Battery Energy Storage System (BESS) Degradation & Arbitrage Optimization

A clean energy asset manager operating a 100MW / 400MWh grid-scale lithium-ion Battery Energy Storage System (BESS) co-located with a solar PV farm.

increase in net annual BESS operating margin: 22%increase in net annual BESS operating margin
eliminated solar PV curtailment losses: 94%eliminated solar PV curtailment losses

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

BESS asset managers struggled to balance daily energy market revenue arbitrage (charging low, discharging high) against battery chemical degradation costs.
Aggressive daily cycling at high ambient temperatures caused accelerated lithium plating, reducing battery capacity prematurely.
Manual bidding strategies failed to capture fast frequency response price spikes in wholesale electricity markets.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Santulan tracks cell-level temperature, state-of-health (SoH), depth of discharge, and C-rate stress in real time.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

22% increase in net annual BESS operating margin through degradation-optimized market bidding.
Extended battery asset operational lifespan by 3 years, delaying multi-million-dollar cell replacement cycles.
Eliminated solar PV curtailment losses by 94% using co-located smart charging control.

Capabilities this relies on