BluWave-ai and Sunbank, an Independent Power Producer, Enable Dispatchable Renewables AI Integrated With Microsoft Azure

Sunbank is a Joint Venture With Samsung Renewables and the City of Summerside

BluWave-ai announced today the signing of a contract with the City of Summerside (PE, Canada) to deploy and activate its AI-driven Smart Grid Optimizer for Summerside’s Solar Farm: Sunbank.

BluWave-ai Summerside Sunbank
BluWave-ai Summerside Sunbank

Sunbank boosts the city’s renewable generation with 21.6 MW of solar and a 10 MW/20 MWH hour battery, augmenting a 12 MW wind farm supplying the city. Integrated with Microsoft Azure, the cloud-based software solution from BluWave-ai optimizes the operation of Sunbank to make the most of available renewables, which cuts net energy costs and reduces the carbon footprint of the city.

Depending on weather conditions, solar and wind energy generation is highly variable and, as such, is not dispatchable. Dispatchable generation can be requested to supply needs at short notice to handle peaks in demand and shortfall in other supply. Most power grids today use dispatchable gas-fired and other fossil-fuel-fired power plants or, in Summerside’s case, importing energy from the mainland via subsea cable, which is generated with a mix of non-renewable and renewable sources. With a maximum peak load of about 35 MW, Summerside can manage most of this peak demand with clean energy if it is made dispatchable.

Energy storage such as Sunbank’s provides the capability to capture energy during surplus periods and release when needed to meet system demand. Intelligent control is needed to maximize the use of renewable energy, predicting demand and generation ahead of time to optimally schedule charging. This includes discharging energy storage and any shortfall required from other sources to avoid curtailing or wasting that energy. This is where BluWave-ai’s Smart Grid Optimizer comes into play.

BluWave-ai and the City of Summerside’s collaboration has expanded from North America’s first AI-enabled energy dispatch announced in 2019 to the first end-to-end AI-optimized smart grid in North America in 2021. This integrates control of local energy assets including solar and energy storage at the city’s sports arena complex, which delivered a 100% solar-powered concert in 2022. With this contract, the solution integrates the utility-scale Sunbank solar and energy storage facility, providing more effective dispatchable clean energy capacity to meet the city’s needs.

“With the Canadian Federal Government’s target for net zero electricity grids by 2035, a key to retiring natural gas peaking plants and coal-fired thermal plants, will be to manage fluctuating renewables in the context of the needs of the grid,” said Devashish Paul, CEO BluWave-ai. “Leveraging 26 USPTO patents filed in the area of grids and optimization embedded in our AI products, this project at Sunbank will be a key AI-enabled battery dispatch project applicable to smart grids across Canada by 2035.”

Summerside’s state-of-the art smart grid with BluWave-ai’s Smart Grid Optimizer showcases a solution that is applicable worldwide as system operators and power utilities strive to build in more renewables to reduce fossil-fuel generation and corresponding emissions. With increased renewable capacity in the system, responding to demand peaks and avoiding curtailing renewable energy during lower demand periods is a significant problem. For example, California curtails about five percent of its solar and wind energy each year: clean energy that would have powered 370,000 homes in the state. In addition to the capabilities in operation at Summerside, the Smart Grid Optimizer can be augmented with BluWave-ai EV Everywhere to corral the rapidly growing, large capacity of energy storage from EVs and behind-the-meter EV chargers connected within electricity distribution grids to further uptake renewables with AI-managed active charging.

“As the global conversation at COP28 centered on reducing worldwide emissions and addressing climate change, the City of Summerside has proactively implemented substantial measures to greatly diminish our carbon footprint. Our collaboration with Bluwave-ai showcases the pioneering end-to-end AI-controlled smart grid in our city, deploying cutting-edge innovation to deliver tangible outcomes in emission reductions and energy cost savings. The integration of Sunbank into our operations marks a significant stride towards achieving net zero energy for our community,” said Dan Kutcher, Mayor of the City of Summerside.

“Wind and solar farms all over North America need to be turned into effective dispatchable energy assets to maximize use of clean energy,” said Thomas Triplet, Senior Director of Engineering, BluWave-ai. “With a combination of Sunbank’s renewable energy expertise and BluWave-ai’s AI-driven optimization, we can provide this capability, reducing the reliance of electricity systems on fossil-fuel generation without sacrificing capacity to handle demand peaks.”

