BatterySimmTM

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BatterySimm™ identifies configurations and operating strategies to maximize value.  BatterySimm’s advanced algorithms help developers and utilities define and implement strategies to co-optimize the joint value for both energy and ancillary services markets.

Get the insight you need to make the right decisions.

BatterySimmTM has three different modules to maximize project value through any point of the project life:

Maximizing value means

optimizing battery charge and discharge strategy across Day-Ahead and Real-Time energy and ancillary service markets under real-life conditions, inclusive of physical battery performance attributes over time.

Optimal sizing for energy cycling capabilities and duration specifications

Valuate projects under both perfect and imperfect foresight of energy and ancillary service prices

Determine optimal operating strategies for ISO bidding and integrated utility operations

Features of BatterySimmTM

Finds the most cost-effective battery configuration for a given node or utility system

Add batteries to renewable projects to realize higher Day-Ahead prices and take advantage of investment tax credit

Track daily performance and invoke self-learning routines to improve profitability

Discovers the optimal dispatch strategy by co-optimizing between energy and ancillary services

Generate location and project specific operating strategies to maximize profitability

Captures realistic revenues of the asset given imperfect foresight

BatterySimmTM Modeling Features

BatterySimm™ offers superior modeling of market price dynamics, and operational constraints, providing comprehensive resource valuation and optimal operation strategy.

Project developers, EPCs, capital funds, utilities, and market operators will benefit from the analytic insights of BatterySimmTM.  Find and execute the right strategy for any battery and storage technology.

BatterySimmTM pairs an in-depth representation of storage devices with forecasting and analytics of market prices, including predictions of price spikes and trends in volatility.  This allows the mixed-integer linear program to solve for optimal dispatch between energy ancillaries in day-ahead and real-time markets under a variety of optimization policies to characterize both realistic revenue and the value of better forecasting.

 

Applications

  • Optimally size battery configurations
  • Continuous performance and profitability monitoring combined with predictive analytics to enhance battery economics over time
  • Applies to batteries that are "in-front" or "behind" the fence
  • Co-optimizes between battery storage and solar or wind production
  • Provides profit enhancing strategies for battery operations and ISO bidding between energy and ancillary services

BatterySimmTM Customers

BatterySimmTM has been applied by over a dozen utilities and developers alike to identify and execute optimal storage configurations and operating strategies.

UTILITIES

DEVELOPERS

Why choose Ascend Analytics?

Due to its MODULAR NATURE, Ascend Analytics software can be rapidly deployed.

Our dedicated deployment team will provide a turn-key-solution, minimizing impacts to your staff.

Ascend offers the option of deploying to client sites, or a robust HOSTED ENVIRONMENT with dedicated hardware, complete database and software support.

We provide more efficient IT and software support, because that's what we do every day!

We provide the highest level of customer support in the energy industry.

Our dedicated service team allows clients to access experienced energy analysts and system experts DIRECTLY.  Leverage our analysts as peaking resources
for your team.

Hosting Solutions

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Rapid Deployment

 

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e.  info@ascendanalytics.com

 

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Bozeman, Montana 59715

 

California Office

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Oakland, California 94610

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