"closed-loop intelligence" Data Center Cooling Systems

 

The Executive Advantage

By using this stack, the "Efficiency" isn't just about cooling—it's about longevity. By "switching back and forth" between containers based on AI-driven thermodynamic models, you prevent Lithium Plating (caused by charging while too cold) and Thermal Runaway (caused by discharging while too hot), effectively extending the ROI of a 150 MWh site by several years.

TruVolt.ai architecture represents a "closed-loop intelligence" system where the physical cooling of 2 MWh BESS containers is no longer just a mechanical process, but a high-fidelity data operation.

By integrating Teleseer (PCAP) for network visibility, Equitus Fusion (KGNN) for relational intelligence, and AimLUX/TruVolt as the human-machine interface (HMI), you create a system that doesn't just react to heat—it anticipates it across the entire 150 MWh fleet.

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1. The Cyberspatial "Nervous System" (Teleseer & PCAP)

Before the AI can make a decision, it needs untainted data. Teleseer acts as the "cyber-optic" nerve by performing deep packet inspection (DPI) on the Modbus/TCP or CAN bus traffic.

• PCAP Integration: Every PID adjustment and BMS heartbeat is captured. Teleseer ensures that the data reaching the AI hasn't been spoofed or delayed by network jitter.

• Packet-Level Truth: If a 2 MWh container reports an "Over-Amp" status, Teleseer verifies that the packet originated from the correct MAC address of that specific BMS, preventing "cyber-thermal" sabotage.

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2. The Logic Layer (Equitus Fusion & Graphixa)

This is where the Knowledge Graph Neural Network (KGNN) takes the lead. It maps the 2 MWh containers as nodes in a graph.

Mapping the Thermal Battery

Instead of seeing a list of temperatures, the KGNN understands the topological dependencies:

• Node A: 2 MWh Container 01 (Currently at 90% Discharge / High Amps).

• Edge: THERMALLY_ADJACENT_TO.

• Node B: 2 MWh Container 02 (Idle / Cool).

Predictive Re-tuning via Graphixa (MaaP)

When the system detects a $K_i$ wind-up in Container 01's HVAC PID, the Graphixa (Management as a Platform) layer doesn't just speed up the fan. It looks at the graph and performs a "load-swap":

1. Logic: "Container 01 is reaching a thermal ceiling. Container 02 is at $20^\circ\text{C}$."

2. Action: It instructs the Inverter (PCS) to throttle Container 01 and ramp up Container 02.

3. Optimization: It pushes a new $K_p$ (Proportional) gain to Container 01’s HVAC to aggressively cool it down while it's idle, preparing it for the next cycle.

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3. The Human Interface (AimLUX & TruVolt)

This is where Automation Engineers enter the "Cyberspatial" deployment.

• TruVolt.ai: Acts as the high-integrity power dashboard. It displays the "Health of the Graph." Engineers don't see raw voltage; they see "System Resiliency Scores."

• AimLUX.ai: Provides the Generative HMI. An engineer can ask, "Why is Container 04's HVAC hunting?" AimLUX queries the Equitus KGNN and replies, "The PCAP data shows a 50ms latency spike on the Subnet-B switch, causing the PID loop to lag. Switching to local-only control until the network stabilizes."

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4. Integrated Workflow: From Packet to Power

Step	Component	Action
Sense	BMS / Sensors	Reports 2 MWh container temperature and Amperage.
Validate	Teleseer (PCAP)	Confirms the data packet integrity and network health.
Analyze	Equitus (KGNN)	Correlates heat with grid demand and adjacent container states.
Decide	Graphixa (MaaP)	Calculates new Setpoints for Inverters and TMS.
Actuate	Modbus/IP	Deploys the command to the physical HVAC and Inverter.
Govern	TruVolt / AimLUX	Provides human oversight and "Override" capabilities.

thermal battery system

Graphixa-style schema for a multi-PID thermal battery system (like those used in large-scale data centers for load shifting) moves beyond simple tag-and-value pairs. It treats every physical component, network packet, and control logic as a node with relational edges.

In this environment, the "Thermal Battery" (e.g., chilled water tanks or phase-change materials) is the core entity, regulated by nested PID loops connected over an IP fabric.

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1. The Knowledge Graph Schema (Topological View)

Instead of a flat database, the schema represents the "Living Twin." Here is how the entities are structured:

Node Types (Vertices)

• Physical Assets: ThermalTank, Chiller, HeatExchanger, Pump.

• Control Nodes: PIDController (Primary/Secondary), LogicSolver.

• Network Nodes: IP_Gateway, Subnet_VLAN, MQTT_Broker.

