Comparative Analysis of Multicriteria Decision-Making Techniques for Optimal Wind Farm Site Selection
風力発電所の最適立地選定のための多基準意思決定手法の比較分析 (AI 翻訳)
Raid Mahmood Faisal, Zakariya Nafi Shehab, Zakariya Yahya Algamal
🤖 gxceed AI 要約
日本語
本研究は、イラクのエルビルを事例に、GISと多基準意思決定手法（AHP、SAW、TOPSIS、VIKORなど）を統合し、風力発電所の最適立地を比較分析する。手法の選択が異なる立地の地理的パターンをもたらすことを示し、SAWが最も安定した結果を提供する。この比較アプローチは、モデルの仮定を透明化し、意思決定の結果を検証可能にする。半乾燥地域やデータ制約のある地域への適用可能性が高い。
English
This study compares GIS-based multicriteria decision-making methods (AHP, SAW, TOPSIS, VIKOR) for optimal wind farm siting in Erbil, Iraq. It shows that method choice yields distinct feasibility geographies, with SAW providing the most stable patterns. The comparative approach makes model assumptions transparent and outcomes contestable, offering a portable workflow for semiarid, data-constrained regions.
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
日本では再生可能エネルギー導入拡大が進むが、風力発電の立地選定は地域住民との合意形成や環境影響評価が課題。本研究の多基準分析の比較手法は、日本の自治体や事業者が立地選定の透明性を高めるための参考となる。
In the global GX context
Globally, this study contributes to renewable energy siting literature by demonstrating how different MCDM methods can lead to divergent spatial outcomes. It emphasizes transparency and contestability in decision-making, relevant for regions with data constraints and uneven energy transitions.
👥 読者別の含意
🔬研究者:Provides a comparative analysis of MCDM methods for wind siting, highlighting the impact of method choice on spatial outcomes.
🏢実務担当者:Offers a framework for transparent wind farm siting that can be adapted to local contexts, aiding in stakeholder communication.
🏛政策担当者:Illustrates how siting decisions can influence energy transition and land-use planning, informing policy on renewable energy deployment.
📄 Abstract（原文）
Erbil’s rapid in-migration and real-estate expansion have reconfigured Iraq’s internal urban hierarchy, concentrating demand for reliable electricity while intensifying land-use pressures at the metropolitan edge. We conceptualize utility-scale wind siting as a spatial decision problem embedded in a coupled human–environment system and a regionally uneven energy transition. Using Erbil as an instructive case, we develop a comparative geographic information systems (GIS)-multicriteria framework that integrates environmental suitability, infrastructural proximity, and land-use constraints with alternative decision rules (analytic hierarchy process, weighted overlay, simple additive weighting [SAW], TOPSIS, VIKOR) and wind-regime characterization (Weibull). Rather than seeking a single “best” map, we show that method choice produces distinct geographies of feasibility, altering which districts and growth corridors are prioritized for investment. We link these cartographies to grid-relevant, district-level energy potentials to illustrate how siting can relieve peak demand and reduce generator reliance while minimizing land conflict. Across methods, SAW yields the most stable and interpretable patterns for planning, yet the comparative approach is the contribution: It renders model assumptions transparent and decision outcomes contestable. We argue that spatially optimized renewables are not only technical fixes but place-making interventions that shape urban absorption of national mobility. The workflow is portable to semiarid and data-constrained regions, advancing geographic debates on spatial reasoning, transition unevenness, and human–environment governance.
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