For more information on the BluWave-ai Smart Grid Optimizer or for independent power producers who want to meet with BluWave-ai’s Smart Grid Optimization experts at Distributech in Orlando, Florida, at Booth 1325, Kiosk 1 (Feb. 26-29), please contact info@bluwave-ai.com.

Contact Information
Brandon Paul
Senior Corporate Marketing Manager
brandon.paul@bluwave-ai.com

SOURCE: BluWave-ai

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View the original press release on newswire.com.

BluWave-ai and Dubai Taxi Corporation Debut AI Optimization of EV Fleet

  • BluWave-ai EV Fleet Orchestrator shows 13% improvement in efficiency for COP28 Tesla taxi fleet connected via Smartcar’s vehicle API

Aligned with COP28 Transport Day and the UAE’s sustainability goals, BluWave-ai and Dubai Taxi Corporation (DTC) announced the results of their collaboration to introduce a revolutionary AI software-driven energy optimization solution for DTC’s fleet of 200 Tesla electric vehicles (EVs) in a world’s first-ever achievement. Dubai Taxi has an ambitious electrification program, replacing conventional fossil-fueled taxis with Teslas in order to meet its sustainability targets, one of the first taxi fleets in the world to do this.

BluWave-ai and Dubai Taxi

The solution, BluWave-ai EV Fleet Orchestrator automatically solves the problem of when, where, and by how much an EV taxi should charge in order to be charged and ready for service at the right times and avoid missing out on trips while charging. The system optimizes road network and charging/grid side operations in real-time, 24×7 eliminating the need for human operators to manually make decisions to deal with operational challenges. It also reacts to changes in the road network as well as in the charging infrastructure availability.

The deployment of BluWave-ai’s EV Fleet Orchestrator with DTC’s electric fleet has demonstrated significant improvement in operating efficiency for the overall fleet:

– 12% increase in revenue from the EV fleet
– 13% increase in EV paid trip distance driven
– 52% decrease in fossil fueled vehicle km driven to cover EVs while they charge
– Reduced or eliminated need for fast charging, which will result in extended EV battery life.

By going live with BluWave-ai’s EV Fleet Orchestrator, DTC is the first taxi operator to deploy the AI approach. The results show that by saving operational costs, the system quickly pays for itself. As part of the solution, a dashboard is included that provides an easy comprehensive view of the savings and reduction in emissions.

BluWave-ai’s EV Fleet Orchestrator solution runs on a comprehensive city-wide taxi trip demand model built from trip records spanning multiple years of taxi operations. It pulls in operating data from the EV taxi fleet in real time using a direct over-the-air telematics integration to Tesla vehicles via the Smartcar API, as a result of a partnership between the two companies. By registering the DTC Tesla taxis with BluWave-ai via the Smartcar API, real-time data on taxi telematics and state of charge was instantly fed to AI models. These models predicted where and when to best charge and position vehicles for fare maximization while maximizing electric miles on the road and using energy at favourable times for the grid.

“Smartcar is proud to bring our vehicle API technology to the BluWave-ai EV Fleet Orchestrator,” said Sahas Katta, CEO of Smartcar. “This partnership is pivotal in helping reduce carbon emissions from vehicle fleets by enabling BluWave-ai to seamlessly integrate with DTC’s Tesla EV fleets, power AI-driven optimization, and accelerate the path to realizing operational benefits.”

“By hooking up our EV Fleet Orchestrator to the network, once live data comes through to the cloud and starts training models, it quickly is able to optimize the system performance and deploy those models for DTC’s fleet,” said Devashish Paul, BluWave-ai founder and CEO. “We are proud to work with DTC as a forward-thinking taxi fleet operator, having validated the benefits in both operational costs and lifetime cost of ownership.”