• Temporal/Data Nodes: Setpoint_History, Energy_Price_Index.

Relationship Types (Edges)

• REGULATES: (PID Controller $\to$ VFD Pump)

• TRANSFERS_HEAT_TO: (Coolant Loop $\to$ Thermal Battery)

• REPORT_VIA: (PID Controller $\to$ IP_Gateway)

• DEPENDS_ON: (Secondary Loop $\to$ Primary Loop Stability)

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2. Multi-PID Interaction Logic

In a thermal battery system (TBS), you have "Cascade Control." Graphixa maps these dependencies so the "Cyberspace" layer understands that if the Primary Loop fails, the Secondary Loop will oscillate.

PID Loop	Function	Cyberspatial IP Role
Primary (Charge)	Manages the rate of energy storage (Charging the battery).	Pushes data to Equitus Fusion for "State of Charge" prediction.
Secondary (Discharge)	Controls flow to data center racks based on IT load.	Subscribes to IT Load metrics via IP to preemptively adjust flow.
Tertiary (Safety)	Prevents freezing or over-pressurization.	High-priority "Heartbeat" over the IP network to a safety PLC.

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3. The Equitus Fusion Integration

By fusing the Graphixa schema with Equitus, the system performs Predictive Re-tuning.

1. Anomaly Detection: If the $K_i$ (Integral) term in the Discharge PID begins to "wind up" (indicating it can't reach the setpoint), the Graphixa engine looks at the TRANSFERS_HEAT_TO edge.

2. Contextual Logic: It identifies that the heat exchanger is fouled or the external IP-controlled chiller is under-performing.

3. Automated Adjustment: Instead of a human technician, the "Cyberspatial" layer calculates a more efficient Setpoint ($SP$) based on the current graph state and pushes it back down via Modbus TCP.

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4. Querying the "Cyber-Physical" State

Using a graph query (like Cypher), you can ask the system complex questions that a standard SCADA system couldn't answer:

"Show me all PID loops whose Stability Index has dropped by 10% following the firmware update on the IP Gateway 'Beta-9'."

Security Layer

Because Equitus/Graphixa tracks the lineage of the data, an "IP Injection Attack" (someone trying to spoof a PID temperature to melt the battery) would be flagged. The graph would show that the reported temperature node is mathematically inconsistent with the Inflow_Sensor and Ambient_Temp nodes it is connected to.

The Clear Advantage - Vertically Integrated Energy Service Model: "Sovereign" hardware chains"

The Clear Advantage - Vertically Integrated Energy Service Model : "Sovereign" Hardware Chains

AIMLUX.ai Proposes:  Energy Systems Group (ESG), working with Green TEA Technology (an IT solutions provider focused on hybrid cloud and sustainable infrastructure) and TruVolt.ai on IBM Power10/11 creates a vertically integrated ai energy service model.

AIMLUX.ai partnership allows ESG to move from providing "physical energy infrastructure" to offering "Sovereign Energy-as-a-Service,(SES)" where every kilowatt is tracked, secured, and optimized by AI running on the world's most resilient enterprise hardware.

The "Sovereign AI" Advantage

AIMLUX.ai Supports the Automation Engineers, to develop secure thermal systems; acceptable for running this entire stack on IBM Power10/11 using the Matrix-Math Assist (MMA), datacenters can achieve this level of AI-driven energy management entirely on-premise. This is critical for high-security facilities (Gov, Defense, Finance) that cannot send their sensitive power-grid and network-topology data to the public cloud.

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1. The Collaborative Roles: Integrated Stack

AIMLUX.ai  provides a comprehensive energy services, whereby each partner handles a specific layer of the facility transformation:

• GreenTEA Technology (The Sustainable Architect): GreenTEA acts as the high-level integrator. They design the "Green IT" framework that ensures the datacenter’s compute load (the demand) is perfectly synced with the BESS and grid (the supply). They manage the deployment of the Hybrid Cloud environment on IBM Power systems.

• TruVolt.ai (The Intelligent Controller): TruVolt provides the "Physical Governance." Their AI-driven PID controllers manage the liquid cooling and battery discharge rates. By converting these controllers to IP-enabled assets, they feed real-time data into the broader ESG management platform.

• IBM Power10/11 (The Sovereign Foundation): The hardware provides the "Muscle."

• IBM Power10: Delivers 75% lower energy use per core than previous generations, acting as the primary engine for current facility upgrades.

• IBM Power11: Introduced in 2025, it brings Zero-Downtime resilience and Autonomous IT features, allowing ESG to guarantee 99.9999% uptime for critical battery storage and cooling operations.

