Alternative Energy White Papers

As the global energy sector undergoes a critical transformation driven by decarbonization, digitalization, and decentralization, artificial intelligence (AI) has emerged as a key enabler for optimizing energy systems. This whitepaper demonstrates how open source innovation is essential to accelerate AI adoption in the energy industry and deliver on its promises.

Renewable assets spend years in development, design, construction and commissioning. They move on next to operate for the next 25 – 30 years before decommissioning. Digital Twin Models are used by the renewable industry during all these phases in their life cycle from design to decommissioning.

Step-by-Step Process for Emission Reduction Targets: Transitioning to 100% renewables may appear challenging, but various clean energy solutions in today’s market can help businesses reach this goal. Selecting the right renewable energy solution depends on factors like energy demand, location, budget, and sustainability goals. In this eBook, we outline a step-by-step process for achieving your emission reduction targets through renewable energy.

This paper examines the factors that are contributing to this transition through the lens of broad trends across the life cycle of blades – design, manufacturing, transportation/handling, operations, and life extension – and synthesizes a perspective based on DNV’s experience providing technical support to owners, operators, and turbine manufacturers. Perspectives provided here are driven by a combination of observations made through DNV’s interactions with the industry, including seeing the commercial and contractual forces driving new projects, providing certification-related services, performing blade design reviews and blade manufacturing evaluations, observing operational damage from inspections, and investigating blade failures.