Technology

PREDICT, OPTIMIZE, DISPATCH

BluWave-ai’s energy optimization platform delivers cost savings while also reducing greenhouse gas emissions.

Predicts and optimizes renewable energy generation and energy consumption

AI models execute decisions faster and more efficiently than conventional, rules-based programming and human utility operators

Platform intelligently controls assets and gets smarter the longer it operates by continuously learning from operational data

Reduces net energy costs
up to 20%

Reduces fossil fuel use, resulting in lower GHG emissions

Optimizes battery and generator lifetime by reducing cycling stresses in order to reduce or delay future purchases

Makes existing renewable energy supplies more available

Uses a combination of external data sources, such as weather forecasts and simulations, for specific project sites worldwide

Cloud-based, hardware agnostic platform is compatible with existing systems already deployed

BluWave-ai Edge and Center

DISTRIBUTED, CLOUD-BASED ARCHITECTURE

BluWave-ai’s distributed platform consists of BluWave-ai Edge and BluWave-ai Center. The platform is offered through a software-as-a-service (SaaS) model and operates in the cloud. The overall optimization solution consists of an ensemble of various machine learning and statistical techniques that discover patterns in data and perform predictive analysis and pattern recognition in real-time.

BluWave-ai Edge collects and pre-processes real-time IoT sensor and meter data from the microgrid site. AI models use this plus weather data and other signals to perform load and generation predictions. Optimizers provide recommended dispatchable assets, such as energy storage, to meet operational goals in energy cost and emission reductions.

BluWave-ai Center uses grid data to continuously adapt and improve the AI models used by BluWave-ai Edge, pushing the models back to BluWave-ai Edge. It also provides a dashboard for configuration and monitoring.

BluWave-ai leverages industry standard technologies to ensure interoperability with SCADA and IoT devices, and to work with external data sources such as weather, planned schedules, event signals, market pricing, and performance objectives.

All customers are able to test drive our solution through a low-risk, multi-phased onboarding deployment.

GOOD ECONOMICS, GOOD FOR THE PLANET

BluWave-ai’s customers and partners report significant economic and environmental returns on their investments. For a municipality in a state like California, where there is a strong renewables mandate and penetration, significant user load, and high energy costs, typical energy savings are in the range of $US 2M/year.

The environmental benefits are also significant. For every percentage increase in renewable energy used, customers realize at least an equivalent decrease in greenhouse gas emissions relative to power derived from traditional sources.

Then there are the qualitative benefits, including improved grid resilience and protection of the local energy supply from extreme weather and cyber-attacks, and reduced exposure to volatility in the global energy supply market.

DEPLOYMENT

Customers appreciate the clarity and benefits demonstrated through our low-risk deployment process. It starts with building AI models based on historical or simulated data, then progresses to systems integration for live testing and finally operational deployment. Read more about deployment.

BLUWAVE-AI ENERGY OPTIMIZATION PLATFORM

If you have any questions about our technology, please contact us.