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2. Strategic Integration: How They Work Together: Sustainable, Autonomous, Auditable

The synergy between these three entities and ESG creates a "Cyber-Physical Loop":

1. Sustainable Design: GreenTEA utilizes IBM's Sustainability Accelerator tools to model the facility’s energy footprint. They ensure that the datacenter is "AI-Ready" without exceeding the local grid's capacity.

2. Autonomous Operation: TruVolt.ai’s PID loops, running on IBM Power11's Matrix-Math Assist (MMA), predictively adjust cooling parameters ($T$) as IT workloads shift. If GreenTEA’s IT monitors detect a massive AI training burst, TruVolt automatically ramps up the Liquid Heat/Cool (LHC) system.

3. Governance & Audit: Using Equitus.ai Graphixa, every energy transaction—from the novel cathode battery to the server rack—is recorded as a Semantic Triple. This creates a "Green Audit Trail" that ESG can use to prove compliance with SEC or EU climate disclosures for their clients.

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3. Value Proposition for ESG Clients: Mission Critical Datacenters "Sovereign" hardware chains

Partner Synergy	Benefit to ESG	End-User Value (Gov/Healthcare/Industrial)
GreenTEA + IBM Power11	Reduced Carbon Footprint	Meets "Net-Zero" mandates while increasing AI compute power.
TruVolt + Novel Cathodes	Extended Asset Life	Reduces the total cost of ownership (TCO) of BESS infrastructure.
Cyberspatial + Teleseer	Cyber-Physical Security	Protects mission-critical energy assets from ransomware and sabotage.
ESG Performance Guarantee	Holistic Service Model	A single point of accountability for both the energy hardware and the AI intelligence.

4. The "Cleared" Advantage

A major differentiator for this stack is that Equitus.ai, Cyberspatial, and IBM have extensive security clearances and "Sovereign" hardware chains. This allows ESG to offer these AI-driven energy services to Department of Defense (DoD) and Intelligence Community (IC) datacenters, where data must stay on-premise and outside the public cloud.

AI-driven energy management

 

Energy Systems Group (ESG), working with GreenTEA Technology (an IT system integrator specialized in AI and sustainable infrastructure) alongside TruVolt.ai creates a comprehensive "Green AI" energy service model.

This partnership bridges the gap between legacy infrastructure upgrades and autonomous, AI-driven energy management, specifically for the high-demand datacenter and government sectors.

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1. The Strategy: Sustainable IT Meets Physical Control

GreenTEA Technology acts as the System Integrator (SI), while TruVolt.ai provides the Control Intelligence. Together, they transform how ESG delivers energy services:

• Intelligent Infrastructure Design: GreenTEA specializes in designing sustainable IT systems that integrate with renewable sources. When ESG builds a new facility, GreenTEA ensures the IT backbone is optimized for the IBM Power10/11 environment, while TruVolt.ai handles the physical stabilization of the BESS.

• Virtual Energy Auditing (MaaP): By utilizing the Graphixa "Metadata as a Product" (MaaP) layer, GreenTEA can perform remote, high-fidelity energy audits. This allows ESG to rapidly identify efficiency leaks in a facility’s "digital-physical" interface without needing weeks of onsite manual inspection.

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2. Operational Synergy: BESS & Liquid Cooling

For mission-critical datacenters, the combination of GreenTEA’s IT expertise and TruVolt’s hardware control delivers a "Zero-Waste" power cycle.

• T-Parameter Liquid Cooling: GreenTEA designs the immersion or liquid-to-chip cooling architectures, while TruVolt.ai manages the $T$ (temperature) parameters via its adaptive PID controllers. This ensures that the high-density thermal batteries (using novel cathodes) and the servers themselves are kept at optimal temperatures.

• Dynamic Load Balancing: As GreenTEA’s AI models identify shifts in IT workload (e.g., a burst in AI training), they signal TruVolt.ai to adjust the battery discharge rate. This prevents "thermal shock" to the novel cathode materials, extending the battery’s lifespan.

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3. Integrated Value for ESG Clients

Partner	Role in ESG Project	Specific Value Add
GreenTEA Technology	Sustainable Architect	Designs the "Green IT" framework and integrates AI-powered energy management systems.
TruVolt.ai	Cyber-Physical Controller	Automates BESS and Liquid Cooling via AI-PID loops to maximize hardware efficiency.
Cyberspatial	Security & Visibility	Provides the "Cleared" network map to ensure the GreenTEA/TruVolt stack is unhackable.
ESG	The Prime / Guarantor	Designs, builds, and guarantees the performance and ROI of the entire facility transformation.