIS-entropy approach with stability analysis offers a robust framework for multi-criteria site selection in renewable energy planning.
🏢実務担当者:Developers can use the tiered ranking and LCOE estimates to prioritize sites and assess the financial viability of floating solar projects, noting PPA thresholds.
🏛政策担当者:The discrepancy between feed-in tariff and required PPA price underscores the need for policy adjustments (e.g., carbon credit integration or PPA support) to incentivize floating solar.
📄 Abstract（原文）
The paper provides a macro-level screening procedure for nearshore floating photovoltaic (N-FPV) suitability using province-level analysis based on Analytic Hierarchy Process (AHP)-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision making supported by entropy objective weighting validation. The study assesses nine coastal provinces based on the following factors: irradiance, wave height, wind velocity, tidal range, coastal erosion, current velocity, proximity to existing grids, and industrial demand utilizing ERA5 reanalysis data (2019–2023) validated by 31 in-situ stations in the region. The inter-factor independence is confirmed with Pearson correlation analysis (|r| < 0.70 for all pairings), and asymmetric wind factor penalties are introduced to improve the physical realism of the ranking. Rayong (Ci = 0.741) and Chonburi (Ci = 0.682) are selected as tier 1 regions because of their high irradiance levels (5.15–5.29 kWh/m2/day), moderate waves (Hs = 0.48–0.52 m), and high-quality industrial infrastructure along the Eastern Economic Corridor. The results are further validated with ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) cross-checking, entropy weighting, demand proxy analysis, and criteria structure modification. The proposed approach shows strong stability to weight perturbations of up to ±22%. A techno-economic analysis of a 10 MWp system results in a range of Levelized Cost of Electricity (LCOE) values between $0.096–$0.111/kWh (Monte Carlo 50th percentile (P50): $0.097–$0.112/kWh). The scale analysis reveals a 12–18% reduction in costs per kilowatt of output at 5–50 MWp capacity levels. Project feasibility relies heavily on corporate power purchase agreements at or above $0.12/kWh; currently, the feed-in tariff is at $0.08/kWh, which leads to negative returns. Carbon credits can provide additional income. The results can be interpreted as provincial tiers before the actual screening of site locations; Geographic Information System (GIS) exclusion mapping and extreme-event studies should be considered mandatory.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.36956/sms.v8i2.3210first seen 2026-07-24 06:51:42
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