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WINPACT

WINPACT (AI 翻訳)

Gräfe, Moritz, Pettas, Vasilis, Ioannou, Anastasia, Shields, Matt, Kolios, Athanasios, Dimitrov, Nikolay

Zenodoプレプリント2026-08-16#再生可能エネルギーOrigin: EU経営インパクト: コスト削減対象セクター: power
DOI: 10.5281/zenodo.21964488
原典: https://zenodo.org/records/21964488

🤖 gxceed AI 要約

日本語

WINPACTは、風力エネルギー技術の影響評価のためのPythonベースのライフサイクルモデリングツールです。風力資産の運用寿命と、メトオーシャン、技術、経済環境との相互作用をシミュレートします。このリリースでは、係留ライン、アンカー、動的電力ケーブル用の3つの技術固有の推定モジュールを追加し、浮体式洋上風力に対応します。共通の材料インベントリにより、資本コストとライフサイクル排出量が同じ物理的部品表から導出されます。

English

WINPACT is a Python-based life-cycle modeling tool for impact assessment of wind energy technologies. It simulates the operational life of wind assets and their interaction with metocean, technical, and economic environments. This release extends it to floating offshore wind, adding modules for mooring lines, anchors, and dynamic cables, with a shared material inventory ensuring consistent cost and emissions. A TOPSIS module combines quantitative indicators with qualitative societal criteria.

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

日本の洋上風力発電（特に浮体式）の導入拡大に伴い、ライフサイクル全体でのコストと環境影響の評価が重要となっています。本ツールは、日本の事業者や研究者が浮体式風力の経済性と脱炭素効果を定量的に評価するための基盤を提供します。

In the global GX context

As floating offshore wind expands globally, tools like WINPACT enable standardized life-cycle assessment, supporting investment decisions and policy development. The shared material inventory ensures consistency between cost and emissions, aligning with global sustainability reporting trends.

👥 読者別の含意

🔬研究者:Provides a validated open-source tool for life-cycle modeling of floating wind, useful for comparative studies and technology assessment.

🏢実務担当者:Can be used to estimate LCOE, NPV, and embodied carbon for floating wind projects, aiding in project planning and reporting.

🏛政策担当者:Offers a transparent methodology to assess the economic and environmental performance of wind technologies, informing subsidy design and grid planning.

📄 Abstract（原文）

WINPACT is a Python-based life-cycle modeling tool for impact assessment of wind energy technologies. It simulates the operational life of wind energy assets and their interaction with metocean, technical, and economic environments. The tool quantifies the economic and technical effects of system changes, including wind farm control strategies, turbine design characteristics, external operating conditions, and economic parameters. WINPACT captures combined system interactions such as control-driven load changes, reliability impacts, O&M cost evolution, market interaction, and revenue potential. It provides aggregated outputs in terms of economic metrics (e.g., LCOE, NPV), environmental metrics (embodied carbon), and technical metrics (e.g., component, turbine, and farm health). This release extends WINPACT to floating offshore wind, developed within the Horizon Europe project TAILWIND (Deliverable D5.2). It adds three technology-specific estimator modules — for mooring lines, anchors, and dynamic power cables — that convert a design description into a per-material mass inventory using deterministic, standards-traceable relations. A single shared material inventory ensures that capital cost and life-cycle emissions are derived from the same physical bill of materials. A multi-criteria decision analysis module (TOPSIS) combines the resulting quantitative indicators with qualitative societal criteria. A reference example case based on the IEA Wind Task 49 floating array is included. The tool is developed and maintained as a Python software chain by the Integrity and Reliability Section at DTU Wind and Energy Systems. This release received funding from the European Union's Horizon Europe programme under grant agreement No. 101136195 (TAILWIND).

🔗 Provenance — このレコードを発見したソース

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