One of the most significant features of our technology is consistent power savings (“energy optimization”) resulting from the use of our AI algorithms. While some savings (2-3%) result when installed in an RE-only generation facility, maximum savings (typically in the range of 7-12%) result when used with RE + energy storage.
Additional benefits occur when our system (including AI) is used! For best effect, network configurations are pre-loaded, the machine learning algorithms continue to learn with experience. Major network changes can be modeled/loaded to plan physical network updates (for instance, as population changes) – so the network operation is always optimized. Additional benefits include:
Grid frequency response control
Congestion management using localized/distributed energy reserves
Short-term network management/sizing to meet changing load growth patterns
Industrial client (large energy user) Energy Management
STORAGE + RENEWABLES + AI
Network response adjustments in an instant
System operators have long relied upon the physical aspects of generators/turbines to provide inertia and frequency control to the grid network. These physical characteristics are an embedded part of running the network and aren’t missed until they are gone…
As renewable (particularly solar) grid penetration increases, reducing the number of physical generators synchronized to the network, there is a real concern around network control and response. Sudden load shifts – on or off – often exacerbate network challenges. Fortunately, appropriate energy storage can help deliver frequency response control to the network at a lower cost and with significantly lower GHG emissions than a thermal generation.
Our advanced AI algorithms learn network usage patterns and storage characteristics (monitoring a wide range of parameters for each device) and work with both large battery farms and/or dispersed network batteries to afford these benefits. By managing load shifts with blistering speed, frequency response and voltage levels are maintained within specification.
Address line congestion with localized energy reserves
During peak demand, transmission and distribution capacity can become a bottleneck in the network forcing system operators to dispatch expensive local generation. Historically this has often taken the form of dirty ‘peaker’ plants or additional transmission lines that only get used hours/day.
The combination of properly controlled energy storage (with or without local RE) and AI control permits operators to sidestep congestion and inject power where it is needed: downstream of transmission constraints. Energy storage can charge during off-peak hours and discharge as needed to serve congested load pockets during times of peak demand. As population pressures change (and the network morphs), assets can be redeployed to respond to new network challenges. The AI adapts immediately.
Size your network to meet changing load growth patterns
Traditional ‘poles-and-wires’ projects are major capital investments, often planned years in advance to accommodate load forecasts of the future. They are traditionally oversized and underutilized initially to accommodate load forecasts years in advance. In most networks, the top 10% of peak demand typically occurs for less than 1% of the year – and, as a result, T&D assets may only be half-utilized most of the time…
By deploying local storage (with or without local RE) and our AI tools, our systems enable local energy system investments to be scaled incrementally, delivering local load relief as needed. When a new line is finally commissioned, existing storage arrays can be re-sited to support other local load pocket requirements. The AI adapts immediately, allowing the network to scale and adapt in a measured and controlled way.
TRANSFORM YOUR ENERGY USE
Manage your energy costs and protect your facilities from outages
As a large power consumer, energy pricing fluctuations and rising demand charges can significantly impact your bottom line. To better manage energy costs, commercial and industrial clients can flatten their load profile by using energy storage to charge during off-peak times and discharge during your facility’s peak. By controlling “when” your facility pulls power from the grid, you can reduce demand charges and avoid costly peak rates, resulting in average electricity bill savings between 10 to 30 percent.
Storage also insulates your facilities from outages, protecting against potential revenue losses and damaged equipment. In the event of a blackout, your facility’s demand can be met with on-site energy storage to ensure continuous operation and reduce negative impacts on production, equipment, and revenue. Our AI tools manage your storage assets to the best effect…
When local RE is added to the mix, Industrial (and other high power) users have the greatest number of tools at hand. The AI sits over the complete mix, managing/monitoring power demand, managing storage charging from both RE and grid, and minimizing power costs. In the event of power outages, options are increased with localized RE available to help fuel the microgrid.