To learn more about BluWave-ai’s EV Fleet Orchestrator and how to deploy for your electric vehicle fleet, or to schedule a free consultation meeting at COP28 Dubai with BluWave-ai CEO and lead technical staff, contact info@bluwave-ai.com

Contact Information
Brandon Paul
Senior Corporate Marketing Manager
brandon.paul@bluwave-ai.com

BluWave-ai and Dubai Taxi Sign Partnership to Decarbonize Fleet With Electric Vehicles Managed by Artificial Intelligence

  • BluWave-ai EV Fleet Orchestrator Will Increase Miles and Revenue With Electric Taxi Fleet Displacing Carbon-Emitting Miles

Dubai Taxi Corporation (DTC), a division of the Roads and Transport Authority (RTA) of Dubai UAE, signed an agreement with BluWave-ai to partner with its built-in-Canada AI platform to further enhance energy efficiency. The signing ceremony took place in the DTC headquarters in Dubai, co-chaired by Mansour Rahma Alfalasi, CEO of Dubai Taxi, and Devashish Paul, CEO of BluWave-ai, with the presence of a number of officials from both parties. The Canadian company is represented by Al Usul Company in the United Arab Emirates.

BluWave-ai and Dubai Taxi

The agreement will bring the BluWave-ai specialized artificial intelligence solutions into the fields of renewable energy and transport electrification to develop optimization models in EV energy management and revenue maximization for DTC’s fleet, which is projected to grow to over 2000 EVs. DTC is accelerating the partnership with multiple years of historical and live data from real-world operations that will allow BluWave-ai to develop operating models for the electrical vehicles that combine elements such as charging durations, levels, vehicle on-road activity, weather and holiday impacts, events, and revenue concentration vs. charging time opportunity costs. During the project, the offline models will be taken to live deployment to be continuously retrained and enhanced. The agreement includes the appointment of a joint committee from both sides to follow up with the operational plan and mission objectives, and study performance outputs to exchange the best practices in innovation and collaboration.

This agreement was announced in unison with DTC’s plans to transform 100% of its fleet to low-carbon footprint vehicles by 2027. This encompasses hybrid, hydrogen fuel cell, and electrical vehicles. The plan has been approved by the RTA to further the corporate strategy to provide innovative and sustainable transportation services in accordance with the highest international standards for which an AI platform is instrumental.

“The new cooperation agreement between Canada’s BluWave-ai and Dubai Taxi Corporation will support UAE’s net zero by 2050 and electrify the transportation sector,” said Jean-Philippe Linteau, Consul General of Canada in Dubai and the Northern Emirates. He also added, “This agreement will help bring environment-friendly vehicles to Dubai as an example of a Canada-UAE climate change partnership milestone ahead of COP28.”

The BluWave-ai EV Fleet Orchestrator software product uses AI to assist fleet operators in integrating electric vehicles into their fleets. The solution offers features such as intelligent EV charging, route and schedule optimization, and depot and BESS management to optimize the use of EVs. The product uses AI and machine learning algorithms to help fleet operators make informed decisions, thus reducing costs and increasing efficiency. The overall goal of the product is to help fleet operators overcome the challenges of adopting EVs, which will ultimately lead to a reduction in their carbon footprint.

“The Dubai Taxi Corporation is keen to provide safe and sustainable digital transportation solutions using the latest technologies by consolidating the foundations of strategic partnership with a globally experienced company,” said Mansour Rahma Alfalasi, the CEO of Dubai Taxi. “This agreement comes in line with the Dubai government strategy towards comprehensive environmental sustainability by implementing targets to reduce carbon emissions in the taxi sector, as per the requirements of the Dubai Supreme Council of Energy, and the transition towards a green economy. This partnership is enhancing the exchange of expertise and experiences to improve services that contribute to achieving its vision of leadership in providing safe and sustainable digital transportation services.”

“This partnership with Dubai Taxi is laying the foundation to show real-world AI-enabled decarbonization in the lead-up to COP28,” said Devashish Paul, CEO of BluWave-ai. “We are thrilled to implement the strategic directions of the Dubai government aimed at offering green vehicles for a more sustainable environment, praising the advanced and reliable transport services provided by the company to its customers. This emphasizes the commitment to achieve the full outputs of the agreement through cooperation and ensuring the integration of the efforts of both sides, based on working in a team spirit to achieve our shared goals.”

To purchase BluWave-ai’s EV Fleet Orchestrator(TM) and EV Everywhere products or to participate with BluWave-ai’s interoperability testing, please contact info@bluwave-ai.com.

Contact Information:
Brandon Paul
Senior Corporate Marketing Manager
brandon.paul@bluwave-ai.com

SOURCE: BluWave-ai