Reduce costs and greenhouse gas emissions with BluWave-ai’s cloud-based energy optimization platform.

BluWave-ai Edge and Center

BluWave-ai offers an AI-enabled software-as-a-service (SaaS) solution allowing for rapid deployment with a low upfront cost and immediate operating savings. BluWave-ai’s platform uses the latest power systems and machine-learning theory, and is tailored to the most up-to-date needs of smart grids, microgrids and electric vehicle fleets. It is purpose-built for these energy industry applications, and is free of the limitations other legacy products may have.

The platform consumes data from grid IoT devices (sensors, meters) and delivers quasi-real-time dispatch commands. It is predictive, performing analytics on incoming data, discovering patterns, and improving its performance as it operates and, unlike conventional optimization systems, adapts to changing situations. The BluWave-ai distributed platform consists of two modules, BluWave-ai Edge and BluWave-ai Center.

BluWave-ai Edge provides a distributed input and control interface across the grid’s or fleet’s operation. The platform hosts a powerful predictive optimizer that incorporates solar PV output data and energy pricing, among other factors. The predictive optimizer incorporates fixed parameters, like service agreements, as well as variables such as renewables generation and battery state of charge.

BluWave-ai Center coordinates Edge modules throughout the system. It uses real-time operational data to continuously improve the AI models to optimize energy costs and other operational goals. BluWave-ai Center coordinates across all Edges for system-wide optimized energy management. The Center also provides a user-friendly dashboard for wide-area network operational observability and controllability.

BluWave-ai Dashboard:

• Visibility of same day and next day load predictions, such as of wind or solar PV generation. This enables the customer to plan ahead as well as gauge how accurate past predictions were.
• Situational awareness of real-time system status, showing current and recent history of SCADA readings. This enables the customer to see trends across different features, for example, a building load versus solar generation.
• Live readings from field devices and sensors. This provides the customer with a view across the grid edges, as the system receives data and acts in real-time on the data.

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.

BluWave-ai’s innovative approach is backed by one granted United States Patent and Trademark Office (USPTO) and multiple other active USPTO applications.

For EV Operators and Supporting Utilities: The BluWave-ai EV Fleet Orchestrator

It’s a highly complex task to effectively manage electric vehicles and equipment along with building energy, local generation and storage and energy purchases, while meeting service levels and schedule requirements. It requires the intelligent coordination of separate but inter-related systems and the ability to do so in real-time.  The BluWave-ai EV Fleet Orchestrator, built on BluWave-ai's Edge and Center platform, provides a novel solution to this complicated challenge.

Dive Deeper

Want to learn more about our technology? Check out the resources below, or contact us.

CASE STUDIES

• Impact of COVID-19 Related Shutdowns on Utility-Scale Electric Demand and Forecasting: An Indian Metropolitan Area Case Study

WHITEPAPERS

• Microgrids and Renewable Energy: Opportunities for Revolutionizing Electric Distribution Utilities
• When the Electric Utility Becomes Your Gas Station: AI-Enabled Energy Management for Successful Fleet Electrification

ACADEMIC PUBLICATIONS

• Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case

TECHNICAL PAPERS

• Artificial Intelligence Framework for Smart City Microgrids: State of the Art, Challenges and Opportunities

Deployment

Customers appreciate the clarity and quantifiable benefits demonstrated through our low-risk, multi-phase deployment process. It starts with an opportunity assessment and AI model building service based on historical or simulated data. This initial phase includes a survey of site assets and computing and communications infrastructure, and plans for the connection of sensors and data conditioning. This assessment can be either the first phase of deployment or a standalone service. Read more about deployment.

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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 fossil fuel 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.  

BluWave-ai’s team of AI and data scientists, business analysts, and smart grid engineers can assess your project or existing system and determine the appropriate AI-based control and optimization solution to maximize economic benefits and operational reliability for your unique environment.