Work

From potential to practice: barriers and risk to artificial intelligence adoption in renewable energy operations & maintenance and devolution of the industry onshore wind in German: a market entry strategy

Year: 2025

Type: dissertation

Abstract: This work project investigates the barriers and future opportunities for Artificial Intelligence adoption in operations and maintenance within the wind energy sector. Using the TOE framework and insights from semi-structured expert interviews, the study identifies technological, organizational, and environmental constraints that limit adoption. Horizon scanning reveals how artificial intelligence could evolve from a supportive tool to a key orchestrator in decentralized energy systems. The project offers strategic recommendations for the Company and similar firms to leverage artificial intelligence in targeted use cases, driving efficiency and resilience in an increasingly competitive and digitized renewable energy landscape.

Source: Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Author: Alves, Joana Ribeiro Costa Ramalho

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Climate action

Open Access status: green

OpenAlex ID: W7198289878

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