Applied Intelligence for renewables
May 27, 2020
In brief
In brief
- Applied Intelligence is Accenture’s method of using artificial intelligence (AI), automation and analytics to drive business outcomes for our clients.
- Applied Intelligence is already redefining possibilities and powering new outcomes across the value chain for renewables companies.
- Renewables companies can expand their digital capabilities and address reliability challenges with learnings from other industries like oil and gas.
- To successfully implement Applied Intelligence, renewables companies should put data at the core of the business and promote cultural change.
Applied Intelligence is how Accenture helps clients use artificial intelligence (AI), automation and analytics to drive measurable business results by reinventing operational processes and creating new ways of working. When intelligent technology and human ingenuity are applied together at the core of business, opportunities emerge to break down silos, improve processes and enable better decision making.
For renewables companies, Applied Intelligence can help enhance asset value across the value chain. Possible business outcomes in wind include increased production, resource optimization, integration of operations and maintenance (O&M) with energy management and remote intelligence.
Applied Intelligence in practice
Applied intelligence is already defining possibilities and powering new outcomes across the value chain for renewables companies.
Digital wind hub: Advanced visual exploration
Integrated fleet indicator and external data creates a real-time work environment for O&M managers to make smarter decisions and optimize production.
Production improvement w/ power curve optimization
Predictive models simulate expected production in different scenarios, enabling early-warning recommendations to correct power curve deviations.
Early anomaly detection and time-to-failure models
Predictive models for key components of renewable assets can detect deviations from expected operating conditions and predict time to failure (TTF).
Hydro turbination and pumping optimization
Inflow forecasting models help predict future water resource availability and support optimized planning and management of energy production.
Battery storage integration for wind and solar
Improved battery operation combined with intermittent renewables production units supports programs to maximize renewables revenues.
Flexible grid services/dynamic energy management
New grid management mechanisms, market evolution and regulation need smarter solutions for ideal decision making in a complex, evolving environment.
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Smart capabilities from other industries
Other asset-intensive industries such as oil and gas are already relatively mature in building digital capabilities and applying advanced analytics on unstructured data to more effectively address asset reliability challenges. Many of these use cases have clear synergies for renewables companies.
- Vibration analytics: Predictive failure analysis used by oil and gas operators on rotating equipment such as pumps is relevant and replicable for wind operators to address issues with generator drive train or blade misalignment.
- Corrosion analytics: Advanced analytics used to accurately predict areas at high risk of corrosion in oil and gas assets such as pipes could improve prognosis capabilities and data-driven maintenance strategies for offshore wind fleets, where corrosion is a significant challenge.
The Applied Intelligence solutions we design aim to sense, comprehend, act and learn—providing machines the ability to act in a logical manner and simulating human cognitive behavior.
Building a data-driven approach
Adopting a pragmatic approach is critical for renewables companies as they begin their Applied Intelligence journey. Data availability and quality limits the evolution of an operator’s capabilities. Companies can fill gaps by methodically capturing missing information and launching new solutions through an iterative, agile approach.
Implementing Applied Intelligence and realizing its benefits will require new ways of working across the organization. To successfully start the journey and promote cultural change, a vision—a company global initiative—is the key and preliminary step to lay the foundation of a common understanding.
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