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Enregistrement W7106289842 · doi:10.5281/zenodo.17637841

Investment Risk Assessment: Offshore Wind Infrastructure - Finance Dominance, Installation Capacity Barriers, and Cable Reliability Crisis

2025· article· W7106289842 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Langue
DomaineEngineering
ThématiqueMarine and Offshore Engineering Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCost of electricity by sourceInvestment (military)Wind powerOffshore wind powerRevenueGovernment (linguistics)SubsidyCapital cost

Résumé

récupéré en direct d'OpenAlex

Comprehensive technical analysis of offshore wind investment risk focusing on LCOE reset economics, maritime-industrial capacity constraints, cable failure mechanisms, OEM warranty crisis, and geopolitical supply chain concentration. Quantifies Great Reset: LCOE escalated 40-60% moving opposite direction from projected cost declines (BloombergNEF ~50% increase, NREL >45%, McKinsey 40-60%); finance costs $27.20/MWh vs physical costs $16.90/MWh (steel, copper, turbines combined) with interest rate increases "likely semi-permanent" per Energy Transitions Commission; pre-2022 declining cost narrative empirically dead. Market validation mechanisms: UK AR5 (2023) delivered 0 GW when government cap £44/MWh below industry floor; AR6 (2024) required 66% cap increase to £73/MWh for successful auction clearing £57-59/MWh (50%+ over prior rounds); New York ORECs original $110-118/MWh (2019) vs re-bid $150-155/MWh (2024) requiring 35-40% increase; U.S. cancellations totaling 7,744 MW across Ocean Wind 1&2 (2,248 MW), Empire Wind 2 (1,260 MW), Commonwealth Wind (1,232 MW), Park City Wind (804 MW), SouthCoast Wind (1,200 MW) with developers (Ørsted, Equinor/BP, Avangrid, Shell/Ocean Winds) paying $48.9-60M exit fees calculated as "cheaper than billions in losses" from executing uneconomic contracts. One-Vessel Physical Impossibility: Federal 30 GW by 2030 target requires 4-5 GW/year installation; single Jones Act compliant vessel Charybdis (delivered September 2025, chartered Coastal Virginia 2.6 GW through 2026 then Revolution Wind then Sunrise Wind) provides 1.3-1.7 GW/year maximum capacity creating 71-78% shortfall; vessel builds require 2-3 years with none currently under contract; global WTIV fleet strained with few vessels handling 15-20 MW turbines. Port infrastructure impossibility: NREL assessment $11-22B investment required for ports, vessels, manufacturing; current U.S. capability New Bedford 29 acres vs 100+ acres requirement, few if any ports meeting 100 tonnes/m² quay load specification, zero facilities certified for 100m+ blade handling (Port of Vancouver celebrated 76m blades as achievement); effectively zero capable U.S. ports for 2,000-2,300 tonne monopiles and modern blade scales. Cable asymmetric risk profile: 75-83% of insurance claims (DNV 80%, AXA XL ~80%, Lloyd Warwick ~83%, GallagherRe 75-80% convergent sector-wide data) from component representing ~10% project cost creating 8:1 risk-to-cost ratio; 46% installation failures (ORE Catapult) not operational wear with 9 of 10 cable insurance claims installation-related (GCube) proving systematic defects in high-growth construction environment; common failure modes over-bending during lay, improper cable-pulling, inadequate monopile interface design; export cable failure consequences 100% wind farm offline, 2-year replacement procurement lead time, specialized vessel booking delays creating multi-year zero revenue from fully-financed fully-built asset; average repair times inter-array 40 days, export cable 60 days, single repair >£10M (~$13M USD). Siemens Gamesa OEM crisis: FY2023 €4.588B loss (€1.6B onshore blade/bearing defects, €0.6B offshore cost overruns) plus Q3 2023 €2.56B quarterly loss with CEO admission "sold turbines too quickly that had not been sufficiently tested"; €112B order backlog at risk; private banks "reluctant to provide unsecured guarantees" due to damaged risk profile forcing €7.5B German government bailout backstopping warranty obligations to prevent collapse; warranty risk elevated from standard contractual protection to sovereign-level counterparty requiring government backing; market bifurcation where government-backed OEMs (Siemens Gamesa/Germany) vs purely private OEMs creates differential risk profiles and WACC. Geopolitical supply chain: Permanent Magnet Synchronous Generator (PMSG) industry standard architecture (direct-drive, higher efficiency, 15-20 MW scale advantages) creates 100% dependency on Neodymium-Iron-Boron magnets with China control 92% NdFeB magnet manufacturing, 90% metal refining, 89% rare earth separation (U.S. DOE 2024); U.S. 16% rare earth mining but <1% separation/refining/manufacturing requiring even U.S.-mined materials sent to China for processing; engineering decision = strategic geopolitical dependency absent in fossil fuel (diversified global supply) or nuclear (diversified uranium/enrichment); zero Western alternative at commercial scale with no funded multi-billion-dollar multi-year facility construction programs. Investment framework: component providers only (HVDC converters, subsea cables, WTIVs, port infrastructure avoiding project operational risk), proven operational assets only (Europe, ≥3 years track record eliminating construction/commissioning/technology risks), distressed opportunities monitoring (2025-2027 pre-2022 priced projects facing cost reality), post-2028 timeline earliest U.S. market entry if vessel fleet funded/ports upgraded/policy stabilizes (none currently certain). Addresses $2-3B+ per project and $50M-500M+ developer equity decisions with structural impossibility analysis for 2025-2027 near-term deployment claims.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,385
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0030,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,212
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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